Perioperative medicine & outcomes
Measuring the Predictive Accuracy of Preoperative Clinical Frailty Instruments Applied to Electronic Health Data in Older Patients Having Emergency General Surgery: A Retrospective Cohort Study
Authors' conclusion
Adding 4 frailty instruments to typically assessed preoperative risk factors demonstrated strong predictive performance in accurately prognosticating perioperative outcomes.
Study context
- Population
- Adults above 65 undergoing emergency general surgery (EGS), Ontario, Canada, 2012–2018
- Participants
- 121,095 participants
- Exposure
- Four frailty instruments added to a baseline risk model
- Outcome
- 30-day mortality (predictive accuracy: discrimination, calibration, explained variance, net reclassification index, Brier score)
- Follow-up
- 30 days
Methodological detailspopulation-based administrative data (Institute for Clinical Evaluative Sciences (ICES), Ontario)
- Population-based administrative data (ICES, Ontario)
Main finding
As reported in the abstract
30-day mortality
Deaths within 30 days postoperatively (whole cohort)
11,422
9.4%
Observational data: associations, not effects.
Original publication
Measuring the Predictive Accuracy of Preoperative Clinical Frailty Instruments Applied to Electronic Health Data in Older Patients Having Emergency General Surgery: A Retrospective Cohort Study. Ann Surg. Published 21 September 2022. doi:10.
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