Prediction of 30-day, 90-day, and 1-year mortality after colorectal cancer surgery using a data-driven approach.

ABSTRACT:

Purpose

To develop prediction models for short-term mortality risk assessment following colorectal cancer surgery.

Methods

Data was harmonized from four Danish observational health databases into the Observational Medical Outcomes Partnership Common Data Model. With a data-driven approach using the Least Absolute Shrinkage and Selection Operator logistic regression on preoperative data, we developed 30-day, 90-day, and 1-year mortality prediction models. We assessed discriminative performance using the area under the receiver operating characteristic and precision-recall curve and calibration using calibration slope, intercept, and calibration-in-the-large. We additionally assessed model performance in subgroups of curative, palliative, elective, and emergency surgery.

Re

SUBMITTER: Brauner KB 

PROVIDER: S-EPMC10904562 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature