biostudies-literatureUnknown92(11)Reilly JRAustralian and New Zealand College of AnaesthetistsAustralian Society of AnaesthetistsFaculty of Medicine, Nursing and Health Sciences, Monash University, Graduate Excellence ScholarshipAustralian and New Zealand College of Anaesthetists, Project Grant and PhD ScholarshipNational Health and Medical Research CouncilNational Health and Medical Research Council, Practitioner FellowshipAustralian Society of Anaesthetists, Jackson Rees Research ScholarshipAustralian Government, Research Training Program (RTP) Scholarship<h4>Background</h4>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.<h4>Methods</h4>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.<h4>Results</h4>The complete case analysis dataset contained ANZ journal of surgery2873-2880https://www.ebi.ac.uk/biostudies/studies/S-EPMC9804688biostudies-literatureExternal validation of a surgical mortality risk prediction model for inpatient noncardiac surgery in an Australian private health insurance dataset.PMC9804688Reilly JRWong DGabbe BJBrown WAMyles PSfalseExternal validation of a surgical mortality risk prediction model for inpatient noncardiac surgery in an Australian private health insurance dataset.<h4>Background</h4>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.<h4>Methods</h4>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.<h4>Results</h4>The complete case analysis dataset contained 2022-01-01T00:00:00Z2022 Nov2025-04-22T04:29:19.895Z2025-04-05T21:00:56.26ZS-EPMC98046883597973510.1111/ans.17946