Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, California.
Division of Pain Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Boston Children's Hospital, Boston, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts.
J Pain. 2018 Feb;19(2):207-218. doi: 10.1016/j.jpain.2017.10.005. Epub 2017 Dec 6.
Intensive pain rehabilitation programs for children with chronic pain are effective for many patients. However, characteristics associated with treatment response have not been well documented. In this article we report trajectories of pain and functional impairment in patients with chronic pain up to 1 year after intensive pain rehabilitation and examine baseline factors associated with treatment response. Patients (n = 253) with chronic pain and functional disability were assessed at 5 time points (admission, discharge, 1-month, 4-month, and 12-month follow-ups). Individual trajectories were empirically grouped using SAS PROC TRAJ. For functional disability, 2 groups emerged: treatment responders (88%) and nonresponders (12%). Using a binomial logistic regression model to predict disability trajectory group, no baseline variables were significant predictors for the disability trajectory group. For pain, 3 groups emerged: early treatment responders (35%), late treatment responders (38%), and nonresponders (27%). Using multinomial regression analyses to predict pain trajectory group, older age, higher pain scores, fewer social difficulties, higher anxiety levels, and lower readiness to change were characteristics that distinguished nonresponders from responders; no significant predictors distinguished the late responders from the early responders. These results provide key information on the baseline factors that influence intensive pain rehabilitation outcomes, including risk factors that predict treatment nonresponse. Our findings have implications for developing more targeted treatment interventions.
Deriving groups of individuals with differing treatment response trajectories stimulates new thinking regarding potential mechanisms that may be driving these outcomes.
密集型疼痛康复计划对患有慢性疼痛的儿童有效,对许多患者都有效。然而,与治疗反应相关的特征尚未得到很好的记录。在本文中,我们报告了慢性疼痛患者在密集疼痛康复后 1 年内疼痛和功能障碍的轨迹,并检查了与治疗反应相关的基线因素。(n=253)患有慢性疼痛和功能障碍的患者在 5 个时间点(入院、出院、1 个月、4 个月和 12 个月随访)进行评估。使用 SAS PROC TRAJ 经验性地将个体轨迹分组。对于功能障碍,出现了 2 个组:治疗反应者(88%)和无反应者(12%)。使用二项逻辑回归模型预测残疾轨迹组,没有基线变量是残疾轨迹组的显著预测因子。对于疼痛,出现了 3 个组:早期治疗反应者(35%)、晚期治疗反应者(38%)和无反应者(27%)。使用多项回归分析预测疼痛轨迹组,年龄较大、疼痛评分较高、社交困难较少、焦虑水平较高和改变意愿较低是区分无反应者和反应者的特征;没有显著的预测因子可以区分晚期反应者和早期反应者。这些结果提供了关于影响密集型疼痛康复结果的基线因素的关键信息,包括预测治疗无反应的风险因素。我们的研究结果对开发更有针对性的治疗干预措施具有重要意义。
得出具有不同治疗反应轨迹的个体群体,激发了对可能驱动这些结果的潜在机制的新思考。