Using linear mixed models to compare a self-assessed frailty score with clinician assessed scores in patients approaching major surgery.
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Authors
Craig, Joshua
Issue Date
2024
Type
Presentation
Language
en
Keywords
Alternative Title
Abstract
Frailty is a syndrome of reduced physiological and cognitive reserve resulting in vulnerability to physiological insult and delayed recovery. It is a recognised predictor of poor perioperative outcomes. The Rockwood clinical frailty score (CFS) is a validated frailty screening tool based on the appearance of the patient in clinics. A study sponsored by South Tees Hospitals NHS Foundation Trust investigated whether patients may be able to self-assess their frailty utilizing a modified Rockwood CFS, by benchmarking the self-assessed scores with a clinician- and a researcher-assessed CFS score. A linear mixed-effects model, involving covariates such as age and ASA scores, was used to compare the CFS frailty scores and to identify any differences in their agreement. Linear mixed effect model trees were also used for a better understanding of interactions of covariates and scorer effects.
Description
Citation
Sayari, M., Durrand, J., Taylor, C. et al. (2024) Using linear mixed models to compare a self-assessed frailty score with clinician assessed scores in patients approaching major surgery. Proceedings of the 38th International Workshop on Statistical Modelling, Durham University; 2024 : 291-296.
Publisher
Durham University