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Fitness-Tracker Assisted Frailty-Assessment Before Transcatheter Aortic Valve Implantation: Proof-of-Concept Study

BACKGROUND: While transcatheter aortic valve replacement (TAVR) has revolutionized the treatment of aortic valve stenosis, wearable health-monitoring devices are gradually transforming digital patient care. OBJECTIVE: The aim of this study was to develop a simple, efficient, and economical method fo...

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Autores principales: Mach, Markus, Watzal, Victoria, Hasan, Waseem, Andreas, Martin, Winkler, Bernhard, Weiss, Gabriel, Strouhal, Andreas, Adlbrecht, Christopher, Delle Karth, Georg, Grabenwöger, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7596652/
https://www.ncbi.nlm.nih.gov/pubmed/33055057
http://dx.doi.org/10.2196/19227
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author Mach, Markus
Watzal, Victoria
Hasan, Waseem
Andreas, Martin
Winkler, Bernhard
Weiss, Gabriel
Strouhal, Andreas
Adlbrecht, Christopher
Delle Karth, Georg
Grabenwöger, Martin
author_facet Mach, Markus
Watzal, Victoria
Hasan, Waseem
Andreas, Martin
Winkler, Bernhard
Weiss, Gabriel
Strouhal, Andreas
Adlbrecht, Christopher
Delle Karth, Georg
Grabenwöger, Martin
author_sort Mach, Markus
collection PubMed
description BACKGROUND: While transcatheter aortic valve replacement (TAVR) has revolutionized the treatment of aortic valve stenosis, wearable health-monitoring devices are gradually transforming digital patient care. OBJECTIVE: The aim of this study was to develop a simple, efficient, and economical method for preprocedural frailty assessment based on parameters measured by a wearable health-monitoring device. METHODS: In this prospective study, we analyzed data of 50 consecutive patients with mean (SD) age of 77.5 (5.1) years and a median (IQR) European system for cardiac operative risk evaluation (EuroSCORE) II of 3.3 (4.1) undergoing either transfemoral or transapical TAVR between 2017 and 2018. Every patient was fitted with a wrist-worn health-monitoring device (Garmin Vivosmart 3) for 1 week prior to the procedure. Twenty different parameters were measured, and threshold levels for the 3 most predictive categories (ie, step count, heart rate, and preprocedural stress) were calculated. Patients were assigned 1 point per category for exceeding the cut-off value and were then classified into 4 stages (no, borderline, moderate, and severe frailty). Furthermore, the FItness-tracker assisted Frailty-Assessment Score (FIFA score) was compared with the scores of the preprocedural gait speed category derived from the 6-minute walk test (GSC-6MWT) and the Edmonton Frail Scale classification (EFS-C). The primary study endpoint was hospital mortality. RESULTS: The overall preprocedural stress level (P=.02), minutes of high stress per day (P=.02), minutes of rest per day (P=.045), and daily heart rate maximum (P=.048) as single parameters were the strongest predictors of hospital mortality. When comparing the different frailty scores, the FIFA score demonstrated the greatest predictive power for hospital mortality (FIFA area under the curve [AUC] 0.844, CI 0.656-1.000; P=.048; GSC-6MWT AUC 0.671, CI 0.487-0.855; P=.42; EFS-C AUC 0.636, CI 0.254-1.000; P=.44). CONCLUSIONS: This proof-of-concept study demonstrates the strong predictive performance of the FIFA score compared to that of the conventional frailty assessments.
