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Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
Published on: November 10, 2023
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.
Abstract:
This study aimed to assess the risk factors for COVID-19 mortality among hospitalized patients in Jordan. All COVID-19 patients admitted to a tertiary hospital in Jordan from September 20, 2020, to August 8, 2021, were included in this study. Demographics, clinical characteristics, comorbidities, and laboratory results were extracted from the patients' electronic records. Multivariable logistic and machine learning (ML) methods were used to study variable importance. Out of 1,613 COVID-19 patients, 1,004 (62.2%) were discharged from the hospital (survived), while 609 (37.8%) died. Patients who were of elderly age (>65 years) (OR, 2.01; 95% CI, 1.28-3.16), current smokers (OR, 1.61; 95%CI, 1.17-2.23), and had severe or critical illness at admission ((OR, 1.56; 95%CI, 1.05-2.32) (OR, 2.94; 95%CI, 2.02-4.27); respectively), were at higher risk of mortality. Comorbidities including chronic kidney disease (OR, 2.90; 95% CI, 1.90-4.43), deep venous thrombosis (OR, 2.62; 95% CI, 1.08-6.35), malignancy (OR, 2.22; 95% CI, 1.46-3.38), diabetes (OR, 1.31; 95% CI, 1.04-1.65), and heart failure (OR, 1.51; 95% CI, 1.02-2.23) were significantly associated with increased risk of mortality. Laboratory abnormalities associated with mortality included hypernatremia (OR, 11.37; 95% CI, 4.33-29.81), elevated aspartate aminotransferase (OR, 1.81; 95% CI, 1.42-2.31), hypoalbuminemia (OR, 1.75; 95% CI, 1.37-2.25), and low platelets level (OR, 1.43; 95% CI, 1.05-1.95). Several demographic, clinical, and laboratory risk factors for COVID-19 mortality were identified. This study is the first to examine the risk factors associated with mortality using ML methods in the Middle East. This will contribute to a better understanding of the impact of the disease and improve the outcome of the pandemic worldwide.
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