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Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease.
npj Digital Medicine ( IF 12.4 ) Pub Date : 2020-07-09 , DOI: 10.1038/s41746-020-0299-2
Charlotte Schubert 1, 2 , Gareth Archer 3 , Jo M Zelis 4 , Sarah Nordmeyer 1 , Kilian Runte 1 , Anja Hennemuth 1, 5 , Felix Berger 2, 5 , Volkmar Falk 5, 6, 7, 8 , Pim A L Tonino 4 , Rod Hose 3 , Herman Ter Horst 9 , Titus Kuehne 1, 2, 5 , Marcus Kelm 1, 2, 10
Affiliation  

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 of n = 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; R2 = 0.48). The uncertainty of these predictions is demonstrated.



中文翻译:

可穿戴设备可以预测心脏病标准化 6 分钟步行测试的结果。

带心率监测功能的腕戴式设备变得越来越流行。尽管目前的指南建议在心脏病决策过程中考虑临床症状和运动耐量,但可穿戴设备在多大程度上可以帮助确定此类功能能力测量仍不清楚。在临床环境中,6 分钟步行测试已成为标准化的诊断和预后标志。我们的目的是探索腕戴式设备是否可以预测不同阶段的二尖瓣和主动脉瓣疾病患者的 6 分钟步行距离。总共分析了n  = 107 个传感器数据集和 1,019,748 分钟的记录。根据心率记录和文献信息,确定活动水平并与 6 分钟步行测试的结果进行比较。进行中等活动所花费的时间百分比是实现性别、年龄和体重指数特定 6 分钟步行距离的预测指标 ( p  < 0.001;R 2  = 0.48)。这些预测的不确定性得到了证明。

更新日期:2020-07-09
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