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通过动态建模皮质醇运输动力学的汗水分析进行非侵入性血液皮质醇估计
Xiaoyu Yin1, Sophie Adelaars1,2, Elisabetta Peri1
1Department of Electrical Engineering, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands.
Sensors (Basel, Switzerland)
|August 14, 2025
概括
一个新的动力模型准确地估计出汗中的血液皮质醇,提供一种非侵入性的方法来监测皮质醇水平. 这一突破支持针对皮质醇失调的个性化健康评估和临床决策.
科学领域:
- 内分泌学 在内分泌学.
- 生物医学工程 生物医学工程
- 生理监测 生理监测
背景情况:
- 皮质醇失调与库辛综合征和压力障碍有关,影响代谢健康和福祉.
- 目前基于汗水的皮质醇监测受到中度血汗相关性 (R<0.6) 的限制,阻碍了临床使用.
- 对皮质醇的非侵入性监测对于管理各种健康状况至关重要.
研究的目的:
- 开发和验证一种新的动力模型,用于从汗水皮质醇测量中估计血液皮质醇度.
- 使用汗液感应技术提高非侵入性皮质醇监测的准确性.
- 为了实现个性化的生理参数估计,用于临床决策.
主要方法:
- 开发了一种模拟皮质醇从血液到汗水的运输动态的动力学模型.
- 通过44名心脏手术后患者的汗水和血液皮质醇数据验证了该模型.
- 评估了模型估计和实验测量血液皮质醇度之间的相关性.
主要成果:
- 在估计和实验血液皮质醇之间达到0.95 (95% CI:0.92-0.97) 的高皮尔森相关系数.
- 该模型准确地反映了不同临床条件下的患者的生理状态.
- 证明了对生理参数的个性化估计.
结论:
- 这种新型的动力模型提供了一个非常准确的,非侵入性的方法来估计汗水中的血液皮质醇.
- 这项技术有助于长期监测皮质醇,这对于皮质醇失调的情况至关重要.
- 个性化生理参数估计支持临床决策在管理内分泌疾病.
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