PDF(Pubmed)
Abstract：
Introduction: Body temperature is essential for diagnosing, managing, and following multiple medical conditions. There are several methods and devices to measure body temperature, but most do not allow continuous and prolonged measurement of body temperature. Noninvasive skin temperature sensor combined with a heat flux sensor, also known as the \"double sensor\" technique, is becoming a valuable and simple method for frequently monitoring body temperature. Methods: Body temperature measurements using the \"double sensor\" method in a wearable monitoring device were compared with oral and core body temperature measurements using medical grade thermometers, analyzing data from two prospective clinical trials of different clinical scenarios. One study included 45 hospitalized COVID-19 patients in which oral measurements were taken using a hand-held device, and the second included 18 post-cardiac surgery patients in which rectal measurements were taken using a rectal probe. Results: In study 1, Bland-Altman analysis showed a bias of -0.04°C [0.34-(-0.43)°C, 95% LOA] with a correlation of 99.4% (p < 0.001). In study 2, Bland-Altman analysis showed a bias of 0.0°C [0.27-(-0.28)°C, 95% LOA], and the correlation was 99.3% (p < 0.001). In both studies, stratifying patients based on BMI and skin tone showed high accordance in all sub-groups. Discussion: The wearable monitor showed high correlation with oral and core body temperature measurements in different clinical scenarios.
摘要：
简介：体温对诊断至关重要，管理,并遵循多种医疗条件。有几种测量体温的方法和装置，但大多数不允许连续和长时间测量体温。无创皮肤温度传感器结合热通量传感器，也被称为“双传感器”技术，正在成为经常监测体温的一种有价值且简单的方法。方法：在可穿戴监测设备中使用“双传感器”方法进行的体温测量与使用医疗级温度计进行的口腔和核心体温测量进行了比较，分析来自两个不同临床情景的前瞻性临床试验的数据。一项研究包括45名住院的COVID-19患者，他们使用手持设备进行口腔测量，第二例包括18例心脏手术后患者，其中使用直肠探头进行直肠测量。结果：在研究1中，Bland-Altman分析显示-0.04°C[0.34-（-0.43）°C，95%LOA]与99.4%的相关性(p<0.001)。在研究2中，Bland-Altman分析显示偏差为0.0°C[0.27-（-0.28）°C，95%LOA]，相关性为99.3%(p<0.001)。在两项研究中，在所有亚组中,根据BMI和肤色对患者进行分层显示出较高的一致性.讨论：在不同的临床情况下，可穿戴监护仪与口腔和核心体温测量结果高度相关。
