在RECOVER EHR队列中确定PASC和ME/CFS的EHR表示之间的共同点和差异
John P Powers1, Tomas J McIntee2, Abhishek Bhatia2
1University of North Carolina at Chapel Hill, North Carolina Translational and Clinical Sciences Institute, Chapel Hill, NC, USA. jppowers@unc.edu.
Communications medicine
|April 10, 2025
概括
SARS-CoV-2 感染 (PASC) 和肌痛性脑筋炎/慢性疲劳综合征 (ME/CFS) 的后急性后续症状有许多共同的症状和生物学异常. 研究结果表明,这些疾病的症状管理策略重叠.
科学领域:
- 医学研究 医学研究
- 公共卫生 公共卫生
- 计算生物学是一种计算生物学.
背景情况:
- SARS-CoV-2 感染 (PASC) 和肌痛性脑筋炎/慢性疲劳综合征 (ME/CFS) 的后急性后续症状表现出重叠的症状和生物学异常.
- 了解这些共同点对于制定协调的治疗策略至关重要.
- 需要实证研究来界定PASC和ME/CFS之间的相似之处和差异.
研究的目的:
- 使用大规模电子健康记录数据,比较PASC和ME/CFS的临床特征.
- 识别与PASC和ME/CFS诊断相关的共同和独特的疾病.
- 探索潜在的常见病理生理学基础,并为治疗方法提供信息.
主要方法:
- 来自国家COVID队列协作组的650万名成年患者记录的分析.
- 基于记录的诊断和条件,为PASC和ME/CFS开发机器学习驱动的可计算表型 (CP).
- 状态集群 (心肺,神经,并发症) 的统计推导和组间亚表型率的比较.
主要成果:
- 观察到显著的重叠,大约一半的患者被一个PC标记,也被另一个PC标记.
- 常见的预测性疾病包括呼吸障碍,疲劳和认知障碍.
- 心肺疾病与PASC更为相关,而疼痛和睡眠障碍与ME/CFS更为相关.
结论:
- 数据驱动的分析揭示了与PASC和ME/CFS相关的条件的大量重叠.
- 显而易见的模式出现,在PASC中心肺问题更为普遍,在ME/CFS中疼痛/睡眠障碍更为普遍.
- 这些发现支持了两种疾病的潜在重叠症状管理策略的可能性.
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