A Karnofsky Performance Status-Based Risk Score Improves Prediction of Post-Sepsis Mortality in Sub-Saharan Africa: A Multicohort Study From Uganda
Authors' conclusion
KPS assessed at hospital discharge significantly improves prediction of post-discharge mortality among acute sepsis survivors in sub-Saharan Africa.
Study context
- Population
- Adults (≥ 18 yr) hospitalized with sepsis (signs of infection and qSOFA ≥1) discharged or transferred alive, two public hospitals in Entebbe and Tororo, Ugandatwo cohorts
- Participants
- 217 vs 251
- Exposure
- Discharge Karnofsky Performance Status (KPS)-based risk stratification for post-discharge mortality
- Entebben = 217
- Tororon = 251
- Outcome
- Post-discharge mortality (prediction by KPS assessed at discharge or transfer)
- Follow-up
- 30 and 60 days post-discharge in Entebbe and Tororo, respectively
Methodological detailstwo cohorts, multicohort
- Two cohorts
- Multicohort
Main finding
As reported in the abstract
Post-discharge mortality per higher KPS at discharge
Adjusted odds ratio (95% CI)
Entebbe
0.95(0.93–0.98)
Tororo
0.96(0.94–0.98)
Per higher KPS at discharge, as printed
Observational data: associations, not effects.
Further findings
Mortality prediction with KPS added to baseline risk model
- Adding KPS significantly improved post-discharge mortality prediction in both cohorts; discrimination and calibration also improved
Original publication
A Karnofsky Performance Status-Based Risk Score Improves Prediction of Post-Sepsis Mortality in Sub-Saharan Africa: A Multicohort Study From Uganda. Crit Care Med. Published 23 January 2026. doi:10.
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