Development of a risk score to predict extubation failure in patients with traumatic brain injury

To identify predictors and develop a risk score for the prediction of extubation failure in TBI patients. We prospectively evaluated 311 TBI adults receiving mechanical ventilation for >48h in the intensive care unit. Epidemiological, ventilatory, airway protective, laboratory, and hemodynamic predictors were evaluated. A multiple logistic regression model was developed to predict the extubation failure risk. A score was developed using the arithmetic sum of the points for each independent predictor, whose scores were proportional to the regression coefficient. The accuracy of the model was determined using the C statistic. Extubation failure occurred in 43 patients (13.8%). Five independent predictors were identified: female sex (4 points) Glasgow Coma Scale motor score≤5 (4 points), moderate-to-large secretion volume (4 points), absent or weak cough (3 points), and mechanical ventilation≥10days (2 points). We calculated the risk score for patients and three risk categories were defined: low (0–3 points), moderate (4–7 points), high (8–17 points). The extubation failure rates in the three groups were 3.5%, 21.2%, and 42.9%, respectively. The score developed to predict extubation failure in TBI patients can identify three risk categories and can be easily applied in the ICU. •Patients can be classified as being at low, moderate, and high risk of extubation failure.•The score developed to predict extubation failure in TBI patients can be easily applied in the intensive care unit.•The risk of extubation failure in TBI patients was predicted using five clinical variables.