Literature DB >> 24740804

Predictive factors of early mortality after transcatheter aortic valve implantation: individual risk assessment using a simple score.

Bernard Iung1, Cédric Laouénan2, Dominique Himbert3, Hélène Eltchaninoff4, Karine Chevreul5, Patrick Donzeau-Gouge6, Jean Fajadet7, Pascal Leprince8, Alain Leguerrier9, Michel Lièvre10, Alain Prat11, Emmanuel Teiger12, Marc Laskar13, Alec Vahanian1, Martine Gilard14.   

Abstract

OBJECTIVE: Decision making for intervention in symptomatic aortic stenosis should balance the risks of surgery and of transcatheter aortic valve implantation (TAVI). We identified the factors associated with early mortality after TAVI and aimed to develop and validate a simple risk score.
METHODS: A population of 3833 consecutive patients was randomly split into two cohorts comprising 2552 and 1281 patients, used respectively to develop and validate a scoring system predicting 30-day or in-hospital mortality.
RESULTS: TAVI was performed using the Edwards Sapien prosthesis in 2551 (66.8%) patients and the Medtronic Corevalve in 1270 (33.2%). Approach was transfemoral in 2801 (73.4%) patients, transapical in 678 (17.8%), subclavian in 219 (5.7%) and other in 117 (3.1%). Early mortality was 10.0% (382 patients). A multivariate logistic model identified the following predictive factors of early mortality: age ≥90 years, body mass index <30 Kg/m(2), New York Heart Association class IV, pulmonary hypertension, critical haemodynamic state, ≥2 pulmonary oedemas during the last year, respiratory insufficiency, dialysis and transapical or other (transaortic and transcarotid) approaches. A 21-point predictive score was derived. C-index was 0.67 for the score in the development cohort and 0.59 in the validation cohort. There was a good concordance between predicted and observed 30-day mortality rates in the development and validation cohorts.
CONCLUSIONS: Early mortality after TAVI is mainly related to age, the severity of symptoms, comorbidities and transapical approach. A simple score can be used to predict early mortality after TAVI. The moderate discrimination is however a limitation for the accurate identification of high-risk patients. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

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Year:  2014        PMID: 24740804     DOI: 10.1136/heartjnl-2013-305314

Source DB:  PubMed          Journal:  Heart        ISSN: 1355-6037            Impact factor:   5.994


  35 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.  Transcatheter Aortic Valve Implantation in Taiwan: Still Evolving!

Authors:  Wei-Hsian Yin
Journal:  Acta Cardiol Sin       Date:  2017-07       Impact factor: 2.672

4.  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

Review 5.  Epidemiology of pulmonary hypertension and right ventricular failure in left heart failure.

Authors:  Thenappan Thenappan; Mardi Gomberg-Maitland
Journal:  Curr Heart Fail Rep       Date:  2014-12

6.  The obesity paradox: association of obesity with improved survival in medically managed severe aortic stenosis.

Authors:  Jinghao Nicholas Ngiam; Nicholas Ws Chew; Benjamin Yong-Qiang Tan; Hui Wen Sim; Ching-Hui Sia; William Kf Kong; Tiong-Cheng Yeo; Kian-Keong Poh
Journal:  Singapore Med J       Date:  2020-12-02       Impact factor: 3.331

7.  Academic Research Consortium High Bleeding Risk Criteria associated with 2-year bleeding events and mortality after transcatheter aortic valve replacement discharge: a Japanese Multicentre Prospective OCEAN-TAVI Registry Study.

Authors:  Kazuki Mizutani; Gaku Nakazawa; Tomohiro Yamaguchi; Mana Ogawa; Tsukasa Okai; Fumiaki Yashima; Toru Naganuma; Futoshi Yamanaka; Norio Tada; Kensuke Takagi; Masahiro Yamawaki; Hiroshi Ueno; Minoru Tabata; Shinichi Shirai; Yusuke Watanabe; Masanori Yamamoto; Kentaro Hayashida
Journal:  Eur Heart J Open       Date:  2021-11-15

8.  Impact of a Claims-Based Frailty Indicator on the Prediction of Long-Term Mortality After Transcatheter Aortic Valve Replacement in Medicare Beneficiaries.

Authors:  Harun Kundi; Linda R Valsdottir; Jeffrey J Popma; David J Cohen; Jordan B Strom; Duane S Pinto; Changyu Shen; Robert W Yeh
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2018-10

9.  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

10.  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
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