Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Jun;71(6):11-12.
doi: 10.5005/japi-11001-0263.

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

Affiliations

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

Darshana Rathod et al. J Assoc Physicians India. 2023 Jun.

Abstract

Background and objectives: 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.

Materials and methods: 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).

Results: 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.

Interpretation and conclusion: 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.

PubMed Disclaimer

Similar articles

Cited by

Substances

LinkOut - more resources