ArticleFrontiers in medicine2026
Development and external validation of a 90-day mortality prediction model for comatose sepsis patients: impact of cerebrovascular disease and dementia.
Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Comatose sepsis patients face high mortality risk, yet long-term prognostic factors remain unclear, particularly how neurological comorbidities modulate Glasgow Coma Scale (GCS) predictive value. Methods: This retrospective cohort study analyzed 841 comatose sepsis patients (GCS ≤ 8) from MIMIC-IV (2008-2019). We developed a 90-day mortality prediction model using LASSO and multivariable logistic regression, with internal validation by bootstrap resampling and external validation using contemporary institutional data ( Results: Ninety-day mortality was 22.83%. Independent risk factors included age (OR 1.05), base excess (OR 0.85), PaO Conclusions: Cerebrovascular disease and dementia are strong predictors of 90-day mortality and significantly modulate GCS prognostic value. Our dual-validated model provides superior risk stratification for clinical decision-making.
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