ArticleCureus2026
Unmasking Heterogeneity: Evaluating Distinct Sepsis Clinical Phenotypes and Their Association With Mortality in Critical Adult Patients.
Article in Cureus, 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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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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2 authors.
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Abstract
objectiveThis study aimed to evaluate three phenotypic classifications based on their ability to predict mortality in critically ill adult patients with sepsis.
methodsThis single-center cohort study involved 106 patients diagnosed with sepsis upon admission to the intensive care unit (ICU). The patient population was categorized according to three distinct clinical phenotypic models: the first based on age and thermal profiles, the second stratifying patients into four specific groups (multiple organ failure, respiratory dysfunction, neurological dysfunction, and miscellaneous), and the third assessing arterial blood pressure trajectories within the initial 10 hours of ICU stay. Multiple logistic regression models were fitted to evaluate the utility of these classifications in predicting in-hospital mortality. The performance of a model incorporating the three phenotypic classifications was compared with the acute physiology and chronic health evaluation II (APACHE II) and sequential organ failure assessment (SOFA) scores.
resultsIt was observed that elderly patients presenting with hypothermia showed a significantly higher mortality risk compared to younger, normothermic, or febrile subjects (OR 17.32 [95% CI 1.95-153.14],
conclusionsWhen used together, the phenotypically analyzed classifications demonstrated good accuracy in predicting mortality among critically ill patients with sepsis.
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