ORIGINAL RESEARCH article
Front. Public Health
Sec. Infectious Diseases: Epidemiology and Prevention
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1635476
This article is part of the Research TopicExploring SARS-CoV-2 Interactions in Aging and Comorbid PopulationsView all 4 articles
Predictors of mortality among critically ill SARS-CoV-2 infected patients-A Retrospective cohort study, Kerala, India
Provisionally accepted- 1Government Medical College, Thiruvananthapuram, Thiruvananthapuram, India
- 2Kerala One Health Centre for Nipah Research and Resilience, Kozhikode, India
- 3Government Medical College Thiruvananthapuram, Thiruvananthapuram, India
- 4Government College of Nursing, Thiruvananthapuram, India
- 5Director of Medical Education, Thiruvananthapuram, India
- 6Medical College of Wisconsin, Milwaukee, United States
- 7School of Public Health, Thiruvananthapuram, India
- 8Dr MRS Menon Foundation, Thiruvananthapuram, India
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Background: Preventing the in-hospital mortality of critically ill patient is the last opportunity to saves lives during a pandemic. It was a need for the hospital settings of global south to further prioritize the individuals in this vulnerable group to allocate scares resources because of large numbers of such patients admitted in hospitals during pandemics. We, in this study flag the risk factors for in-hospital mortality for critically ill patients at the time of a pandemic like COVID-Methods: This retrospective cohort study aimed to analyse the in-hospital mortality rate and predictors of mortality of patients with critically ill SARS-CoV-2 infection admitted to a Level 3 multi-disciplinary intensive care unit in India from15 th September 2020 to 31 st March 2021. We compared the incidence proportion of in-hospital mortality in different subgroups. We calculated the relative risk (RR) of clinical and biochemical factors under study for mortality outcome. We used principal component analysis to identify risky groups because the mortality predictors were found to have highly correlated one another in univariable analyses.Of the 431 adult study participants with a median (IQR) age of 48 (34-60) years, 26.2% (n=113) were aged 60 years or above, and 58.9 % (n= 254) were men. Significant predictors of mortality in patients with severe SARS-CoV-2 infection were; age more than 60 years [
Keywords: Critically ill COVID-19, COVID-19 mortality, Mortality predictors, Kerala, India
Received: 26 May 2025; Accepted: 28 Jul 2025.
Copyright: © 2025 Sathyadas, Reghukumar, Anish, Libu, Narayan, K C, Sharahudeen, Chandran, Athirarani, Sindhu, Sona, Sreekanth, Sujatha, Iype, Kesavadas, Ravi, Nizarudeen, Hari, Rajamohanan, Mathew, Panicker and Nair. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Thekkumkara Surendran Anish, Kerala One Health Centre for Nipah Research and Resilience, Kozhikode, India
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