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Predictors of ICU mortality in septic patients in a resource-limited African setting: a prospective multicenter
Michel Muteya Manika1, Rivain Fefe Iteke2, Berthe Nsimire Barhayiga3
1Department of Anesthesiology and Intensive Care, Faculty of Medicine, University of Lubumbashi, Lubumbashi, DR, Congo. manikamichel@yahoo.fr.
Background:
Sepsis remains a leading cause of intensive care unit (ICU) mortality globally, with the highest burden observed in low- and middle-income countries where diagnostic capacity, timely referral, and access to organ support are limited. However, commonly used prognostic tools rely on laboratory and monitoring resources that are often unavailable in such settings. This study aimed to identify independent predictors of ICU mortality among adults with sepsis in Lubumbashi, Democratic Republic of the Congo, and to develop a context-adapted prognostic score suitable for resource-constrained environments.
Methods:
We conducted a prospective multicentre cohort study across three ICUs between January 2021 and April 2023. Adults meeting Sepsis-3 criteria were consecutively enrolled. Clinical status, basic laboratory parameters, therapeutic timing, and socioeconomic characteristics were recorded within 24 h of ICU admission. Independent predictors of 28-day mortality were identified using multivariable logistic regression. A simplified point-based prognostic model (SPARS-Basique) was constructed and evaluated for discrimination (AUROC) and calibration, with internal validation using bootstrap resampling (1,000 iterations). The outcome of interest was 28-day ICU mortality.
Results:
Seven variables were independently associated with ICU mortality: delayed ICU admission > 5 days, low socioeconomic status, absence of health insurance, GCS ≤ 10, SpO2 < 90%, serum creatinine ≥ 3 mg/dL, and blood glucose ≥ 8 mmol/L. Age ≥ 60 years and shock index ≥ 0.9 showed clinically relevant but non-significant trends after adjustment and were therefore not retained in the final SPARS-Basique score. The final 0-9-point SPARS-Basique model demonstrated strong discrimination, with an AUROC of 0.88 (95% CI 0.82-0.93) and an optimism-corrected AUROC of approximately 0.87 after bootstrap internal validation, suggesting limited overfitting. Calibration was good. Observed ICU mortality increased progressively across risk groups: 21.4% in the low-risk group (0-2 points), 64.3% in the moderate-risk group (3-5 points), and 91.2% in the high-risk group (6-9 points).
Conclusions:
Sepsis mortality in Lubumbashi ICUs remains high and is influenced by both biological severity and structural barriers to timely care. The SPARS-Basique score demonstrated good internal performance for early risk stratification of ICU mortality in this cohort. However, as this was an exploratory derivation study in a modest sample, external validation in larger, independent cohorts is required before broader clinical application can be considered.
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