Key result
A 28-variable model accurately predicted postoperative respiratory failure in patients undergoing general and vascular surgery, with an overall incidence of 3.0% and a validation c-statistic of 0.863.
Why the study?
What are the multivariable predictors of postoperative respiratory failure after general and vascular surgery?
Cohort (n=180,359)
Yes
What are the multivariable predictors of postoperative respiratory failure after general and vascular surgery?
A newly developed predictive model accurately identifies patients at high risk for postoperative respiratory failure after general and vascular surgery, enabling targeted preoperative optimization.
No takes yet. Share an insight, caveat, or question.
May aid preoperative risk stratification in surgical patients; leaves open whether implementation reduces respiratory failure.
Johnson et al. (2007) conducted a cohort in Postoperative respiratory failure after general and vascular surgery (n=180,359). Risk factors (e.g., ASA class, emergency operation, sepsis, elevated creatinine, older age, male sex, smoking, CHF, COPD) was evaluated on Postoperative respiratory failure (mechanical ventilation >48 hours or unanticipated reintubation). A 28-variable model accurately predicted postoperative respiratory failure in patients undergoing general and vascular surgery, with an overall incidence of 3.0% and a validation c-statistic of 0.863.
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