Literature DB >> 29471953

Improvement of Risk Prediction After Transcatheter Aortic Valve Replacement by Combining Frailty With Conventional Risk Scores.

Andreas W Schoenenberger1, André Moser2, Dominic Bertschi3, Peter Wenaweser4, Stephan Windecker4, Thierry Carrel5, Andreas E Stuck3, Stefan Stortecky4.   

Abstract

OBJECTIVES: This study sought to evaluate whether frailty improves mortality prediction in combination with the conventional scores.
BACKGROUND: European System for Cardiac Operative Risk Evaluation (EuroSCORE) or Society of Thoracic Surgeons (STS) score have not been evaluated in combined models with frailty for mortality prediction after transcatheter aortic valve replacement (TAVR).
METHODS: This prospective cohort comprised 330 consecutive TAVR patients ≥70 years of age. Conventional scores and a frailty index (based on assessment of cognition, mobility, nutrition, and activities of daily living) were evaluated to predict 1-year all-cause mortality using Cox proportional hazards regression (providing hazard ratios [HRs] with confidence intervals [CIs]) and measures of test performance (providing likelihood ratio [LR] chi-square test statistic and C-statistic [CS]).
RESULTS: All risk scores were predictive of the outcome (EuroSCORE, HR: 1.90 [95% CI: 1.45 to 2.48], LR chi-square test statistic 19.29, C-statistic 0.67; STS score, HR: 1.51 [95% CI: 1.21 to 1.88], LR chi-square test statistic 11.05, C-statistic 0.64; frailty index, HR: 3.29 [95% CI: 1.98 to 5.47], LR chi-square test statistic 22.28, C-statistic 0.66). A combination of the frailty index with either EuroSCORE (LR chi-square test statistic 38.27, C-statistic 0.72) or STS score (LR chi-square test statistic 28.71, C-statistic 0.68) improved mortality prediction. The frailty index accounted for 58.2% and 77.6% of the predictive information in the combined model with EuroSCORE and STS score, respectively. Net reclassification improvement and integrated discrimination improvement confirmed that the added frailty index improved risk prediction.
CONCLUSIONS: This is the first study showing that the assessment of frailty significantly enhances prediction of 1-year mortality after TAVR in combined risk models with conventional risk scores and relevantly contributes to this improvement.
Copyright © 2018 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  aortic valve stenosis; frailty; geriatric assessment; mortality; risk prediction

Mesh:

Year:  2018        PMID: 29471953     DOI: 10.1016/j.jcin.2017.11.012

Source DB:  PubMed          Journal:  JACC Cardiovasc Interv        ISSN: 1936-8798            Impact factor:   11.195


  14 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.  Does Heart Valve Team Risk Assessment Predict Outcomes after Transcatheter Aortic Valve Replacement?

Authors:  Michael A Catalano; Bruce Rutkin; Nina Kohn; Alan Hartman; Pey-Jen Yu
Journal:  Int J Angiol       Date:  2019-12-09

3.  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

4.  Sex Differences in the Impact of Aortic Valve Calcium Score on Mortality After Transcatheter Aortic Valve Replacement.

Authors:  Parth P Patel; Abdallah El Sabbagh; Patrick W Johnson; Rayan Suliman; Najiyah Salwa; Andrea Carolina Morales-Lara; Peter Pollak; Mohamad Yamani; Pragnesh Parikh; Sushilkumar K Sonavane; Carolyn Landolfo; Mohamad Adnan Alkhouli; Mackram F Eleid; Mayra Guerrero; F David Fortuin; John Sweeney; Peter A Noseworthy; Rickey E Carter; Demilade Adedinsewo
Journal:  Circ Cardiovasc Imaging       Date:  2022-08-03       Impact factor: 8.589

5.  The Utility of Psoas Muscle Assessment in Predicting Frailty in Patients Undergoing Transcatheter Aortic Valve Replacement.

Authors:  Louis Koizia; Mitesh Naik; George Peck; Ghada W Mikhail; Sayan Sen; Iqbal S Malik; Ben Ariff; Michael B Fertleman
Journal:  Curr Gerontol Geriatr Res       Date:  2020-06-28

6.  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

7.  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

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.  Evaluation of comprehensive geriatric assessment in older patients undergoing pacemaker implantation.

Authors:  Andreas W Schoenenberger; Ian Russi; Benjamin Berte; Vanessa Weberndörfer; Renate Schoenenberger-Berzins; Piotr Chodup; Remo Beeler; Florim Cuculi; Stefan Toggweiler; Richard Kobza
Journal:  BMC Geriatr       Date:  2020-08-12       Impact factor: 3.921

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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