Utility of photoplethysmography in detecting elevated blood glucose among non-diabetics.

Seng Bin Ang, Mei Tuan Chua, Bohan Shi, Su Hui Cheri Chan, Chiew Suan Kathy Liaw, Satvinder Singh Dhaliwal
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Abstract

Introduction: This study aimed to evaluate a technique of using photoplethysmography (PPG) for detecting elevated blood glucose in individuals.

Method: This is a prospective, cross-sectional study in which 500 healthy volunteers were recruited at a tertiary hospital in Singapore from October 2021 to February 2023. Capillary glucose was measured concurrently with PPG signals acquired using the wrist-worn Actxa Tracker (Spark + Series 2) and the In-Ear Prototype model SVT, which were worn for a duration of 8 min. Participants with a capillary blood test reading ≤11.1 mmol/dL had to consume a standard glucose tolerance drink and return 1 h later for a second capillary blood test. Two hundred and forty-four features were subsequently extracted from the PPG signals.

Results: Of the 500 volunteers, 17 were excluded because of incomplete records. This led to a total of 483 participants' records being included in the final analysis. For predicting elevated capillary blood glucose level, demographics alone achieved an area under the curve (AUC) of 0.75. When wearable features derived from PPG were combined with demographics, AUC improved significantly to 0.82 (P = 0.0001).

Conclusion: This study shows that a non-invasive method of assessing diabetes mellitus risk using PPG combined with demographics is a viable option to provide a cheaper and more accessible modality for population-wide diabetes mellitus risk assessment.

光敏血糖仪在检测非糖尿病患者血糖升高方面的实用性。
简介本研究旨在评估一种使用光敏血糖仪(PPG)检测个人血糖升高的技术:这是一项前瞻性横断面研究,从 2021 年 10 月至 2023 年 2 月在新加坡的一家三级医院招募了 500 名健康志愿者。在测量毛细血管血糖的同时,使用腕戴式 Actxa 追踪器(Spark + Series 2)和入耳式原型 SVT 获取 PPG 信号,佩戴时间为 8 分钟。毛细血管血液测试读数≤11.1 mmol/dL 的参与者必须饮用标准葡萄糖耐量饮料,并在 1 小时后返回进行第二次毛细血管血液测试。随后从 PPG 信号中提取了 244 个特征:结果:在 500 名志愿者中,有 17 人因记录不完整而被排除在外。结果:在 500 名志愿者中,有 17 人因记录不完整而被排除,因此共有 483 人的记录被纳入最终分析。在预测毛细血管血糖水平升高方面,仅人口统计学指标的曲线下面积(AUC)就达到了 0.75。当从 PPG 导出的可穿戴特征与人口统计数据相结合时,AUC 显著提高到 0.82(P = 0.0001):这项研究表明,使用 PPG 结合人口统计学数据进行糖尿病风险评估的无创方法是一种可行的选择,可为全人群糖尿病风险评估提供更便宜、更易获得的模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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