Key result
COMPASS model predicts 30-day mortality after perioperative CPR with ~0.82 AUROC.
Why the study?
Population-level estimates of outcomes after perioperative CPR do not account for individual patient risk differences, and the COMPASS model has not been temporally validated.
Can the COMPASS model and a simplified 3-variable score accurately predict 30-day mortality after perioperative cardiopulmonary resuscitation in adults undergoing noncardiac surgery?
Cohort (n=429)
Yes
Can the COMPASS model and a simplified 3-variable score accurately predict 30-day mortality after perioperative cardiopulmonary resuscitation in adults undergoing noncardiac surgery?
The COMPASS model and a simplified 3-variable point-based score demonstrated good discrimination for estimating individualized 30-day mortality risk after perioperative CPR in noncardiac surgery.
Background: Perioperative cardiac arrest is associated with high mortality, but population-level estimates of outcomes after perioperative cardiopulmonary resuscitation (CPR) do not account for differences in risk among individual patients. We previously developed the CPR OutcoMes Prediction for Arrest in Surgical Settings (COMPASS) model to estimate 30-day mortality after cardiac arrest requiring CPR on the day of surgery. The model incorporates 33 preoperative predictors and has not been evaluated in a temporally distinct cohort. We therefore sought to temporally validate COMPASS and to develop and temporally validate a simplified point-based mortality score. Methods: We performed a retrospective prognostic study of adults undergoing noncardiac surgery who experienced cardiac arrest requiring CPR on postoperative day 0 in the American College of Surgeons National Surgical Quality Improvement Program. The primary outcome was 30-day mortality. The published COMPASS model, developed using 2012-2023 data, was applied without refitting to the 2024 cohort. A simplified point-based score was developed in the 2012-2023 cohort and temporally validated in 2024. Performance was assessed using discrimination, calibration, and Brier score. Results: The 2024 temporal validation cohort included 429 patients, of whom 274 (63.9%) died within 30 days. The COMPASS model had an area under the receiver operating characteristic curve (AUROC) of 0.82 (95% CI, 0.78-0.86), calibration intercept of 0.24, calibration slope of 1.10, and Brier score of 0.17. The simplified 3-variable score incorporating age, American Society of Anesthesiologists physical status, and case urgency had an AUROC of 0.81 (95% CI, 0.77-0.86), calibration intercept of 0.19, calibration slope of 1.25, and Brier score of 0.17. Conclusions: In a temporally distinct cohort, the published COMPASS model retained predictive performance for 30-day mortality after perioperative CPR. The simplified score showed similar performance. These findings support further evaluation of both approaches as tools for individualized estimation of perioperative CPR mortality.
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Chen et al. (2026) conducted a cohort in Cardiac arrest requiring CPR on the day of noncardiac surgery (n=429). COMPASS mortality model was evaluated on 30-day all-cause mortality (AUROC 0.82, 95% CI 0.78-0.86). The COMPASS model and a simplified 3-variable score accurately predicted 30-day mortality after perioperative CPR in a temporally distinct cohort, achieving AUROCs of 0.82 and 0.81 respectively.
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