Centre for Pain IMPACT, Neuroscience Research Australia (NeuRA), Randwick, New South Wales, Australia.
School of Health Sciences, Western Sydney University, Penrith, New South Wales, Australia.
Pain. 2023 Jan 1;164(1):14-26. doi: 10.1097/j.pain.0000000000002684. Epub 2022 May 13.
Predicting the development of chronic low back pain (LBP) at the time of an acute episode remains challenging. The Understanding persistent Pain Where it ResiDes study aimed to identify neurobiological and psychological risk factors for chronic LBP. Individuals with acute LBP (N = 120) participated in a prospective cohort study with 6-month follow-up. Candidate predictors were selected from the neurobiological (eg, sensorimotor cortical excitability assessed by sensory and motor-evoked potentials and brain-derived neurotrophic factor genotype), psychological (eg, depression and anxiety), symptom-related (eg, LBP history), and demographic domains. Analyses involved multivariable linear regression models with pain intensity or disability degree as continuous variables. Secondary analyses involved a multivariable logistic model with the presence of LBP at 6 months (thresholding pain intensity and disability degree) as a dichotomous variable. Lower sensory cortex and corticomotor excitability, higher baseline pain intensity, higher depression, stress, and pain catastrophizing were the strongest predictors ( R2 = 0.47) of pain intensity at 6 months. Older age and higher pain catastrophizing were the strongest predictors ( R2 = 0.30) of disability at 6 months. When the LBP outcome was dichotomised, sensory cortex and corticomotor excitability, brain-derived neurotrophic factor genotype, depression and anxiety, LBP history and baseline pain intensity, discriminated between those who did and did not report LBP at 6 months (C-statistic 0.91). This study identifies novel risk factors for the development of future LBP. Neurobiological risk factors, when added to a multivariable linear regression model, explained a further 15% of the variance in the 6-month pain intensity.
预测急性腰痛(LBP)发作时慢性 LBP 的发展仍然具有挑战性。Understanding persistent Pain Where it ResiDes 研究旨在确定慢性 LBP 的神经生物学和心理风险因素。120 名急性 LBP 患者参与了一项前瞻性队列研究,随访时间为 6 个月。从神经生物学(例如,通过感觉和运动诱发电位以及脑源性神经营养因子基因型评估的感觉运动皮质兴奋性)、心理(例如,抑郁和焦虑)、症状相关(例如,LBP 病史)和人口统计学领域中选择候选预测因子。分析包括多变量线性回归模型,将疼痛强度或残疾程度作为连续变量。次要分析涉及多变量逻辑模型,将 6 个月时存在 LBP(疼痛强度和残疾程度的阈值)作为二分类变量。较低的感觉皮层和皮质运动兴奋性、较高的基线疼痛强度、较高的抑郁、压力和疼痛灾难化是 6 个月时疼痛强度的最强预测因素( R2 = 0.47)。年龄较大和疼痛灾难化程度较高是 6 个月时残疾的最强预测因素( R2 = 0.30)。当 LBP 结果为二分类时,感觉皮层和皮质运动兴奋性、脑源性神经营养因子基因型、抑郁和焦虑、LBP 病史和基线疼痛强度可区分 6 个月时报告和未报告 LBP 的患者(C 统计量为 0.91)。这项研究确定了未来 LBP 发展的新风险因素。神经生物学风险因素,当添加到多变量线性回归模型中时,可进一步解释 6 个月时疼痛强度变化的 15%。