<?xml version='1.0' encoding='UTF-8'?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.1d1 20130915//EN" "JATS-journalpublishing1.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta id="journal-meta-fb1622868fe446b5a821fbcdb7f4ff6e">
      <journal-id journal-id-type="nlm-ta">Sciresol</journal-id>
      <journal-id journal-id-type="publisher-id">Sciresol</journal-id>
      <journal-id journal-id-type="journal_submission_guidelines">https://jmsh.ac.in/</journal-id>
      <journal-title-group>
        <journal-title>Journal of Medical Sciences and Health</journal-title>
      </journal-title-group>
      <issn publication-format="print"/>
    </journal-meta>
    <article-meta id="article-meta-4314e17858d545cbb90f56f7cab4b3cd">
      <article-id pub-id-type="doi">10.46347/jmsh.v9i2.23.70</article-id>
      <article-categories>
        <subj-group>
          <subject>ORIGINAL ARTICLE</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title id="article-title-32444b29a82244c59e0fd26dd12556bd">The Acute Inflammatory Biomarkers - Are They Cost Effective and Real Time Early Predictors of Mortality in Acute Pneumonia? - A Prospective Observational Study</article-title>
        <alt-title alt-title-type="right-running-head">The role of Acute inflammatory biomarkers in predicting the mortality of Acute Pneumonia</alt-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name id="name-2e01d597416f4c8cb6cdadbbcebe0c68">
            <surname>Krishnamurthy</surname>
            <given-names>H A</given-names>
          </name>
          <xref id="xref-8e33a9f6f5134700b6a41be94312206e" rid="aff-b0df669bdea448699f8eb0b853e48e5a" ref-type="aff">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name id="name-599d4b167f46465ba82c348d3c1321a7">
            <surname>Roja</surname>
            <given-names>G T</given-names>
          </name>
          <xref id="xref-b17ee3a75fea40e1b99587dfb5e5f47f" rid="aff-afdbb695c8794279a354f147b3175159" ref-type="aff">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name id="name-4d137b4d40574d14a597d79f421b8da0">
            <surname>Bharathi</surname>
            <given-names>S</given-names>
          </name>
          <xref id="xref-5bc4bf301f2a4213bfbb45c255d767e9" rid="aff-2d486ea07dec4b4eac7c71455db22cbd" ref-type="aff">3</xref>
        </contrib>
        <aff id="aff-b0df669bdea448699f8eb0b853e48e5a">
          <institution>Associate Professor, Department of General Medicine , K.R. Hospital, Mysore Medical College and Research Institute</institution>
          <addr-line>Mysore, Karnataka</addr-line>
        </aff>
        <aff id="aff-afdbb695c8794279a354f147b3175159">
          <institution>Junior Resident, Department of General Medicine, K.R. Hospital, Mysore Medical College and Research Institute</institution>
          <addr-line>Mysore, Karnataka</addr-line>
        </aff>
        <aff id="aff-2d486ea07dec4b4eac7c71455db22cbd">
          <institution>Senior Resident, Department of General Medicine, K.R. Hospital, Mysore Medical College and Research Institute</institution>
          <addr-line>Mysore, Karnataka</addr-line>
        </aff>
      </contrib-group>
      <volume>9</volume>
      <issue>2</issue>
      <fpage>216</fpage>
      <permissions>
        <copyright-year>2023</copyright-year>
      </permissions>
      <abstract id="abstract-abstract-title-8f8b455779c44a65ad7b803cd881eae6">
        <title id="abstract-title-8f8b455779c44a65ad7b803cd881eae6">Abstract</title>
        <p id="paragraph-55f31f7b47bb4ce490e2899acab351c1"><bold id="strong-c548b750c09a42a5821e9450d0738927">Introduction:</bold> The CT chest and investigations like IL6 and TNFɑ are the most accurate blood biomarkers of inflammatory changes and can be used to stage the severity and outcome of acute pneumonia. . Getting all the above mentioned investigations in a financially poor patients is not always possible. There are not much studies to look for the association between early raise in serum acute inflammatory bio markers and the prediction of mortality in acute pneumonia. So this study is under taken to know the association between significant raise in serum acute inflammatory biomarkers like hs CRP, LDH, ferritin, NLR, WBCs count in predicting the mortality of acute pneumonia in comparison with the serum IL6,q-SOFA score and CT chest severity score. <bold id="strong-b0bca77780a543eabc8fa57d1379b531">Materials</bold><bold id="strong-94a06ad067b94902ba152c1663afc47f"> </bold><bold id="strong-0c00ba5659f347bda8bd8130c4f12519">&amp;</bold><bold id="strong-b30308484eaf463d9321b6eb32b3c660"> </bold><bold id="strong-244f79f83d7e4841a698d2a3e7b40b25">Method:</bold> All patients underwent standardized workup, including complete blood count, blood biochemistry, ferritin, hs-CRP, LDH,IL6,CT scan of chest ,q-SOFA score assessment and electrocardiogram. All the biochemical investigations were done on day 1 and day 5 of admission to the hospital. The patients were followed-up for the whole in hospital stay duration. <bold id="strong-9af1b3b243474c9f8909f12025f7724d">Results:</bold> All the measured serum acute inflammatory bio markers, IL6, NLR, WBCs count, q-SOFA score and chest CT severity score were significantly elevated in patients with death due to acute pneumonia than the survived ones. [p value-0.01] <bold id="strong-407e8183971641029d41697084595814">Conclusion</bold>: This study proves that, the early raise in serum acute inflammatory biomarkers have got real and cost effective predictive value and are non-inferior to total WBCs count, NLR,IL6, q- SOFA score and chest CT severity score in assessing the mortality of acute pneumonia.</p>
        <p id="p-2c33831de7c0"/>
      </abstract>
      <kwd-group id="kwd-group-c1b96f4eab8c4b5f8828ca51f0478374">
        <title>Keywords</title>
        <kwd>Acute Pneumonia</kwd>
        <kwd>Acute inflammatory bio markers</kwd>
        <kwd>CT scan of Chest</kwd>
        <kwd>IL6</kwd>
        <kwd>NLR (Neutrophils to Lymphocytes ratio)</kwd>
        <kwd>q-SOFA score</kwd>
        <kwd>WBCs count</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec>
      <title id="title-8e5fd0c87d6a4506b9250420b81190b9">Introduction</title>
      <p id="paragraph-c0f79af7609c4066ba86b9c4a735daa9">The acute pneumonia is one of the most common and important causes of hospitalization and death. The acute pneumonia is defined as the presence of any symptoms such as fever, cough, sputum,dyspnea and chest pain along with lung infiltration shadows on chest radiography. <xref id="xref-68c6140a45354dba974b71cadffe0e55" rid="R207451929041119" ref-type="bibr">1</xref> Which happens due to infection of the lung parenchyma, that is acquired in a community, in a hospital or in a long-term care facility. <xref id="xref-a2ac3a57c5364c2fa0a16e7e16808ffb" rid="R207451929041099" ref-type="bibr">2</xref>The specific etiological diagnosis of acute pneumonia is sometimes difficult because of negative laboratory findings. <xref rid="R207451929041113" ref-type="bibr">3</xref>, <xref rid="R207451929041122" ref-type="bibr">4</xref>We usually differentiate pneumonia from other non-infectious respiratory diseases by comprehensive evaluation including symptoms and signs, laboratory examinations, and the varied form of lung infiltrative shadows. However, some acute pneumonia patients, especially elderly patients, do not have cough, sputum, fever, and an elevated white blood cell count. Therefore, we usually perform blood tests for biomarkers to differentiate acute pneumonia from other non-infectious respiratory diseases. At present there are no serum biomarkers that could alone diagnose acute pneumonia, but the search for the ideal biomarker for pneumonia is ongoing, and multiple molecules are undergoing rigorous investigation. <xref id="xref-64704bca3f1a4de7bf9be2c3d81b370b" rid="R207451929041120" ref-type="bibr">5</xref> ﻿Overprescribing of antibiotics could lead to an increase in the probability of infection with antibiotic-resistant organisms. Therefore, it would be beneficial to have either rapid detection of the causative pathogens or the availability of biomarkers that would signify a bacterial infection that requires antibiotic therapy. <xref id="xref-3c9683a420db479abd0fedaa313dc96a" rid="R207451929041109" ref-type="bibr">6</xref> Biomarkers have been defined as “a biochemical factor that is objectively measured and evaluated as an indicator of normal biological processes, pathogenic processes, or pharmacologic responses to a therapeutic intervention”. <xref rid="R207451929041120" ref-type="bibr">5</xref>, <xref rid="R207451929041109" ref-type="bibr">6</xref> An ideal diagnostic serum biomarker of acute pneumonia should get elevated, when there is viral, bacterial or fungal infections, to determine the need for appropriate drug therapy. <xref id="xref-ab60ca90e86f404c8ee48129292b40f7" rid="R207451929041109" ref-type="bibr">6</xref> Many biomarkers have been developed and used for diagnosing acute pneumonia so far. However, all the biomarkers cannot be done in daily clinical practice due to financial and feasibility limitations.</p>
      <p id="paragraph-552c6338a7c244de842fa620a9387921">The IL6(normal level is &lt;7pg/ml) and q-SOFA score are significantly elevated in most of the subjects with Acute pneumonia with sepsis. <xref id="xref-56cb2c28c10049759570ef5065174a72" rid="R207451929041109" ref-type="bibr">6</xref> The q-SOFA score includes 3 components with score of one in each, they are impaired consciousness, respiratory rate of &gt;22/min and systolic Blood pressure of &lt;100mmhg. The q-SOFA score of &gt;2 is taken as significant in sepsis for the assessment of severity. <xref rid="R207451929041119" ref-type="bibr">1</xref>, <xref rid="R207451929041099" ref-type="bibr">2</xref>, <xref rid="R207451929041115" ref-type="bibr">7</xref> In healthy adults, the normal hs-CRP concentration is usually less than 1 mg/L. <xref rid="R207451929041120" ref-type="bibr">5</xref>, <xref rid="R207451929041109" ref-type="bibr">6</xref>, <xref rid="R207451929041115" ref-type="bibr">7</xref>  The secretion of hs-CRP starts within 4–6 hours, its level doubles every 8 hours and then reaches its maximum level within 36–50 hours. Once the stimulation is withdrawn, the hs-CRP level falls relatively quickly, with a half-life of 19 hours. Lactate dehydrogenase (LDH) is an enzyme implicated in the conversion of lactate to pyruvate in the cells of most body tissues and increased following tissue breakdown. The serum LDH levels serve as non-specific indicators of cellular death in many diseases. <xref rid="R207451929041115" ref-type="bibr">7</xref>, <xref rid="R207451929041118" ref-type="bibr">8</xref>  Elevations of serum ferritin levels have been associated with a variety of infectious and noninfectious disorders. Elevations in serum ferritin level (&gt;2 times the normal value) may occur with a variety of disorders as part of the acute-phase response. Acute-phase elevations in serum ferritin levels (&gt;2 times the normal value) occur early and transiently. <xref id="xref-772c681378b445f5ac95054d5a2f7fbc" rid="R207451929041121" ref-type="bibr">9</xref>  The CT chest and investigations like IL6 and TNFɑ <xref id="xref-418dab470d6d4488a53aaf71011acfa7" rid="R207451929041120" ref-type="bibr">5</xref> are the most accurate blood biomarkers of inflammatory changes and parameters used to stage the severity and outcome of acute pneumonia. <xref id="xref-076b0e77cea940d2895e7c49b2e78aa0" rid="R207451929041121" ref-type="bibr">9</xref> Getting all the above mentioned investigations is not always possible for all the patients of acute pneumonia. There are not much studies to look for the association between acute early raise in serum inflammatory bio markers and the prediction of mortality in acute pneumonia. So this study is under taken to know the association between significant early raise in serum acute inflammatory biomarkers like hs-CRP, LDH, ferritin, NLR, WBCs count in predicting the mortality of acute pneumonia in comparison with IL6,q-SOFA score and CT chest findings. </p>
      <sec>
        <title id="t-d0102ebd119f">
          <bold id="strong-0c42191bbd3345ba8de994cd58c4670a">Aims</bold>
          <bold id="strong-82335aa4a5c7453eba2720750bf315b6"> </bold>
          <bold id="strong-6906aa1e9e7c44d594551c2aa6b1fba8">&amp;</bold>
          <bold id="strong-3c8c1ede98c74cfcb36301d51923a245"> </bold>
          <bold id="strong-8d03d027b5014fff99a37b2c2ad9798d">Objectives</bold>
        </title>
        <p id="paragraph-0274600d20914171ab1a4da05ea48f1e">To study about the significance of acute inflammatory serum bio markers and their correlation with mortality of acute Pneumonia in comparison with IL6, q-SOFA score and CT scan of chest findings.</p>
      </sec>
    </sec>
    <sec>
      <title id="t-25285ed10285">
        <bold id="strong-344ae295e3394f589ed5eb4e43e9422f">Materials</bold>
        <bold id="strong-1b2ee969281e4dfdaf725e24dcdbd4b4"> </bold>
        <bold id="strong-54171a8467584c38b632eb645abf6218">&amp;</bold>
        <bold id="strong-fec54e2d3e96489db296824d74f877f4"> </bold>
        <bold id="strong-687f5c95d25e4024855ccd113fe0d5e5">Methods</bold>
      </title>
      <p id="paragraph-1f738856103a4f27b62e9985945a9c20"><bold id="strong-c16ef68a09494493a008f2bf024f4e41"> </bold>This was a prospective cohort study conducted on 180 subjects of acute pneumonia, who were admitted in icu at KR hospital, Mysuru from February 2021 to October 2022. The study was started after getting Ethical Clearance from MMC &amp; RI, Mysuru Ethical committee with the number EC REG:ECR/134/Inst/KA/2013/RR-19.</p>
      <p id="paragraph-4edda895667d4d0e985dfe72230f3b6c">In the present study, sample size was calculated using the formula n= 4pq/d<sup id="superscript-cbce39acf01947b4b501e1d28758129e">2</sup>.[1,10]<xref id="xref-479bbeddee834ce98e1877e8aceee650" rid="R207451929041119" ref-type="bibr">1</xref></p>
      <p id="paragraph-a79aa91322bd47319eee6b9390d53cfb">p = 32%, q = (100-p) = 68%, d = 11.25%.</p>
      <list list-type="bullet">
        <list-item id="li-f477852ec082">
          <p><bold id="strong-a9eedf1175aa40e4a5750fdd22f4b265">Inclusion Criteria:</bold><bold id="strong-825a7beee12c4941b1cc652cb6c1ba14"> </bold>Patients in the age group of 18-80 year with acute pneumonia</p>
        </list-item>
        <list-item id="li-16256e307bdb">
          <p><bold id="strong-f740d8effeba4d428a1fc88f0d665be8">Exclusion criteria</bold>: Patients with-Connective tissue disorders, renal dysfunction, liver dysfunction ,autoimmune diseases, on steroids, any malignancy, and on anti-metabolites were excluded.</p>
        </list-item>
      </list>
