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使用可穿戴贴片传感器对肥胖患者进行连续生命体征监测:临床环境中的验证研究。

Continuous vital sign monitoring using a wearable patch sensor in obese patients: a validation study in a clinical setting.

机构信息

Department of Anesthesiology and Pain Management, Rijnstate Hospital, Arnhem, The Netherlands.

Scientific Bureau, Rijnstate Hospital, Rijnstate Research Center, Wagnerlaan 55, PO Box 9555, 6800 TA, Arnhem, The Netherlands.

出版信息

J Clin Monit Comput. 2022 Oct;36(5):1449-1459. doi: 10.1007/s10877-021-00785-y. Epub 2021 Dec 8.

Abstract

Our aim was to determine the agreement of heart rate (HR) and respiratory rate (RR) measurements by the Philips Biosensor with a reference monitor (General Electric Carescape B650) in severely obese patients during and after bariatric surgery. Additionally, sensor reliability was assessed. Ninety-four severely obese patients were monitored with both the Biosensor and reference monitor during and after bariatric surgery. Agreement was defined as the mean absolute difference between both monitoring devices. Bland Altman plots and Clarke Error Grid analysis (CEG) were used to visualise differences. Sensor reliability was reflected by the amount, duration and causes of data loss. The mean absolute difference for HR was 1.26 beats per minute (bpm) (SD 0.84) during surgery and 1.84 bpm (SD 1.22) during recovery, and never exceeded the 8 bpm limit of agreement. The mean absolute difference for RR was 1.78 breaths per minute (brpm) (SD 1.90) during surgery and 4.24 brpm (SD 2.75) during recovery. The Biosensor's RR measurements exceeded the 2 brpm limit of agreement in 58% of the compared measurements. Averaging 15 min of measurements for both devices improved agreement. CEG showed that 99% of averaged RR measurements resulted in adequate treatment. Data loss was limited to 4.5% of the total duration of measurements for RR. No clear causes for data loss were found. The Biosensor is suitable for remote monitoring of HR, but not RR in morbidly obese patients. Future research should focus on improving RR measurements, the interpretation of continuous data, and development of smart alarm systems.

摘要

我们的目的是确定在肥胖症患者接受减重手术后,心率(HR)和呼吸率(RR)测量值在飞利浦生物传感器与参考监测仪(通用电气 CareScape B650)之间的一致性。此外,还评估了传感器的可靠性。94 名肥胖症患者在接受减重手术期间和之后都同时使用生物传感器和参考监测仪进行监测。一致性定义为两个监测设备之间的平均绝对差异。Bland-Altman 图和 Clarke 误差网格分析(CEG)用于直观显示差异。通过数据丢失的数量、持续时间和原因来反映传感器的可靠性。手术期间 HR 的平均绝对差异为 1.26 次/分钟(bpm)(SD 0.84),恢复期间为 1.84 bpm(SD 1.22),从未超过 8 bpm 的一致性限制。RR 的平均绝对差异为手术期间 1.78 次/分钟(brpm)(SD 1.90),恢复期间为 4.24 brpm(SD 2.75)。在比较的测量值中,生物传感器的 RR 测量值有 58%超过了 2 bpm 的一致性限制。对两个设备的测量值进行平均 15 分钟可提高一致性。CEG 显示,平均 RR 测量值的 99%可得出适当的治疗结果。RR 数据丢失仅限于测量总持续时间的 4.5%。未发现数据丢失的明确原因。生物传感器适合对病态肥胖患者进行 HR 的远程监测,但不适合 RR。未来的研究应集中在改善 RR 测量、连续数据的解释以及智能报警系统的开发上。

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