Are Biochemical Markers Important in Predicting Intensive Care Unit Admission and Mortality in COVID-19 Patients?

Abstract

INTRODUCTION: Many biochemical parameters have been studied in determining the clinical severity of COVID-19 disease. In this study, the effects of NLR, TLR and lymphocyte-CRP ratio on the severity of the disease, the need for intensive care and mortality were investigated in patients diagnosed with COVID-19. METHODS: COVID-19 patients who were followed up in service and intensive care units and whose diagnosis was confirmed by the laboratory at our hospital between August 1th 2020-1th 2020 were retrospectively screened. Demographic data and laboratory values of the patients were recorded from electronic medical records. Multiple logistic regression analysis was performed in terms of mortality and need for intensive care unit treatment. RESULTS: A thousand seven hundred fifty patients were included in the study. 151 (8.62%) patients needed follow-up in the intensive care unit. While there was a significant difference between the survivor and non-survivor patients in terms of age, neutrophil, lymphocyte, CRP, NLR, lymphocyte CRP ratio, TLR, comorbidity and hospitalization days (for all p <0.05). While there was a significant difference among the patient groups who need and do not need intensive care unit hospitalization in terms of in terms of age, radiological involvement, neutrophil, lymphocyte, CRP, NLR, lymphocyte CRP ratio, TLO, comorbidity and hospitalization days (p <0.05 for all). DISCUSSION AND CONCLUSION: Multiple logistic regression analysis was performed to determine risk factors for mortality. In the multiple logistic regression analysis, age, C-Reactive protein, and length of stay hospital were determined as independent risk factors for mortality.

Keywords

• covid-19
• lymphocyte c-reactive protein ratio
• neutrophil-lymphocyte ratio
• platelet-lymphocyte ratio
• age