      <p id="paragraph-1b59ed6441784aac874b2bd918040124">Demographic data, pneumonia symptoms and past medical histories such as comorbidities and active medications, were obtained by patient interviews. All patients underwent standardized workup, including complete blood count, serum ferritin, hs-C-reactive protein (hs-CRP), serum LDH, RFT, LFT, IL 6, CT Chest and electrocardiogram. The systolic BP of less than 90mmhg was taken as hypotension, Respiratory rate of &gt;22/min was taken as Tachypnoea and the heart rate of more than &gt;100/min was considered as Tachycardia. <xref rid="R207451929041119" ref-type="bibr">1</xref>, <xref rid="R207451929041099" ref-type="bibr">2</xref> The serum hs-CRP level of less than 1mg/L,<xref id="xref-62bc459d9a5342d39677c8d398c567e5" rid="R207451929041115" ref-type="bibr">7</xref> the LDH level between 105 to 333IU/L<xref id="xref-521bda3f27eb48339149fe511d4e9427" rid="R207451929041118" ref-type="bibr">8</xref>, the serum ferritin level between 11 to 336µg/L, normal serum IL6 was 0 to 43.5pg/ml, normal NLR was between 0.78 to 3.53 and normal WBCs count between 4000 to 11000/µl were considered as normal ranges in this study. <xref id="xref-a0a0f7d1fdbc48bb8c4d615bb0ba4885" rid="R207451929041121" ref-type="bibr">9</xref>  The common CT scan of chest findings in Acute pneumonia iirespective of the etiology were centrilobular nodules, ground glass opacities [GGO], and lobular areas of consolidation with bronchial wall thickening. <xref id="x-0cc0a8f8d611" rid="R207451929044147" ref-type="bibr">10</xref>  All the biochemical investigations were done on day 1 and day 5 of admission to the hospital. The CT chest was done on day 1 of the study in all patients and grading of severity was done by lobes involvement with scoring. There were 0 to 4 score with percentage of lobe involvement. The 0% with 0 score, &lt;25% with 1 score, 25% to 50% with 2 score,50% to 75 % 3 score and &gt;75 % with 4 score. Total 25 score were there, in that score between 0 to 8 was considered as mild pneumonia, 8 to 16 was moderate pneumonia and the score &gt;16 was considered under severe pneumonia. The acute pneumonia staging was done based on clinical features and CURB 65 score [Confusion (Abbreviated Mental test score ≤ 8 or new disorientation in person, place, or time), raised blood <bold id="strong-b8f5fdcca6984e66a2f6288cb3778b2b">U</bold>rea nitrogen (&gt; 7 mmol/L), raised Respiratory rate (≥ 30/min), low Blood pressure (diastolic ≤ 60 mmHg or systolic &lt; 90 mmHg), Age ≥ 65 years], in to 3 stages, such as stage 1 with score&lt;1, stage 2 with score of 2 and stage 3 with score of 3 and above. <xref id="xref-cf1fa212056c4709843f48f3698e8112" rid="R207451929041104" ref-type="bibr">11</xref> T The q-SOFA score was recorded for all the patients on day 1 and day 5 of admission. The patients were followed up for the whole in hospital stay duration. The results were tabulated and studied to find the association between early elevated serum acute inflammatory bio markers, IL6,q-SOFA score and CT scan of chest severity score with the mortality due to acute pneumonia. </p>
      <sec>
        <title id="t-4a7045405d2d">
          <bold id="strong-adf9c2b5944649cb80590bf89a61f6d0">Statistical Analysis</bold>
        </title>
        <p id="paragraph-8ac51fe1fad14672b78855f38bff6afe">Data obtained from the study has been entered in to a excel sheets and analyzed using SPSS(Statistical package for social sciences) software version 20. Descriptive statistics was used to calculate mean, Standard deviation, frequency and proportions of variables. The Anova and Chi square tests were used to look for the association between multiple variables. The Pearson Correlation coefficient was used to look for association between two variables.The p value of 0.05 was taken as significant. </p>
      </sec>
    </sec>
    <sec>
      <title id="title-c701358ffc4244b294b4cbba70851816">Results</title>
      <p id="paragraph-75381fd72bae43b8a35e760ce5fc0ac6">In the present study, the acute inflammatory serum biomarkers and their correlation with the clinical features, the severity and outcome of acute pneumonia was tabulated as follows</p>
      <table-wrap id="table-wrap-22e10b75afb34403bf7a92197ead3ef4" orientation="portrait">
        <label>Table 1</label>
        <caption id="caption-32b0fb477891427fb2203f5fccee2b36">
          <title id="title-1c18c9a3c8054479a989a4465f8046b3">
            <bold id="strong-2a89956e4f084bf1ac6e45ab4336c601"/>
            <bold id="strong-72ccce4b55b547bdb3e5da23fb0e42bd"/>
            <bold id="strong-7625c9f7964148dfaf0ee1c1bc4b1b1d">Demographic characters,</bold>
            <bold id="strong-83b205e19f1749c08d2379ea50d429eb"> clinical and biochemical </bold>
            <bold id="strong-5d12d667cf3641578e7d7513ab4ccb20">features of study subjects</bold>
          </title>
        </caption>
        <table id="table-a60bcb61b32f4ee1aea5e21a4886c4fb" rules="rows">
          <colgroup/>
          <tbody id="table-section-fd2050f9b47949adbbe8dde750dc8f15">
            <tr id="table-row-1ae6ba62484247c2a3773a15008d1e6b">
              <td id="table-cell-f52a7819995e4d44a1f7e330d11f26ed" colspan="2" align="left">
                <p id="paragraph-67f17e36ff1a424ab3adc4294267c7ab"> <bold id="strong-f3dc482a416d48aa8bd7c265bb4c8a9b">Parameters</bold></p>
              </td>
              <td id="table-cell-7e52ce3ab6024ce08aae52d58fc25d2f" align="left">
                <p id="paragraph-11493333a578476c994d8ff1fddba4b3"> <bold id="strong-6c930b6da570456db11ca411c5ef7651">Numbers out of 180 (%)</bold></p>
              </td>
            </tr>
            <tr id="table-row-c769ae4ef384471d8f52966f60f523aa">
              <td id="table-cell-f065b0464381407493b11bfab97eb788" rowspan="2" align="left">
                <p id="paragraph-e3983bdf397e4446b2648bc4a4d00030">Age (years)</p>
              </td>
              <td id="table-cell-7de5891b7d23412889a30401fb6a5cbd" align="left">
                <p id="paragraph-4bde71857f3a47c981d90efb04d81162">&lt;60.51±4.5</p>
              </td>
              <td id="table-cell-b49775705b1746f1ab4ba1d02b44e4ec" align="left">
                <p id="paragraph-42a7e14964bd4cb086dcfc33fb33aeaa"> 81(45)</p>
              </td>
            </tr>
            <tr id="table-row-88323d2968e1402b9e12fc38b62c738e">
              <td id="table-cell-438d68b6b33c4ac3b9b669f02ee4851c" align="left">
                <p id="paragraph-93a7e781e65746d1b2e13c380455fefa">&gt;60.51±4.5</p>
              </td>
              <td id="table-cell-dd64446bdd7746fda96262b31fb9012e" align="left">
                <p id="paragraph-fedcba6373364ecca32e1bbbe20e9803"> 99(55)</p>
              </td>
            </tr>
            <tr id="table-row-6c038e31691342a1bed3554405a7b7ae">
              <td id="table-cell-800e5bc81b014075a1a9ab1025988ed4" rowspan="2" align="left">
                <p id="paragraph-6e2ef41b16d942cf8cd975d70f86c515">Gender </p>
              </td>
              <td id="table-cell-bccb76e9ef5c46718180b72b62d93c73" align="left">
                <p id="paragraph-b4e7be7d36c946a1982294c433c00045">Male</p>
              </td>
              <td id="table-cell-88ac468f16d4473bb36383bacc1635dd" align="left">
                <p id="paragraph-14e9870862694916b91bf67ed90adf73"> 88(48.88)</p>
              </td>
            </tr>
            <tr id="table-row-a67e006144624d14a6a78a4cf0ec8220">
              <td id="table-cell-a6d81a8f2828401cb121375c9fa9a0ab" align="left">
                <p id="paragraph-ef5d8e92384f4b4ca05087e171031269">Female</p>
              </td>
              <td id="table-cell-94133a8fc2a84fb7ba0ad415a9de2a06" align="left">
                <p id="paragraph-9e8d5275fa9d4e848b84c465856731d7"> 92(51.11)</p>
              </td>
            </tr>
            <tr id="table-row-c29f82c3fbc74488ac09efa53a432d65">
              <td id="table-cell-7b188ad3b88a487a9b438460e9470eff" colspan="2" align="left">
                <p id="paragraph-803cc90f4d6047c1b84b3104c65883bc">Fever(&gt;100F)</p>
              </td>
              <td id="table-cell-56d7c0868cbc4ba19b916a272d220400" align="left">
                <p id="paragraph-59f01bdd120c44ef8afac584b9301035"> 174(96.66)</p>
              </td>
            </tr>
            <tr id="table-row-502245e47ccf45d087039955d1398118">
              <td id="table-cell-5976b2e37260447493ce5a81d706fdaa" colspan="2" align="left">
                <p id="paragraph-e2d62cf2818243d38ecc2d7d368ab702">Breathlessness</p>
              </td>
              <td id="table-cell-507cd3ca7a614205a70246e7a946a84a" align="left">
                <p id="paragraph-9355aa91f1a74d4b88946b74e2460886"> 172(95.55)</p>
              </td>
            </tr>
            <tr id="table-row-d51d2708bef64858b7606621a3be2555">
              <td id="table-cell-47dd7aa5f86246a3b1f9bee7410119cb" colspan="2" align="left">
                <p id="paragraph-d3e6fa8f080a4128968c1c1d84be8f33">Cough</p>
              </td>
              <td id="table-cell-9281a620f4124e1abc6b0021adbb8359" align="left">
                <p id="paragraph-bf6af55f22e74562ad61c4f2839150f4"> In all </p>
              </td>
            </tr>
            <tr id="table-row-9ee92704be8e4274a06d390c552f2259">
              <td id="table-cell-23c95d2cb1664c908ff6147246ce874f" colspan="2" align="left">
                <p id="paragraph-cf6c939cf44a47499a0fbf7f373ed416">Hemoptysis</p>
              </td>
              <td id="table-cell-1e2322a949cd48f4b3e616b0e3f5d2f0" align="left">
                <p id="paragraph-9f5c812c5c8a47368219b9ea350ec66f"> 34(18.88)</p>
              </td>
            </tr>
            <tr id="table-row-07a90017dcc64e5baad423cd4a8b269d">
              <td id="table-cell-d141e49e8ad9456c89e71fbdd7d99104" colspan="2" align="left">
                <p id="paragraph-fd6dfc1fb5ee420db458b08d7c2cde43">Tachypnoea (&gt;22 breaths/min)</p>
              </td>
              <td id="table-cell-5cf3d14de9924f718e784460146e6f19" align="left">
                <p id="paragraph-6a424678877a45d2ab85b43055e040ee"> 178(98.88)</p>
              </td>
            </tr>
            <tr id="table-row-2e95b947bb964cd28eaec837acdaf01c">
              <td id="table-cell-3bd94152500d44518db42ae2c615ed7b" colspan="2" align="left">
                <p id="paragraph-9055a5278ca5476181f2aeede3640bf0">Hypotension (systolic BP&lt;90mmhg)</p>
              </td>
              <td id="table-cell-58829129b1c54d828ce9aeb8ee90008d" align="left">
                <p id="paragraph-597e7e3c9d204dd6af82ca2a36a2eb43"> 68(37.77)</p>
              </td>
            </tr>
            <tr id="table-row-4e3b6da3010545d3be9d08c5d58c05f2">
              <td id="table-cell-7c0a7c394e0d480daf8c552f9a0e8e89" colspan="2" align="left">
                <p id="paragraph-43012136c97c4ff29bd95e0d9bd880a8">Altered consciousness</p>
              </td>
              <td id="table-cell-f3ac8d6c4e5247289a6eca177c1a5d08" align="left">
                <p id="paragraph-c889d5be9fb34fe687975ca3868b57b4"> 35(19.44)</p>
              </td>
            </tr>
            <tr id="table-row-812403b4a08a4c90a02d530ed223258f">
              <td id="table-cell-78e04e88588d4dceade0ee88562cd848" colspan="2" align="left">
                <p id="paragraph-75c2c21ecdc24b0a8873dd03fc4590bb">Tachycardia (&gt;100beats/min)</p>
              </td>
              <td id="table-cell-f0a09b23a7be4088b1492ba9cbabb58d" align="left">
                <p id="paragraph-8bf80fa020bd4f34bed64be6be71237a"> 176(97.77)</p>
              </td>
            </tr>
            <tr id="table-row-24c5bbc9aa8441449756f20c90dbcc59">
              <td id="table-cell-ca894d476a494f5fa671e3509c5dd6fe" rowspan="3" align="left">
                <p id="paragraph-95ed685baef544788b18fa65bbd57548">SpO<sub id="subscript-3045a41b06c74a3bb30ed73c5ff009dc">2(%)</sub></p>
              </td>
              <td id="table-cell-e8a9df82067f4d4db2f52bfaf6a2773a" align="left">
                <p id="paragraph-13f7c3c91e3f4588bbd8dac0aa5e34ac"> &lt;90</p>
              </td>
              <td id="table-cell-ad0befa7553b49908ac0f43bec3a7c3b" align="left">
                <p id="paragraph-01183060ae6a4f0f8c4bb69867b68948"> 68(37.77)</p>
              </td>
            </tr>
            <tr id="table-row-315f2ef206f047adb7ec58e398080157">
              <td id="table-cell-80a2bc1ddc4348ec89b5edcdf9ce2a19" align="left">
                <p id="paragraph-99dbfb206730464b805c7dc34cadbf9e"> 90-95</p>
              </td>
              <td id="table-cell-7c7f72beab9b49af85a1293a7cd4281f" align="left">
                <p id="paragraph-a837710754324b598306bfb7f67f4f4c"> 64(35.55)</p>
              </td>
            </tr>
            <tr id="table-row-bfa6216d87c449da9431642d627a8f3a">
              <td id="table-cell-05c1f55cc5a746e7b060654f7d01937f" align="left">
                <p id="paragraph-af32c7a480554c7498ea6fa25d130464"> &gt;95</p>
              </td>
              <td id="table-cell-5dcc5b9fd0434d18abbdc339c8f3836a" align="left">
                <p id="paragraph-29467c1ddc464b008817413d3aca570c"> 48(26.66)</p>
              </td>
            </tr>
            <tr id="table-row-598efa31500843a68a8c8bf9b5b859a9">
              <td id="table-cell-d999136b7130474496d0826b4cae1bfe" align="left">
                <p id="paragraph-cb373c9b42634d0a9b5d90a4ecd82c57">LDH (units/ml) Mean±SD</p>
              </td>
              <td id="table-cell-0ed13e89cf8d4c5fb8b11db92fbe031d" align="left">
                <p id="paragraph-220bf2a7627d4324bef72f467859a595"> 550.76±112.45</p>
              </td>
              <td id="table-cell-f1756527179b4089b9d59cbe59d320b4" align="left">
                <p id="paragraph-9262a83b921f4577b3565a13947e189e"> in all</p>
              </td>
            </tr>
            <tr id="table-row-deafcbfe0c5649f480ff5c86b73945d9">
              <td id="table-cell-56b5539e6bcb4530bdc8a027a3006618" align="left">
                <p id="paragraph-8655232271c74fee9a94ab8d61d75897">FERRITIN (µg/l) Mean±SD</p>
              </td>
              <td id="table-cell-f4eb796fa2804d07a171fac34a8b86a3" align="left">
                <p id="paragraph-e877a9032757447184e34d3b21895ba1"> 680.56±124.68</p>
              </td>
              <td id="table-cell-b6c0ee0a075641a1876d7d3f177584ec" align="left">
                <p id="paragraph-119e5f487dc541b7b19444d8206128b9"> in all</p>
              </td>
            </tr>
            <tr id="table-row-412879dea52d422a84fd78fe83392f83">
              <td id="table-cell-32a36f0c77b54e688467dfdfe84b71e1" align="left">
                <p id="paragraph-158b1cfeddeb441987a8f827c5a7ec83">hs CRP (mg/l) Mean±SD</p>
              </td>
              <td id="table-cell-5f8fd04f4cab4647abd222e6d517a45f" align="left">
                <p id="paragraph-2bdb3ea799f54e819cdc4566995750f6"> 12.65±3.40</p>
              </td>
              <td id="table-cell-1946ecdd973d4ed38a98d1d4bee0eb94" align="left">
                <p id="paragraph-0e93b3608e3e4c97a436b07d908a4e44"> in all</p>
