Predictors of outcome in a multi-component treatment program for chronic fatigue syndrome
Predictors of outcome in a multi-component treatment program for chronic fatigue syndrome
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DOI：
10.1016/j.jad.2010.01.073
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发表时间：
2010-10-01
影响因子：
6.6
通讯作者：
Van Wambeke, Peter
中科院分区：
文献类型：
--
作者：
Kempke, Stefan;Goossens, Lutgarde;Van Wambeke, Peter
背景：关于慢性疲劳综合征（CFS）治疗结果的预测因素知之甚少。的（1998）认知行为模型，对178例CFS患者进行了多组分治疗方案的样本检查了以下患者特征的预测价值：（1）躯体归因，（2）心理归因，（3）对症状的控制感，（4）身体活动，（5）功能障碍，（6）躯体焦点，和（7）抑郁的严重程度。结果：只有治疗前抑郁的严重程度与治疗后疲劳和疲劳改善的负性治疗结果相关。局限性：该研究在三级护理中心进行，不包括对照组或长期随访。结论：抑郁水平可能是认知行为模型预测CFS治疗后疲劳的最重要因素。因此，研究结果表明，CFS的治疗应包括关注抑郁症的严重程度。(C)2010 Elsevier B.V.保留所有权利。
Background: Little is known about factors predicting treatment outcome in chronic fatigue syndrome (CFS).Methods: Based on Vercoulen et al.'s (1998) cognitive-behavioral model of perpetuating factors in CFS, the predictive value of the following patient characteristics were examined in a sample of 178 CFS patients who followed a multi-component treatment program: (1) somatic attributions, (2) psychological attributions, (3) sense of control over symptoms, (4) physical activity, (5) functional impairment, (6) somatic focus, and (7) severity of depression.Results: Only pre-treatment severity of depression was associated with negative treatment outcome defined in terms of post-treatment fatigue and improvement in fatigue.Limitations: The study was conducted at a tertiary care centre and did not include a control group or a long-term follow-up.Conclusions: Level of depression may be the most important factor of the cognitive-behavioral model predicting post-treatment fatigue in CFS. Hence, findings suggest that treatment of CFS should include a focus on severity of depression. (C) 2010 Elsevier B.V. All rights reserved.