Schellingerhout Jasper Mattijs, Verhagen Arianne Petra, Heymans Martinus Wilhelmus, Pool Jan Jacobus Maria, Vonk Frieke, Koes Bart Willem, de Vet Henrica Cornelia Wilhelmina
Department of General Practice, Erasmus Medical Centre, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands EMGO Institute, VU University Medical Centre, Amsterdam, The Netherlands Department of Methodology and Applied Biostatistics, VU University, Amsterdam, The Netherlands.
Pain. 2008 Oct 31;139(3):670-680. doi: 10.1016/j.pain.2008.07.015. Epub 2008 Sep 5.
The objective of this study is to identify subgroups of patients with non-specific neck pain who are more likely to benefit from either physiotherapy, spinal manipulation therapy, or usual care, on the short- and long-term. Data of three recently finished randomised controlled trials, with similar design and setting, were combined. The combined study population consisted of 329 patients with non-specific neck pain in an adult (18-70years) primary care population in the Netherlands. The primary outcome measure was global perceived recovery and was measured at the end of the treatment period and after 52 weeks of follow-up. Fourteen candidate variables were selected for the analysis. Predictors were identified by multivariable logistic regression analysis and were tested for interaction with treatment. Based on the multivariable models with interaction terms a decision model for treatment choice was developed. The analysis revealed three predictors for recovery of which the effect is modified by treatment: pain intensity (0-10 scale) in the short-term model, age and (no) accompanying low back pain in the long-term model. With these predictors a clinically relevant improvement in recovery rate (up to 25% improvement) can be established in patients receiving a tailored instead of a non-advised treatment. In conclusion we identified three characteristics that facilitate a deliberate treatment choice, to optimise benefit of treatment in patients with non-specific neck pain: age, pain intensity, and (no) accompanying low back pain.
本研究的目的是确定非特异性颈部疼痛患者的亚组,这些亚组患者在短期和长期内更有可能从物理治疗、脊柱推拿治疗或常规护理中获益。合并了三项近期完成的、设计和背景相似的随机对照试验的数据。合并后的研究人群包括荷兰成年(18 - 70岁)初级保健人群中的329例非特异性颈部疼痛患者。主要结局指标是整体感知恢复情况,在治疗期结束时和随访52周后进行测量。选择了14个候选变量进行分析。通过多变量逻辑回归分析确定预测因素,并测试其与治疗的相互作用。基于带有交互项的多变量模型,开发了一个治疗选择决策模型。分析揭示了三个恢复的预测因素,其效应因治疗而改变:短期模型中的疼痛强度(0 - 10分制)、长期模型中的年龄和是否伴有下背部疼痛。利用这些预测因素,接受定制治疗而非无建议治疗的患者的恢复率可实现临床上相关的改善(提高多达25%)。总之,我们确定了三个有助于做出明智治疗选择的特征,以优化非特异性颈部疼痛患者的治疗获益:年龄、疼痛强度和是否伴有下背部疼痛。