Diagnostic Role of Platelet to Lymphocyte Ratio and Platelet Parameters in COVID-19 Disease
Infection, Epidemiology and Microbiology
; 9(1):71-78, 2023.
Article
in English
| EMBASE | ID: covidwho-20235785
ABSTRACT
Backgrounds This study aimed to analyze the applicability of platelet parameters in assessing the severity of COVID-19 disease. Material(s) and Method(s) Patients with RT-PCR confirmed COVID-19 in the Pathology department of a tertiary care hospital in south India from June to December 2020 were included in this study. Clinical details and laboratory parameters of these patients were obtained. The difference between the studied variables in two groups was assessed using independent t-test. The optimum cut-off value of platelet to lymphocyte ratio (PLR) to differentiate between the tested groups was estimated using ROC (receiver operator curve) analysis. Finding(s) 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. Conclusion(s) 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.Copyright © 2023, TMU Press.
Biomarker; covid-19; Intensive care unit; absolute lymphocyte count; adult; article; controlled study; coronavirus disease 2019; diagnostic value; erythrocyte sedimentation rate; female; hematological parameters; human; human cell; India; major clinical study; male; platelet distribution width; platelet lymphocyte ratio; platelet parameters; receiver operating characteristic; tertiary care center; thrombocytopenia; biological marker; D dimer
Full text:
Available
Collection:
Databases of international organizations
Database:
EMBASE
Type of study:
Experimental Studies
/
Prognostic study
/
Randomized controlled trials
Language:
English
Journal:
Infection, Epidemiology and Microbiology
Year:
2023
Document Type:
Article
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