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<Article>
<Journal>
				<PublisherName>Tarbiat Modares University</PublisherName>
				<JournalTitle>Infection Epidemiology and Microbiology</JournalTitle>
				<Issn>2588-4107</Issn>
				<Volume>9</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2023</Year>
					<Month>03</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Diagnostic Role of Platelet-Lymphocyte Ratio and Platelet Parameters in COVID-19 Disease</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>71</FirstPage>
			<LastPage>78</LastPage>
			<ELocationID EIdType="pii">1915</ELocationID>
			
<ELocationID EIdType="doi">10.52547/iem.9.1.71</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Nidhya</FirstName>
					<LastName>Ganesan</LastName>
<Affiliation>Associate Professor, Department of Pathology, PSG Institute of Medical Sciences and Research, Coimbatore, India</Affiliation>

</Author>
<Author>
					<FirstName>Eliz</FirstName>
					<LastName>Thomas</LastName>
<Affiliation>Associate Professor, Department of Pathology, PSG Institute of Medical Sciences and Research, Coimbatore, India</Affiliation>

</Author>
<Author>
					<FirstName>Subba Rao</FirstName>
					<LastName>Tadury Madhukar</LastName>
<Affiliation>Professor, Department of Pathology, PSG Institute of Medical Sciences and Research, Coimbatore, India</Affiliation>

</Author>
<Author>
					<FirstName>Karthikeyan</FirstName>
					<LastName>S</LastName>
<Affiliation>Associate Professor, Department of Community Medicine, PSG Institute of Medical Sciences and Research, Coimbatore, India</Affiliation>

</Author>
<Author>
					<FirstName>Lawanya</FirstName>
					<LastName>G</LastName>
<Affiliation>Assistant Professor, Department of Pathology, PSG Institute of Medical Sciences and Research, Coimbatore, India</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
		<Abstract>&lt;span&gt;Backgrounds: &lt;/span&gt;&lt;span&gt;This study aimed to analyze the applicability of platelet parameters in assessing the severity of COVID-19 disease.&lt;/span&gt;&lt;br&gt;
&lt;span&gt;Materials &amp; Methods: &lt;/span&gt;&lt;span&gt;Patients with RT-PCR confirmed COVID-19 &lt;/span&gt;&lt;span&gt;in the pathology department of a tertiary care hospital in south India&lt;span&gt; from &lt;/span&gt;June to December 2020 &lt;span&gt;were included in this study. Clinical details and laboratory parameters of these patients were obtained. The difference between the studied variables&lt;/span&gt; &lt;span&gt;in two groups was assessed using independent t-test. The optimum cut-off value of &lt;/span&gt;&lt;span&gt;platelet to lymphocyte ratio (&lt;/span&gt;&lt;span&gt;PLR)&lt;/span&gt; &lt;span&gt;to differentiate between the tested groups was estimated using ROC&lt;/span&gt;&lt;span&gt; (&lt;/span&gt;&lt;span&gt;receiver operator curve) analysis.&lt;/span&gt;&lt;br&gt;
&lt;span&gt;Findings: &lt;/span&gt;&lt;span&gt;This study was conducted on 218 COVID-19 patients, of whom 17.9% showed thrombocytopenia at the time of admission. Among the hematological parameters, PLR, absolute lymphocyte count (ALC), platelet distribution width (PDW), D-dimer, and erythrocyte sedimentation rate (ESR) were significantly different between the ICU (intensive care unit) and non-ICU groups. Increased PLR values were associated with the disease severity.&lt;/span&gt;&lt;br&gt;
&lt;span&gt;Conclusion: &lt;/span&gt;&lt;span&gt;PLR could be used as an additional biomarker in assessing the severity of COVID-19 disease, and a cut-off value of 210.27 is optimal to differentiate severe COVID-19 disease from its mild and moderate forms with 79% specificity.&lt;/span&gt;</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Biomarker</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Covid-19</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Intensive care unit</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://iem.modares.ac.ir/article_1915_b432f34c5a997c8e7c806a895ecc5e25.pdf</ArchiveCopySource>
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