Literature DB >> 29422352

Clinical Frailty as an Outcome Predictor After Transcatheter Aortic Valve Implantation.

Toby Rogers1, M Chadi Alraies1, Homam Moussa Pacha1, Elizabeth Bond1, Kyle D Buchanan1, Arie Steinvil1, Jiaxiang Gai1, Rebecca Torguson1, Itsik Ben-Dor1, Lowell F Satler1, Ron Waksman2.   

Abstract

Society of Thoracic Surgeons (STS) score and frailty index are calculated routinely as part of transcatheter aortic valve implantation (TAVI) assessment to determine procedure risk. We aim to evaluate the incremental improvement of STS risk score using frailty status in predicting short- and long-term outcome after TAVI. Study population included 544 consecutive TAVI patients who completed full frailty assessment and STS score calculation before the procedure. Frailty is defined by the presence of any 3 of the following 5 criteria: algorithm-defined grip strength and 15-foot walking tests, body mass index < 20 kg/m2, Katz activity of daily living ≤ 4/6, serum albumin < 3.5 g/dl. Multivariable logistic analysis of 30-day and 1-year mortality was performed using a logistic regression model that comprised the STS risk score model as a single variable. Based on frailty definition, 242 patients were frail and 302 patients were not. STS score was higher in the frail group than in the nonfrail group. Compared with STS risk score alone, frailty status was a significant predictor of 1-year mortality after TAVI procedure (odds ratio 1.0, 95% confidence interval [CI] 1.0 to 1.1, p = 0.029 vs 2.75, 95% CI 1.55 to 4.87, p <0.001, respectively). Although the c-statistic of the 1-year STS risk prediction model only changed from 0.62 to 0.66 (p = 0.08), the net reclassification improvement increased significantly to 52.8% after adding frailty to the prediction model (95% CI 0.28 to 0.77, p <0.0001). Frailty status is associated with higher mortality in TAVI cohort and incrementally improves the well-validated STS risk prediction model. Frailty assessment should continue to be part of the preprocedural assessment to further improve patient outcomes after TAVI.
Copyright © 2018 Elsevier Inc. All rights reserved.

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Year:  2018        PMID: 29422352     DOI: 10.1016/j.amjcard.2017.12.035

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


  9 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.  Frailty and related outcomes in patients undergoing transcatheter valve therapies in a nationwide cohort.

Authors:  Harun Kundi; Jeffrey J Popma; Matthew R Reynolds; Jordan B Strom; Duane S Pinto; Linda R Valsdottir; Changyu Shen; Eunhee Choi; Robert W Yeh
Journal:  Eur Heart J       Date:  2019-07-14       Impact factor: 29.983

3.  Measurement and prognosis of frail patients undergoing transcatheter aortic valve implantation: a systematic review and meta-analysis.

Authors:  Zhe Li; Emily Dawson; Jessica Moodie; Janet Martin; Rodrigo Bagur; Davy Cheng; Bob Kiaii; Adam Hashi; Ran Bi; Michelle Yeschin; Ava John-Baptiste
Journal:  BMJ Open       Date:  2021-03-04       Impact factor: 2.692

4.  Predictors of clinical outcome following transcatheter aortic valve implantation: a prospective cohort study.

Authors:  Lauren Dautzenberg; Judith E M Pals; Geert J Lefeber; Pieter R Stella; Masieh Abawi; Marielle Emmelot-Vonk; Huiberdina L Koek
Journal:  Open Heart       Date:  2021-09

Review 5.  The safety of exercise for older patients with severe aortic stenosis undergoing conservative management: A narrative review.

Authors:  Satoshi Nashimoto; Tatsuro Inoue; Kazuki Hotta; Yuichi Sugito; Susumu Iida; Atsuhiro Tsubaki
Journal:  Physiol Rep       Date:  2022-04

6.  Frailty in patients undergoing transcatheter aortic valve replacement: from risk scores to frailty-based management.

Authors:  Andreas Tzoumas; Damianos G Kokkinidis; Stefanos Giannopoulos; George Giannakoulas; Leonidas Palaiodimos; Dimitrios V Avgerinos; Polydoros N Kampaktsis; Robert T Faillace
Journal:  J Geriatr Cardiol       Date:  2021-06-28       Impact factor: 3.327

7.  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

8.  A Novel Method to Predict Mortality and Length of Stay after Transfemoral Transcatheter Aortic Valve Implantation.

Authors:  Maria Zisiopoulou; Alexander Berkowitsch; Philipp Seppelt; Andreas M Zeiher; Mariuca Vasa-Nicotera
Journal:  Medicina (Kaunas)       Date:  2021-12-06       Impact factor: 2.430

9.  Personalized Preoperative Prediction of the Length of Hospital Stay after TAVI Using a Dedicated Decision Tree Algorithm.

Authors:  Maria Zisiopoulou; Alexander Berkowitsch; Ralf Neuber; Haralampos Gouveris; Stephan Fichtlscherer; Thomas Walther; Mariuca Vasa-Nicotera; Philipp Seppelt
Journal:  J Pers Med       Date:  2022-02-24
  9 in total

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