Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease

被引:14
|
作者
Schubert, Charlotte [1 ,2 ]
Archer, Gareth [3 ]
Zelis, Jo M. [4 ]
Nordmeyer, Sarah [1 ]
Runte, Kilian [1 ]
Hennemuth, Anja [1 ,5 ]
Berger, Felix [2 ,5 ]
Falk, Volkmar [5 ,6 ,7 ,8 ]
Tonino, Pim A. L. [4 ]
Hose, Rod [3 ]
ter Horst, Herman [9 ]
Kuehne, Titus [1 ,2 ,5 ]
Kelm, Marcus [1 ,2 ,10 ]
机构
[1] Charite Univ Med Berlin, Inst Imaging Sci & Computat Modelling Cardiovasc, D-13353 Berlin, Germany
[2] German Heart Ctr Berlin, Dept Congenital Heart Dis, D-13353 Berlin, Germany
[3] Sheffield Teaching Hosp NHS Fdn Trust, Cardiothorac Ctr, Sheffield S5 7AT, S Yorkshire, England
[4] Catharina Hosp, Dept Cardiol, NL-5602 ZA Eindhoven, Netherlands
[5] DZHK German Ctr Cardiovasc Res, Partner Site Berlin, D-10785 Berlin, Germany
[6] German Heart Ctr Berlin, Dept Cardiothorac & Vasc Surg, D-13353 Berlin, Germany
[7] Charite Univ Med Berlin, Dept Cardiovasc Surg, D-13353 Berlin, Germany
[8] Swiss Fed Inst Technol, Dept Hlth Sci & Technol, CH-8092 Zurich, Switzerland
[9] Philips Elect Nederland BV, Dept Chron Dis Management, NL-5656 AE Eindhoven, Netherlands
[10] Berlin Inst Hlth BIH, D-10178 Berlin, Germany
基金
欧盟地平线“2020”;
关键词
SEVERE AORTIC-STENOSIS; PHYSICAL-ACTIVITY; ATRIAL-FIBRILLATION; SEDENTARY BEHAVIOR; TEST DISTANCE; CHALLENGES; MANAGEMENT; CAPACITY; FAILURE; STROKE;
D O I
10.1038/s41746-020-0299-2
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Wrist-worn devices with heart rate monitoring have become increasingly popular. Although current guidelines advise to consider clinical symptoms and exercise tolerance during decision-making in heart disease, it remains unknown to which extent wearables can help to determine such functional capacity measures. In clinical settings, the 6-minute walk test has become a standardized diagnostic and prognostic marker. We aimed to explore, whether 6-minute walk distances can be predicted by wrist-worn devices in patients with different stages of mitral and aortic valve disease. A total ofn = 107 sensor datasets with 1,019,748 min of recordings were analysed. Based on heart rate recordings and literature information, activity levels were determined and compared to results from a 6-minute walk test. The percentage of time spent in moderate activity was a predictor for the achievement of gender, age and body mass index-specific 6-minute walk distances (p < 0.001;R-2 = 0.48). The uncertainty of these predictions is demonstrated.
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页数:9
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