              </td>
            </tr>
            <tr id="table-row-521c7a40bb804ae8ba14b81d15a76424">
              <td id="table-cell-ed7430126ee249a9916a48eff5c08f46" align="left">
                <p id="paragraph-ddd861ccc61f445684317a9586602d31">q-SOFA score - Mean±SD</p>
              </td>
              <td id="table-cell-d927618083e24d809a2ee2ab2c7c5fc0" align="left">
                <p id="paragraph-6252ea6ad66b41a79c07775ec65a939b"> 2.5±0.8</p>
              </td>
              <td id="table-cell-4ec9b34cba8045418d77bb6e138aa5a5" align="left">
                <p id="paragraph-cc8842231fb44b7f8d6cb81ca51d7f7f"> In all</p>
              </td>
            </tr>
            <tr id="table-row-f97252f179534d8698ef753743174c9f">
              <td id="table-cell-67d97a7aaa394850994b8f6692f1ed74" align="left">
                <p id="paragraph-72645c8e585c4bd3a57ef03ccdb08fb9">WBC scount/µl,mean ±SD</p>
              </td>
              <td id="table-cell-0d46510cf69249bc8193f591ec29cda7" align="left">
                <p id="paragraph-4e88f878d765479dad253009f39cfa0d"> 15630.15±1540.05</p>
              </td>
              <td id="table-cell-731a9261119d4b439c6486e978da0385" align="left">
                <p id="paragraph-bf97c414c05e4883a896972db5eac22d"> In all</p>
              </td>
            </tr>
            <tr id="table-row-058ccaf2ca134b428c25799a6e614d60">
              <td id="table-cell-f23e5e7d7b1c4210b0b7ab8ca1db7279" align="left">
                <p id="paragraph-11726c22c77243c6a361b005a60809d9">Neutrophil to Lymphocytes ratio (NLR), mean±SD</p>
              </td>
              <td id="table-cell-f5578edea4ff4fc2941411fb39e1ea1d" align="left">
                <p id="paragraph-6ca9818dc76f47d694cf853a17492db0"> 4.68±1.21</p>
              </td>
              <td id="table-cell-0a40e4826382444eafe3657c53143c41" align="left">
                <p id="paragraph-4a680c82e1394485919db5ffe068aba5"> In all</p>
              </td>
            </tr>
            <tr id="table-row-60fa3fa16a9c435a9ef57d86a24cbf8e">
              <td id="table-cell-2aa100dca96340a4990f2428000c1ffa" align="left">
                <p id="paragraph-362b23c60aa3403eb5498f0b4832122a">Serum IL6 pg/ml, mean±SD </p>
              </td>
              <td id="table-cell-ac2737dd1b354906a9cdf9ed2e3810ee" align="left">
                <p id="paragraph-705f4d78e4094fbe824853ad8696c6dc"> 158.68±46.45</p>
              </td>
              <td id="table-cell-0c7e052289594ecfb69d6275827da41b" align="left">
                <p id="paragraph-2a402285f6c14744984b77fb18c9c6fd"> In all</p>
              </td>
            </tr>
            <tr id="table-row-55c369c6bbde4ca69c3e307fcbee5423">
              <td id="table-cell-160a2d2ca2124b3fa773ac74d81b9212" align="left">
                <p id="paragraph-f9ef0629bf0e4fffb8e2f89d52b85940">CT chest severity score-Mean± SD </p>
              </td>
              <td id="table-cell-b7ff2b3c970e4783a042a6802ce83e5e" align="left">
                <p id="paragraph-564b2162c1d34eed985510bef8804ef4"> 17.31±6.39</p>
              </td>
              <td id="table-cell-69e4b568fdcd4efc9b1a264a823421b0" align="left">
                <p id="paragraph-90e65a25f16244d1a8a9189f57c913fc"> In all</p>
              </td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p id="paragraph-4cbb24301df44cb898f837ccf3729c8b">Predominantly female patients with the age of more than 60 years have got affected with the acute pneumonia. The salient features were fever, cough, breathlessness and Tachypnoea in majority of patients. The impaired consciousness and Hypotension were found in 35(19.44%) and 68(37.77%) patients respectively. All the acute inflammatory markers including serum IL6 were significantly elevated in most of the patients of acute pneumonia. [<xref id="x-5b23506f8185" rid="table-wrap-22e10b75afb34403bf7a92197ead3ef4" ref-type="table">Table 1</xref>] </p>
      <p id="p-4bedf16fd79b"/>
      <table-wrap id="tw-8527c95ddcdc" orientation="portrait">
        <label>Table 2</label>
        <caption id="c-5ca3625ee596">
          <title id="t-fbaf7eb52e12">
            <bold id="strong-8d3f8a4b569d4cf3969f60346bb24073">Comparison </bold>
            <bold id="strong-70838baa37574a688bad46a95f9a1ecf">between c</bold>
            <bold id="strong-d67e26f129dc405f82760062f6f642cf">linical features </bold>
            <bold id="strong-f02f93a6a5ea4c27b483ef01e501d3e3">and mean level of acute biomarkers, </bold>
            <bold id="strong-e74ebadd71414c9e88a76359d1069610">q-SOFA score </bold>
            <bold id="strong-4b235459ee434334b4cb414935efef0e">and CT chest severity score<bold id="s-d59680719bdf"/></bold>
          </title>
        </caption>
        <table id="table-1" rules="rows">
          <colgroup/>
          <tbody id="table-section-1">
            <tr id="table-row-1">
              <td id="table-cell-1" rowspan="2" align="left">
                <p id="paragraph-51ded1c57295"/>
              </td>
              <td id="table-cell-2" colspan="9" align="left">
                <p id="p-a0de6b50e871">
                  <bold id="s-0fb4cb30e9a7">The Number of Patients(%) With Mean Serum Biomarkers</bold>
                </p>
              </td>
            </tr>
            <tr id="table-row-2">
              <td id="table-cell-3" align="left">
                <p id="p-503e12d02847">
                  <bold id="s-2441ad60f0d4">LDH level – (Mean ± SD)</bold>
                </p>
              </td>
              <td id="table-cell-4" align="left">
                <p id="paragraph-3">
                  <bold id="s-31f5ad2726f2">FERRITIN level - (Mean ± SD)</bold>
                </p>
              </td>
              <td id="table-cell-5" align="left">
                <p id="paragraph-4">
                  <bold id="s-0a067544b618">hs-CRP level - (Mean ± SD)</bold>
                </p>
              </td>
              <td id="table-cell-6" align="left">
                <p id="paragraph-5">
                  <bold id="s-ab06b7aaf589">NLR - (Mean ±  SD)</bold>
                </p>
              </td>
              <td id="table-cell-7" align="left">
                <p id="paragraph-6">
                  <bold id="s-62488334c20a">WBCs count - (Mean ± SD)</bold>
                </p>
              </td>
              <td id="table-cell-8" align="left">
                <p id="paragraph-7">
                  <bold id="s-f5743713067b">IL6 level - (Mean ± SD)</bold>
                </p>
              </td>
              <td id="table-cell-9" align="left">
                <p id="paragraph-8">
                  <bold id="s-d3c6e3fae7fa">q-SOFA score - Mean ± SD</bold>
                </p>
              </td>
              <td id="table-cell-10" align="left">
                <p id="paragraph-9">
                  <bold id="s-66aab4e559cb">CT score </bold>
                </p>
              </td>
              <td id="table-cell-11" align="left">
                <p id="paragraph-10">
                  <bold id="s-a75c6212a542">P value </bold>
                </p>
              </td>
            </tr>
            <tr id="table-row-3">
              <td id="table-cell-12" align="left">
                <p id="paragraph-11">Clinical Features </p>
              </td>
              <td id="table-cell-13" align="left">
                <p id="paragraph-12">550.76±112.45 units/ml</p>
                <p id="paragraph-13"> in numbers (%)</p>
              </td>
              <td id="table-cell-14" align="left">
                <p id="paragraph-14">680.56±124.68µg/l </p>
                <p id="paragraph-15">in numbers (%)</p>
              </td>
              <td id="table-cell-15" align="left">
                <p id="paragraph-16">12.65±3.4mg/l</p>
                <p id="paragraph-17">in numbers (%)</p>
              </td>
              <td id="table-cell-16" align="left">
                <p id="paragraph-18">4.68±1.21(%)</p>
              </td>
              <td id="table-cell-17" align="left">
                <p id="paragraph-19">15630.15±1540.05/µl (%)</p>
              </td>
              <td id="table-cell-18" align="left">
                <p id="paragraph-20">158.68±46.45pg/ml (%) </p>
              </td>
              <td id="table-cell-19" align="left">
                <p id="paragraph-21">2.5±0.8 </p>
              </td>
              <td id="table-cell-20" align="left">
                <p id="paragraph-22">&gt;16</p>
              </td>
              <td id="table-cell-21" align="left">
                <p id="paragraph-5c2753706f55"/>
              </td>
            </tr>
            <tr id="table-row-4">
              <td id="table-cell-22" align="left">
                <p id="paragraph-23">Fever</p>
              </td>
              <td id="table-cell-23" align="left">
                <p id="paragraph-24">172(95.55)</p>
              </td>
              <td id="table-cell-24" align="left">
                <p id="paragraph-25">174(96.66)</p>
              </td>
              <td id="table-cell-25" align="left">
                <p id="paragraph-26">174(96.66)</p>
              </td>
              <td id="table-cell-26" align="left">
                <p id="paragraph-27"> 174(96.66) </p>
              </td>
              <td id="table-cell-27" align="left">
                <p id="paragraph-28">174(96.66)</p>
              </td>
              <td id="table-cell-28" align="left">
                <p id="paragraph-29">174(96.66)</p>
              </td>
              <td id="table-cell-29" align="left">
                <p id="paragraph-30">176(97.77)</p>
              </td>
              <td id="table-cell-30" align="left">
                <p id="paragraph-31">78(43.33)</p>
              </td>
              <td id="table-cell-31" align="left">
                <p id="paragraph-32">0.01</p>
              </td>
            </tr>
            <tr id="table-row-5">
              <td id="table-cell-32" align="left">
                <p id="paragraph-33">Cough</p>
              </td>
              <td id="table-cell-33" align="left">
                <p id="paragraph-34">175(97.22)</p>
              </td>
              <td id="table-cell-34" align="left">
                <p id="paragraph-35">171(95)</p>
              </td>
              <td id="table-cell-35" align="left">
                <p id="paragraph-36">178(98.88)</p>
              </td>
              <td id="table-cell-36" align="left">
                <p id="paragraph-37"> 178(98.88)</p>
              </td>
              <td id="table-cell-37" align="left">
                <p id="paragraph-38">179(99.44)</p>
              </td>
              <td id="table-cell-38" align="left">
                <p id="paragraph-39">179(99.44)</p>
              </td>
              <td id="table-cell-39" align="left">
                <p id="paragraph-40">179(99.44)</p>
              </td>
              <td id="table-cell-40" align="left">
                <p id="paragraph-41">84(46.66)</p>
              </td>
              <td id="table-cell-41" align="left">
                <p id="paragraph-42">0.001</p>
              </td>
            </tr>
            <tr id="table-row-6">
              <td id="table-cell-42" align="left">
                <p id="paragraph-43">Breathlessness</p>
              </td>
              <td id="table-cell-43" align="left">
                <p id="paragraph-44">168(93.33)</p>
              </td>
              <td id="table-cell-44" align="left">
                <p id="paragraph-45">172(95.55)</p>
              </td>
              <td id="table-cell-45" align="left">
                <p id="paragraph-46">169(93.88)</p>
              </td>
              <td id="table-cell-46" align="left">
                <p id="paragraph-47"> 172(95.55)</p>
              </td>
              <td id="table-cell-47" align="left">
                <p id="paragraph-48">172(95.55)</p>
              </td>
              <td id="table-cell-48" align="left">
                <p id="paragraph-49">172(95.55)</p>
              </td>
              <td id="table-cell-49" align="left">
                <p id="paragraph-50">172(95.55)</p>
              </td>
              <td id="table-cell-50" align="left">
                <p id="paragraph-51">84(46.66)</p>
              </td>
              <td id="table-cell-51" align="left">
                <p id="paragraph-52">0.01</p>
              </td>
            </tr>
            <tr id="table-row-7">
              <td id="table-cell-52" align="left">
                <p id="paragraph-53">Tachycardia </p>
              </td>
              <td id="table-cell-53" align="left">
                <p id="paragraph-54">176(98.88)</p>
              </td>
              <td id="table-cell-54" align="left">
                <p id="paragraph-55">172(95.55)</p>
              </td>
              <td id="table-cell-55" align="left">
                <p id="paragraph-56">169(93.88)</p>
              </td>
              <td id="table-cell-56" align="left">
                <p id="paragraph-57"> 176(98.88)</p>
              </td>
              <td id="table-cell-57" align="left">
                <p id="paragraph-58">176(98.88)</p>
              </td>
              <td id="table-cell-58" align="left">
                <p id="paragraph-59">176(98.88)</p>
              </td>
              <td id="table-cell-59" align="left">
                <p id="paragraph-60">178(98.88)</p>
              </td>
              <td id="table-cell-60" align="left">
                <p id="paragraph-61">84(46.66)</p>
              </td>
              <td id="table-cell-61" align="left">
                <p id="paragraph-62">0.05</p>
              </td>
            </tr>
            <tr id="table-row-8">
              <td id="table-cell-62" align="left">
                <p id="paragraph-63">Hypotension </p>
              </td>
              <td id="table-cell-63" align="left">
                <p id="paragraph-64">56(31.11)</p>
              </td>
              <td id="table-cell-64" align="left">
                <p id="paragraph-65">68(37.77)</p>
              </td>
              <td id="table-cell-65" align="left">
                <p id="paragraph-66">64(35.55)</p>
              </td>
              <td id="table-cell-66" align="left">
                <p id="paragraph-67"> 68(37.77)</p>
              </td>
              <td id="table-cell-67" align="left">
                <p id="paragraph-68">68(37.77)</p>
              </td>
              <td id="table-cell-68" align="left">
                <p id="paragraph-69">67(37.22)</p>
              </td>
              <td id="table-cell-69" align="left">
                <p id="paragraph-70">68(37.77)</p>
              </td>
              <td id="table-cell-70" align="left">
                <p id="paragraph-71">78(43.33)</p>
              </td>
