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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">2671</article-id><article-id pub-id-type="doi"/><article-id pub-id-type="doi-url">http://dx.doi.org/10.31782/IJCRR.2020.12092</article-id><article-categories><subj-group subj-group-type="heading"><subject>Healthcare</subject></subj-group></article-categories><title-group><article-title>A Study of Platelet Parameters as a Novel Marker of Severity of Inflammation in Patients with Chronic Obstructive Pulmonary Disease&#13;
</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Mohapatra</surname><given-names>Dipti</given-names></name></contrib><contrib contrib-type="author"><name><surname>Sahana</surname><given-names>Ranita</given-names></name></contrib><contrib contrib-type="author"><name><surname>Behera</surname><given-names>Priyadarshini</given-names></name></contrib><contrib contrib-type="author"><name><surname>Behera</surname><given-names>Manasi</given-names></name></contrib></contrib-group><pub-date pub-type="ppub"><day>4</day><month>05</month><year>2020</year></pub-date><volume>)</volume><issue/><fpage>5</fpage><lpage>9</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: Chronic obstructive pulmonary disease (COPD) is one of the leading causes of death worldwide, characterised by both systemic as well as pulmonary inflammation. During an acute exacerbation, the inflammatory pathways are unregulated to a greater extent and may also precipitate a critical cardiovascular event. Platelet parameters like platelet count, Mean platelet volume (MPV) and platelet distribution width (PDW) are markers of platelet activation and also has been associated with various inflammatory conditions.&#13;
Aim of the Study: To find out the role of Platelet Parameters in COPD and to establish the relationship between the severity of COPD with the Platelet Parameters and to find out whether the platelet parameters can be a useful prognostic tool that will help the therapeutic target in COPD.&#13;
Material and Methods: Forty COPD patients who visited Pulmonary Medicine OPD during the study period, were included in the study. COPD patients were diagnosed by spirometry and classified according to the GOLD__ampersandsignrsquo;s criteria.The results of the Spirometry was compared with the different platelet parameters like platelet count, mean platelet volume and platelet distribution width to establish the probable role of platelets in the severity of COPD.&#13;
Result and Conclusion: It was concluded from the study that as the disease worsens, the number of platelets increase and this result is associated with spirometric parameters. The MPV and PDW also increased with the severity of disease in patients with COPD.So, the platelet parameters can be used as a simple, quick, tool to predict the severity in COPD patient and help in predicting the prognosis of the disease.&#13;
</p></abstract><kwd-group><kwd>COPD</kwd><kwd> Spirometry</kwd><kwd> Platelet parameters</kwd><kwd> MPV</kwd><kwd> PDW</kwd></kwd-group></article-meta></front></article>
