Literature DB >> 25432413

Value of the "TAVI2-SCORe" versus surgical risk scores for prediction of one year mortality in 511 patients who underwent transcatheter aortic valve implantation.

Philippe Debonnaire1, Laura Fusini2, Ron Wolterbeek3, Vasileios Kamperidis4, Philippe van Rosendael4, Frank van der Kley4, Spyridon Katsanos4, Emer Joyce4, Gloria Tamborini2, Manuela Muratori2, Paola Gripari2, Jeroen J Bax4, Nina Ajmone Marsan4, Mauro Pepi2, Victoria Delgado5.   

Abstract

A bedside-available transcatheter aortic valve implantation (TAVI)-dedicated prognostic risk score is an unmet clinical need. We aimed to develop such a risk score predicting 1-year mortality post-TAVI and to compare it with the performance of the logistic EuroSCORE (LES) I and LES-II and the Society of Thoracic Surgeons' (STS) score. Baseline variables of 511 consecutive patients who underwent TAVI that were independently associated with 1-year mortality post-TAVI were included in the "TAVI2-SCORe." Discrimination and calibration abilities of the novel score were assessed and compared with surgical risk scores. One-year mortality was 17.0% (n = 80 of 471). Porcelain thoracic aorta (hazard ratio [HR] 2.56), anemia (HR 2.03), left ventricular dysfunction (HR 1.98), recent myocardial infarction (HR 3.78), male sex (HR 1.81), critical aortic valve stenosis (HR 2.46), old age (HR 1.68), and renal dysfunction (HR 1.76) formed the TAVI2-SCORe (all p <0.05). According to the number of points assigned (1 for each variable and 2 for infarction), patients were stratified into 5 risk categories: 0, 1 (HR 2.6), 2 (HR 3.6), 3 (HR 10.5), and ≥4 (HR 17.6). TAVI2-SCORe showed better discrimination ability (Harrells' C statistic 0.715) compared with LES-I, LES-II, and STS score (0.609, 0.633, and 0.50, respectively). Cumulative 1-year survival rate was 54% versus 88% for patients with TAVI2-SCORE ≥3 versus <3 points, respectively (p <0.001). Contrary to surgical risk scores, there was no significant difference between observed and expected 1-year mortality for all TAVI2-SCORe risk strata (all p >0.05, Hosmer-Lemeshow statistic 0.304), suggesting superior calibration performance. In conclusion, the TAVI2-SCORe is an accurate, simple, and bedside-available score predicting 1-year mortality post-TAVI, outperforming conventional surgical risk scores for this end point.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 25432413     DOI: 10.1016/j.amjcard.2014.10.029

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  16 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.  The impact of frailty on mortality after transcatheter aortic valve replacement.

Authors:  Charat Thongprayoon; Wisit Cheungpasitporn; Kianoush Kashani
Journal:  Ann Transl Med       Date:  2017-03

3.  Machine Learning Prediction Models for In-Hospital Mortality After Transcatheter Aortic Valve Replacement.

Authors:  Dagmar F Hernandez-Suarez; Yeunjung Kim; Pedro Villablanca; Tanush Gupta; Jose Wiley; Brenda G Nieves-Rodriguez; Jovaniel Rodriguez-Maldonado; Roberto Feliu Maldonado; Istoni da Luz Sant'Ana; Cristina Sanina; Pedro Cox-Alomar; Harish Ramakrishna; Angel Lopez-Candales; William W O'Neill; Duane S Pinto; Azeem Latib; Abiel Roche-Lima
Journal:  JACC Cardiovasc Interv       Date:  2019-07-22       Impact factor: 11.195

4.  Validation of transcatheter aortic valve implantation risk scores in relation to early and mid-term survival: a single-centre study.

Authors:  Valérie M Collas; Caroline M Van De Heyning; Bernard P Paelinck; Inez E Rodrigus; Christiaan J Vrints; Johan M Bosmans
Journal:  Interact Cardiovasc Thorac Surg       Date:  2015-12-20

5.  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

6.  Impact of age on transcatheter aortic valve implantation outcomes: a comparison of patients aged ≤ 80 years versus patients > 80 years.

Authors:  Frank van der Kley; Philippe J van Rosendael; Spyridon Katsanos; Vasileios Kamperidis; Nina A Marsan; Ioannis Karalis; Arend de Weger; Meindert Palmen; Jeroen J Bax; Martin J Schalij; Victoria Delgado
Journal:  J Geriatr Cardiol       Date:  2016-01       Impact factor: 3.327

7.  ANMCO/SIC/SICI-GISE/SICCH Executive Summary of Consensus Document on Risk Stratification in elderly patients with aortic stenosis before surgery or transcatheter aortic valve replacement.

Authors:  Giovanni Pulignano; Michele Massimo Gulizia; Samuele Baldasseroni; Francesco Bedogni; Giovanni Cioffi; Ciro Indolfi; Francesco Romeo; Adriano Murrone; Francesco Musumeci; Alessandro Parolari; Leonardo Patanè; Paolo Giuseppe Pino; Annalisa Mongiardo; Carmen Spaccarotella; Roberto Di Bartolomeo; Giuseppe Musumeci
Journal:  Eur Heart J Suppl       Date:  2017-05-02       Impact factor: 1.803

8.  Femoral artery anatomy-tailored approach in transcatheter aortic valve implantation.

Authors:  Anna Olasińska-Wiśniewska; Marek Grygier; Maciej Lesiak; Aleksander Araszkiewicz; Olga Trojnarska; Anna Komosa; Marcin Misterski; Marek Jemielity; Marek Proch; Stefan Grajek
Journal:  Postepy Kardiol Interwencyjnej       Date:  2017-05-30       Impact factor: 1.426

Review 9.  The relationship between preoperative frailty and outcomes following transcatheter aortic valve implantation: a systematic review and meta-analysis.

Authors:  Atul Anand; Catherine Harley; Akila Visvanathan; Anoop S V Shah; Joanna Cowell; Alasdair MacLullich; Susan Shenkin; Nicholas L Mills
Journal:  Eur Heart J Qual Care Clin Outcomes       Date:  2017-04-01

Review 10.  Frailty and Exercise Training: How to Provide Best Care after Cardiac Surgery or Intervention for Elder Patients with Valvular Heart Disease.

Authors:  Egle Tamuleviciute-Prasciene; Kristina Drulyte; Greta Jurenaite; Raimondas Kubilius; Birna Bjarnason-Wehrens
Journal:  Biomed Res Int       Date:  2018-09-13       Impact factor: 3.411

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