Impact of various hematological and biochemical parameters on mortality in coronavirus disease 2019 (COVID-19): A single-center study from North India

Background: Severe acute respiratory syndrome coronavirus 2 (SARS CoV-2), which causes coronavirus disease 2019 (COVID-19), has rapidly evolved into a pandemic, affecting more than 90 million people and more than 1.9 million deaths worldwide. Despite extensive study, the prognostic role of various hematological and biochemical parameters remains unclear. Methods: This study was carried out at a COVID care facility in Delhi. The demographic and clinical information, laboratory parameters (hematological, biochemical, and inflammatory), and the treatment of admitted COVID-19 patients during first wave were collected from electronic medical records and were subsequently analyzed. Results: Between March 2020 and November 2020, a total of 5574 patients were admitted to hospital due to COVID-19. Majority (77.2%) were male and had a mean (standard deviation [SD]) age of 38.9 (14.9) years. The mean (SD) duration of hospital stay was significantly higher in nonsurvivors. Out of the entire cohort, 8.7% of the patients had comorbidities, whereas 47.1% of the patients were asymptomatic at presentation. Compared to the survivors, the nonsurvivors had a significantly higher proportion of comorbidities and were more likely to be symptomatic. Patients who died during hospital stay had significantly higher relative neutrophil percent and neutrophil-lymphocyte ratio and lower lymphocyte percent. The patients who died had significantly higher levels of ferritin, D-dimer, and fibrinogen. Conclusions: Analysis of various hematological and inflammatory parameters can provide useful prognostic information among COVID-19-affected patients. It can also help in identifying patients who merit aggressive institutional care and thereby potentially mitigate the mortality.