Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/42088
Title: Inadequacy of existing clinical prediction models for predicting mortality after transcatheter aortic valve implantation.
Authors: Martin, G. P.
Sperrin, M.
Ludman, P. F.
de Belder, M .A.
Gale, C. P.
Toff, William D.
Moat, N. E.
Trivedi, U.
Buchan, I.
Mamas, M. A.
First Published: 3-Nov-2016
Publisher: Elsevier
Citation: American Heart Journal, 2017, 184, pp. 97-105
Abstract: BACKGROUND: The performance of emerging transcatheter aortic valve implantation (TAVI) clinical prediction models (CPMs) in national TAVI cohorts distinct from those where they have been derived is unknown. This study aimed to investigate the performance of the German Aortic Valve, FRANCE-2, OBSERVANT and American College of Cardiology (ACC) TAVI CPMs compared with the performance of historic cardiac CPMs such as the EuroSCORE and STS-PROM, in a large national TAVI registry. METHODS: The calibration and discrimination of each CPM were analyzed in 6676 patients from the UK TAVI registry, as a whole cohort and across several subgroups. Strata included gender, diabetes status, access route, and valve type. Furthermore, the amount of agreement in risk classification between each of the considered CPMs was analyzed at an individual patient level. RESULTS: The observed 30-day mortality rate was 5.4%. In the whole cohort, the majority of CPMs over-estimated the risk of 30-day mortality, although the mean ACC score (5.2%) approximately matched the observed mortality rate. The areas under ROC curve were between 0.57 for OBSERVANT and 0.64 for ACC. Risk classification agreement was low across all models, with Fleiss's kappa values between 0.17 and 0.50. CONCLUSIONS: Although the FRANCE-2 and ACC models outperformed all other CPMs, the performance of current TAVI-CPMs was low when applied to an independent cohort of TAVI patients. Hence, TAVI specific CPMs need to be derived outside populations previously used for model derivation, either by adapting existing CPMs or developing new risk scores in large national registries.
DOI Link: 10.1016/j.ahj.2016.10.020
ISSN: 0002-8703
eISSN: 1097-6744
Links: https://www.sciencedirect.com/science/article/pii/S0002870316302447?via%3Dihub
http://hdl.handle.net/2381/42088
Version: Publisher Version
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © the authors, 2016. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Appears in Collections:Published Articles, Dept. of Cardiovascular Sciences

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