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Severity score for predicting in-facility Ebola treatment outcome
Jia Bainga Kangbai1, Christian Heumann2, Michael Hoelscher3
1Center for International Health, University of Munich (LMU), Munich, Germany; Department of Environmental Health Sciences, Njala University, Bo, Sierra Leone.
Annals of Epidemiology
|August 9, 2020
Summary
Researchers developed a predictive score to identify Ebola patients at high risk of death during the West African outbreak in Sierra Leone. This tool aids in prioritizing care for critically ill Ebola virus disease (EVD) patients.
Area of Science:
- Epidemiology
- Public Health
- Infectious Diseases
Background:
- Sierra Leone faced the highest incidence of the 2013-2016 West African Ebola outbreak.
- Understanding factors influencing Ebola treatment outcomes is crucial for effective patient management.
Purpose of the Study:
- To identify sociodemographic and clinical factors associated with Ebola treatment outcomes in Sierra Leone.
- To develop a predictive in-facility mortality score for Ebola virus disease (EVD) patients.
Main Methods:
- Retrospective analysis of anonymized medical records of 1077 laboratory-confirmed EVD patients.
- Data collected from treatment centers in Sierra Leone between June 2014 and April 2015.
- Development of a predictive score based on clinical and sociodemographic characteristics.
Main Results:
- A predictive model stratified patients into low, medium, and high-risk mortality groups.
- Case Fatality Rates (CFR) were 0.56% (low-risk), 9.75% (medium-risk), and 67.41% (high-risk).
- The score effectively reflects EVD clinical severity.
Conclusions:
- An in-facility mortality risk score for EVD was successfully developed.
- The score can aid in the clinical prioritization of patients with EVD.
- This tool assists healthcare providers in managing critically ill patients during outbreaks.

