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1- Department of Pathology, MES Medical College, Perinthalmanna, Malappuram District, Kerala state, India , aneeshaea@gmail.com
2- Department of Pathology, MES Medical College, Perinthalmanna, Malappuram District, Kerala state, India
3- Department of Pathology, MES Medical College, Perinthalmanna, Malappuram District, , Kerala state, India
Abstract:   (14 Views)
Background and Objectives: Covid-19 is a global pandemic, caused by Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV-2). So far different clinical and hematological findings that can predict disease severity have been identified. This study explores the role of Neutrophil-to-lymphocyte ratio (NLR), Platelet-to-lymphocyte ratio (PLR) and Neutrophil-to-platelet ratio (NPR) in predicting the severity of Covid-19 infection.
Methods: After obtaining Ethics committee clearance, patients with laboratory confirmed Covid-19 infection admitted during their first two weeks of illness were included in this prospective study. NLR, PLR and NPR were derived from the CBC reports. These ratios were compared in each clinical category groups to assess the severity.
Results: The total number of cases was 160. The mean age at diagnosis was 56 years. Proportion of males were slightly higher (54.4%) than that of females (45.6%). The proportion of Category C patients (66.9%) were more than Category B (25%) and Category A (8.1%) patients. It was found that the NLR, PLR and NPR ratios has statistically significant association with severe Covid-19 infection and hence these can be used to differentiate between Category C from Category A or B. NLR is the better parameter in predicting the severity of Covid-19 disease than PLR and NPR.
Conclusions: NLR, PLR and NPR ratios can be used as predictive markers of disease severity in Covid-19 infection. Among these ratios, NLR has the highest predictive value for disease deterioration.

 
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Research Article: Original Paper | Subject: Laboratory hematology
Received: 2023/05/9 | Accepted: 2023/10/9

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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.