Michaelson Peter, Sjölander Per, Johansson Håkan
Southern Lapland Research Department, Vilhelmina, Sweden.
Clin J Pain. 2004 Nov-Dec;20(6):447-54. doi: 10.1097/00002508-200411000-00010.
To determine whether treatment related pain reduction on the short- and long-term is predicted by different baseline variables, and with different accuracy, in patients with chronic low back pain as compared with those with chronic neck pain.
A single blinded prospective cohort study based on patients with chronic musculoskeletal pain in the lower back (N = 167) or the neck (N = 136) who completed a 4-week multimodal rehabilitation program. At admission, each patient was evaluated on 17 potential predictors, including pain characteristics and physical, sociodemographic, and psychosocial-behavioral variables. Changes in self-reported pain intensity in the lower back or the neck between the pretreatment evaluation and those performed immediately after, and 12 months after the rehabilitation program, were assessed.
Logistic regression models revealed that change in pain intensity could be predicted with good specificity but with poor sensitivity both for patients with chronic low back pain and chronic neck pain. Significant predictors among the neck pain patients were high endurance, low age, high pain intensity, few other symptoms, low need of being social, to do things with others, and to be helped, along with optimistic attitudes on how the pain will interfere with daily life. Among the low back pain patients, high pain intensity, low levels of pain severity, and high affective distress were important predictors. Variables such as sex, sick leave history, working status, accident, pain duration, and depressive symptoms demonstrated no predictive value. Short- and long-term pain outcome was equally predictable and predicted by almost the same variables.
Patients who reported unchanged or increased pain after multimodal treatment could be predicted with good accuracy, whereas those who reported decreased pain were more difficult to identify. Treatment-related pain alteration in chronic low back pain seems to be predicted by partly different variables than in chronic neck pain.
确定与慢性颈痛患者相比,慢性腰痛患者短期和长期治疗相关的疼痛减轻是否由不同的基线变量预测,以及预测准确性是否不同。
一项单盲前瞻性队列研究,基于慢性下背部(N = 167)或颈部(N = 136)肌肉骨骼疼痛患者,这些患者完成了为期4周的多模式康复计划。入院时,对每位患者进行了17项潜在预测指标的评估,包括疼痛特征以及身体、社会人口统计学和心理社会行为变量。评估了康复计划前评估与康复计划刚结束后以及结束12个月后自我报告的下背部或颈部疼痛强度的变化。
逻辑回归模型显示,慢性腰痛和慢性颈痛患者的疼痛强度变化均可被较好地特异性预测,但敏感性较差。颈痛患者中的显著预测指标包括高耐力、低年龄、高疼痛强度、其他症状少、社交需求低、与他人一起做事及得到帮助的需求低,以及对疼痛如何干扰日常生活持乐观态度。在腰痛患者中,高疼痛强度、低疼痛严重程度和高情感困扰是重要的预测指标。性别、病假史、工作状态、事故、疼痛持续时间和抑郁症状等变量无预测价值。短期和长期疼痛结果的可预测性相同,且由几乎相同的变量预测。
多模式治疗后报告疼痛未改变或增加的患者可以被准确预测,而报告疼痛减轻的患者则更难识别。慢性腰痛中与治疗相关的疼痛改变似乎由与慢性颈痛部分不同的变量预测。