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优化检查时间和诊断性能,从而改善糖尿病中由组胺诱导的轴突反射爆发反应
Johan Røikjer1,2, Suganthiya Santhiapillai Croosu1,3, Mette Krabsmark Borbjerg1,2
1Steno Diabetes Center North Denmark, Aalborg University Hospital, Aalborg, Denmark.
Muscle & nerve
|June 29, 2023
概括
通过激光多普勒成像评估的组胺诱导发烧区域大小,与传统测试相比,为诊断糖尿病外围神经病变 (DPN) 提供了更快,更准确的方法.
科学领域:
- 神经科学是一个神经科学.
- 糖尿病学 糖尿病学
- 医学诊断 医学诊断 医学诊断
背景情况:
- 轴突反射爆发反应是评估糖尿病外围神经病变 (DPN) 中小纤维功能的验证方法.
- 目前广泛采用的局限性源于评估的时间密集性.
- 优化评估持续时间对于提高临床效用至关重要.
研究的目的:
- 为了评估在DPN. histamine诱导的爆发反应的诊断性能.
- 为了确定准确评估火焰反应所需的最低时间.
- 为了将爆发反应参数与已建立的DPN诊断标记相关联.
主要方法:
- 纳入了60名患有1型糖尿病的参与者,有或没有DPN.
- 进行了定量感官测试 (QST),角膜共聚焦显微镜 (CCM) 和激光多普勒成像 (FLPI) 的基因组胺诱导的爆发.
- 爆发参数 (强度和面积) 被分分钟测量了15分钟;使用曲线下的面积 (AUC) 评估诊断性能.
主要成果:
- 与爆发强度,CCM (AUC 0.77),和QST (AUC 0.81) 相比,爆发面积大小显示出更高的诊断性能 (AUC 0.91).
- 区分DPN和非DPN组是在4分钟后使用火焰面积大小实现的,而火焰强度是6分钟.
- 诊断性能与全面检查相提并论,在6-7分钟后达到发烧区域大小.
结论:
- 使用激光多普勒成像评估的耀斑区域大小,为DPN提供了快速有效的诊断工具.
- 针对火焰区域大小的优化评估时间为6-7分钟,显著提高了诊断准确性和效率.
- 这种优化的方法提供了一个切实可行的替代方案,以更长时间建立的DPN诊断程序.
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