预测 OA 进展为全髋关节置换:我们能否通过使用主动形状建模作为影像学生物标志物来改善仅使用危险因素的预测效果?

Predicting OA progression to total hip replacement: can we do better than risk factors alone using active shape modelling as an imaging biomarker?

机构信息

Bone and Musculoskeletal Research Programme, Aberdeen, UK.

出版信息

Rheumatology (Oxford). 2012 Mar;51(3):562-70. doi: 10.1093/rheumatology/ker382. Epub 2011 Dec 2.

Abstract

OBJECTIVE

Previously, active shape modelling (ASM) of the proximal femur was shown to identify those individuals at highest risk of developing radiographic OA. Here we determine whether ASM predicts the need for total hip replacement (THR) independent of Kellgren-Lawrence grade (KLG) and other known risk factors.

METHODS

A retrospective cohort study of 141 subjects consulting primary care with new hip pain was conducted. Pelvic radiographs taken on recruitment were assessed for KLG, centre-edge angle, acetabular depth and femoral head migration. Clinical factors (duration of pain, use of a stick and physical function) were collected by self-completed questionnaires. ASM differences between shape mode scores at baseline for individuals who underwent THR during the 5-year follow-up (n = 27) and those whose OA did not progress radiographically (n = 75) were compared.

RESULTS

A 1 s.d. reduction in baseline ASM mode 2 score was associated with an 81% reduction in odds of THR (OR = 0.19, 95% CI 0.52, 0.70) after adjustment for KLG, radiographic and clinical factors. A similar reduction in odds of THR was associated with a 1 s.d. reduction in mode 3 (OR = 0.45, 95% CI 0.28, 0.71) and a 1 s.d. increase in mode 4 score (OR = 2.8, 95% CI 1.7, 4.7), although these associations were no longer significant after adjustment for KLG and clinical factors.

CONCLUSION

ASM of the hip joint is a reliable early biomarker of radiographic OA severity, which can improve the ability to identify patients at higher risk of rapid progression and poor outcome even when KLG and clinical risk factors are taken into account.

摘要

目的

先前的研究表明,基于活动形状模型(ASM)的近端股骨分析可识别出那些发生影像学骨关节炎(OA)风险最高的个体。本研究旨在确定基于 ASM 是否可独立于 Kellgren-Lawrence 分级(KLG)和其他已知的危险因素预测全髋关节置换(THR)的需求。

方法

对 141 例因新发髋痛就诊于初级保健的患者进行了回顾性队列研究。招募时拍摄的骨盆 X 线片用于评估 KLG、中心边缘角、髋臼深度和股骨头迁移度。通过自我报告问卷收集临床因素(疼痛持续时间、使用手杖和身体功能)。比较了在 5 年随访期间接受 THR 的 27 例患者与影像学 OA 无进展的 75 例患者的基线 ASM 形态模式评分之间的 ASM 差异。

结果

校正 KLG、影像学和临床因素后,基线 ASM 模式 2 评分降低 1 个标准差与 THR 发生的可能性降低 81%相关(比值比=0.19,95%置信区间 0.52,0.70)。模式 3 评分降低 1 个标准差也与 THR 发生的可能性降低相关(比值比=0.45,95%置信区间 0.28,0.71),模式 4 评分升高 1 个标准差也与 THR 发生的可能性升高相关(比值比=2.8,95%置信区间 1.7,4.7),但校正 KLG 和临床危险因素后,这些关联不再显著。

结论

髋关节 ASM 是影像学 OA 严重程度的可靠早期生物标志物,即使考虑 KLG 和临床危险因素,也可提高识别进展迅速和预后不良风险较高的患者的能力。

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