Service of Anesthesiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Service of Nephrology and Hypertension, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Blood Press. 2022 Dec;31(1):288-296. doi: 10.1080/08037051.2022.2132214.
Obesity is a clear risk factor for hypertension. Blood pressure (BP) measurement in obese patients may be biased by cuff size and upper arm shape which may affect the accuracy of measurements. This study aimed to assess the accuracy of the OptiBP smartphone application for three different body mass index (BMI) categories (normal, overweight and obese).
Participants with a wide range of BP and BMI were recruited at Lausanne University Hospital's hypertension clinic in Switzerland. OptiBP estimated BP by recording an optical signal reflecting light from the participants' fingertips into a smartphone camera. Age, sex and BP distribution were collected to fulfil the AAMI/ESH/ISO universal standards. Both auscultatory BP references and OptiBP BP were measured and compared using the simultaneous opposite arms method, as described in the 81060-2:2018 ISO norm. Subgroup analyses were performed for each BMI category.
We analyzed 414 recordings from 95 patients: 34 were overweight and 15 were obese. The OptiBP application had a performance acceptance rate of 82%. The mean and standard deviation (SD) differences between the optical BP estimations and the auscultatory reference rates (criterion 1) were respected in all subgroups: SBP mean value was 2.08 (SD 7.58); 1.32 (6.44); -2.29 (5.62) respectively in obese, overweight and normal weight subgroup. For criterion 2, which investigates the precision errors on an individual level, the threshold for systolic BP in the obese group was slightly above the requirement for this criterion.
This study demonstrated that the OptiBP application is easily applicable to overweight and obese participants. Differences between the reference measure and the OptiBP estimation were within ISO limits (criterion 1). In obese participants, the SD of mean error was outside criterion 2 limits. Whether auscultatory measurement, due to arm morphology or the OptiBP is associated with increasing bias in obese still needs to be studied.
肥胖是高血压的明确危险因素。血压(BP)在肥胖患者中的测量可能会因袖带尺寸和上臂形状而产生偏差,这可能会影响测量的准确性。本研究旨在评估 OptiBP 智能手机应用在三种不同身体质量指数(BMI)类别(正常、超重和肥胖)中的准确性。
在瑞士洛桑大学医院的高血压诊所,招募了血压和 BMI 范围广泛的参与者。OptiBP 通过记录反映参与者指尖光信号的光学信号来估计 BP,该信号进入智能手机摄像头。收集年龄、性别和 BP 分布数据以满足 AAMI/ESH/ISO 通用标准。根据 81060-2:2018 ISO 标准中描述的同时对侧手臂方法,同时测量和比较听诊 BP 参考值和 OptiBP BP。对每个 BMI 类别进行亚组分析。
我们分析了 95 名患者的 414 份记录:34 名超重,15 名肥胖。OptiBP 应用程序的性能接受率为 82%。在所有亚组中,光学 BP 估计值与听诊参考值之间的均值和标准差(SD)差异(标准 1)都得到了尊重:SBP 的平均值分别为 2.08(SD7.58)、1.32(6.44)、-2.29(5.62),分别为肥胖、超重和正常体重亚组。对于标准 2,该标准在个体水平上调查精度误差,肥胖组的收缩压阈值略高于该标准的要求。
本研究表明,OptiBP 应用程序易于适用于超重和肥胖参与者。参考测量值与 OptiBP 估计值之间的差异在 ISO 范围内(标准 1)。在肥胖参与者中,平均误差的 SD 超出了标准 2 范围。听诊测量值由于手臂形态或 OptiBP 而导致肥胖患者的偏差增加,这仍需要进一步研究。