              <td id="table-cell-71" align="left">
                <p id="paragraph-72">0.04</p>
              </td>
            </tr>
            <tr id="table-row-9">
              <td id="table-cell-72" align="left">
                <p id="paragraph-73">Tachypnoea </p>
              </td>
              <td id="table-cell-73" align="left">
                <p id="paragraph-74">176(97.77)</p>
              </td>
              <td id="table-cell-74" align="left">
                <p id="paragraph-75">169(93.88)</p>
              </td>
              <td id="table-cell-75" align="left">
                <p id="paragraph-76">178(98.88)</p>
              </td>
              <td id="table-cell-76" align="left">
                <p id="paragraph-77"> 178(98.88)</p>
              </td>
              <td id="table-cell-77" align="left">
                <p id="paragraph-78">178(98.88)</p>
              </td>
              <td id="table-cell-78" align="left">
                <p id="paragraph-79">178(98.88)</p>
              </td>
              <td id="table-cell-79" align="left">
                <p id="paragraph-80">179(99.44)</p>
              </td>
              <td id="table-cell-80" align="left">
                <p id="paragraph-81">84(46.66)</p>
              </td>
              <td id="table-cell-81" align="left">
                <p id="paragraph-82">0.01</p>
              </td>
            </tr>
            <tr id="table-row-10">
              <td id="table-cell-82" align="left">
                <p id="paragraph-83">SpO<sub id="s-e6d168f9c863">2</sub>&lt;95%</p>
              </td>
              <td id="table-cell-83" align="left">
                <p id="paragraph-84">130(72.22))</p>
              </td>
              <td id="table-cell-84" align="left">
                <p id="paragraph-85">126(70)</p>
              </td>
              <td id="table-cell-85" align="left">
                <p id="paragraph-86">132(73.33)</p>
              </td>
              <td id="table-cell-86" align="left">
                <p id="paragraph-87"> 132(73.33) </p>
              </td>
              <td id="table-cell-87" align="left">
                <p id="paragraph-88">128(71.11)</p>
              </td>
              <td id="table-cell-88" align="left">
                <p id="paragraph-89">132(73.33)</p>
              </td>
              <td id="table-cell-89" align="left">
                <p id="paragraph-90">132(73.33)</p>
              </td>
              <td id="table-cell-90" align="left">
                <p id="paragraph-91">84(46.66)</p>
              </td>
              <td id="table-cell-91" align="left">
                <p id="paragraph-92">0.05</p>
              </td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p id="p-e6218836a679"/>
      <p id="paragraph-28e8056fcc1d468995bb0cca177ed598">The features of acute pneumonia, like fever, cough, breathlessness, tachypnoea were found in majority of patients[p value 0.05]. The total mean WBCs count, serum IL6 and NLR (Neutrophils to Lymphocytes ratio) was also highly elevated in most of the patients of acute pneumonia. There was significant correlation between the main clinical features of acute pneumonia with that of elevated WBCs count, NLR, IL6, acute inflammatory biomarkers and chest CT severity score. [<xref id="x-0f1f7f64f5c5" rid="tw-8527c95ddcdc" ref-type="table">Table 2</xref> ]</p>
      <p id="p-b5fdaae261b9"/>
      <p id="p-fe0583b3b631"/>
      <table-wrap id="tw-2e33f53493b2" orientation="portrait">
        <label>Table 3</label>
        <caption id="c-fbdf3300c21d">
          <title id="t-331e34d683c4">
            <bold id="strong-743a3a8aa53749708c746a57fd174a67">Com</bold>
            <bold id="strong-105932144761458895ca80afdc666bf7">parison between the stages of acute pneumonia and the level of mean biomarkers, </bold>
            <bold id="strong-a1da2e8af05c44f6a7a1de968b1e31b3">q</bold>
            <bold id="strong-fad04bd4aa28494b9f820a93d3f7babf">-SOFA s</bold>
            <bold id="strong-e0ef08a67f254c279d5564b135212d52">core </bold>
            <bold id="strong-578a5ac529054f2d919d97761ad266b7">and chest CT severity score<bold id="s-ccd6926ce751"/></bold>
          </title>
        </caption>
        <table id="t-261f265349e0" rules="rows">
          <colgroup>
            <col width="9.25"/>
            <col width="21.240000000000002"/>
            <col width="19.36"/>
            <col width="22.740000000000002"/>
            <col width="19.39"/>
            <col width="8.020000000000003"/>
          </colgroup>
          <tbody id="ts-62ce8dd5ecde">
            <tr id="tr-6ebde4b3bf4f">
              <td id="tc-8f9257400cfd" colspan="2" align="left">
                <p id="paragraph-b5bf90baf10f"/>
              </td>
              <td id="tc-eecb52ef14a3" colspan="3" align="center">
                <p id="p-599177acda6c">
                  <bold id="s-941e4faa7bad">Stages of acute pneumonia</bold>
                </p>
              </td>
              <td id="tc-0fb7b1282ce4" rowspan="2" align="left">
                <p id="p-a36e3693db61">
                  <bold id="s-131a2e51dcd2">P value </bold>
                </p>
              </td>
            </tr>
            <tr id="tr-fed3fc8e9f08">
              <td id="tc-0bedc2fc0335" colspan="2" align="left">
                <p id="p-4ed55929f22b">
                  <bold id="s-dbfc370040f2">Main parameters level</bold>
                </p>
              </td>
              <td id="tc-a7febfbbcdbf" align="left">
                <p id="p-af1350b4dec7">
                  <bold id="s-3b75789286eb">Mild </bold>
                </p>
              </td>
              <td id="tc-b589b1b49266" align="left">
                <p id="p-a34bd53c2c4d">
                  <bold id="s-c23a96677730">moderate</bold>
                </p>
              </td>
              <td id="tc-35cb280d1bfe" align="left">
                <p id="p-777b7f186eab">
                  <bold id="s-2583d45f84c5">severe</bold>
                </p>
              </td>
            </tr>
            <tr id="tr-9bce9b1deea9">
              <td id="tc-eb433b2cf72c" rowspan="8" align="left">
                <p id="p-b25846d99e1c">At Day 1</p>
              </td>
              <td id="tc-65d67f3f0693" align="left">
                <p id="p-67be887f62a9">Mean hs-CRP ± SD (mg/l)</p>
              </td>
              <td id="tc-8e470828a25b" align="left">
                <p id="p-e5a1a418b3a0">14.65±3.6</p>
              </td>
              <td id="tc-42d0bda75689" align="left">
                <p id="p-e2d2fc6c8fb6">18.11±2.4</p>
              </td>
              <td id="tc-d20334f7ca5e" align="left">
                <p id="p-fe634ae13d5f">22.12±3.7</p>
              </td>
              <td id="tc-b77088b190e9" align="left">
                <p id="p-1fcf269df49e">0.01</p>
              </td>
            </tr>
            <tr id="tr-59e728a4e987">
              <td id="tc-2c15fb225059" align="left">
                <p id="p-84ff038364f1">Mean LDH ± SD (units/l)</p>
              </td>
              <td id="tc-f72aed27a609" align="left">
                <p id="p-eaeeb30c5f32">460.25±45.64</p>
              </td>
              <td id="tc-3b3b951cee95" align="left">
                <p id="p-3b80e289d8c8">568.35±98.54</p>
              </td>
              <td id="tc-0e66ed871780" align="left">
                <p id="p-89f47f24a72f">612.41±112.28</p>
              </td>
              <td id="tc-458e6b732c04" align="left">
                <p id="p-2ed654214e9c">0.05</p>
              </td>
            </tr>
            <tr id="tr-5e0e17741f91">
              <td id="tc-d18a3d9b93d7" align="left">
                <p id="p-98530e7a11aa">Mean Ferritin ± SD (µg/l)</p>
              </td>
              <td id="tc-797a8dda3d1f" align="left">
                <p id="p-b66ea577636f">789.61±21.6</p>
              </td>
              <td id="tc-46afe23b0947" align="left">
                <p id="p-2881d242f0d0">886.65±113.56</p>
              </td>
              <td id="tc-29e9a8fae495" align="left">
                <p id="p-cc0946a62f22">996.48±156.6</p>
              </td>
              <td id="tc-7dafb2ed68b7" align="left">
                <p id="p-b120893b7070">0.05</p>
              </td>
            </tr>
            <tr id="tr-688fc24d03e8">
              <td id="tc-51b1311952fb" align="left">
                <p id="p-b4e7d0b6234a">Mean NLR ± SD</p>
              </td>
              <td id="tc-f90fae13a072" align="left">
                <p id="p-88a9eefc766e">3.90±1.2</p>
              </td>
              <td id="tc-55f7f4127a5a" align="left">
                <p id="p-e6e9f7f07b6d">4.20±1.18</p>
              </td>
              <td id="tc-a74d7183e258" align="left">
                <p id="p-6f4c24d6463f">5.45±2.01</p>
              </td>
              <td id="tc-72b4fda30c15" align="left">
                <p id="p-e2523e43cc2c">0.04</p>
              </td>
            </tr>
            <tr id="tr-e90aa9dbedd9">
              <td id="tc-f6998234756b" align="left">
                <p id="p-3a239bb85ff7">Mean WBCs count ± SD (cells/µl)</p>
              </td>
              <td id="tc-bfd0bc74c922" align="left">
                <p id="p-c6e5ee464cdf">12452.53±1233.12</p>
              </td>
              <td id="tc-6895958d0d3c" align="left">
                <p id="p-8b0cfa90035f">14563.12±1634.54</p>
              </td>
              <td id="tc-c306d7063231" align="left">
                <p id="p-de4248850080">16346.56±1452.23</p>
              </td>
              <td id="tc-a39a2a39b413" align="left">
                <p id="p-c359980bcbe7">0.05</p>
              </td>
            </tr>
            <tr id="tr-c88b6f0b5da1">
              <td id="tc-dc030b987f42" align="left">
                <p id="p-c4ded2d509cb">Mean IL6 ±  SD (pg/ml)</p>
              </td>
              <td id="tc-35d2e50e64c4" align="left">
                <p id="p-50ccccd2b990">116.23±25.45</p>
              </td>
              <td id="tc-43b1a9303ea9" align="left">
                <p id="p-144be083f426">168.46±65.78</p>
              </td>
              <td id="tc-9ad3ca56d27a" align="left">
                <p id="p-b4977624857a">289.76±76.84</p>
              </td>
              <td id="tc-2ebe659988ad" align="left">
                <p id="p-e589929b315f">0.01</p>
              </td>
            </tr>
            <tr id="tr-bbd2d7e25ddc">
              <td id="tc-2a30dea4dbea" align="left">
                <p id="p-8edfb887fdde">Mean q-SOFA score</p>
              </td>
              <td id="tc-2eb38d7a3a06" align="left">
                <p id="p-ce95c5a431d0">1.5</p>
              </td>
              <td id="tc-dfbb523e45f3" align="left">
                <p id="p-700570466b6b">2</p>
              </td>
              <td id="tc-104563a52009" align="left">
                <p id="p-a4c4317b6fd5">2</p>
              </td>
              <td id="tc-c403472e5fe5" align="left">
                <p id="p-64ae336e4810">0.01</p>
              </td>
            </tr>
            <tr id="tr-a17cfddc677e">
              <td id="tc-d6db5e5e0d2f" align="left">
                <p id="p-749da3d3e8cc">CT severity score</p>
              </td>
              <td id="tc-df9dd63e7c97" align="left">
                <p id="p-cb780dba74b9">&lt;8</p>
              </td>
              <td id="tc-6c8632743151" align="left">
                <p id="p-97428ec82457">8 to 16</p>
              </td>
              <td id="tc-28e22b9273ef" align="left">
                <p id="p-7ed38a568e64">&gt;16</p>
              </td>
              <td id="tc-9b0a6e195eff" align="left">
                <p id="p-1a91dcea595c">0.05</p>
              </td>
            </tr>
            <tr id="table-row-11">
              <td id="tc-18e993a8a98d" rowspan="7" align="left">
                <p id="p-ce13cfb3a001">At Day 5</p>
              </td>
              <td id="tc-26c2f76f7af9" align="left">
                <p id="p-4f1bbccbecd9">Mean hsCRP ± SD (mg/l)</p>
              </td>
              <td id="tc-5b4d68e5250e" align="left">
                <p id="p-151e52f1af45">16.65±4.6</p>
              </td>
              <td id="tc-403b9287e672" align="left">
                <p id="p-ca6f0169aedc">22.11±2.51</p>
              </td>
              <td id="tc-0275eadb9c2f" align="left">
                <p id="p-800bdae21132">24.12±4.7</p>
              </td>
              <td id="tc-a4e2bcb3e91b" align="left">
                <p id="p-76c552f537c1">0.01</p>
              </td>
            </tr>
            <tr id="table-row-12">
              <td id="tc-10ee0ebad308" align="left">
                <p id="p-2de1d4c074dc">Mean LDH ± SD (units/ml)</p>
              </td>
              <td id="tc-85c7b617bc38" align="left">
                <p id="p-5f1418d93e02">660.25±45.54</p>
              </td>
              <td id="tc-e60c88735a47" align="left">
                <p id="p-3598e6c474e5">768.35±88.54</p>
              </td>
              <td id="tc-5609644980c3" align="left">
                <p id="p-e96a0468c0af">814.41±102.28</p>
              </td>
              <td id="tc-359cb8f0e148" align="left">
                <p id="p-d7d422490228">0.05</p>
              </td>
            </tr>
            <tr id="table-row-13">
              <td id="tc-7483d9191ff8" align="left">
                <p id="p-210f94f41a49">Mean Ferritin ± SD(µg/l)</p>
              </td>
              <td id="tc-e617bce44ccf" align="left">
                <p id="p-25319bf0c370">989.61±124.06</p>
              </td>
              <td id="tc-143193ba2b8d" align="left">
                <p id="p-dd9c1563e84f">986.65±113.26</p>
              </td>
              <td id="tc-82afb3a80a9a" align="left">
                <p id="p-7bf3332988e9">1096.48±146</p>
              </td>
              <td id="tc-839887cfc236" align="left">
                <p id="p-1057fb4cc725">0.05</p>
              </td>
            </tr>
            <tr id="table-row-14">
              <td id="tc-42bf00cd8d59" align="left">
                <p id="p-752a97e46503">Mean NLR ± SD (Neutrophils/ Lymphocytes ratio)</p>
              </td>
              <td id="tc-699a3d823820" align="left">
                <p id="p-4abca9fd1183">4.1±1.03</p>
              </td>
              <td id="tc-87448ee7bef6" align="left">
                <p id="p-855b83e5ac82">4.14±2.18</p>
              </td>
              <td id="tc-19d9d563166e" align="left">
                <p id="p-2a4be97c1a51">5.68±2.48</p>
              </td>
              <td id="tc-fb0103733416" align="left">
                <p id="p-3285476b1a2b">0.01</p>
              </td>
            </tr>
            <tr id="table-row-15">
              <td id="tc-a842f0632308" align="left">
                <p id="p-2bce31ffb05e">Mean WBCs count ± SD (cells/µl)</p>
