ORIGINAL RESEARCH article

Front. Med.

Sec. Infectious Diseases: Pathogenesis and Therapy

Volume 12 - 2025 | doi: 10.3389/fmed.2025.1571865

In-hospital mortality among hospitalized COVID-19 patients in a tertiary care hospital in Dhaka city: A retrospective cohort study

Provisionally accepted
Ahmed  HossainAhmed Hossain1*Md  Maruf HasanMd Maruf Hasan2SM Sorowar  KamalSM Sorowar Kamal3,4Shahnewaz  DewanShahnewaz Dewan5Gias  U AhsanGias U Ahsan6Juwel  RanaJuwel Rana1
  • 1Research and Innovation, South Asian Institute for Social Transformation (SAIST), Dhaka, Bangladesh, Dhaka, Bangladesh
  • 2Faculty of Medical Studies, Bangladesh University of Professionals, Dhaka-1216, Bangladesh., Dhaka, Bangladesh
  • 3National Institute of Neurosciences & Hospital, Agargoan, Dhaka, Bangladesh
  • 4Radiology & Imaging, Sheikh Russel National Gastroliver Institute & Hospital, Dhaka, Bangladesh., Dhaka, Bangladesh
  • 5Department of Nephrology, Kurmitola General Hospital, Dhaka, Bangladesh., Dhaka, Bangladesh
  • 6Canadian University of Bangladesh, Dhaka, Dhaka, Bangladesh

The final, formatted version of the article will be published soon.

In-hospital mortality during COVID-19 treatment is a crucial metric used to assess the severity of the disease and the effectiveness of medical interventions. By identifying mortality risk factors, we aim to inform policy decisions, optimize resource allocation, and improve preparedness for future pandemics.Methods: This retrospective cohort study was conducted at a tertiary hospital in Dhaka City, Bangladesh. Data were gathered from the hospital's electronic medical records between July 2021 and September 2021. After applying specific inclusion and exclusion criteria, 218 patients with complete medical records were selected for the analysis. The independent variables examined included demographic characteristics, comorbidities, and clinical features. To assess in-hospital mortality, relative risks (RR) and 95% confidence intervals were calculated using multivariable logistic regression analysis employing the Delta method.The study included 218 hospitalized COVID-19 patients, primarily male (51.4%) with an average age of 56.4 years (standard deviation of 15 years). The overall in-hospital mortality rate was 18.3%. Older age (≥60) (RR:3.10, 95% CI: 1.16-8.29), long-standing hypertension (≥5 years) (RR:2.78, 95% CI:1.54-5.02), and chronic kidney disease (CKD) (RR:4.43, 95% CI:2.93-6.70) were significant risk factors for mortality. Patients with diabetes (≥3 years) had a moderately increased risk (RR:1.68, 95% CI: 1.01-2.83). Notably, shorter hospital stays (≤7 days) were associated with higher mortality, potentially due to delayed treatment initiation. Moreover, Vaccinated patients have a significantly lower risk of death (RR: 0.07) compared to unvaccinated patients, highlighting the protective effect of vaccination. Greater lung involvement (especially in lower lobes) and higher Total Severity Scores (TSS ≥14) strongly predict COVID-19 mortality, with non-survivors exhibiting significantly worse radiographic damage.Age, particularly when combined with chronic conditions like hypertension or chronic kidney disease, is a key predictor of in-hospital COVID-19 mortality. While gender is not an independent risk factor, males tend to have higher mortality rates. Delayed treatment, reflected by shorter hospital stays, also increases risk. Vaccination markedly lowers mortality. In resource-limited settings, lower lobe involvement >50% and TSS ≥14 can serve as early triage markers to guide ICU admission or intensified care. These indicators should inform risk assessment tools, resource allocation, and targeted interventions to reduce pandemic-related mortality.

Keywords: COVID-19, Mortality, Risk factors, Hospitalized patients, city, Bangladesh

Received: 07 Feb 2025; Accepted: 05 May 2025.

Copyright: © 2025 Hossain, Hasan, Kamal, Dewan, Ahsan and Rana. 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: Ahmed Hossain, Research and Innovation, South Asian Institute for Social Transformation (SAIST), Dhaka, Bangladesh, Dhaka, Bangladesh

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