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在 COVID-19 期间使用非接触式红外体温计的最佳诊断发热阈值。

Optimal diagnostic fever thresholds using non-contact infrared thermometers under COVID-19.

机构信息

Obstetrics Department, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.

Psychiatry Department, The Fourth People's Hospital of Chengdu, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.

出版信息

Front Public Health. 2022 Nov 24;10:985553. doi: 10.3389/fpubh.2022.985553. eCollection 2022.

Abstract

Fever screening is an effective method to detect infectors associated with different variants of coronavirus disease 2019 (COVID-19) based on the fact that most infectors with COVID-19 have fever symptoms. Non-contact infrared thermometers (NCITs) are widely used in fever screening. Nevertheless, authoritative data is lacking in defining "fever" at different body surface sites when using NCITs. The purpose of this study was to determine the optimal diagnostic threshold for fever screening using NICTs at different body surface sites, to improve the accuracy of fever screening and provide theoretical reference for healthcare policy. Participants ( = 1860) who were outpatients or emergency patients at Chengdu Women's and Children's Central Hospital were recruited for this prospective investigation from March 1 to June 30, 2021. NCITs and mercury axillary thermometers were used to measure neck, temple, forehead and wrist temperatures of all participants. Receiver operating characteristic curves were used to reflect the accuracy of NCITs. Linear correlation analysis was used to show the effect of age on body temperature. Multilinear regression analysis was used to explore the association between non-febrile participant's covariates and neck temperature. The mean age of participants was 3.45 ± 2.85 years for children and 28.56 ± 7.25 years for adults. In addition 1,304 (70.1%) participants were children (≤12), and 683 (36.7%) were male. The neck temperature exhibited the highest accuracy among the four sites. Further the optimal fever diagnostic thresholds of NCITs at the four body surface measurement sites were neck (36.75 °C, sensitivity: 0.993, specificity: 0.858); temple (36.55 °C, sensitivity: 0.974, specificity: 0.874); forehead (36.45 °C, sensitivity: 0.961, specificity: 0.813); and wrist (36.15 °C, sensitivity: 0.951, specificity: 0.434). Based on the findings of our study, we recommend 36.15, 36.45, 36.55, and 36.75 °C as the diagnostic thresholds of fever at the wrist, forehead, temple and neck, respectively. Among the four surface sites, neck temperature exhibited the highest accuracy.

摘要

发热筛查是一种有效的方法,可根据大多数 COVID-19 感染者有发热症状的事实,检测出与不同变异株相关的感染者。非接触式红外体温计(NCIT)在发热筛查中得到了广泛应用。然而,在使用 NCIT 时,在不同的体表部位定义“发热”缺乏权威数据。本研究旨在确定不同体表部位使用 NCIT 筛查发热的最佳诊断阈值,以提高发热筛查的准确性,为医疗保健政策提供理论参考。2021 年 3 月 1 日至 6 月 30 日,我们对成都妇女儿童中心医院的门诊或急诊患者进行了这项前瞻性研究,共招募了 1860 名参与者。使用 NCIT 和水银腋温计测量所有参与者的颈部、颞部、额部和腕部温度。受试者工作特征曲线反映 NCIT 的准确性。线性相关分析显示年龄对体温的影响。多元线性回归分析探讨了非发热参与者的协变量与颈部温度之间的关系。参与者的平均年龄为儿童 3.45±2.85 岁,成人 28.56±7.25 岁。此外,1304 名(70.1%)参与者为儿童(≤12 岁),683 名(36.7%)为男性。颈部温度在四个部位中具有最高的准确性。此外,四个体表测量部位的 NCIT 发热诊断最佳阈值分别为颈部(36.75°C,灵敏度:0.993,特异性:0.858);颞部(36.55°C,灵敏度:0.974,特异性:0.874);额部(36.45°C,灵敏度:0.961,特异性:0.813);和手腕(36.15°C,灵敏度:0.951,特异性:0.434)。基于我们的研究结果,我们建议将 36.15、36.45、36.55 和 36.75°C 分别作为手腕、额部、颞部和颈部发热的诊断阈值。在这四个体表部位中,颈部温度的准确性最高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33de/9730337/152ca44a86a5/fpubh-10-985553-g0001.jpg

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