Predictors of Mortality for Severe Covid-19: A Descriptive Analysis From an Intensive Care Unit of a Tertiary Care Center Publisher



Kianpour P¹ ; Hajali MH² ; Karbalaeimusa H² ; Mourtami R^{1, 3} ; Pourfallah R¹ ; Najafi A⁴ ; Mojtahedzadeh M¹ ; Ghazi SF⁵ ; Ahmadi A⁴ ; Ashouri N⁶ ; Jahangirifard B⁷ Show Affiliations
Source: Archives of Anesthesiology and Critical Care Published:2025

Abstract

Background: This study aimed to investigate mortality risk factors among severe COVID-19 patients admitted to the intensive care unit (ICU) to inform better management strategies and reduce mortality rates. Methods: A descriptive-analytical, cross-sectional, and retrospective study was conducted between March 2022 and April 2023 at the intensive care unit of Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran. The study included patients admitted to the ICU with severe COVID-19. The main variables were demographic factors (age, gender), pre-existing medical conditions (smoking, diabetes, hypertension), disease severity markers (CT-scan scores, inflammatory and coagulation parameters), and mortality outcomes. Results: The study included 395 eligible patients. The mortality rate was 57.72%, with no significant difference in hospital stay duration between deceased and survived patients. Smoking, diabetes mellitus, and hypertension were significantly associated with higher mortality. Males exhibited a higher mortality rate, although not statistically significant. Patients over 65 years old had significantly higher mortality. Winter showed a significant increase in mortality, likely due to the Omicron subvariant. Higher CT scan scores and elevated inflammatory/coagulation markers correlated with increased mortality risk. Conclusion: Pre-existing conditions, demographic factors, and disease severity markers are crucial predictors of mortality in severe COVID-19 patients. Tailored interventions targeting these risk factors are essential to improve outcomes. © 2025 Tehran University of Medical Sciences.