A new predictive model for cardiopulmonary resuscitation (CPR) outcomes in surgical patients offers crucial insights for patient selection and risk assessment.
- Among 6,405 patients, 57.9% died within 30 days following CPR.
- The extreme gradient boosting model showed 80% accuracy for predicting 30-day mortality.
- Key predictors included ASA status, case urgency, and frailty, allowing for better-informed surgical decisions.
This model helps tailor interventions and supports goal-concordant care in surgical settings.
Multicenter Study by Chen L, Justice S and Allen MB in JAMA Netw Open