Safety, quality & education

American College of Surgeons National Surgical Quality Improvement Program Surgical Risk Calculator Accuracy When Operative Risk is Represented by the Principal Current Procedural Terminology Code Versus Many Codes

Ann SurgPublished Prediction model development and validation study

Authors' conclusion

While the current RC, relying on XGB and the principal CPT code, remains a viable approach to routine surgical risk assessment, an advanced version of the RC, based on the CATB algorithm and accommodating multiple CPT codes, may provide more accurate estimates.

Study context

Population
Surgical patients in the American College of Surgeons National Surgical Quality Improvement Program, 2016 to 2020
Participants
5,020,713 patients
Comparison
XGB vs CatBoost (CATB)
Outcome
Predictive accuracy for 13 outcomes: discrimination (AUC of ROC and precision recall curve) and calibration (Hosmer-Lemeshow statistics)
Methodological detailsregistry data, 80% training / 20% validation split, machine learning
  • Registry data
  • 80% training / 20% validation split
  • Machine learning

Performance

As reported in the abstract

Predictive accuracy

XGB slightly worse calibration than CATB in cases with at least one code beyond the principal Current Procedural Terminology (CPT) code

34.8%

Further findings

Accuracy in patients with 4 or more CPTs (subgroup)

CATB provided meaningfully more accurate estimates than XGB in patients with 4 or more CPTs (about 8% of all patients)

Original publication

American College of Surgeons National Surgical Quality Improvement Program Surgical Risk Calculator Accuracy When Operative Risk is Represented by the Principal Current Procedural Terminology Code Versus Many Codes. Ann Surg. Published 7 February 2025. doi:10.1097/sla.0000000000006661

Composed by AI from the published abstract and checked against it. How Briefs are made →

Get them every week

New studies on this topic in My Week and in your Monday e-mail.

We e-mail you a sign-in link and a code. No password, no spam.