ArticleRisk management and healthcare policy2026
A Risk Stratification Model for Unplanned Extubation a Chinese Tertiary Hospital Respiratory Intensive Care Unit: A Retrospective Study Based on Nursing-Related and Ventilation Characteristics.
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
Aim: To develop a risk prediction model for unplanned extubation (UE) in invasively ventilated patients in the respiratory intensive care unit (RICU) using nursing-related and ventilation characteristics, and to perform risk stratification. Methods: This single-center retrospective study included adult patients receiving invasive mechanical ventilation in the RICU. Nursing-related variables (RASS score, delirium, physical restraint use, nurse-to-patient ratio) along with baseline and treatment data were collected. Univariate and multivariate logistic regression was employed to identify UE-associated factors and build a nomogram. Model performance was evaluated using ROC curve, Hosmer-Lemeshow test, calibration curve, decision curve analysis, and bootstrap internal validation. Risk stratification was performed based on predicted probability. Results: Among 1120 patients, 102 (9.11%) experienced UE. Multivariate analysis identified RASS category, nurse-to-patient ratio, and FiO Conclusion: The UE risk prediction model based on nursing-related characteristics has good discrimination and calibration. RASS category, nurse-to-patient ratio, and FiO
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