              </td>
              <td id="tc-8a432824c077" align="left">
                <p id="p-3b798c96b237">13542.12±957.56</p>
              </td>
              <td id="tc-3ea6cb59676d" align="left">
                <p id="p-882817f86065">16453.56±1278.34</p>
              </td>
              <td id="tc-e585cec63671" align="left">
                <p id="p-97755fbaaf34">16789.78±1286.92</p>
              </td>
              <td id="tc-b2ef9d882edf" align="left">
                <p id="p-5706968c85fd">0.06</p>
              </td>
            </tr>
            <tr id="table-row-16">
              <td id="tc-bcf5ee8fcfcf" align="left">
                <p id="p-71d0030c378d">Mean IL6 ± SD (pg/ml)</p>
              </td>
              <td id="tc-020b6b011ab8" align="left">
                <p id="p-555c41ccbc4d">165.46±38.56</p>
              </td>
              <td id="tc-1a25b5f5c09c" align="left">
                <p id="p-79ec9aef1281">257.68±58.87</p>
              </td>
              <td id="tc-f726cb231363" align="left">
                <p id="p-268fc9525d04">356.69±98.64</p>
              </td>
              <td id="tc-9a568498c23a" align="left">
                <p id="p-6ed540b3510f">0.01</p>
              </td>
            </tr>
            <tr id="table-row-17">
              <td id="tc-a3bacb4ee523" align="left">
                <p id="p-c723898fdb27">Mean q-SOFA score</p>
              </td>
              <td id="tc-98772ba85371" align="left">
                <p id="p-10a415e3fed1">2</p>
              </td>
              <td id="tc-a9bb4a3a55c4" align="left">
                <p id="p-1ddf9b8cac86">2.5</p>
              </td>
              <td id="tc-bafb6ff1a089" align="left">
                <p id="p-805bc76642ab">3</p>
              </td>
              <td id="tc-f53e86427f57" align="left">
                <p id="p-d3feab84c985">0.01</p>
              </td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p id="p-18ff27d41937"/>
      <p id="paragraph-9c5ad80f670f46d88e5e6247d24bd780">There was ascending and significant correlation between acute inflammatory serum biomarkers,IL6,NLR, Total WBCs count and CT chest findings with stages of acute pneumonia.[P value -0.01] [<xref id="x-df91f6c4f807" rid="tw-2e33f53493b2" ref-type="table">Table 3</xref>] </p>
      <p id="p-3bbf0e1e230f"/>
      <table-wrap id="tw-729a24a1dbea" orientation="portrait">
        <label>Table 4</label>
        <caption id="c-fe20c383a3b6">
          <title id="t-58855bf524c4">
            <bold id="strong-5e598864cfbe463fb0bf6e249edf369d">C</bold>
            <bold id="strong-1e53c7779316405da28cb7cddab3224a">omparison b</bold>
            <bold id="strong-2c7aa95cad2747d285baef3fbc10c31c">etween </bold>
            <bold id="strong-163e83420362463ba2750bc5c0ada5dc">the level of serum a</bold>
            <bold id="strong-735940a5000b473f84d0b01ab6bf47d1">cute </bold>
            <bold id="strong-325b8983fdea40e68bdf1736b80cf970">inflammatory biomarkers,</bold>
            <bold id="strong-93a350cdb58f4f40ad730718511703a6"> </bold>
            <bold id="strong-18dcfd93b40c4190b29afab113020a21">I</bold>
            <bold id="strong-f061145c2c47467f99c6996c06f38aaa">L6</bold>
            <bold id="strong-1212cc8f791d45b4b96c41a2e55bbf73">,</bold>
            <bold id="strong-81933544e70845a6b48f09de2fd1ff6a"> </bold>
            <bold id="strong-5772815e032146fabc60a1c4517d45bf">N</bold>
            <bold id="strong-2ad0ad0117cd431abc1129ef781731b3">LR, </bold>
            <bold id="strong-b5366c07e1c540718ed1b7cdc5aaccc2">Total WBCs count,</bold>
            <bold id="strong-23c180e48b1947b197064f13a88d98ee"> </bold>
            <bold id="strong-dcbe45cb0ee5402ea891f8b8b47a3beb">q-SOFA score and CT chest severity score with the in H</bold>
            <bold id="strong-78aa67ea99934ff692977a0b75f73f0b">ospital </bold>
            <bold id="s-6a119d8fcc9c">Outcome</bold>
          </title>
        </caption>
        <table id="t-5f32e4e3f426" rules="rows">
          <colgroup>
            <col width="28.04"/>
            <col width="32.589999999999996"/>
            <col width="28.040000000000003"/>
            <col width="11.329999999999998"/>
          </colgroup>
          <tbody id="ts-3788663ba60a">
            <tr id="tr-4c0670f84b41">
              <td id="tc-1f81e278c5d2" align="left">
                <p id="paragraph-dcb8f43b20d4"/>
              </td>
              <td id="tc-b80d48673613" colspan="2" align="left">
                <p id="p-aba75a758f6a">
                  <bold id="s-5d7c131cd62a">In Hospital Outcome (Mean Duration Stay of 10 Days)</bold>
                </p>
              </td>
              <td id="tc-bdfc5e755e5c" align="left">
                <p id="p-42b3f9fdc6e3">
                  <bold id="s-1f75b2fce191">P value </bold>
                </p>
              </td>
            </tr>
            <tr id="tr-04a730f61ead">
              <td id="tc-8d34e9d4cb1f" align="left">
                <p id="p-cdfee3ccc977">Biomarkers </p>
              </td>
              <td id="tc-8e2cd2cff0b3" align="left">
                <p id="p-1b3b8cb3e730">In 135 (75%) survived Patients </p>
              </td>
              <td id="tc-e0546524ba52" align="left">
                <p id="p-7493d452a0b4">In 45 (25%) Died patients</p>
              </td>
              <td id="tc-5326926d15b7" align="left">
                <p id="paragraph-dcdde30edce5"/>
              </td>
            </tr>
            <tr id="tr-82b1ca463d5d">
              <td id="tc-dfdab6bc09a8" align="left">
                <p id="p-dfb60e469172">Serum LDH (units/l) [mean ± SD]</p>
              </td>
              <td id="tc-818ee960bf9d" align="left">
                <p id="p-3dcdc294f29e">451.31±41.34</p>
              </td>
              <td id="tc-7a90485cb97e" align="left">
                <p id="p-48d1e0627331">618.34±45.51</p>
              </td>
              <td id="tc-9b362fc7124e" align="left">
                <p id="p-732f0dab8903">0.06</p>
              </td>
            </tr>
            <tr id="tr-a2bb3447b45c">
              <td id="tc-c529ccca0498" align="left">
                <p id="p-8218af689a70">Serum FERRITIN (µg/l) [mean ± SD] </p>
              </td>
              <td id="tc-e7c36841da99" align="left">
                <p id="p-df5a0340f706">414.12±34.62</p>
              </td>
              <td id="tc-075695c8c28a" align="left">
                <p id="p-20fbb8310ff6">780.64±67.81</p>
              </td>
              <td id="tc-6e3751a1f316" align="left">
                <p id="p-11b44d08a7a8">0.05</p>
              </td>
            </tr>
            <tr id="tr-f744777e6f6c">
              <td id="tc-4fc29f9d5607" align="left">
                <p id="p-3dc040c922f2">Serum hs-CRP (mg/l)[mean ± SD]</p>
              </td>
              <td id="tc-a54b8cf60531" align="left">
                <p id="p-65acd310ef72">09.12±3.44</p>
              </td>
              <td id="tc-735366dfddea" align="left">
                <p id="p-79fa3b33f81e">15.34±3.69</p>
              </td>
              <td id="tc-0f23304d8f4f" align="left">
                <p id="p-8743f8de7199">0.01</p>
              </td>
            </tr>
            <tr id="tr-5fa7430cf5fd">
              <td id="tc-2271f4e909ec" align="left">
                <p id="p-505e4f9e20af">Blood WBCs (count/µl) - mean ± SD</p>
              </td>
              <td id="tc-1da1adc5a0a8" align="left">
                <p id="p-7a7e6a640b85">13452.53±1243.12</p>
              </td>
              <td id="tc-549d44072468" align="left">
                <p id="p-77ca88b37109">16564.45±1563.23</p>
              </td>
              <td id="tc-9551137169fe" align="left">
                <p id="p-4cb80a32ce7f">0.01</p>
              </td>
            </tr>
            <tr id="tr-a5b894c34142">
              <td id="tc-ef9e6caef252" align="left">
                <p id="p-72e9a0b95d0f">Blood NLR (Neutrophils / Lymphocytes ratio) -mean ± SD</p>
              </td>
              <td id="tc-bb59e05b13d8" align="left">
                <p id="p-611055eda8bc">3.89±1.24</p>
              </td>
              <td id="tc-1719e1a69f76" align="left">
                <p id="p-dc80245c48de">5.48±2.43</p>
              </td>
              <td id="tc-0b8414cdb10b" align="left">
                <p id="p-e750d92efb4e">0.01</p>
              </td>
            </tr>
            <tr id="tr-1567123ec7bd">
              <td id="tc-f4accb2b259f" align="left">
                <p id="p-ed0d87e0e957">Mean q-SOFA score </p>
              </td>
              <td id="tc-425fe2ca8849" align="left">
                <p id="p-327ee3cb93eb">2</p>
              </td>
              <td id="tc-4d57f4850aef" align="left">
                <p id="p-0541731d509d">3</p>
              </td>
              <td id="tc-3e61e3f9de89" align="left">
                <p id="p-053ecc0910cb">0.01</p>
              </td>
            </tr>
            <tr id="tr-8342b0758381">
              <td id="tc-bf6fa9783afe" align="left">
                <p id="p-e8ea4f745093">Serum IL6 (pg/ml) - mean ± SD</p>
              </td>
              <td id="tc-a8ef9f8644a2" align="left">
                <p id="p-3b6b5d64d4bb">146.34±78.46</p>
              </td>
              <td id="tc-0861db69f078" align="left">
                <p id="p-2f065016d95a">259.76±98.68</p>
              </td>
              <td id="tc-ffb539556d2f" align="left">
                <p id="p-d6385e238328">0.01</p>
              </td>
            </tr>
            <tr id="tr-b6ddc270737e">
              <td id="tc-9a848a8f5145" align="left">
                <p id="p-82e4f98b8cab">CT severity score - mean ± SD</p>
              </td>
              <td id="tc-95b58d1a2817" align="left">
                <p id="p-8cc3ed0b7bb8">12.51±04.23</p>
              </td>
              <td id="tc-516f515f419c" align="left">
                <p id="p-c27a421b5c0c">22.12±8.56</p>
              </td>
              <td id="tc-d61dbae19d31" align="left">
                <p id="p-34fb740db09b">0.05</p>
              </td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p id="paragraph-b5fca2cf7a2e49c88fe1d5e8009ab8de">There was statistically significant association between elevated levels of acute serum biomarkers, IL6, q-SOFA score and mortality of acute pneumonia. [P value-0.01] The 45(25%) patients with high level of serum biomarkers, IL 6, q-SOFA score and CT severity score had mortality. [<xref id="x-8ec4338e3cbf" rid="tw-729a24a1dbea" ref-type="table">Table 4</xref>]</p>
    </sec>
    <sec>
      <title id="title-39052194bc214bbab51f53ab882e6160">Discussion</title>
      <p id="paragraph-fefb4112074e477185f28c4a1ee86099">This study was under taken to know the association between early elevated acute serum inflammatory biomarkers and the mortality of acute pneumonia in comparison with the elevated IL6, q-SOFA score and CT scan chest severity score. Indeed this study finds that, there was a strong and significant positive association between early elevated acute inflammatory serum biomarkers and the mortality of acute pneumonia in comparison with the elevated IL6, q-SOFA score and CT scan chest severity score of acute pneumonia. In this study, patients found with the mean age of more than 60.51±4.5 years were 99(55%). The predominant gender involved in this study was female patients [92(51.11%)]. Which was compared with the study by Richardson S-where the median age was 63 years and in that 37.5% were female patients. <xref id="xref-df7cf881093042d5af5cfec7a4814252" rid="R207451929041106" ref-type="bibr">12</xref> This shows that the acute pneumonia was very common in the elderly age group patients with the female preponderance. In this study the predominant features were fever, breathlessness, cough, tachypnoea and tachycardia in majority patients. Which in comparison to study by Mandell A. Lionel et al, where it found that, the fever, dyspnoea ,cough with sputum, tachypnoea and tachycardia were seen in majority of patients, irrespective of the etiology of  acute pneumonia.<xref id="xref-5665acc13e8148e0936f14ca4871579f" rid="R207451929041117" ref-type="bibr">13</xref> The acute severe  espiratory failure with spo<sub id="subscript-8f556d889735442cb9fad16e2d19c292">2 </sub>of &lt;90 was found in 68(37.77%) patients in this study. This shows that, the acute pneumonia could still be a one of the cardinal causes of acute respiratory failure. So high intensity life care, preferably respiratory ICU with close monitoring of patients was required to prevent mortality. <xref rid="R207451929041106" ref-type="bibr">12</xref>, <xref rid="R207451929041117" ref-type="bibr">13</xref> The serum biomarkers, such as serum hs-CRP, ferritin, LDH, IL 6, NLR, Total WBCs count and q-SOFA score were equally elevated along with the mean CT severity score of 17.31 in most of the patients. This shows that, the studied serum bio markers have got high sensitivity in assessing the acute inflammation along with assessing the severity, staging and mortality of acute pneumonia. The serum hs-CRP and IL6 were highly elevated in all stages of acute pneumonia and also it was showing significant correlation with the severity and mortality of acute pneumonia[p value 0.01]. This was compared with the study by Kim Woo Min et al, where the acute serum biomarkers like hs-CRP, Ferritin, LDH, total WBCs count, q-SOFA score and IL6 were elevated in most of the patients and were correlating with the mortality of acute pneumonia. <xref id="xref-fcfd528522644c04ab226c39d72428b2" rid="R207451929041111" ref-type="bibr">14</xref> The serum LDH, serum ferritin, hs-CRP, IL6 and q-SOFA score levels were significantly elevated along with high mean CT severity score [17.31] in all stages of pneumonia and were persistently raised even after 5<sup id="superscript-044920915fba4bf7bb43745589fe2413">th</sup> day of admission. This once again reiterates that, the serum biomarkers, IL6, q-SOFA score and CT severity score were correlating with the severity and stages of acute pneumonia, irrespective of etiology. <xref id="xref-790adcc76f4d488db4bdfe0f05edffdf" rid="R207451929041116" ref-type="bibr">15</xref> This was in comparison with the study by Tseng Cheng Chia et al, states that the estimated  acute inflammatory biomarkers, such as  CRP, procalcitonin, D-dimer, lactate, albumin, high-mobility group protein B1 (HMGB1), IL6, interleukin-8 (IL-8), interleukin-10 (IL-10 ) and CT severity scores on day 1 and day 3 of  ICU admission were elevated n patients of acute severe pneumonia than the patients of mild pneumonia and its complications. <xref id="xref-b40ece89b50d4fbbb3d052ffd4de8650" rid="R207451929041110" ref-type="bibr">16</xref> In this study the estimated acute serum biomarkers  were correlating with mortality, irrespective of stages of acute pneumonia. This