Prediction of 90-day mortality after surgery for colorectal cancer using standardized nationwide quality-assurance data.

ABSTRACT: Personalized risk assessment provides opportunities for tailoring treatment, optimizing healthcare resources and improving outcome. The aim of this study was to develop a 90-day mortality-risk prediction model for identification of high- and low-risk patients undergoing surgery for colorectal cancer. This was a nationwide cohort study using records from the Danish Colorectal Cancer Group database that included all patients undergoing surgery for colorectal cancer between 1 January 2004 and 31 December 2015. A least absolute shrinkage and selection operator logistic regression prediction model was developed using 121 pre- and intraoperative variables and internally validated in a hold-out test data set. The accuracy of the model was assessed in terms of discrimination and calibration. In to

SUBMITTER: Vogelsang RP 

PROVIDER: S-EPMC8105588 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature