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Published on: December 9, 2022
Aggregate evaluable organ dysfunction predicts in-hospital mortality from sepsis in Uganda
Richard Ssekitoleko1, Relana Pinkerton, Rose Muhindo
1Department of Internal Medicine, Mbarara Regional Referral Hospital, Faculty of Medicine, Mbarara University of Science and Technology, Uganda. sekirchrd@yahoo.com
Sepsis severity, including severe sepsis and septic shock, significantly increases the risk of in-hospital death in Ugandan patients. Easily measurable factors like organ dysfunction can help predict mortality in resource-limited settings.
Area of Science:
- Critical Care Medicine
- Infectious Diseases
- Epidemiology
Background:
- Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection.
- In-hospital mortality rates for sepsis vary significantly, particularly in resource-constrained settings.
- Accurate risk stratification is crucial for managing sepsis patients effectively.
Purpose of the Study:
- To evaluate the association between sepsis severity and in-hospital mortality.
- To identify predictors of mortality in non-surgical sepsis patients in Uganda.
- To assess the utility of organ dysfunction in risk stratification for critically ill patients.
Main Methods:
- Retrospective analysis of 150 non-surgical sepsis patients at a Ugandan regional referral hospital.
- Evaluation of in-hospital mortality rates across different sepsis severity categories (sepsis, severe sepsis, septic shock).
- Multivariate analysis to determine independent predictors of mortality, including organ dysfunction.
Main Results:
- In-hospital mortality rates were 9.6% for sepsis, 33.8% for severe sepsis, and 59.3% for septic shock.
- Severe sepsis (AHR=2.9), septic shock (AHR=5.7), and ≥3 organ dysfunctions (AHR=2.9) were significant predictors of in-hospital mortality.
- Aggregate organ dysfunction significantly improved the multivariate mortality prediction model.
Conclusions:
- Sepsis severity is a strong predictor of in-hospital mortality in this Ugandan cohort.
- Easily measurable predictors, such as organ dysfunction, can effectively risk stratify critically ill patients in resource-limited settings.
- These findings support the implementation of accessible risk stratification tools in low-resource environments.
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