ArticleAmerican journal of translational research2025
Risk factors and predictive nomogram for multi-organ failure in patients with acute kidney failure combined with severe sepsis.
Article in American journal of translational research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Prediction model for risk of multiple organ dysfunction syndrome in wasp sting patients: development and validation.Frontiers in medicine · 2026Article
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4 authors.
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Abstract
objectivesTo identify independent risk factors for multiple organ failure (MOF) and construct a clinically applicable predictive nomogram.
methodsWe retrospectively analyzed 418 patients with acute kidney failure (AKF) and severe sepsis treated between January 2020 and September 2024. Demographic data, clinical features, and laboratory parameters were collected. Patients were randomly assigned to a training cohort (n=293) and a validation cohort (n=125). Independent risk factors for MOF were identified using logistic regression analysis, and a nomogram was subsequently developed. Model performance was evaluated using the area under the receiver operating characteristic curve (AUC), calibration curves, and decision curve analysis (DCA).
resultsFive independent predictors of MOF were identified: abdominal infection, Acute Physiology and Chronic Health Evaluation II (APACHE II) score, neutrophil count (NEU), lactate (Lac), and heparin-binding protein (HBP). The nomogram showed good discrimination, with an AUC of 0.756 (95% CI: 0.701-0.811) in the training cohort and 0.816 (95% CI: 0.743-0.889) in the validation cohort. Calibration curves demonstrated good agreement between predicted and observed outcomes, and DCA indicated a favorable net clinical benefit.
conclusionsA nomogram incorporating abdominal infection, APACHE II score, NEU, Lac, and HBP effectively predicts the risk of MOF in AKF patients with severe sepsis. This model may aid in early risk stratification and clinical decision-making.
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