Risk Factors associated with COVID-19 Patients in India: A Single Center Retrospective Cohort Study.

Abstract

The coronavirus disease 2019 (COVID-19) outbreak has caused a worldwide pandemic, resulting in >3.8 million deaths. Our aim is to identify the risk factors associated with in-hospital mortality using survival analysis considering the characteristics and outcomes of COVID-19 patients admitted to a dedicated tertiary-care hospital in Mumbai, India. In a retrospective cohort study, 565 patients admitted from 28th March 2020 to 30th June 2020 were enrolled, and a follow-up was conducted till August 2020. To investigate the impact of COVID-19, survival analysis was performed using the Kaplan-Meier method. Potential risk factors associated with mortality were analyzed using logistic regression models for multivariate analysis and the Cox proportional hazards model for estimating hazard ratios (HRs). From the 565 positive COVID-19 cases, 49 patients died (8.7%) and 516 (91.3%) were discharged. Overall, 119 patients (20%) required intensive care unit (ICU) admission, of which 70 (58%) patients survived. The Kaplan-Meier survival curve showed a significant association of COVID-19 infection with age (≥60; p = 0.008), hypertension (p = 0.03), dialysis (p = 0.0001), lung commodities (p = 0.01), breathlessness (p = 0.0001), severe disease upon high-resolution computed tomography (HRCT) analysis (p = 0.0001), ICU admission (p = 0.0001), and low lymphocyte count at admission (p = 0.0001). Additionally, patients receiving tocilizumab (p = 0.0001) and deprived of hydroxychloroquine (HCQ) + azithromycin (azee) (p = 0.0001) were estimated at a high risk of mortality. Coronavirus disease 2019 (COVID-19) increased the risk of mortality in patients with increased age, comorbidities, and severe symptoms upon treatment with an immunosuppressant (tocilizumab). However, patients treated with HCQ + azee showed favorable results due to their antiviral effects in vitro.