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Do frailty measures improve prediction of mortality and morbidity following transcatheter aortic valve implantation? An analysis of the UK TAVI registry.pdf (818.14 kB)

Do frailty measures improve prediction of mortality and morbidity following transcatheter aortic valve implantation? An analysis of the UK TAVI registry.

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posted on 2019-08-20, 11:40 authored by GP Martin, M Sperrin, PF Ludman, MA deBelder, M Gunning, J Townend, SR Redwood, UT Kadam, I Buchan, MA Mamas
OBJECTIVES: Previous studies indicate frailty to be associated with poor outcomes following transcatheter aortic valve implantation (TAVI), but there is limited evidence from multicentre registries. The aim was to investigate the independent association of frailty with TAVI outcomes, and the prognostic utility of adding frailty into existing clinical prediction models (CPMs). DESIGN: The UK TAVI registry incorporated three frailty measures since 2013: Canadian Study of Health and Ageing, KATZ and poor mobility. We investigated the associations between these frailty measures with short-term and long-term outcomes, using logistic regression to estimate multivariable adjusted ORs, and Cox proportional hazards models to explore long-term survival. We compared the predictive performance of existing TAVI CPMs before and after updating them to include each frailty measure. SETTING: All patients who underwent a TAVI procedure in England or Wales between 2013 and 2014. PARTICIPANTS: 2624 TAVI procedures were analysed in this study. PRIMARY AND SECONDARY OUTCOMES: The primary endpoints in this study were 30-day mortality and long-term survival. The Valve Academic Research Consortium (VARC)-2 composite early safety endpoint was considered as a secondary outcome. RESULTS: KATZ <6 (OR 2.10, 95% CI 1.39 to 3.15) and poor mobility (OR 2.15, 95% CI 1.41 to 3.28) predicted 30-day mortality after multivariable adjustment. All frailty measures were associated with increased odds of the VARC-2 composite early safety endpoint. We observed a significant increase in the area under the receiver operating characteristic curves by approximately 5% after adding KATZ <6 or poor mobility into the TAVI CPMs. Risk stratification agreement was significantly improved by the addition of each frailty measure, with an increase in intraclass correlation coefficient of between 0.15 and 0.31. CONCLUSION: Frailty was associated with worse outcomes following TAVI, and incorporating frailty metrics significantly improved the predictive performance of existing CPMs. Physician-estimated frailty measures could aid TAVI risk stratification, until more objective scales are routinely collected.


This research was funded by the Medical Research Council, through the Health e-Research Centre, University of Manchester (MR/K006665/1) and the North Staffordshire Heart Committee. We would like to acknowledge all participating centres for collecting the data and the National Institute for Cardiovascular Outcomes Research (NICOR) for providing the UK TAVI registry extract for this study.



BMJ Open 2018;8:e022543

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The data that this research was conducted on are available from the National Institute for Cardiovascular Outcomes Research (NICOR) after undertaking an application process.



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