Predictors of mortality among critically ill SARS-CoV-2 infected patients—a retrospective cohort study, Kerala, India

Renal insufficiency, transaminitis, coronary artery disease and elevated inflammatory markers, comorbidities and lack of vaccination, Pneumonia, Breathlessness and ARDS, sepsis and septic shock, cough, and diarrhea at the time of admission were identified as nine domains/variables that contributed to mortality. It is relevant in the clinical setting of LMICs (low- and middle-income countries) with limited healthcare resources. These predictors would help in prognostication of the disease and guide in rationalizing the management of patients in the context of pandemic threats.

Authors

Institutions

Publication Details

Journal
Frontiers in Public Health
Published
2025-08-28
DOI
https://doi.org/10.3389/fpubh.2025.1635476
Primary Topic
COVID-19 Clinical Research Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predictors of mortality among critically ill SARS-CoV-2 infected patients—a retrospective cohort study, Kerala, India

M R Athirarani, Gnanaseelan Kanakamma Libu, Kannamkottapilly Chandrasekharan Prajitha, Anisha Sharahudeen et al.
Frontiers in Public Health
COVID-19 Clinical Research Studies
article

Predictors of mortality among critically ill SARS-CoV-2 infected patients—a retrospective cohort study, Kerala, India

M R Athirarani, Gnanaseelan Kanakamma Libu, Kannamkottapilly Chandrasekharan Prajitha, Anisha Sharahudeen, Parameswaran Hari, K Rajamohanan, Parackalparambil Sukumaran Sona, John Panicker, Aravind Reghukumar, L Sindhu, Anil Sathyadas, Thomas Mathew, Thomas Iype, Chintha Sujatha, Dhanusha Chandran, Kavitha Ravi, M.K. Suresh, V Kiran, Thekkumkara Surendran Anish, M. K. C. Nair, Thekkumkara Prabhakaran Sreekanth, A. Nizarudeen
article en

Abstract

Renal insufficiency, transaminitis, coronary artery disease and elevated inflammatory markers, comorbidities and lack of vaccination, Pneumonia, Breathlessness and ARDS, sepsis and septic shock, cough, and diarrhea at the time of admission were identified as nine domains/variables that contributed to mortality. It is relevant in the clinical setting of LMICs (low- and middle-income countries) with limited healthcare resources. These predictors would help in prognostication of the disease and guide in rationalizing the management of patients in the context of pandemic threats.

Frontiers in Public HealthVol. 13
Kerala State Council for Science, Technology and Environment (IN), Government Medical College (IN), Medical College of Wisconsin (US), Kerala School of Mathematics (IN), Kerala University of Health Sciences (IN), Government Medical College and Hospital (IN), National Institute of Epidemiology (IN), Government College Kodanchery (IN), Government Medical College (IN)
Openalex Percentile: Top 73%
COVID-19 Clinical Research Studies
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Predictors of mortality among critically ill SARS-CoV-2 infected patients—a retrospective cohort study, Kerala, India — M R Athirarani, Gnanaseelan Kanakamma Libu, et al. · Frontiers in Public Health (2025) | TGRS Research Map | TGRS