Literature DB >> 27128536

Mortality prediction following transcatheter aortic valve replacement: A quantitative comparison of risk scores derived from populations treated with either surgical or percutaneous aortic valve replacement. The Israeli TAVR Registry Risk Model Accuracy Assessment (IRRMA) study.

Amir Halkin1, Arie Steinvil2, Guy Witberg3, Alon Barsheshet3, Michael Barkagan2, Abid Assali3, Amit Segev4, Paul Fefer4, Victor Guetta4, Israel M Barbash4, Ran Kornowski3, Ariel Finkelstein2.   

Abstract

BACKGROUND: Accurate risk stratification is pivotal for appropriate selection of patients with severe symptomatic aortic stenosis for either surgical or transcatheter aortic valve replacement (TAVR). We sought to determine whether recent risk prediction models developed specifically in TAVR patients enhance prognostication in comparison with previous surgical scores used in clinical practice (EuroScore I, EuroScore II, STS).
METHODS: The Israeli TAVR Registry Risk Model Accuracy Assessment (IRRMA) study utilized a multicenter prospective TAVR database (n=1327) to perform a quantitative comparison between previous risk scores developed in either surgical or TAVR populations, with the present registry serving as an independent external validation set.
RESULTS: In the IRRMA population, 4 variables (NYHA functional class IV, chronic obstructive pulmonary disease, systolic pulmonary artery pressure ≥60mmHg, vascular access other than by the femoral route) identified by cross-validation and leave-one-out analyses provided the most discriminative model (C-statistic=0.63) for predicting 30-day mortality. Previous scores developed in surgical (EuroScores I and II, STS), TAVR (FRANCE-2, OBSERVANT), or mixed (German AV score) populations were applied to the IRRMA cohort. Resultant C-statistics ranged between 0.52-0.71 (for the German AV and FRANCE-2 scores, respectively) and did not differ significantly (p=0.07 for the comparison between the lowest and highest C-statistics). The observed C-statistic for 5 of these 6 scores was lower than originally reported when applied to the IRRMA population.
CONCLUSION: Available TAVR risk scores showed limited accuracy when applied to an independent validation set and did not enhance prognostication in comparison to previous surgical scores.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Aortic stenosis; Prognosis; Risk score; Transcatheter aortic valve replacement

Mesh:

Year:  2016        PMID: 27128536     DOI: 10.1016/j.ijcard.2016.04.038

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  11 in total

Review 1.  Pre-procedural risk models for patients undergoing transcatheter aortic valve implantation.

Authors:  Glen P Martin; Matthew Sperrin; Mamas A Mamas
Journal:  J Thorac Dis       Date:  2018-11       Impact factor: 2.895

2.  Long-Term Survival Prediction for Coronary Artery Bypass Grafting: Validation of the ASCERT Model Compared With The Society of Thoracic Surgeons Predicted Risk of Mortality.

Authors:  Timothy S Lancaster; Matthew R Schill; Jason W Greenberg; Chawannuch Ruaengsri; Richard B Schuessler; Jennifer S Lawton; Hersh S Maniar; Michael K Pasque; Marc R Moon; Ralph J Damiano; Spencer J Melby
Journal:  Ann Thorac Surg       Date:  2017-12-19       Impact factor: 4.330

3.  Can Clinical Predictive Models Identify Patients Who Should Not Receive TAVR? A Systematic Review.

Authors:  Benjamin S Wessler; Andrew R Weintraub; James E Udelson; David M Kent
Journal:  Struct Heart       Date:  2020-07-09

4.  Risk scores for prediction of 30-day mortality after transcatheter aortic valve implantation: Results from a two-center study in Norway.

Authors:  Didrik Kjønås; Gry Dahle; Henrik Schirmer; Siri Malm; Jo Eidet; Lars Aaberge; Terje Steigen; Svend Aakhus; Rolf Busund; Assami Rösner
Journal:  Health Sci Rep       Date:  2021-05-06

5.  Predictors of early mortality after transcatheter aortic valve implantation.

Authors:  Didrik Kjønås; Gry Dahle; Henrik Schirmer; Siri Malm; Jo Eidet; Lars Aaberge; Terje Steigen; Svend Aakhus; Rolf Busund; Assami Rösner
Journal:  Open Heart       Date:  2019-04-23

6.  Update and, internal and temporal-validation of the FRANCE-2 and ACC-TAVI early-mortality prediction models for Transcatheter Aortic Valve Implantation (TAVI) using data from the Netherlands heart registration (NHR).

Authors:  Hatem Al-Farra; Bas A J M de Mol; Anita C J Ravelli; W J P P Ter Burg; Saskia Houterman; José P S Henriques; Ameen Abu-Hanna; M M Vis; J Vos; L Timmers; W A L Tonino; C E Schotborgh; V Roolvink; F Porta; M G Stoel; S Kats; G Amoroso; H W van der Werf; P R Stella; P de Jaegere
Journal:  Int J Cardiol Heart Vasc       Date:  2021-01-23

7.  Inadequacy of existing clinical prediction models for predicting mortality after transcatheter aortic valve implantation.

Authors:  Glen P Martin; Matthew Sperrin; Peter F Ludman; Mark A de Belder; Chris P Gale; William D Toff; Neil E Moat; Uday Trivedi; Iain Buchan; Mamas A Mamas
Journal:  Am Heart J       Date:  2016-11-03       Impact factor: 4.749

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

Authors:  Glen P Martin; Matthew Sperrin; Peter F Ludman; Mark A deBelder; Mark Gunning; John Townend; Simon R Redwood; Umesh T Kadam; Iain Buchan; Mamas A Mamas
Journal:  BMJ Open       Date:  2018-06-30       Impact factor: 2.692

9.  Novel United Kingdom prognostic model for 30-day mortality following transcatheter aortic valve implantation.

Authors:  Glen P Martin; Matthew Sperrin; Peter F Ludman; Mark A de Belder; Simon R Redwood; Jonathan N Townend; Mark Gunning; Neil E Moat; Adrian P Banning; Iain Buchan; Mamas A Mamas
Journal:  Heart       Date:  2017-12-07       Impact factor: 5.994

Review 10.  Preoperative frailty parameters as predictors for outcomes after transcatheter aortic valve implantation: a systematic review and meta-analysis.

Authors:  M S van Mourik; J F Velu; V R Lanting; J Limpens; B J Bouma; J J Piek; J Baan; J P S Henriques; M M Vis
Journal:  Neth Heart J       Date:  2020-05       Impact factor: 2.380

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