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Updated: Oct 1, 2025

A Structured Approach to Extubation in Mechanically Ventilated Rats
Published on: July 18, 2025
Reintubation Summation Calculation: A Predictive Score for Extubation Failure in Critically Ill Patients
Vikas Bansal1,2, Nathan J Smischney2,3, Rahul Kashyap2,3
1Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN, United States.
Objective:
To derive and validate a multivariate risk score for the prediction of respiratory failure after extubation.
Patients And Methods:
We performed a retrospective cohort study of adult patients admitted to the intensive care unit from January 1, 2006, to December 31, 2015, who received mechanical ventilation for ≥48 h. Extubation failure was defined as the need for reintubation within 72 h after extubation. Multivariate logistic regression model coefficient estimates generated the Re-Intubation Summation Calculation (RISC) score.
Results:
The 6,161 included patients were randomly divided into 2 sets: derivation (n = 3,080) and validation (n = 3,081). Predictors of extubation failure in the derivation set included body mass index <18.5 kg/m2 [odds ratio (OR), 1.91; 95% CI, 1.12-3.26; P = 0.02], threshold of Glasgow Coma Scale of at least 10 (OR, 1.68; 95% CI, 1.31-2.16; P < 0.001), mean airway pressure at 1 min of spontaneous breathing trial <10 cmH2O (OR, 2.11; 95% CI, 1.68-2.66; P < 0.001), fluid balance ≥1,500 mL 24 h preceding extubation (OR, 2.36; 95% CI, 1.87-2.96; P < 0.001), and total mechanical ventilation days ≥5 (OR, 3.94; 95% CI 3.04-5.11; P < 0.001). The C-index for the derivation and validation sets were 0.72 (95% CI, 0.70-0.75) and 0.72 (95% CI, 0.69-0.75). Multivariate logistic regression demonstrated that an increase of 1 in RISC score increased odds of extubation failure 1.6-fold (OR, 1.58; 95% CI, 1.47-1.69; P < 0.001).
Conclusion:
RISC predicts extubation failure in mechanically ventilated patients in the intensive care unit using several clinically relevant variables available in the electronic medical record but requires a larger validation cohort before widespread clinical implementation.
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