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

• Published in: JMIR mHealth and uHealth 2024-06, Vol.12, p.e53964-e53964
• Main Authors: Eerdekens, Rob, Zelis, Jo, Ter Horst, Herman, Crooijmans, Caia, van 't Veer, Marcel, Keulards, Danielle, Kelm, Marcus, Archer, Gareth, Kuehne, Titus, Brueren, Guus, Wijnbergen, Inge, Johnson, Nils, Tonino, Pim
• Format: Article
• Language: English
• Subjects: Aged; Aged, 80 and over; Aortic stenosis; Aortic Valve Stenosis - surgery; Cardiology; Computer-Aided Diagnosis; Decision Support for Health Professionals; Energy; Exercise; Female; Heart rate; Hemodynamics; Hospitals; Humans; Male; Methods and Instruments in Medical Informatics; mHealth for Symptom and Disease Monitoring, Chronic Disease Management; mHealth for Telemedicine and Homecare; Novel Sensors and Data Acquisition Methods in Cardiology; Original Paper; Outpatient care facilities; Patients; Physiology; Prospective Studies; Quality of Life - psychology; Questionnaires; Respiration; Surveys and Questionnaires; Transcatheter Aortic Valve Replacement - adverse effects; Transcatheter Aortic Valve Replacement - instrumentation; Transcatheter Aortic Valve Replacement - methods; Transcatheter Aortic Valve Replacement - statistics & numerical data; Wearable computers; Wearable Devices and Sensors; Wearable Electronic Devices - standards; Wearable Electronic Devices - statistics & numerical data
• ISSN: 2291-5222; 2291-5222
• DOI: 10.2196/53964

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. 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. 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. 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. 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.