Abstract

Objective: Neutrophil-to-lymphocyte and lymphocyte-to-C-reactive protein ratios are important prognostic indicators for disease severity measurement among coronavirus patients. To predict the disease severity, CURB-65 scores, and outcome after 14 days of admission using two proxy biomarkers (neutrophil lymphocyte and lymphocyte C-reactive protein ratios) in COVID-19 patients.
 Methodology: A prospective study was done at the Department of Medicine, Pakistan Ordinance Factory (POF) hospital, Wah Cantt, Pakistan, from April to August 2022. A total of 123 coronavirus patients were included. Patients with clinical manifestations, decreased lymphocyte and leukocyte counts, imaging characteristics of pneumonia, etiological evidence of a positive real time PCR test of blood or respiratory samples, and viral gene sequencing similar to known COVID-19 were measured. Patients underwent laboratory measurements and imaging analysis for biomarker indications. The analysis of the data was conducted using SPSS version 23.
 Results: The patients mean age was 53.83±16.2 years. Among 123 COVID-19 patients, 80 (65%) were males and 43 (35%) were females. It was found to have high NLR and low LCR in severe disease (p = 0.05, p = 0.01). NLR and LCR showed 11% variance for disease severity (β = 0.143, p = 0.00, and β = -0.293, p = 0.01). NLR and LCR showed 29% variance for CURB 65 scores (β = 0.48, p = 0.634, and β = -0.159, p = 0.08). NLR and LCR showed 22% variance for outcome after 14 days of admission (β=-0.53, p=0.562, & β=-0.132, p=0.149).
 Conclusion: Neutrophil to lymphocyte and lymphocyte to C-reactive protein ratios are effective prognostic biomarkers for measuring the severity of disease in COVID-19 patients. High neutrophil-to-lymphocyte and low lymphocyte-to-C-reactive protein ratios significantly predict disease severity.

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