骨关节炎和慢性背痛与侧脊柱形状有关:一项使用英国生物银行的研究

F.R. Saunders , J. Parkinson , R.M. Aspden , T. Cootes , J.S. Gregory
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引用次数: 0

摘要

慢性背痛非常常见,影响了全球超过6亿成年人,部分原因是OA。我们之前已经证明,侧棘具有固有的形状,而特定的形状已被证明与老年早期的背痛有关。然而,文献中很少有证据表明侧脊柱形状与OA直接相关。目的在英国生物银行的一个亚队列中探讨OA、慢性背痛和侧脊柱形状之间的关系。方法采用来自UK Biobank成像增强研究的侧侧脊柱iDXA扫描(n=4784)。队列中女性占52.1%,平均年龄为62.2±7.5岁(表1)。使用定制软件(曼彻斯特大学),使用包含从T7到L5上缘椎体的143点模板对图像进行半自动注释。通过Procrustes变换和主成分分析建立统计形状模型(SSM)。自我报告的OA和慢性背痛(持续时间超过3个月)来自影像学中心访问时提供的问卷数据。采用二元逻辑回归来探讨自我报告的OA、慢性背痛和前10种变异模式之间的关系。模型根据年龄、性别、身高、体重和脊柱骨密度进行调整。我们报告了模式中每个标准差变化的95%置信区间(CI)的比值比(OR)。结果537名参与者报告OA(非部位特异性),630名报告慢性背痛。前10个SSM模态占总模态变化的88.9%。我们发现三种模式与自我报告的OA相关(模式3,9 &;10)单一模式与慢性背痛相关(模式3)。模型3的总变异率为6.5%;图1),描述椎体高度和脊柱高度下降与自我报告的OA [OR 0.88 95% CI 0.8-0.97, p=0.007]和慢性背痛[OR 0.81 95% CI 0.70-0.94, p=0.005]呈负相关。模式3也描述了脊柱弯曲的丧失(图1)。模式9(占总模型变异的0.7%),描述腰椎变窄)和模式10(占总模型变异的0.5%),描述腰椎和胸椎段之间的分离,与OA的风险增加相关[模式9 OR 1.11 95% CI 1.01-1.022, p=0.031;模式10 OR 1.12 95% CI 1.02-1.23, p=0.011]。结论脊柱曲度降低和椎体高度降低与骨性关节炎呈负相关。我们的数据表明,脊柱旋转会增加骨性关节炎的风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
OSTEOARTHRITIS AND CHRONIC BACK PAIN ARE ASSOCIATED WITH LATERAL SPINE SHAPE: A STUDY USING THE UK BIOBANK

INTRODUCTION

Chronic back pain is very common and affects over 600 million adults worldwide and has been partly attributed to OA. We have previously shown that the lateral spine has an intrinsic shape and that specific shapes have been shown to be associated with back pain in early old age. However, there is little evidence in the literature that directly links lateral spine shape with OA.

OBJECTIVE

To explore the relationships between OA, chronic back pain and lateral spine shape in a sub-cohort of the UK Biobank.

METHODS

Lateral spine iDXA scans (n=4784) from the UK Biobank imaging enhancement study were used. The cohort was 52.1% female, and the mean age was 62.2±7.5 years (Table 1). Images were annotated semi-automatically using a 143-point template encompassing the vertebral bodies from T7 to the superior margin of L5 using custom software (The University of Manchester). The points were subjected to Procrustes transform and then Principal Component Analysis to build a statistical shape model (SSM). Self-reported OA and chronic back pain (greater than 3 months duration) were taken from the questionnaire data provided at the imaging centre visit. Binary logistic regression was used to explore the associations between self-reported OA, chronic back pain, and the first 10 modes of variation. The model was adjusted for age, sex, height, weight and total spine BMD. We report odds ratios (OR) with 95% confidence intervals (CI) for each standard deviation change in mode.

RESULTS

537 participants reported OA (not site specific) and 630 reported chronic back pain. The first 10 SSM modes accounted for 88.9% of the total model variation. We found that three modes were associated with self-reported OA (modes 3,9 & 10) and a single mode was associated with chronic back pain (mode 3). It was observed that mode 3 (6.5% total model variation; Fig 1.), describing vertebral height and decreased vertebral column height was negatively associated with both self-reported OA [OR 0.88 95% CI 0.8-0.97, p=0.007] and chronic back pain [OR 0.81 95% CI 0.70-0.94, p=0.005]. Mode 3 also described a loss of spinal curvature (Fig. 1). Mode 9 (0.7% of total model variation), describing narrowing of the lumbar vertebrae) and mode 10 (0.5% of total model variation), describing a disconnect between lumbar and thoracic sections of the vertebral column were associated with an increased risk of OA [mode 9 OR 1.11 95% CI 1.01-1.022, p=0.031; mode 10 OR 1.12 95% CI 1.02-1.23, p=0.011].

CONCLUSION

We found that loss of spinal curvature and decreased vertebral body height were negatively associated with OA. Our data indicated that there was an increased risk of OA with rotation of the spine.
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Osteoarthritis imaging
Osteoarthritis imaging Radiology and Imaging
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