ArticleRisk management and healthcare policy2026
Development and Validation of a Nomogram for Predicting Acute Skin Failure in Critically Ill Patients: A Prospective Study.
Article in Risk management and healthcare policy, 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
Purpose: Acute skin failure is a common skin injury in critically ill patients. This study aimed to develop a nomogram model to assess the risk of acute skin failure in critically ill patients. Methods: This study enrolled 230 ICU patients from a class III hospital in Nanjing for modeling development from August 2024 to February 2025, while 123 ICU patients were enrolled for external validation from March 2025 to May 2025. Lasso regression and logistic regression were used to analyze the independent prediction factors of acute skin failure in critically ill patients. The nomogram model was constructed with R 4.4.1 software, and the web calculator was developed. The model's predictive ability was evaluated using the area under the receiver operating characteristic (ROC) curve (AUC), calibration curves, and clinical decision curves. Finally, the Shapley additive explanation method (SHAP) was employed to improve the model's interpretability. Results: The results of the study showed that peripheral perfusion index (OR=0.523, Conclusion: The nomogram model developed in this study for predicting ASF risk in critically ill patients demonstrates potentially useful predictive performance and assists caregivers in the early identification of high-risk ASF groups.
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