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两种症状可准确识别肌痛性脑脊髓炎/慢性疲劳综合征中的活动后不适。

Two symptoms can accurately identify post-exertional malaise in myalgic encephalomyelitis/chronic fatigue syndrome.

机构信息

University of the Pacific, Stockton, CA, USA.

Workwell Foundation, Ripon, CA, USA.

出版信息

Work. 2023;74(4):1199-1213. doi: 10.3233/WOR-220554.

Abstract

BACKGROUND

Post-exertional malaise (PEM) is the hallmark symptom of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) yet its diverse manifestations make it difficult to recognize. Brief instruments for detecting PEM are critical for clinical and scientific progress.

OBJECTIVE

To develop a clinical prediction rule for PEM.

METHOD

49 ME/CFS and 10 healthy, sedentary subjects recruited from the community completed two maximal cardiopulmonary exercise tests (CPETs) separated by 24 hours. At five different times, subjects reported symptoms which were then classified into 19 categories. The frequency of symptom reports between groups at each time point was compared using Fisher's exact test. Receiver operating characteristics (ROC) analysis with area under the curve calculation was used to determine the number of different types of symptom reports that were sufficient to differentiate between ME/CFS and sedentary groups. The optimal number of symptoms was determined where sensitivity and specificity of the types of symptom reports were balanced.

RESULTS

At all timepoints, a maximum of two symptoms was optimal to determine differences between groups. Only one symptom was necessary to optimally differentiate between groups at one week following the second CPET. Fatigue, cognitive dysfunction, lack of positive feelings/mood and decrease in function were consistent predictors of ME/CFS group membership across timepoints.

CONCLUSION

Inquiring about post-exertional cognitive dysfunction, decline in function, and lack of positive feelings/mood may help identify PEM quickly and accurately. These findings should be validated with a larger sample of patients.

摘要

背景

运动后不适(PEM)是肌痛性脑脊髓炎/慢性疲劳综合征(ME/CFS)的标志性症状,但它的多种表现形式使其难以识别。用于检测 PEM 的简短工具对于临床和科学进展至关重要。

目的

制定 PEM 的临床预测规则。

方法

从社区招募的 49 名 ME/CFS 和 10 名健康、久坐的受试者在 24 小时内完成了两次最大心肺运动测试(CPET)。在五个不同的时间点,受试者报告了症状,然后将其分为 19 类。使用 Fisher 精确检验比较组在每个时间点的症状报告频率。使用接收者操作特征(ROC)分析和曲线下面积计算来确定足以区分 ME/CFS 和久坐组的不同类型症状报告的数量。在灵敏度和特异性平衡的情况下确定最佳症状数量。

结果

在所有时间点,最多两种症状是确定组间差异的最佳选择。在第二次 CPET 后一周,只需一种症状即可最佳地区分组间差异。疲劳、认知功能障碍、缺乏积极情绪/心情和功能下降是跨时间点 ME/CFS 组归属的一致预测因素。

结论

询问运动后认知功能障碍、功能下降和缺乏积极情绪/心情可能有助于快速准确地识别 PEM。这些发现应通过更大的患者样本进行验证。

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