The impact of age on comparative diagnostic accuracy of temporal artery thermometers and non-contact infrared thermometers for fever detection: a systematic review and meta-analysis.

IF 3.4 3区 医学 Q2 INFECTIOUS DISEASES
Kwo-Chen Lee, Yun-Ping Lin, Ya-Ling Tzeng, Wen-Chun Liao, Chyi Lo, Pei-Yun Chen, Shu-Hua Lu
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引用次数: 0

Abstract

Background: Non-invasive temporal artery thermometers (TATs) and non-contact infrared thermometers (NCITs) are increasingly used in community settings to measure body temperature. Existing research predominantly focuses on pediatric populations, yet the accuracy and precision of TATs and NCITs for fever screening across age groups remain unclear. This study aims to assess age-related differences in the diagnostic accuracy of TATs and NCITs for fever detection.

Methods: A systematic review and meta-analysis were conducted, sourcing data from PubMed, MEDLINE, CINAHL, EMBASE, Cochrane Library, ProQuest, and Web of Science. Prospective studies comparing TATs and NCITs against body temperature measurement methods were included. Two independent researchers extracted data, and study quality was assessed with the QUADAS-2 tool. Pooled estimates of sensitivity, specificity, and the hierarchical summary area under the receiver operating characteristic (ROC) curves were calculated using STATA version 17.

Results: This meta-analysis included 34 studies with 28,996 participants, of whom 5,358 were febrile. For TATs, 22 studies with 9,894 readings yielded a pooled sensitivity of 0.59 (95% CI: 0.40-0.76) and specificity of 0.91 (95% CI: 0.83-0.96). Sensitivity was higher at fever thresholds > 38 °C (0.71, 95% CI: 0.60-0.80), and higher in children (0.77, 95% CI: 0.66-0.85) than in adults (0.48, 95% CI: 0.30-0.67). Similar sensitivities were observed between rectal and other standards (0.70, 95% CI: 0.59-0.80 vs. 0.70, 95% CI: 0.41-0.89). For NCITs, 16 studies with 14,234 readings yielded a pooled sensitivity of 0.70 (95% CI: 0.54-0.82) and specificity of 0.94 (95% CI: 0.90-0.97). Sensitivity improved at fever thresholds > 38 °C (from 0.70 to 0.75, 95% CI: 0.55-0.88) and was higher in children compared to the overall estimate (0.79 vs. 0.70, 95% CI: 0.62-0.90). Comparable sensitivities were noted between axillary and other standards (0.73, 95% CI: 0.30-0.94 vs. 0.75, 95% CI: 0.49-0.90).

Conclusions: TATs and NCITs show variable diagnostic accuracy across age groups, with higher sensitivity in children and at elevated fever thresholds. This variability underscores the importance of age-specific use of these thermometers and highlights the need for further research to optimize diagnostic performance across populations.

年龄对颞动脉体温计和非接触式红外体温计发热检测诊断准确性的影响:一项系统综述和荟萃分析。
背景:非侵入性颞动脉体温计(TATs)和非接触式红外体温计(NCITs)越来越多地用于社区环境中测量体温。现有的研究主要集中在儿科人群,然而TATs和NCITs在各年龄组发烧筛查中的准确性和精确性尚不清楚。本研究旨在评估TATs和NCITs在发热检测诊断准确性方面的年龄相关差异。方法:对PubMed、MEDLINE、CINAHL、EMBASE、Cochrane Library、ProQuest和Web of Science进行系统综述和meta分析。纳入了比较TATs和NCITs与体温测量方法的前瞻性研究。两名独立研究人员提取数据,并使用QUADAS-2工具评估研究质量。使用STATA version 17计算敏感性、特异性和受试者工作特征(ROC)曲线下的分层汇总面积的汇总估计。结果:本荟萃分析包括34项研究,28,996名参与者,其中5,358人发烧。对于TATs, 22项研究共9894个读数,总灵敏度为0.59 (95% CI: 0.40-0.76),特异性为0.91 (95% CI: 0.83-0.96)。发热阈值bb0 - 38°C时敏感性较高(0.71,95% CI: 0.60-0.80),儿童(0.77,95% CI: 0.66-0.85)高于成人(0.48,95% CI: 0.30-0.67)。在直肠和其他标准之间观察到相似的敏感性(0.70,95% CI: 0.59-0.80 vs. 0.70, 95% CI: 0.41-0.89)。对于ncit, 16项研究的14,234个读数的总灵敏度为0.70 (95% CI: 0.54-0.82),特异性为0.94 (95% CI: 0.90-0.97)。在发热阈值bb0 - 38°C时,敏感性有所提高(从0.70到0.75,95% CI: 0.55-0.88),儿童的敏感性高于总体估计值(0.79 vs. 0.70, 95% CI: 0.62-0.90)。腋窝和其他标准的敏感性比较(0.73,95% CI: 0.30-0.94 vs. 0.75, 95% CI: 0.49-0.90)。结论:TATs和NCITs在不同年龄组的诊断准确性各不相同,对儿童和发热阈值升高的诊断敏感性更高。这种可变性强调了根据年龄使用这些体温计的重要性,并强调了进一步研究以优化人群诊断性能的必要性。
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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来源期刊
BMC Infectious Diseases
BMC Infectious Diseases 医学-传染病学
CiteScore
6.50
自引率
0.00%
发文量
860
审稿时长
3.3 months
期刊介绍: BMC Infectious Diseases is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of infectious and sexually transmitted diseases in humans, as well as related molecular genetics, pathophysiology, and epidemiology.
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