Ardakani Emad M, Leboeuf-Yde Charlotte, Jacques Angela, Walker Bruce F
1College of Science, Health, Engineering, and Education, Murdoch University, Murdoch, 90 South St, Murdoch, Perth, Western Australia 6150.
2Institute for Regional Health Research, University of Southern Denmark, Odense, Denmark.
Chiropr Man Therap. 2020 Jan 16;28(1):1. doi: 10.1186/s12998-019-0291-6. eCollection 2020.
Most cases of low back pain (LBP) are regarded as non-specific and current studies indicate that for many this is a chronic recurrent condition, in which people experience episodes of pain with symptom-free periods in between. It is likely that acute exposure to some factors triggers the reappearance of new episodes in recurrent LBP regardless of the causality of the underlying condition (i.e. risk factors). Additionally, it has been shown that LBP patients present with different trajectories and different trajectories possibly have different triggers. Hence, dividing patients into some clinically meaningful subgroups may offer new insights into triggers, effective preventive strategies and, therefore, prognosis. This study aims to identify self-reported triggers and trajectories of episodes of recurrent LBP and to examine the prognostic association between different triggers and LBP trajectories.
This is a longitudinal, multicentre, Australia-wide observational study of patients with recurrent non-specific LBP. Two hundred adults with at least a one-year history of LBP will be recruited from primary care clinics or private practices and followed for a year. Each will receive an SMS every fortnight (26 time-points in total) enquiring the occurrence of a new episode of pain in the past 2 weeks and its intensity. Upon report of a new episode, a telephone interview will be performed to appraise exposure to self-nominated triggers in a period of 24 h preceding the pain. Trajectories will be identified by latent class analysis at the end of the follow-up based on the pain intensity, frequency, and length of episodes. Triggers will be categorised into physical and psychosocial groups. Generalised linear mixed models with logit links will be used to explore pain triggers associated with pain trajectories.
The completion of this study will provide insight into the patients' self-reported triggers of LBP and also their possible prognostic association with different trajectories. Some newly-identified and pre-identified triggers are likely to be found and reported.
大多数腰痛(LBP)病例被视为非特异性的,目前的研究表明,对许多人来说,这是一种慢性复发性疾病,患者会经历疼痛发作,期间有症状缓解期。无论潜在疾病(即风险因素)的因果关系如何,急性接触某些因素可能会引发复发性腰痛新发作的再次出现。此外,已有研究表明,腰痛患者呈现出不同的病程轨迹,不同的病程轨迹可能有不同的触发因素。因此,将患者分为一些具有临床意义的亚组可能会为触发因素、有效的预防策略以及预后提供新的见解。本研究旨在确定复发性腰痛发作的自我报告触发因素和病程轨迹,并研究不同触发因素与腰痛病程轨迹之间的预后关联。
这是一项在澳大利亚全国范围内对复发性非特异性腰痛患者进行的纵向、多中心观察性研究。将从初级保健诊所或私人诊所招募200名有至少一年腰痛病史的成年人,并对其进行为期一年的随访。每个人每两周会收到一条短信(总共26个时间点),询问过去两周内是否出现新的疼痛发作及其强度。一旦报告新的发作,将进行电话访谈,以评估在疼痛前24小时内接触自我提名触发因素的情况。在随访结束时,将通过潜在类别分析根据疼痛强度、频率和发作时长确定病程轨迹。触发因素将分为身体因素和心理社会因素两组。将使用具有logit链接的广义线性混合模型来探索与疼痛病程轨迹相关的疼痛触发因素。
本研究的完成将深入了解患者自我报告的腰痛触发因素,以及它们与不同病程轨迹可能的预后关联。可能会发现并报告一些新识别和预先识别的触发因素。