Risk Factors Associated with Mortality in COVID-19 Hospitalized Patients: Data from the Middle East

Reema A Karasneh1, Basheer Y Khassawneh2, Sayer Al-Azzam3

  • 1Department of Basic Medical Sciences, Faculty of Medicine, Yarmouk University, Irbid, Jordan.

Insights

Elderly age, smoking, severe illness, and comorbidities like kidney disease and diabetes significantly increase COVID-19 mortality risk. Laboratory markers such as hypernatremia and elevated AST also indicate higher mortality risk in hospitalized patients.

Area of Science:

  • * Infectious Diseases
  • * Public Health
  • * Medical Informatics

Background:

  • * COVID-19 has posed a significant global health challenge, necessitating identification of risk factors for mortality.
  • * Understanding these factors is crucial for developing targeted interventions and improving patient outcomes.

Purpose of the Study:

  • * To assess demographic, clinical, comorbidity, and laboratory risk factors associated with COVID-19 mortality in hospitalized patients in Jordan.
  • * To apply multivariable logistic and machine learning (ML) methods for identifying key predictors of mortality.

Main Methods:

  • * Retrospective analysis of 1,613 hospitalized COVID-19 patients from September 2020 to August 2021.
  • * Extraction of demographic, clinical, comorbidity, and laboratory data from electronic health records.
  • * Utilized multivariable logistic regression and machine learning techniques to determine variable importance.

Main Results:

  • * Mortality rate was 37.8% (609 deaths) among 1,613 patients.
  • * Identified risk factors for mortality include elderly age (>65), current smoking, severe/critical illness at admission, chronic kidney disease, deep venous thrombosis, malignancy, diabetes, and heart failure.
  • * Significant laboratory predictors of mortality were hypernatremia, elevated aspartate aminotransferase (AST), hypoalbuminemia, and low platelet count.

Conclusions:

  • * Several demographic, clinical, and laboratory factors significantly increase the risk of COVID-19 mortality.
  • * This study is the first in the Middle East to use ML methods to analyze COVID-19 mortality risk factors.
  • * Findings can enhance understanding of the disease's impact and contribute to global pandemic management strategies.

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