Barts and the London School of Medicine and Dentistry, Queen Mary University of London, UK.
Centre for Psychiatry, Wolfson Institute of Preventive Medicine, Barts and the London School of Medicine, Queen Mary University, London, UK.
J Psychosom Res. 2020 Aug;135:110154. doi: 10.1016/j.jpsychores.2020.110154. Epub 2020 May 23.
To classify patients with chronic fatigue syndrome (CFS) by pattern of physical activity and determine the clinical associations of each type.
579 out of 641 participants with CFS from the PACE (Pacing, graded Activity, Cognitive behavioural therapy: a randomised Evaluation) trial wore an Actiwatch (accelerometer) for between 3 and 7 days before any trial treatments, which provided a measure of physical activity. Participants' activity was categorised into one of four patterns (pervasively inactive, pervasively active, boom and bust, or indeterminate) primarily using a priori definitions of activity. Clinical associations were sought with each group using an exploratory logistic regression with the indeterminate activity group being the reference group.
124 (21%) of the participants were classified as pervasively inactive, 65 (11%) as pervasively active, 172 (30%) showed a 'boom and bust' pattern of activity, and 218 (38%) had an indeterminate pattern. Pervasively inactive patients were more physically disabled, those in the pervasively active group were more anxious, and those in the boom and bust group had more sleep disturbance.
We were able to classify patients with CFS into groups by their daytime activity pattern. The different patterns of activity were associated with important clinical variables, suggesting that they might be helpful in determining prognosis and targeting treatments. These associations need replication.
通过体力活动模式对慢性疲劳综合征（CFS）患者进行分类，并确定每种类型的临床关联。
PACE（起搏、分级活动、认知行为疗法：随机评估）试验中共有 641 名 CFS 患者中的 579 名在接受任何试验治疗前佩戴 Actiwatch（加速度计）3-7 天，该设备可测量体力活动。参与者的活动主要使用活动的预先定义分类为四种模式之一（普遍不活跃、普遍活跃、繁荣和萧条或不确定）。使用探索性逻辑回归，以不确定活动组为参考组，寻找与每个组的临床关联。
124 名（21%）参与者被归类为普遍不活跃，65 名（11%）为普遍活跃，172 名（30%）表现出“繁荣和萧条”的活动模式，218 名（38%）为不确定模式。普遍不活跃的患者身体残疾更严重，普遍活跃组的患者更焦虑，繁荣和萧条组的患者睡眠更紊乱。
我们能够根据患者白天的活动模式对 CFS 患者进行分类。不同的活动模式与重要的临床变量相关，这表明它们可能有助于确定预后和治疗目标。这些关联需要复制。