again reiterates  that, the early elevated acute serum bio markers have got high predictive value in assessing the mortality of acute pneumonia. This was correlated with the study by Tseng Cheng Chia et al and Paula Ramírez et. al., states that the acute serum bio markers were serially elevated in   patients of death due to acute pneumonia than the survived ones. Which once again reiterates that, the serum acute inflammatory biomarkers have got positive association with the severity and mortality of acute pneumonia. <xref rid="R207451929041110" ref-type="bibr">16</xref>, <xref rid="R207451929041114" ref-type="bibr">17</xref> The study by Nouvenne A states that, the serum acute inflammatory bio markers can be used in patients having  multiple morbidity conditions, where they were having linear correlation with the severity of acute pneumonia and they could be used in segregating acute pneumonia patients. <xref rid="R207451929041107" ref-type="bibr">18</xref>, <xref rid="R207451929041103" ref-type="bibr">19</xref> As per studies by Agnello L.et.al. and Zhydkov A.et.al. the acute biomarkers like serum procalcitonin and CRP were correlating with severity and mortality of acute pneumonia. [20,21] <xref rid="R207451929044343" ref-type="bibr">20</xref>, <xref rid="R207451929041112" ref-type="bibr">21</xref>  The acute inflammatory serum  biomarkers could be used in deciding the need of admission to ICU, deciding about the change in treatment protocol and the timing of discharge of pneumonia patients. <xref rid="R207451929041098" ref-type="bibr">22</xref>, <xref rid="R207451929041100" ref-type="bibr">23</xref>, <xref rid="R207451929044414" ref-type="bibr">24</xref> The study by  Tsai Min Chih revealed that ,the salivary CRP could be used in predicting the severity of acute pneumonia in paediatric patients and it was correlating with the serum hs-CRP level. <xref id="xref-c4814d5415ab4bb38aaeba7007af7b12" rid="R207451929041101" ref-type="bibr">25</xref> As per the study of Liu Jinrong.et al., the serum biomarkers could be used to decide and chose appropriate antibiotics to treat the acute pneumonia. <xref id="xref-0199c3d01e5a46c8bd27109059ec8546" rid="R207451929041108" ref-type="bibr">26</xref> According to the study by Fernandez JF., irrespective of etiology and stage, the serum markers were highly cost effective tool in managing the acute pneumonia.<xref id="xref-6aeed61fb011431d9b2ddb080b54ddf9" rid="R207451929041105" ref-type="bibr">27</xref> So the high degree of acute inflammatory response along with elevated levels of serum acute biomarkers like hs-CRP, LDH, Ferritin, NLR and WBCs count  plays a significant role in detecting the degree of damage caused to all organ tissues with multi organ dysfunction and deciding the type of medications in comparison with IL6 and CT chest.<xref rid="R207451929041102" ref-type="bibr">28</xref>, <xref rid="R207451929041111" ref-type="bibr">14</xref> The serum hs-CRP level, IL 6 level, NLR and WBCs counts were more significantly elevated [p value- 0.01] as compared to the serum ferritin and LDH level in patients of death due to acute pneumonia. The mean q-SOFA score was 3 and the mean CT severity score was 22.12 in patients of death due to acute pneumonia and it was positively correlating with all the  early elevated serum acute inflammatory biomarkers including high NLR, WBCs count and IL6 level. </p>
      <sec>
        <title id="t-d2444247f71b"> <bold id="strong-06b30867a6b04cb29f6ca283477b8e14">Limitations and suggestions</bold></title>
        <p id="p-772e16971fa2">The sample size was limited, the studied acute inflammatory biomarkers needs to be correlated with highly  sensitive and specific bio markers like TNFɑ. The patients follow up was limited only to, in hospital stay duration. Further more days of follow up was required to know the more plausible correlation between acute serum biomarkers and other causes of mortality like fibrosis of lung ,lung abscess and bronchiectasis etc.,</p>
      </sec>
    </sec>
    <sec>
      <title id="t-3396dd5c7f8e">
        <bold id="strong-540b28cdc0264b9a9d7a8bff7d2449bd">Conclusion</bold>
      </title>
      <p id="p-30a84d708d6e">This study proves that, there is a irrefutable  positive association between early elevated  serum acute inflammatory biomarkers, Total WBCs count, NLR, IL6 level, q- SOFA score and chest CT severity score with that of mortality in acute pneumonia. This serum acute inflammatory biomarkers are significantly raised, as in comparison with the Total WBCs count, NLR, IL6 level, q- SOFA score and positive CT chest findings in acute pneumonia. So the early elevated serum acute inflammatory biomarkers are cost effective, feasible for all strata  of patients and are noninferior to, NLR, Total WBCs count, IL6, q-SOFA score and CT scan of chest in predicting mortality of acute pneumonia.</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <title>References</title>
      <ref id="R207451929041119">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Wunderink</surname>
              <given-names>R G</given-names>
            </name>
            <name>
              <surname>Waterer</surname>
              <given-names>G W</given-names>
            </name>
            <collab/>
          </person-group>
          <article-title>Clinical practice. Community-acquired pneumonia</article-title>
          <source>New England Journal of Medicine</source>
          <year>2014</year>
          <volume>370</volume>
          <issue>6</issue>
          <fpage>543</fpage>
          <lpage>551</lpage>
          <publisher-name>Springer International Publishing</publisher-name>
          <uri>https://doi.org/10.1056/nejmcp1214869</uri>
        </element-citation>
      </ref>
      <ref id="R207451929041099">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Chalmers</surname>
              <given-names>J D</given-names>
            </name>
            <name>
              <surname>Singanayagam</surname>
              <given-names>A</given-names>
            </name>
            <name>
              <surname>Murray</surname>
              <given-names>M P</given-names>
            </name>
            <name>
              <surname>Scally</surname>
              <given-names>C</given-names>
            </name>
            <name>
              <surname>Fawzi</surname>
              <given-names>A</given-names>
            </name>
            <name>
              <surname>Hill</surname>
              <given-names>A T</given-names>
            </name>
            <collab/>
          </person-group>
          <article-title>Risk factors for complicated parapneumonic effusion and empyema on presentation to hospital with community-acquired pneumonia</article-title>
          <source>Thorax</source>
          <year>2009</year>
          <volume>64</volume>
          <issue>7</issue>
          <fpage>592</fpage>
          <lpage>597</lpage>
          <issn>0040-6376</issn>
          <publisher-name>BMJ</publisher-name>
          <uri>https://doi.org/10.1136/thx.2008.105080</uri>
        </element-citation>
      </ref>
      <ref id="R207451929041113">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Hook</surname>
              <given-names>E W</given-names>
            </name>
            <name>
              <surname>Horton</surname>
              <given-names>C A</given-names>
            </name>
            <name>
              <surname>Schaberg</surname>
              <given-names>D R</given-names>
            </name>
            <collab/>
          </person-group>
          <article-title>Failure of intensive care unit support to influence mortality from pneumococcal bacteremia</article-title>
          <source>JAMA</source>
          <year>1983</year>
          <volume>249</volume>
          <issue>8</issue>
          <fpage>1055</fpage>
          <lpage>1057</lpage>
          <uri>https://pubmed.ncbi.nlm.nih.gov/6823062/</uri>
        </element-citation>
      </ref>
      <ref id="R207451929041122">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Zhou</surname>
              <given-names>Peng</given-names>
            </name>
            <name>
              <surname>Yang</surname>
              <given-names>Xing-Lou L</given-names>
            </name>
            <name>
              <surname>Wang</surname>
              <given-names>Xian-Guang G</given-names>
            </name>
            <name>
              <surname>Hu</surname>
              <given-names>Ben</given-names>
            </name>
            <name>
              <surname>Zhang</surname>
              <given-names>Lei</given-names>
            </name>
            <name>
              <surname>Zhang</surname>
              <given-names>Wei</given-names>
            </name>
            <name>
              <surname>Si</surname>
              <given-names>Hao-Rui R</given-names>
            </name>
            <name>
              <surname>Zhu</surname>
              <given-names>Yan</given-names>
            </name>
            <name>
              <surname>Li</surname>
              <given-names>Bei</given-names>
            </name>
            <name>
              <surname>Huang</surname>
              <given-names>Chao-Lin L</given-names>
            </name>
            <name>
              <surname>Chen</surname>
              <given-names>Hui-Dong D</given-names>
            </name>
            <name>
              <surname>Chen</surname>
              <given-names>Jing D</given-names>
            </name>
            <name>
              <surname>Luo</surname>
              <given-names>Yun</given-names>
            </name>
            <name>
              <surname>Guo</surname>
              <given-names>Hua</given-names>
            </name>
            <name>
              <surname>Jiang</surname>
              <given-names>Ren-Di</given-names>
            </name>
            <name>
              <surname>Liu</surname>
              <given-names>Mei-Qin</given-names>
            </name>
            <name>
              <surname>Chen</surname>
              <given-names>Ying D</given-names>
            </name>
            <name>
              <surname>Shen</surname>
              <given-names>Xu-Rui</given-names>
            </name>
            <name>
              <surname>Wang</surname>
              <given-names>Xi G</given-names>
            </name>
            <name>
              <surname>Zheng</surname>
              <given-names>Xiao-Shuang</given-names>
            </name>
            <name>
              <surname>Zhao</surname>
              <given-names>Kai</given-names>
            </name>
            <name>
              <surname>Chen</surname>
              <given-names>Quan-Jiao D</given-names>
            </name>
            <name>
              <surname>Deng</surname>
              <given-names>Fei</given-names>
            </name>
            <name>
              <surname>Liu</surname>
              <given-names>Lin-Lin</given-names>
            </name>
            <name>
              <surname>Yan</surname>
              <given-names>Bing</given-names>
            </name>
            <name>
              <surname>Zhan</surname>
              <given-names>Fa-Xian</given-names>
            </name>
            <name>
              <surname>Wang</surname>
              <given-names>Yan-Yi G</given-names>
            </name>
            <name>
              <surname>Xiao</surname>
              <given-names>Geng-Fu</given-names>
            </name>
            <name>
              <surname>Shi</surname>
              <given-names>Zheng-Li</given-names>
            </name>
            <collab/>
          </person-group>
          <article-title>A pneumonia outbreak associated with a new coronavirus of probable bat origin</article-title>
          <source>Nature</source>
          <year>2020</year>
          <volume>579</volume>
          <issue>7798</issue>
          <fpage>270</fpage>
          <lpage>273</lpage>
          <issn>0028-0836</issn>
          <publisher-name>Springer Science and Business Media LLC</publisher-name>
          <uri>https://doi.org/10.1038/s41586-020-2012-7</uri>
        </element-citation>
      </ref>
      <ref id="R207451929041120">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Menendez</surname>
              <given-names>R</given-names>
            </name>
            <name>
              <surname>Martinez</surname>
              <given-names>R</given-names>
            </name>
            <name>
              <surname>Reyes</surname>
              <given-names>S</given-names>
            </name>
            <name>
              <surname>Mensa</surname>
              <given-names>J</given-names>
            </name>
            <name>
              <surname>Filella</surname>
              <given-names>X</given-names>
            </name>
            <name>
              <surname>Marcos</surname>
              <given-names>M A</given-names>
            </name>
            <name>
              <surname>Martinez</surname>
              <given-names>A</given-names>
            </name>
            <name>
              <surname>Esquinas</surname>
              <given-names>C</given-names>
            </name>
            <name>
              <surname>Ramirez</surname>
              <given-names>P</given-names>
            </name>
            <name>
              <surname>Torres</surname>
              <given-names>A</given-names>
            </name>
            <collab/>
          </person-group>
          <article-title>Biomarkers improve mortality prediction by prognostic scales in community-acquired pneumonia</article-title>
          <source>Thorax</source>
          <year>2009</year>
          <volume>64</volume>
          <issue>7</issue>
          <fpage>587</fpage>
          <lpage>591</lpage>
          <issn>0040-6376</issn>
          <publisher-name>BMJ</publisher-name>
          <uri>https://doi.org/10.1136/thx.2008.105312</uri>
        </element-citation>
      </ref>
      <ref id="R207451929041109">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Chalmers</surname>
              <given-names>James D</given-names>
            </name>
            <name>
              <surname>Singanayagam</surname>
              <given-names>Aran</given-names>
            </name>
            <name>
              <surname>Hill</surname>
              <given-names>Adam T</given-names>
            </name>
            <collab/>
          </person-group>
          <article-title>C-Reactive Protein Is an Independent Predictor of Severity in Community-acquired Pneumonia</article-title>
          <source>The American Journal of Medicine</source>
          <year>2008</year>
          <volume>121</volume>
          <issue>3</issue>
          <fpage>219</fpage>
          <lpage>225</lpage>
