Key result
Traditional perioperative risk prediction models, including CR-POSSUM, significantly overestimated 30-day mortality (expected 7.1% vs observed 0.8%) and demonstrated poor discrimination in patients undergoing major colorectal surgery with enhanced recovery care.
Why the study?
Can traditional risk models accurately predict morbidity and mortality in patients undergoing major colorectal surgery within an enhanced recovery program?
Observational (n=1,380)
No
Can traditional risk models accurately predict morbidity and mortality in patients undergoing major colorectal surgery within an enhanced recovery program?
Traditional risk models significantly overestimate mortality and morbidity in major colorectal surgery within modern enhanced recovery programs, indicating a need for updated prediction tools.
Overprediction of mortality by traditional models in ERAS colorectal surgery warrants caution in risk counseling; leaves open recalibration for contemporary cohorts.
PURPOSE: This study aims to determine whether traditional risk models can accurately predict morbidity and mortality in patients undergoing major surgery by colorectal surgeons within an enhanced recovery program. METHODS: One thousand three hundred eighty patients undergoing surgery performed by colorectal surgeons in a single UK hospital (2008-2013) were included. Six risk models were evaluated: (1) Physiology and Operative Severity Score for the enumeration of Mortality and Morbidity (POSSUM), (2) Portsmouth POSSUM (P-POSSUM), (3) ColoRectal (CR-POSSUM), (4) Elderly POSSUM (E-POSSUM), (5) the Association of Great Britain and Ireland (ACPGBI) score, and (6) modified Estimation of Physiologic Ability and Surgical Stress Score (E-PASS). Model accuracy was assessed by observed to expected (O:E) ratios and area under Receiver Operating Characteristic curve (AUC). RESULTS: Eleven patients (0.8%) died and 143 patients (10.4%) had a major complication within 30 days of surgery. All models overpredicted mortality and had poor discrimination: POSSUM 8.5% (O:E 0.09, AUC 0.56), P-POSSUM 2.2% (O:E 0.37, AUC 0.56), CR-POSSUM 7.1% (O:E 0.11, AUC 0.61), and E-PASS 3.0% (O:E 0.27, AUC 0.46). ACPGBI overestimated mortality in patients undergoing surgery for cancer 4.4% (O:E = 0.28, AUC = 0.41). Predicted morbidity was also overestimated by POSSUM 32.7% (O:E = 0.32, AUC = 0.51). E-POSSUM overestimated mortality (3.25%, O:E 0.57 AUC = 0.54) and morbidity (37.4%, O:E 0.30 AUC = 0.53) in patients aged ≥ 70 years and over. CONCLUSION: All models overestimated mortality and morbidity. New models are required to accurately predict the risk of adverse outcome in patients undergoing major abdominal surgery taking into account the reduced physiological and operative insult of laparoscopic surgery and enhanced recovery care.
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Bagnall et al. (2018) conducted an observational in Major colorectal surgery (n=1,380). Traditional perioperative risk prediction models (e.g., CR-POSSUM) vs. Observed clinical outcomes was evaluated on 30-day mortality prediction accuracy (CR-POSSUM) (O:E 0.11, AUC 0.61, 95% CI 0.476-0.738). Traditional perioperative risk prediction models, including CR-POSSUM, significantly overestimated 30-day mortality (expected 7.1% vs observed 0.8%) and demonstrated poor discrimination in patients undergoing major colorectal surgery with enhanced recovery care.
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