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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">3795</article-id><article-id pub-id-type="doi"/><article-id pub-id-type="doi-url"> http://dx.doi.org/10.31782/IJCRR.2021.SP209</article-id><article-categories><subj-group subj-group-type="heading"><subject>Healthcare</subject></subj-group></article-categories><title-group><article-title>Red Cell Distribution Width in Hospitalized Covid Patients -__ampersandsignnbsp;A Study in a Tertiary Care Covid Centre in Eastern India&#13;
</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Senjuti</surname><given-names>Dasgupta</given-names></name></contrib><contrib contrib-type="author"><name><surname>Manish</surname><given-names>Osta</given-names></name></contrib><contrib contrib-type="author"><name><surname>Manas</surname><given-names>Talukdar</given-names></name></contrib></contrib-group><pub-date pub-type="ppub"><day>11</day><month>06</month><year>2021</year></pub-date><volume>Wa</volume><issue>OV</issue><fpage>63</fpage><lpage>66</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: The global pandemic caused by coronavirus disease 2019 (COVID-19) is associated with a high rate of hospitalisation and mortality in severe cases. This emphasizes the requirement of parameters that can predict the progression of the severity of the disease among COVID-19 infected patients. Red cells distribution width (RDW) is a cheap and easily available parameter included in Complete Haemogram and is associated with an increased risk of mortality with various diseases. Objective: The present study aimed to find out if there is any correlation between RDW and the severity of COVID-19 infection. Methods: The study was conducted on 111 admitted patients of COVID 19 diagnosed by RT-PCR, among those who were 18 years or older and not requiring treatment for anaemia. Eighty-seven of the patients were having moderate and 24 severe diseases. Analysis of the EDTA blood samples was done by Sysmex XT-4000i automated haematology analyser. RDW-CV and RDW-SD along with haemoglobin and haematocrit values were recorded. Statistical analyses were performed using GraphPad QuickCalcs. Results: Mean value for haemoglobin, haematocrit, RDW-SD and RDW-CV were 11.48 __ampersandsignplusmn; 2.22 g/dl, 35.18 __ampersandsignplusmn; 6.07 %, 47.26 __ampersandsignplusmn; 6.50 fl and 15.69 __ampersandsignplusmn; 2.12% respectively. Values for haemoglobin, RDW-CV and RDW-SD were statistically significant when compared between moderate and severe COVID-19 infected patients. Conclusion: Patients with raised RDW values are at a significantly higher risk of developing severe COVID-19 disease which can be fatal.&#13;
</p></abstract><kwd-group><kwd>RDW-CV</kwd><kwd> RDW-SD</kwd><kwd> Covid-19</kwd><kwd> Correlation</kwd><kwd> Prognostic significance</kwd><kwd> Pandemic</kwd></kwd-group></article-meta></front></article>
