Extubation Failure Risk Prediction Model Using Bedside Ultrasound
sciencedirect.comWe have established a risk prediction model for extubation failure in mechanically ventilated ICU patients. This risk model base on bedside ultrasound parameters provides valuable insights for identifying high-risk patients and preventing extubation failure.
We enrolled 300 patients undergoing MV, from whom clinical variables, biomarkers, and ultrasound parameters were collected.
Patients were randomly assigned to two groups at a 6:4 ratio: the derivation cohort (n = 180) and the validation cohort (n = 120).
A total of 300 patients (mean age 72 years; 57.3 % male) were included, with an extubation failure rate of 26.7 %.