          <issn>0002-9343</issn>
          <publisher-name>Elsevier BV</publisher-name>
          <uri>https://doi.org/10.1016/j.amjmed.2007.10.033</uri>
        </element-citation>
      </ref>
      <ref id="R207451929041115">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Renato</surname>
              <given-names>Seligman</given-names>
            </name>
            <name>
              <surname>Francisco</surname>
              <given-names>Lima Ramos Luis</given-names>
            </name>
            <name>
              <surname>Vivian</surname>
              <given-names>Oliveira</given-names>
            </name>
            <name>
              <surname>Carina</surname>
              <given-names>Sanvicente</given-names>
            </name>
            <name>
              <surname>Pacheco</surname>
              <given-names>F</given-names>
            </name>
            <name>
              <surname>Elyara</surname>
              <given-names>Rosa Dalla</given-names>
            </name>
            <name>
              <surname>Karoline</surname>
              <given-names/>
            </name>
            <collab/>
          </person-group>
          <article-title>Biomarkers in community-acquired pneumonia: A state-of-the-art review</article-title>
          <source>Clinics</source>
          <year>2012</year>
          <volume>67</volume>
          <issue>11</issue>
          <fpage>1321</fpage>
          <lpage>1325</lpage>
          <uri>https://doi.org/10.1016/j.amjmed.2007.10.033</uri>
        </element-citation>
      </ref>
      <ref id="R207451929041118">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Quist</surname>
              <given-names>Joseph</given-names>
            </name>
            <name>
              <surname>Hill</surname>
              <given-names>A Ross</given-names>
            </name>
            <collab/>
          </person-group>
          <article-title>Serum Lactate Dehydrogenase (LDH) in Pneumocystis carinii Pneumonia, Tuberculosis, and Bacterial Pneumonia</article-title>
          <source>Chest</source>
          <year>1995</year>
          <volume>108</volume>
          <issue>2</issue>
          <fpage>415</fpage>
          <lpage>418</lpage>
          <issn>0012-3692</issn>
          <publisher-name>Elsevier BV</publisher-name>
          <uri>https://doi.org/10.1378/chest.108.2.415</uri>
        </element-citation>
      </ref>
      <ref id="R207451929041121">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Kim</surname>
              <given-names>Ji Hye</given-names>
            </name>
            <name>
              <surname>Kim</surname>
              <given-names>Dae Sung</given-names>
            </name>
            <name>
              <surname>Jeong</surname>
              <given-names>In-Beom</given-names>
            </name>
            <name>
              <surname>Son</surname>
              <given-names>Ji-Woong</given-names>
            </name>
            <name>
              <surname>Na</surname>
              <given-names>Mun-Jun</given-names>
            </name>
            <name>
              <surname>Kwon</surname>
              <given-names>Sun-Joong</given-names>
            </name>
            <collab/>
          </person-group>
          <article-title>Serum ferritin as a prognostic marker of pneumonia: a prospective, single center study</article-title>
          <source>European Respiratory Journal </source>
          <year>2018</year>
          <volume>52</volume>
          <issue>PA2608</issue>
          <uri>https://doi.org/10.1183/13993003.congress-2018.PA2608</uri>
        </element-citation>
      </ref>
      <ref id="R207451929044147">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Pourhoseingholi</surname>
              <given-names>Mohamad Amin</given-names>
            </name>
            <name>
              <surname>Vahedi</surname>
              <given-names>Mohsen</given-names>
            </name>
            <name>
              <surname>Rahimzadeh</surname>
              <given-names>Mitra</given-names>
            </name>
            <collab/>
          </person-group>
          <article-title>Sample size calculation in medical studies</article-title>
          <source>Gastroenterol Hepatol Bed Bench</source>
          <year>2013</year>
          <volume>6</volume>
          <issue>1</issue>
          <fpage>14</fpage>
          <lpage>17</lpage>
          <publisher-name>Winter</publisher-name>
          <uri>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4017493/</uri>
        </element-citation>
      </ref>
      <ref id="R207451929041104">
        <element-citation publication-type="misc">
          <person-group person-group-type="author">
            <collab/>
          </person-group>
          <article-title>National Institute for Health and Care Excellence (NICE). Pneumonia: Diagnosis and Management of Community- and Hospital-Acquired Pneumonia in Adults</article-title>
          <source>NICE Clinical Guidelines</source>
          <year>2014</year>
          <volume>191</volume>
        </element-citation>
      </ref>
      <ref id="R207451929041106">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Richardson</surname>
              <given-names>Safiya</given-names>
            </name>
            <name>
              <surname>Hirsch</surname>
              <given-names>Jamie S</given-names>
            </name>
            <name>
              <surname>Narasimhan</surname>
              <given-names>Mangala</given-names>
            </name>
            <name>
              <surname>Crawford</surname>
              <given-names>James M</given-names>
            </name>
            <name>
              <surname>Mcginn</surname>
              <given-names>Thomas</given-names>
            </name>
            <name>
              <surname>Davidson</surname>
              <given-names>Karina W</given-names>
            </name>
            <name>
              <surname>Barnaby</surname>
              <given-names>Douglas P</given-names>
            </name>
            <name>
              <surname>Becker</surname>
              <given-names>Lance B</given-names>
            </name>
            <name>
              <surname>Chelico</surname>
              <given-names>John D</given-names>
            </name>
            <name>
              <surname>Cohen</surname>
              <given-names>Stuart L</given-names>
            </name>
            <name>
              <surname>Cookingham</surname>
              <given-names>Jennifer</given-names>
            </name>
            <name>
              <surname>Coppa</surname>
              <given-names>Kevin</given-names>
            </name>
            <name>
              <surname>Diefenbach</surname>
              <given-names>Michael A</given-names>
            </name>
            <name>
              <surname>Dominello</surname>
              <given-names>Andrew J</given-names>
            </name>
            <name>
              <surname>Duer-Hefele</surname>
              <given-names>Joan</given-names>
            </name>
            <name>
              <surname>Falzon</surname>
              <given-names>Louise</given-names>
            </name>
            <name>
              <surname>Gitlin</surname>
              <given-names>Jordan</given-names>
            </name>
            <name>
              <surname>Hajizadeh</surname>
              <given-names>Negin</given-names>
            </name>
            <name>
              <surname>Harvin</surname>
              <given-names>Tiffany G</given-names>
            </name>
            <name>
              <surname>Hirschwerk</surname>
              <given-names>David A</given-names>
            </name>
            <name>
              <surname>Kim</surname>
              <given-names>Eun Ji</given-names>
            </name>
            <name>
              <surname>Kozel</surname>
              <given-names>Zachary M</given-names>
            </name>
            <name>
              <surname>Marrast</surname>
              <given-names>Lyndonna M</given-names>
            </name>
            <name>
              <surname>Mogavero</surname>
              <given-names>Jazmin N</given-names>
            </name>
            <name>
              <surname>Osorio</surname>
              <given-names>Gabrielle A</given-names>
            </name>
            <name>
              <surname>Qiu</surname>
              <given-names>Michael</given-names>
            </name>
            <name>
              <surname>Zanos</surname>
              <given-names>Theodoros P</given-names>
            </name>
            <collab/>
          </person-group>
          <article-title>Presenting Characteristics, Comorbidities, and Outcomes Among 5700 Patients Hospitalized With COVID-19 in the New York City Area</article-title>
          <source>JAMA</source>
          <year>2020</year>
          <volume>323</volume>
          <issue>20</issue>
          <fpage>2052</fpage>
          <lpage>2059</lpage>
          <issn>0098-7484</issn>
          <publisher-name>American Medical Association (AMA)</publisher-name>
          <uri>https://doi.org/10.1001/jama.2020.6775</uri>
        </element-citation>
      </ref>
      <ref id="R207451929041117">
        <element-citation publication-type="book">
          <person-group person-group-type="author">
            <name>
              <surname>Lionel</surname>
              <given-names>A Mandell</given-names>
            </name>
            <name>
              <surname>Michael</surname>
              <given-names>Niederma S.</given-names>
            </name>
            <collab/>
          </person-group>
          <person-group person-group-type="editor"/>
          <source>Pneumonia.Harrison’s Principles Of Internal        Medicine</source>
          <volume>21</volume>
          <year>2022</year>
        </element-citation>
      </ref>
      <ref id="R207451929041111">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname/>
              <given-names>Min Woo Kim</given-names>
            </name>
            <name>
              <surname>Lim</surname>
              <given-names>Jee Yong</given-names>
            </name>
            <name>
              <surname>Oh</surname>
              <given-names> Sang Hoon</given-names>
            </name>
            <collab/>
          </person-group>
          <article-title>Mortality prediction using serum biomarkers and various clinical risk scales in community-acquired pneumonia</article-title>
          <source>Scandinavian Journal of Clinical and Laboratory Investigation</source>
          <year>2017</year>
          <volume>77</volume>
          <issue>7</issue>
          <fpage>486</fpage>
          <lpage>492</lpage>
          <uri>https://doi.org/10.1080/00365513.2017.1344298</uri>
        </element-citation>
      </ref>
      <ref id="R207451929041116">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Summah</surname>
              <given-names>Hanssa</given-names>
            </name>
            <name>
              <surname>Qu</surname>
              <given-names>Jie-Ming</given-names>
            </name>
            <collab/>
          </person-group>
          <article-title>Biomarkers: A Definite Plus in Pneumonia</article-title>
          <source>Mediators of Inflammation</source>
          <year>2009</year>
          <volume>2009</volume>
          <fpage>1</fpage>
          <lpage>9</lpage>
          <issn>0962-9351</issn>
          <publisher-name>Hindawi Limited</publisher-name>
          <uri>https://doi.org/10.1155%2F2009%2F675753</uri>
        </element-citation>
      </ref>
      <ref id="R207451929041110">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Tseng</surname>
              <given-names>Chia-Cheng</given-names>
            </name>
            <name>
              <surname>Fang</surname>
              <given-names>Wen-Feng</given-names>
            </name>
            <name>
              <surname/>
              <given-names>Sum-Yee Leung</given-names>
            </name>
            <name>
              <surname>Chen</surname>
              <given-names>Hung-Chen</given-names>
            </name>
            <name>
              <surname>Chang</surname>
              <given-names>Ya-Chun</given-names>
            </name>
            <name>
              <surname>Wang</surname>
              <given-names> Chin-Chou</given-names>
            </name>
            <name>
              <surname>Chang</surname>
              <given-names>Huang-Chih</given-names>
            </name>
            <collab/>
          </person-group>
          <article-title>Impact of Serum Biomarkers and Clinical Factors on Intensive Care Unit Mortality and 6-Month Outcome in Relatively Healthy Patients with Severe Pneumonia and Acute Respiratory Distress Syndrome</article-title>
          <source>Dis Markers</source>
          <year>2014</year>
          <volume>2014</volume>
          <publisher-name>Hindawi Publishing Corporation Disease Markers</publisher-name>
          <uri>https://doi.org/10.1155/2014/804654</uri>
        </element-citation>
      </ref>
      <ref id="R207451929041114">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Ramírez</surname>
              <given-names>Paula</given-names>
            </name>
            <name>
              <surname>Ferrer</surname>
              <given-names>Miquel</given-names>
            </name>
            <name>
              <surname>Martí</surname>
              <given-names>Verónica</given-names>
            </name>
            <name>
              <surname>Reyes</surname>
              <given-names>Soledad</given-names>
            </name>
            <name>
              <surname>Martínez</surname>
              <given-names>Raquel</given-names>
            </name>
            <name>
              <surname>Menéndez</surname>
              <given-names>Rosario Et</given-names>
            </name>
            <name>
              <surname>Ewig</surname>
              <given-names>Santiago</given-names>
            </name>
            <name>
              <surname>Torres</surname>
              <given-names>Antoni</given-names>
            </name>
            <collab/>
          </person-group>
          <article-title>Inflammatory biomarkers and prediction for intensive care unit admission in severe community-acquired pneumonia*</article-title>
          <source>Critical Care Medicine</source>
          <year>2011</year>
          <volume>39</volume>
          <issue>10</issue>
          <fpage>2211</fpage>
          <lpage>2217</lpage>
          <issn>0090-3493</issn>
          <publisher-name>Ovid Technologies (Wolters Kluwer Health)</publisher-name>
          <uri>https://doi.org/10.1097/CCM.0b013e3182257445</uri>
        </element-citation>
