脱氧趋势及其与自我报告的疲劳的多变体关联在后COVID综合征中
Anja-Maria Ladek1,2, Marianna Lucio3, Andreas Weiß4
1Department of Ophthalmology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, Germany.
Biomedicines
|June 26, 2025
概括
后COVID-19综合征患者疲劳显示在运动期间受损的微循环氧化. 近红外光谱学可能有助于识别COVID-19后综合征患者的这些脱氧缺陷.
科学领域:
- 心血管和神经科学 心血管和神经科学
- 生理学 生理学 生理学
- 医学诊断 医学诊断 医学诊断
背景情况:
- 后COVID-19综合征 (PCS) 可能涉及衰弱的疲劳和心血管/神经症状.
- 一个PCS患者的小组经历了微循环受损,导致严重的功能限制.
- 了解这些生理变化对于有效的患者管理至关重要.
研究的目的:
- 通过近红外区域光谱 (NIRS) 在PCS患者在轻度运动期间调查局部脱氧.
- 评估PCS中自我报告的疲劳和脱氧化动态之间的关联.
- 为了确定PCS子组的潜在目标标记.
主要方法:
- 150名参与者 (100名PCS患者,50名对照) 在压力球运动和恢复期间接受了NIRS测量.
- 使用经过验证的疲劳评分系统 (FACIT,Chalder,Bell) 和加拿大标准来评估运动后不适 (PEM).
- NIRS监测了对身体压力的反应中的局部肌肉氧化变化.
主要成果:
- PCS患者在多个尺度上报告了显著的疲劳.
- 与对照组相比,PCS患者的脱氧峰值在统计学上显著下降 (p = 0.0002).
- 多变量分析显示,PCS患者的一个子组在严重疲劳和受限制的氧化动态之间存在强烈的相关性.
结论:
- 在PCS患者中,NIRS可以检测脱氧缺陷,即使是中度至重度损伤的患者.
- 与NIRS相结合的轻量练习方案显示出对PCS中微循环功能障碍的客观评估的希望.
- 这种方法可以帮助区分PCS子组,并指导治疗策略.
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