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spelling pubmed-75966522020-11-02 Fitness-Tracker Assisted Frailty-Assessment Before Transcatheter Aortic Valve Implantation: Proof-of-Concept Study Mach, Markus Watzal, Victoria Hasan, Waseem Andreas, Martin Winkler, Bernhard Weiss, Gabriel Strouhal, Andreas Adlbrecht, Christopher Delle Karth, Georg Grabenwöger, Martin JMIR Mhealth Uhealth Original Paper BACKGROUND: While transcatheter aortic valve replacement (TAVR) has revolutionized the treatment of aortic valve stenosis, wearable health-monitoring devices are gradually transforming digital patient care. OBJECTIVE: The aim of this study was to develop a simple, efficient, and economical method for preprocedural frailty assessment based on parameters measured by a wearable health-monitoring device. METHODS: In this prospective study, we analyzed data of 50 consecutive patients with mean (SD) age of 77.5 (5.1) years and a median (IQR) European system for cardiac operative risk evaluation (EuroSCORE) II of 3.3 (4.1) undergoing either transfemoral or transapical TAVR between 2017 and 2018. Every patient was fitted with a wrist-worn health-monitoring device (Garmin Vivosmart 3) for 1 week prior to the procedure. Twenty different parameters were measured, and threshold levels for the 3 most predictive categories (ie, step count, heart rate, and preprocedural stress) were calculated. Patients were assigned 1 point per category for exceeding the cut-off value and were then classified into 4 stages (no, borderline, moderate, and severe frailty). Furthermore, the FItness-tracker assisted Frailty-Assessment Score (FIFA score) was compared with the scores of the preprocedural gait speed category derived from the 6-minute walk test (GSC-6MWT) and the Edmonton Frail Scale classification (EFS-C). The primary study endpoint was hospital mortality. RESULTS: The overall preprocedural stress level (P=.02), minutes of high stress per day (P=.02), minutes of rest per day (P=.045), and daily heart rate maximum (P=.048) as single parameters were the strongest predictors of hospital mortality. When comparing the different frailty scores, the FIFA score demonstrated the greatest predictive power for hospital mortality (FIFA area under the curve [AUC] 0.844, CI 0.656-1.000; P=.048; GSC-6MWT AUC 0.671, CI 0.487-0.855; P=.42; EFS-C AUC 0.636, CI 0.254-1.000; P=.44). CONCLUSIONS: This proof-of-concept study demonstrates the strong predictive performance of the FIFA score compared to that of the conventional frailty assessments. JMIR Publications 2020-10-15 /pmc/articles/PMC7596652/ /pubmed/33055057 http://dx.doi.org/10.2196/19227 Text en ©Markus Mach, Victoria Watzal, Waseem Hasan, Martin Andreas, Bernhard Winkler, Gabriel Weiss, Andreas Strouhal, Christopher Adlbrecht, Georg Delle Karth, Martin Grabenwöger. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 15.10.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Mach, Markus
Watzal, Victoria
Hasan, Waseem
Andreas, Martin
Winkler, Bernhard
Weiss, Gabriel
Strouhal, Andreas
Adlbrecht, Christopher
Delle Karth, Georg
Grabenwöger, Martin
Fitness-Tracker Assisted Frailty-Assessment Before Transcatheter Aortic Valve Implantation: Proof-of-Concept Study
title Fitness-Tracker Assisted Frailty-Assessment Before Transcatheter Aortic Valve Implantation: Proof-of-Concept Study
title_full Fitness-Tracker Assisted Frailty-Assessment Before Transcatheter Aortic Valve Implantation: Proof-of-Concept Study
title_fullStr Fitness-Tracker Assisted Frailty-Assessment Before Transcatheter Aortic Valve Implantation: Proof-of-Concept Study
title_full_unstemmed Fitness-Tracker Assisted Frailty-Assessment Before Transcatheter Aortic Valve Implantation: Proof-of-Concept Study
title_short Fitness-Tracker Assisted Frailty-Assessment Before Transcatheter Aortic Valve Implantation: Proof-of-Concept Study
title_sort fitness-tracker assisted frailty-assessment before transcatheter aortic valve implantation: proof-of-concept study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7596652/
https://www.ncbi.nlm.nih.gov/pubmed/33055057
http://dx.doi.org/10.2196/19227
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