Diagnostic Role of Platelet-Lymphocyte Ratio and Platelet Parameters in COVID-19 Disease | ||
| Infection Epidemiology and Microbiology | ||
| Article 8, Volume 9, Issue 1, 2023, Pages 71-78 PDF (530.58 K) | ||
| Document Type: Original Research | ||
| DOI: 10.52547/iem.9.1.71 | ||
| Authors | ||
| Nidhya Ganesan* 1; Eliz Thomas1; Subba Rao tadury Madhukar2; Karthikeyan S3; Lawanya G4 | ||
| 1Associate Professor, Department of Pathology, PSG Institute of Medical Sciences and Research, Coimbatore, India | ||
| 2Professor, Department of Pathology, PSG Institute of Medical Sciences and Research, Coimbatore, India | ||
| 3Associate Professor, Department of Community Medicine, PSG Institute of Medical Sciences and Research, Coimbatore, India | ||
| 4Assistant Professor, Department of Pathology, PSG Institute of Medical Sciences and Research, Coimbatore, India | ||
| Abstract | ||
| Backgrounds: This study aimed to analyze the applicability of platelet parameters in assessing the severity of COVID-19 disease. Materials & Methods: 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. Findings: 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: 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. | ||
| Keywords | ||
| Biomarker; Covid-19; Intensive care unit | ||
| References | ||
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