Related Experiment Video
Updated: Jan 31, 2026

Minimally Invasive Endoscopic Intracerebral Hemorrhage Evacuation
Published on: October 15, 2021
Validation of the Intracerebral Hemorrhage Score in Uganda
Amir Abdallah1, Jonathan L Chang2, Cumara B O'Carroll3
1From the Department of Medicine (A.A., S.O., A.A.A., M.J.S.), Mbarara University of Science and Technology, Uganda.
Insights
Intracerebral hemorrhage (ICH) outcomes in sub-Saharan Africa are poorly understood. The ICH score effectively predicts 30-day mortality in Uganda, with HIV and female sex also impacting survival.
Area of Science:
- Neurology
- Public Health
- Epidemiology
Background:
- Intracerebral hemorrhage (ICH) incidence is highest in sub-Saharan Africa.
- Outcomes and prognostic markers for ICH are not well-validated in this region.
Purpose of the Study:
- To describe ICH outcomes in Uganda.
- To validate standard prognostic markers for ICH in a sub-Saharan African setting.
Main Methods:
- Consecutive patients with computed tomography-confirmed ICH were enrolled in southwestern Uganda.
- Demographic, clinical, and radiographic data were collected, and ICH scores calculated.
- Poisson regression models identified predictors of 30-day case fatality.
Main Results:
- 73 patients with ICH were enrolled; 44% died within 30 days.
- Higher ICH scores, HIV infection, and female sex were associated with increased case fatality.
- The ICH score moderately improved when adjusted for HIV and sex.
Conclusions:
- The ICH score is a significant predictor of 30-day mortality in Ugandan ICH patients.
- Findings support using the ICH score to guide patient care in the region.
Abstract:
Background and Purpose- Rates of intracerebral hemorrhage (ICH) are estimated to be highest globally in sub-Saharan Africa. However, outcomes of ICH are poorly described and standard prognostic markers for ICH have not been validated in the region. Methods- We enrolled consecutive patients with computed tomography-confirmed ICH at a referral hospital in southwestern Uganda. We recorded demographic, clinical, and radiographic features of ICH, and calculated ICH scores. We fit Poisson regression models with robust variance estimation to determine predictors of case fatality at 30 days. Results- We enrolled 73 individuals presenting with computed tomography-confirmed ICH (mean age 60 years, 45% [33/73] female, and 14% [10/73] HIV-positive). The median ICH score was 2 (interquartile range, 1-3; range, 0-5). Case fatality at 30 days was 44% (32/73; 95% CI, 33%-57%). The 30-day case fatality increased with increasing ICH score of 0, 1, and 5 from 17%, 23%, to 100%, respectively. In multivariable-adjusted models, ICH score was associated with case fatality (adjusted relative risk, 1.48; 95% CI, 1.23-1.78), as were HIV infection (adjusted relative risk, 1.92; 95% CI, 1.07-3.43) and female sex (adjusted relative risk, 2.17; 95% CI, 1.32-3.59). The ICH score moderately improved with the addition of a point each for female sex and HIV serostatus (0.81 versus 0.73). Conclusions- ICH score at admission is a strong prognostic indicator of 30-day case fatality in Uganda. Our results support its role in guiding the care of patients presenting with ICH in the region.
Related Concept Videos
Reliability and Validity
Introduction to z Scores
z scores...
Introduction to z Scores
z scores...
z Scores and Area Under the Curve
z Scores and Unusual Values
This score indicates how far a value is from the mean in terms of standard deviation. For example, if a data value has a z score of +1, the researcher can infer that the particular data value is one standard deviation above the mean. If another data...
Data Validation
Key parameters for method validation include:

