Fishbain David A, Cutler R B, Cole Brandly, Lewis J, Smets E, Rosomoff H L, Rosomoff R Steele
Department of Psychiatry, University of Miami School of Medicine, Miami, Florida, USA.
Pain Med. 2004 Jun;5(2):187-95. doi: 10.1111/j.1526-4637.2004.04026.x.
The objectives of this study were the following: to determine if fatigue is present in chronic low back pain (LBP) and chronic neck pain patients to a greater extent than in controls (nonpatients); to determine which variables are associated with the presence of fatigue; and to determine which of the above chronic pain patient (CPP) groups is more fatigued. To the authors' knowledge, this is the first such study in the literature.
Totals of 175 chronic LBP and 33 chronic neck pain patients completed the Multidimensional Fatigue Inventory (MFI), Neuropathic Pain Scale (NPS), and Beck Depression Inventory rating scales on admission. In addition, an information tool was completed on each CPP and contained the following information: demographics, primary and secondary pain diagnoses, DSM-IV psychiatric diagnoses assigned, pain location, pain precipitating event, type of injury, years in pain, number of surgeries, types of surgery, type of pain pattern, opioids consumed per day in morphine equivalents, workers' compensation status, and whether, according to the clinical examination, the pain did or did not have a neuropathic component. Scores on the MFI were then compared with published norms for controls (nonpatients) via chi-squared tests. Bivariate analyses were conducted between the MFI subscales and the variables selected for analysis. Pearson correlations, analyses of variance, and t-tests were used to test for relationships between MFI scale scores and the appropriate variables. In the next step of the analysis, stepwise regression analyses were used to predict each of the MFI subscale scores using the variables that were found to be significantly (P < 0.05) related to fatigue by the preceding analysis. In the final analysis, the variables that were significant predictors of the fatigue subscales were controlled for as covariates in an analysis of variance in order to determine if chronic LBP patients had scores on the MFI subscales that were significantly different from those of chronic neck pain patients.
Multidisciplinary pain facility.
Chronic LBP and chronic neck pain patients.
Chronic LBP and chronic neck pain patients were found to be significantly more fatigued than controls (nonpatients). Most of the MFI subscale scores could be predicted by four major variables: presence of neuropathic pain, female gender, presence of depression, and total number of DSM-IV diagnoses. Chronic LBP patients were as fatigued as chronic neck pain patients.
The complaint of fatigue appears to be a significant problem for chronic LBP and chronic neck pain patients. This complaint may be associated with neuropathic pain, female gender, and psychiatric comorbidities.
本研究的目的如下:确定慢性下腰痛(LBP)和慢性颈痛患者中疲劳的存在程度是否高于对照组(非患者);确定哪些变量与疲劳的存在相关;以及确定上述哪组慢性疼痛患者(CPP)更易疲劳。据作者所知,这是文献中首次进行此类研究。
175例慢性LBP患者和33例慢性颈痛患者在入院时完成了多维疲劳量表(MFI)、神经性疼痛量表(NPS)和贝克抑郁量表评分。此外,为每位CPP患者完成了一份信息工具,其中包含以下信息:人口统计学信息、原发性和继发性疼痛诊断、指定的DSM-IV精神疾病诊断、疼痛部位、疼痛诱发事件、损伤类型、疼痛持续年限、手术次数、手术类型、疼痛模式类型、以吗啡当量计算的每日阿片类药物消耗量、工伤赔偿状况,以及根据临床检查疼痛是否具有神经性成分。然后通过卡方检验将MFI评分与已发表的对照组(非患者)标准进行比较。在MFI子量表与选定用于分析的变量之间进行双变量分析。使用皮尔逊相关性分析、方差分析和t检验来检验MFI量表评分与适当变量之间的关系。在分析的下一步中,使用逐步回归分析,用先前分析中发现与疲劳显著相关(P<0.05)的变量来预测每个MFI子量表评分。在最终分析中,将作为疲劳子量表显著预测因子的变量作为协变量在方差分析中进行控制,以确定慢性LBP患者在MFI子量表上的评分是否与慢性颈痛患者的评分有显著差异。
多学科疼痛治疗机构。
慢性LBP和慢性颈痛患者。
发现慢性LBP和慢性颈痛患者比对照组(非患者)更容易疲劳。大多数MFI子量表评分可由四个主要变量预测:神经性疼痛的存在、女性性别、抑郁的存在以及DSM-IV诊断总数。慢性LBP患者与慢性颈痛患者一样容易疲劳。
疲劳主诉似乎是慢性LBP和慢性颈痛患者的一个重要问题。这种主诉可能与神经性疼痛、女性性别和精神疾病共病有关。