Evidence map›Paper›PMID 38832585›Full record

ArticleJMIR mHealth and uHealth2024

Cardiac Health Assessment Using a Wearable Device Before and After Transcatheter Aortic Valve Implantation: Prospective Study.

Rob Eerdekens, Jo Zelis, Herman Ter Horst, Caia Crooijmans, Marcel van 't Veer, Danielle Keulards, Marcus Kelm, Gareth Archer, Titus Kuehne, Guus Brueren and 3 more

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Rob EerdekensDepartment of Cardiology, Catharina Hospital Eindhoven, Eindhoven, Netherlands.ORCID 0000-0003-3585-0999
Jo ZelisDepartment of Cardiology, Catharina Hospital Eindhoven, Eindhoven, Netherlands.ORCID 0000-0003-2110-4901
Herman Ter HorstPhilips Research Department, Eindhoven, Netherlands.ORCID 0009-0006-7278-5363
Caia CrooijmansDepartment of Cardiology, RadboudUMC, Nijmegen, Netherlands.ORCID 0000-0002-9253-5154
Marcel van 't VeerDepartment of Cardiology, Catharina Hospital Eindhoven, Eindhoven, Netherlands.ORCID 0000-0002-5006-0111
Danielle KeulardsDepartment of Cardiology, Catharina Hospital Eindhoven, Eindhoven, Netherlands.ORCID 0000-0002-0913-4967
Marcus KelmDeutsches Herzzentrum der Charité, Institute of Computer-assisted Cardiovascular Medicine, Berlin, Germany.ORCID 0000-0003-4971-0452
Gareth ArcherDepartment of Cardiology, Sheffield Teaching Hospital, Sheffield, United Kingdom.ORCID 0000-0003-1801-7161
Titus KuehneDeutsches Herzzentrum der Charité, Institute of Computer-assisted Cardiovascular Medicine, Berlin, Germany.ORCID 0000-0003-1631-4824
Guus BruerenDepartment of Cardiology, Catharina Hospital Eindhoven, Eindhoven, Netherlands.ORCID 0009-0008-4947-8458
Inge WijnbergenDepartment of Cardiology, Catharina Hospital Eindhoven, Eindhoven, Netherlands.ORCID 0000-0003-2440-2795
Nils JohnsonWeatherhead PET Imaging Center for Preventing and Reversing Atherosclerosis, Houston, TX, United States.ORCID 0000-0002-0897-2301
Pim ToninoDepartment of Cardiology, Catharina Hospital Eindhoven, Eindhoven, Netherlands.ORCID 0000-0002-2099-5426

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Due to aging of the population, the prevalence of aortic valve stenosis will increase drastically in upcoming years. Consequently, transcatheter aortic valve implantation (TAVI) procedures will also expand worldwide. Optimal selection of patients who benefit with improved symptoms and prognoses is key, since TAVI is not without its risks. Currently, we are not able to adequately predict functional outcomes after TAVI. Quality of life measurement tools and traditional functional assessment tests do not always agree and can depend on factors unrelated to heart disease. Activity tracking using wearable devices might provide a more comprehensive assessment. Objective: This study aimed to identify objective parameters (eg, change in heart rate) associated with improvement after TAVI for severe aortic stenosis from a wearable device. Methods: In total, 100 patients undergoing routine TAVI wore a Philips Health Watch device for 1 week before and after the procedure. Watch data were analyzed offline-before TAVI for 97 patients and after TAVI for 75 patients. Results: Parameters such as the total number of steps and activity time did not change, in contrast to improvements in the 6-minute walking test (6MWT) and physical limitation domain of the transformed WHOQOL-BREF questionnaire. Conclusions: These findings, in an older TAVI population, show that watch-based parameters, such as the number of steps, do not change after TAVI, unlike traditional 6MWT and QoL assessments. Basic wearable device parameters might be less appropriate for measuring treatment effects from TAVI.

Indexed as

Transcatheter Aortic Valve ReplacementWearable Electronic DevicesAgedAged, 80 and overAortic Valve StenosisFemaleHumansMaleProspective StudiesQuality of LifeSurveys and Questionnaires6-minute walking test6MWTaorticaortic valve stenosiscardiaccardiologyhealth watchheartQoLquality of lifesmartwatchstenosistestvalvewalkingwatchwearablesWHOQOL-BREF

Identifiers

PMID38832585
PMCPMC11185971

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.