Using linear mixed models to compare a self-assessed frailty score with clinician assessed scores in patients approaching major surgery

Sayari, Mohammad; Durrand, James; Taylor, Christopher; Einbeck, Jochen; Kharatikoopaei, Ehsan; Craig, Joshua; Griffiths, Nathan

Abstract

Frailty is a syndrome of reduced physiological and cognitive reserve resulting in vulnerability to physiological insult and delayed recovery. It is a recog-nised 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.

Citation

Sayari, M., Durrand, J., Taylor, C., Einbeck, J., Kharatikoopaei, E., Craig, J., & Griffiths, N. (2024, July). Using linear mixed models to compare a self-assessed frailty score with clinician assessed scores in patients approaching major surgery. Presented at International Workshop on Statistical Modelling, Durham

• Presentation Conference Type: Conference Paper (published)
• Conference Name: International Workshop on Statistical Modelling
• Start Date: Jul 15, 2024
• End Date: Jul 19, 2024
• Acceptance Date: Apr 10, 2024
• Online Publication Date: Jul 15, 2024
• Publication Date: Jul 15, 2024
• Deposit Date: Jan 12, 2025
• Publicly Available Date: Jan 14, 2025
• Publisher: Durham University
• Peer Reviewed: Peer Reviewed
• Chapter Number: Proceedings of the 38th International Workshop on Statistical Modelling
• ISBN: 9780907552444
• Keywords: Frailty; peri-operative care; Clinical Frailty Scale; Cohen's kappa statistic; linear mixed-effects model
• Public URL: https://durham-repository.worktribe.com/output/3332710
• Publisher URL: https://maths.dur.ac.uk/iwsm2024/
• External URL: http://www.statmod.org/workshops_archive_proceedings_2024.html