@文章{信息:doi/10.2196/35796，作者=“Rissanen, Antti-Pekka E和Rottensteiner, Mirva和Kujala, Urho M和Kurkela, Jari L O和Wikgren, Jan和Laukkanen, Jari A”，标题=“基于心率和身体加速度的心血管危险因素成人心肺健康评估:验证研究”，期刊=“JMIR Cardio”，年=“2022”，月=“10月”，日=“25”，量=“6”，数=“2”，页=“e35796”，关键词=“心肺运动测试;心肺功能;心率变异性;高血压;2型糖尿病;背景:心肺适能(CRF)是心血管发病率和死亡率的独立危险因素。将CRF添加到常规危险因素(如吸烟、高血压、糖代谢障碍和血脂异常)中，可以改善对个人不良健康结果(如与心血管疾病相关的不良健康结果)风险的预测。因此，建议将确定CRF作为个体化风险预测的一部分。然而，在日常临床实践中，CRF并不是常规测定的。可穿戴技术为每天评估CRF提供了一种潜在的策略，这种基于心率和身体加速度提供CRF估计的技术已经被开发出来。 However, the validity of such technologies in estimating individual CRF in clinically relevant populations is poorly known. Objective: The objective of this study is to evaluate the validity of a wearable technology, which provides estimated CRF based on heart rate and body acceleration, in working-aged adults with cardiovascular risk factors. Methods: In total, 74 adults (age range 35-64 years; n=56, 76{\%} were women; mean BMI 28.7, SD 4.6 kg/m2) with frequent cardiovascular risk factors (eg, n=64, 86{\%} hypertension; n=18, 24{\%} prediabetes; n=14, 19{\%} type 2 diabetes; and n=51, 69{\%} metabolic syndrome) performed a 30-minute self-paced walk on an indoor track and a cardiopulmonary exercise test on a treadmill. CRF, quantified as peak O2 uptake, was both estimated (self-paced walk: a wearable single-lead electrocardiogram device worn to record continuous beat-to-beat R-R intervals and triaxial body acceleration) and measured (cardiopulmonary exercise test: ventilatory gas analysis). The accuracy of the estimated CRF was evaluated against that of the measured CRF. Results: Measured CRF averaged 30.6 (SD 6.3; range 20.1-49.6) mL/kg/min. In all participants (74/74, 100{\%}), mean difference between estimated and measured CRF was −0.1 mL/kg/min (P=.90), mean absolute error was 3.1 mL/kg/min (95{\%} CI 2.6-3.7), mean absolute percentage error was 10.4{\%} (95{\%} CI 8.5-12.5), and intraclass correlation coefficient was 0.88 (95{\%} CI 0.80-0.92). Similar accuracy was observed in various subgroups (sexes, age, BMI categories, hypertension, prediabetes, and metabolic syndrome). However, mean absolute error was 4.2 mL/kg/min (95{\%} CI 2.6-6.1) and mean absolute percentage error was 16.5{\%} (95{\%} CI 8.6-24.4) in the subgroup of patients with type 2 diabetes (14/74, 19{\%}). Conclusions: The error of the CRF estimate, provided by the wearable technology, was likely below or at least very close to the clinically significant level of 3.5 mL/kg/min in working-aged adults with cardiovascular risk factors, but not in the relatively small subgroup of patients with type 2 diabetes. From a large-scale clinical perspective, the findings suggest that wearable technologies have the potential to estimate individual CRF with acceptable accuracy in clinically relevant populations. ", issn="2561-1011", doi="10.2196/35796", url="https://cardio.www.mybigtv.com/2022/2/e35796", url="https://doi.org/10.2196/35796", url="http://www.ncbi.nlm.nih.gov/pubmed/36282560" }