      </ref>
      <ref id="R207451929041107">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Nouvenne</surname>
              <given-names>Antonio</given-names>
            </name>
            <name>
              <surname>Ticinesi</surname>
              <given-names>Andrea</given-names>
            </name>
            <name>
              <surname>Folesani</surname>
              <given-names>Giuseppina</given-names>
            </name>
            <name>
              <surname>Cerundolo</surname>
              <given-names>Nicoletta</given-names>
            </name>
            <name>
              <surname>Prati</surname>
              <given-names>Beatrice</given-names>
            </name>
            <name>
              <surname>Morelli</surname>
              <given-names>Ilaria</given-names>
            </name>
            <name>
              <surname>Guida</surname>
              <given-names>Loredana</given-names>
            </name>
            <name>
              <surname>Lauretani</surname>
              <given-names>Fulvio</given-names>
            </name>
            <name>
              <surname>Maggio</surname>
              <given-names>Marcello</given-names>
            </name>
            <name>
              <surname>Aloe</surname>
              <given-names>Rosalia</given-names>
            </name>
            <name>
              <surname>Lippi</surname>
              <given-names>Giuseppe</given-names>
            </name>
            <name>
              <surname>Meschi</surname>
              <given-names>Tiziana</given-names>
            </name>
            <collab/>
          </person-group>
          <article-title>The association of serum procalcitonin and high-sensitivity C-reactive protein with pneumonia in elderly multimorbid patients with respiratory symptoms: retrospective cohort study</article-title>
          <source>BMC Geriatrics</source>
          <year>2016</year>
          <volume>16</volume>
          <fpage>16</fpage>
          <publisher-name>Springer Science and Business Media LLC</publisher-name>
          <uri>https://doi.org/10.1186/s12877-016-0192-7</uri>
        </element-citation>
      </ref>
      <ref id="R207451929041103">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Cheng</surname>
              <given-names>Chao-Wen W</given-names>
            </name>
            <name>
              <surname>Chien</surname>
              <given-names>Ming-Hsien H</given-names>
            </name>
            <name>
              <surname>Su</surname>
              <given-names>Shih-Chi C</given-names>
            </name>
            <name>
              <surname>Yang</surname>
              <given-names>Shun-Fa F</given-names>
            </name>
            <collab/>
          </person-group>
          <article-title>New markers in pneumonia</article-title>
          <source>Clinica Chimica Acta</source>
          <year>2013</year>
          <volume>419</volume>
          <fpage>19</fpage>
          <lpage>25</lpage>
          <issn>0009-8981</issn>
          <publisher-name>Elsevier BV</publisher-name>
          <uri>https://doi.org/10.1016%2Fj.cca.2013.01.011</uri>
        </element-citation>
      </ref>
      <ref id="R207451929044343">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Agnello</surname>
              <given-names>Luisa</given-names>
            </name>
            <name>
              <surname/>
              <given-names>Chiara Bellia</given-names>
            </name>
            <name>
              <surname>Gangi</surname>
              <given-names>Maria Di</given-names>
            </name>
            <name>
              <surname>Sasso</surname>
              <given-names>B Lo</given-names>
            </name>
            <name>
              <surname>Calvaruso</surname>
              <given-names>L</given-names>
            </name>
            <name>
              <surname>Bivona</surname>
              <given-names>Giulia</given-names>
            </name>
            <name>
              <surname>Scazzone</surname>
              <given-names> Concetta</given-names>
            </name>
            <collab/>
          </person-group>
          <article-title>Utility of serum procalcitonin and C-reactive protein in severity assessment of community-acquired pneumonia in children</article-title>
          <source>Clin Biochem .</source>
          <year>2016</year>
          <volume>49</volume>
          <issue>1-2</issue>
          <fpage>47</fpage>
          <lpage>50</lpage>
          <uri>https://doi.org/10.1016/j.clinbiochem.2015.09.008</uri>
        </element-citation>
      </ref>
      <ref id="R207451929041112">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Zhydkov</surname>
              <given-names>Andriy</given-names>
            </name>
            <name>
              <surname>Christ-Crain</surname>
              <given-names>Mirjam</given-names>
            </name>
            <name>
              <surname>Thomann</surname>
              <given-names>Robert</given-names>
            </name>
            <name>
              <surname>Hoess</surname>
              <given-names>Claus</given-names>
            </name>
            <name>
              <surname>Henzen</surname>
              <given-names>Christoph</given-names>
            </name>
            <name>
              <surname>Zimmerli</surname>
              <given-names>Werner</given-names>
            </name>
            <name>
              <surname>Mueller</surname>
              <given-names>Beat</given-names>
            </name>
            <name>
              <surname>Schuetz</surname>
              <given-names>Philipp</given-names>
            </name>
            <name>
              <surname>Group</surname>
              <given-names> For The Prohosp Study</given-names>
            </name>
            <collab/>
          </person-group>
          <article-title>Utility of procalcitonin, C-reactive protein and white blood cells alone and in combination for the prediction of clinical outcomes in community-acquired pneumonia</article-title>
          <source>Clinical Chemistry and Laboratory Medicine (CCLM)</source>
          <year>2015</year>
          <volume>53</volume>
          <issue>4</issue>
          <fpage>559</fpage>
          <lpage>566</lpage>
          <issn>1434-6621</issn>
          <publisher-name>Walter de Gruyter GmbH</publisher-name>
          <uri>https://doi.org/10.1515/cclm-2014-0456</uri>
        </element-citation>
      </ref>
      <ref id="R207451929041098">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Khan</surname>
              <given-names>Faheem</given-names>
            </name>
            <name>
              <surname>Owens</surname>
              <given-names>Mark B</given-names>
            </name>
            <name>
              <surname>Restrepo</surname>
              <given-names>Marcos</given-names>
            </name>
            <name>
              <surname>Povoa</surname>
              <given-names>Pedro</given-names>
            </name>
            <name>
              <surname>Martin-Loeches</surname>
              <given-names>Ignacio</given-names>
            </name>
            <collab/>
          </person-group>
          <article-title>Tools for outcome prediction in patients with community acquired pneumonia</article-title>
          <source>Expert Review of Clinical Pharmacology</source>
          <year>2017</year>
          <volume>10</volume>
          <issue>2</issue>
          <fpage>201</fpage>
          <lpage>211</lpage>
          <issn>1751-2433</issn>
          <publisher-name>Informa UK Limited</publisher-name>
          <uri>https://doi.org/10.1080/17512433.2017.1268051</uri>
        </element-citation>
      </ref>
      <ref id="R207451929041100">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Guo</surname>
              <given-names>Shuren</given-names>
            </name>
            <name>
              <surname>Mao</surname>
              <given-names>Xiaohuan</given-names>
            </name>
            <name>
              <surname>Liang</surname>
              <given-names>Ming</given-names>
            </name>
            <collab/>
          </person-group>
          <article-title>The moderate predictive value of serial serum CRP and PCT levels for the prognosis of hospitalized community-acquired pneumonia</article-title>
          <source>Respiratory Research</source>
          <year>2018</year>
          <volume>19</volume>
          <issue>1</issue>
          <fpage>193</fpage>
          <publisher-name>Springer Science and Business Media LLC</publisher-name>
          <uri>https://doi.org/10.1186/s12931-018-0877-x</uri>
        </element-citation>
      </ref>
      <ref id="R207451929044414">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Yentis</surname>
              <given-names>S M</given-names>
            </name>
            <name>
              <surname>Soni</surname>
              <given-names>N</given-names>
            </name>
            <name>
              <surname>Sheldon</surname>
              <given-names>J</given-names>
            </name>
            <collab/>
          </person-group>
          <article-title>C-reactive protein as an indicator of resolution of sepsis in the intensive care unit</article-title>
          <source>Intensive Care Medicine</source>
          <year>1995</year>
          <volume>21</volume>
          <issue>7</issue>
          <fpage>602</fpage>
          <lpage>605</lpage>
          <issn>0342-4642</issn>
          <publisher-name>Springer Science and Business Media LLC</publisher-name>
          <uri>https://doi.org/10.1007/bf01700168</uri>
        </element-citation>
      </ref>
      <ref id="R207451929041101">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname/>
              <given-names>Chih-Min Tsai</given-names>
            </name>
            <name>
              <surname>Tang</surname>
              <given-names>Kuo-Shu</given-names>
            </name>
            <name>
              <surname>Cheng</surname>
              <given-names>Ming-Chou</given-names>
            </name>
            <name>
              <surname/>
              <given-names> Ta-Yu Liu</given-names>
            </name>
            <name>
              <surname>Huang</surname>
              <given-names>Ying-Hsien</given-names>
            </name>
            <name>
              <surname>Chen</surname>
              <given-names>Chih-Cheng</given-names>
            </name>
            <name>
              <surname>Yu</surname>
              <given-names> Hong-Ren</given-names>
            </name>
            <collab/>
          </person-group>
          <article-title>Use of saliva sample to detect C-reactive protein in children with pneumonia</article-title>
          <source>Paediatric Pulmonology</source>
          <year>2020</year>
          <volume>55</volume>
          <issue>9</issue>
          <fpage>2457</fpage>
          <lpage>2462</lpage>
          <uri>https://doi.org/10.1002/ppul.24947</uri>
        </element-citation>
      </ref>
      <ref id="R207451929041108">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Jinrong</surname>
              <given-names>Liu</given-names>
            </name>
            <name>
              <surname>Shen</surname>
              <given-names>Rongfang</given-names>
            </name>
            <name>
              <surname>Feng</surname>
              <given-names>Lin</given-names>
            </name>
            <name>
              <surname>Cheng</surname>
              <given-names> Shujun</given-names>
            </name>
            <name>
              <surname>Chen</surname>
              <given-names>Jun</given-names>
            </name>
            <name>
              <surname>Xiao</surname>
              <given-names>Ting</given-names>
            </name>
            <name>
              <surname>Zhao</surname>
              <given-names>Shunying</given-names>
            </name>
            <collab/>
          </person-group>
          <article-title>Proteomics study of Mycoplasma pneumoniae pneumonia reveals the Fc fragment of the IgG-binding protein as a serum biomarker and implicates potential therapeutic targets</article-title>
          <source>Front. Med</source>
          <year>2022</year>
          <volume>16</volume>
          <issue>3</issue>
          <fpage>378</fpage>
          <lpage>388</lpage>
          <uri>https://doi.org/10.1007/s11684-021-0840-y</uri>
        </element-citation>
      </ref>
      <ref id="R207451929041105">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Fernandez</surname>
              <given-names>Juan F</given-names>
            </name>
            <name>
              <surname>Sibila</surname>
              <given-names>Oriol</given-names>
            </name>
            <name>
              <surname>Restrepo</surname>
              <given-names>Marcos I</given-names>
            </name>
            <collab/>
          </person-group>
          <article-title>Predicting ICU admission in community-acquired pneumonia: clinical scores and biomarkers</article-title>
          <source>Expert Review of Clinical Pharmacology</source>
          <year>2012</year>
          <volume>5</volume>
          <issue>4</issue>
          <fpage>445</fpage>
          <lpage>458</lpage>
          <issn>1751-2433</issn>
          <publisher-name>Informa UK Limited</publisher-name>
          <uri>https://doi.org/10.1586/ecp.12.28</uri>
        </element-citation>
      </ref>
      <ref id="R207451929041102">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Diederichsen</surname>
              <given-names>H Z</given-names>
            </name>
            <name>
              <surname>Skamling</surname>
              <given-names>M</given-names>
            </name>
            <name>
              <surname>Diederichsen</surname>
              <given-names>A</given-names>
            </name>
            <name>
              <surname>Grinsted</surname>
              <given-names>P</given-names>
            </name>
            <name>
              <surname>Antonsen</surname>
              <given-names>S</given-names>
            </name>
            <name>
              <surname>Petersen</surname>
              <given-names>P H</given-names>
            </name>
            <collab/>
          </person-group>
          <article-title>Randomised controlled trial of CRP rapid test as a guide to treatment of respiratory infections in general practice</article-title>
          <source>Scand J Prim Health Care</source>
          <year>2000</year>
          <volume>18</volume>
          <fpage>39</fpage>
          <lpage>43</lpage>
        </element-citation>
      </ref>
    </ref-list>
  </back>
</article>
