Kongsted Alice, Kent Peter, Hestbaek Lise, Vach Werner
The Nordic Institute of Chiropractic and Clinical Biomechanics, Campusvej 55, 5230 Odense M, Denmark; Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark.
Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark.
Spine J. 2015 May 1;15(5):885-94. doi: 10.1016/j.spinee.2015.02.012. Epub 2015 Feb 11.
BACKGROUND CONTEXT: The clinical presentation and outcome of patients with nonspecific low back pain (LBP) are very heterogeneous and may be better understood by the recognition of reproducible subgroups. One approach to subgrouping is the identification of clinical course patterns (trajectories). However, it has been unclear how dependent these trajectories are on the analytical model used and the pain characteristics included. PURPOSE: To identify LBP trajectories using LBP intensity and frequency measured once a week over 1 year and compare the results obtained using different analytical approaches. STUDY DESIGN: A prospective observational cohort study. PATIENT SAMPLE: Patients presenting with nonspecific LBP to general practitioners and chiropractors. OUTCOME MEASURES: Weekly self-report of LBP intensity (0-10) and the number of LBP days measured by short message service cell phone questions over a 1-year follow-up period. METHODS: Latent class analysis was used to identify the trajectories of LBP and 12 different analytical models were compared. The study was a component of a broader study funded by an unrestricted grant from the Danish Chiropractors' Foundation (USD 370,000). RESULTS: The study included 1,082 patients. The 12 models resulted in 5 to 12 subgroups, with a number of trajectories stable across models that differed on pain intensity, number of LBP days, and shape of trajectory. CONCLUSIONS: The clinical course of LBP is complex. Most primary care patients do not become pain-free within a year, but only a small proportion reports constant severe pain. Some distinct patterns exist which were identified independently of the way the outcome was modeled. These patterns would not be revealed by using the simple summary measures traditionally applied in LBP research or when describing a patient's pain history only in terms of duration. The appropriate number of subgroups will depend on the intended purpose of subgrouping.
背景:非特异性下腰痛(LBP)患者的临床表现和预后差异很大,通过识别可重复的亚组可能会更好地理解。亚组划分的一种方法是识别临床病程模式(轨迹)。然而,目前尚不清楚这些轨迹在多大程度上依赖于所使用的分析模型和所包括的疼痛特征。 目的:使用在1年时间内每周测量一次的LBP强度和频率来识别LBP轨迹,并比较使用不同分析方法获得的结果。 研究设计:一项前瞻性观察队列研究。 患者样本:向全科医生和脊椎按摩师就诊的非特异性LBP患者。 结局指标:在1年的随访期内,通过短信手机问题每周自我报告LBP强度(0-10)和LBP天数。 方法:使用潜在类别分析来识别LBP轨迹,并比较12种不同的分析模型。该研究是由丹麦脊椎按摩师基金会提供的一笔无限制赠款(37万美元)资助 的一项更广泛研究的一部分。 结果:该研究纳入了1082名患者。这12种模型产生了5至12个亚组,在疼痛强度、LBP天数和轨迹形状方面不同的模型中有一些轨迹是稳定的。 结论:LBP的临床病程很复杂。大多数初级保健患者在1年内并未无痛,但只有一小部分报告持续严重疼痛。存在一些独立于结局建模方式而识别出的不同模式。使用LBP研究中传统应用的简单汇总指标或仅根据持续时间描述患者的疼痛病史时,这些模式不会显现出来。亚组的适当数量将取决于亚组划分的预期目的。
BMC Musculoskelet Disord. 2017-7-3
BMC Musculoskelet Disord. 2017-8-9
Spine (Phila Pa 1976). 2020-12-1
BMC Musculoskelet Disord. 2017-3-31
Hong Kong Physiother J. 2025-6
Cochrane Database Syst Rev. 2025-3-10
JMIR Mhealth Uhealth. 2024-7-19