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<article xlink="http://www.w3.org/1999/xlink" dtd-version="1.0" article-type="healthcare" lang="en"><front><journal-meta><journal-id journal-id-type="publisher">IJCRR</journal-id><journal-id journal-id-type="nlm-ta">I Journ Cur Res Re</journal-id><journal-title-group><journal-title>International Journal of Current Research and Review</journal-title><abbrev-journal-title abbrev-type="pubmed">I Journ Cur Res Re</abbrev-journal-title></journal-title-group><issn pub-type="ppub">2231-2196</issn><issn pub-type="opub">0975-5241</issn><publisher><publisher-name>Radiance Research Academy</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">4300</article-id><article-id pub-id-type="doi"/><article-id pub-id-type="doi-url"> http://dx.doi.org/10.31782/IJCRR.2021.14115</article-id><article-categories><subj-group subj-group-type="heading"><subject>Healthcare</subject></subj-group></article-categories><title-group><article-title>C-reactive Protein and Neutrophil Lymphocyte Ratio Levels as Predictive Biomarkers for Severity of COVID-19 Infection&#13;
</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Bhardwaj</surname><given-names>Prashant</given-names></name></contrib><contrib contrib-type="author"><name><surname>Kumari</surname><given-names>Manjari</given-names></name></contrib><contrib contrib-type="author"><name><surname>Singhal</surname><given-names>Esha</given-names></name></contrib></contrib-group><pub-date pub-type="ppub"><day>3</day><month>01</month><year>2022</year></pub-date><volume>)</volume><issue/><fpage>81</fpage><lpage>86</lpage><permissions><copyright-statement>This article is copyright of Popeye Publishing, 2009</copyright-statement><copyright-year>2009</copyright-year><license license-type="open-access" href="http://creativecommons.org/licenses/by/4.0/"><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made.</license-p></license></permissions><abstract><p>Introduction: COVID- 19 is a highly contagious viral disease and spectrum of disease presentation range from asymptomatic to severe disease. Early diagnosis and assessment of disease severity is upmost priority to limit the morbidity, mortality and spread of disease. Aims: The aim of present study was to assess predictive values of C- reactive protein (CRP) levels and neutrophil-to-lymphocyte ratio (NLR), to disease severity to provide reference values for clinical treatment. Methodology: It was a prospective observational study in which 143 COVID-19 positive patients categorized into non-severe and severe groups. Clinical parameters, CRP values and NLR of all patients were recorded and analyzed. The receiver operating characteristic (ROC) curve was applied to determine the thresholds for both biomarkers. Result: Out of 143, total 85(59.44%) were males and 58(40.56%) female in our study. 114(79.72%) patients were non-severe and 29(20.27%) patients in severe group. Mean CRP and NLR of non severe group were 12.24(__ampersandsignplusmn;8.5) mg/l, 2.97(__ampersandsignplusmn;1.12) and in severe group 58.8(__ampersandsignplusmn;43.16) mg/l, 7.85(__ampersandsignplusmn;5.51) respectively. ROC curves analysis showed area under the curve (AUC) of 0.884 (95% CI 0.800-0.967; p value__ampersandsignlt;0.0001) for CRP and 0.817 (95% CI 0.707-0.927; p__ampersandsignlt;0.0001) for NLR. The cutoff value for CRP and NLR was 24.4mg/L and 3.6 respectively. At cutoff point, sensitivity and specificity for CRP were 82.76% and 88.6% and for NLR 75.86% and 75.44%. Conclusions: CRP and NLR are moderate accuracy diagnostic biomarkers to assess the severity of disease and of them CRP has better overall diagnostic performance than NLR.&#13;
</p></abstract><kwd-group><kwd>CRP</kwd><kwd> NLR</kwd><kwd> COVID-19 infection</kwd><kwd> Predictive biomarker</kwd></kwd-group></article-meta></front></article>
