Neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio as markers for predicting the severity in covid-19 patients: A prospective observational study

Yudhyavir Singh, Abhishek Singh, Swetha Rudravaram, Kapil D. Soni, Richa Aggarwal, Nishant Patel, Naveet Wig, Anjan Trikha

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11 Scopus citations


Background: Coronavirus disease 2019 (COVID-19) pandemic has shown unpredictable course in individual patients. Few patients develop severe disease with progression after admission to a healthcare facility. Multiple parameters have been investigated to identify a marker to predict disease progression. Neutrophil-to-lymphocyte ratio (NLR) or platelet-to-lymphocyte (PLR) ratio has shown some promise. The current investigation explores the role of NLR and PLR to predict the disease progression. Methods: After obtaining ethics committee approval, 608 patients were screened for inclusion in the prospective observational study, and 201 patients were included in the final analysis. The NLR and PLR were derived from routinely obtained complete blood count analysis. The patients were followed to determine the development of severity of the disease during the course. The NLR and PLR were analyzed in both univariate and multivariable models to assess the association and prediction. Results: In nonsevere (NS) group, the mean age of patients was 50.9 ± 16.3 years, and 66 (61.2%) were male, while in severe group (S), the mean age of patients was 53.7 ± 16.4 years, and 65 (69.89%) were male. NLR at day 1 and day 3 was significantly lower in survivors as compared to nonsurvivors, while the relation of PLR in both the groups was not statistically significant. The NLR is better in predicting the severity of disease as well as mortality than PLR. Conclusion: The NLR calculated at the time of admission has high predictive value for disease deterioration and adverse clinical outcome.

Original languageEnglish (US)
Pages (from-to)847-853
Number of pages7
JournalIndian Journal of Critical Care Medicine
Issue number8
StatePublished - Aug 2021

All Science Journal Classification (ASJC) codes

  • Critical Care and Intensive Care Medicine

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