External validation of a surgical mortality risk prediction model for inpatient noncardiac surgery in an Australian private health insurance dataset.

ABSTRACT:

Background

We previously conducted a systematic review to identify surgical mortality risk prediction tools suitable for adapting in the Australian context and identified the Surgical Outcome Risk Tool (SORT) as an ideal model. The primary aim was to investigate the external validity of SORT for predicting in-hospital mortality in a large Australian private health insurance dataset.

Methods

A cohort study using a prospectively collected Australian private health insurance dataset containing over 2 million deidentified records. External validation was conducted by applying the predictive equation for SORT to the complete case analysis dataset. Model re-estimation (recalibration) was performed by logistic regression.

Results

The complete case analysis dataset contained

SUBMITTER: Reilly JR 

PROVIDER: S-EPMC9804688 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature