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社区老年人全髋关节置换术的预测因素:一项队列研究。

Predictors of total hip replacement in community based older adults: a cohort study.

机构信息

Royal Hobart Hospital, Hobart, Tasmania, Australia.

Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.

出版信息

Osteoarthritis Cartilage. 2021 Aug;29(8):1130-1137. doi: 10.1016/j.joca.2021.04.013. Epub 2021 May 7.

DOI:10.1016/j.joca.2021.04.013
PMID:33965528
Abstract

OBJECTIVE

The purpose of this study is to describe predictors of total hip replacement (THR) in community dwelling older adults. A better understanding of predictors of THR can aid in triaging patients and researching preventative strategies.

DESIGN

At baseline, participants had assessment of radiographic OA and cam morphology (from pelvic radiographs), shape mode scores and hip bone mineral density (BMD; from dual energy X-ray absorptiometry (DXA)). After 2.6 and 5 years, participants reported hip pain using WOMAC (Western Ontario and McMaster Universities Osteoarthritis Index), and had hip structural changes assessed using magnetic resonance imaging (MRI). Risk of THR was analysed using mixed-effect Poisson regression.

RESULTS

Incidence of THR for OA over 14 years was 4.6% (37/801). As expected, WOMAC hip pain and hip radiographic OA both predicted risk of THR. Additionally, shape mode 2 score (decreasing acetabular coverage) (RR 1.83/SD; 95% CI 1.1-3.04), shape mode 4 score (non-spherical femoral head) (RR 0.59/SD; 95% CI 0.36-0.96), cam morphology (α > 60°) (RR 2.2/SD; 95% CI 1.33-3.36), neck of femur BMD (RR 2.09/SD, 95% CI 1.48-2.94) and bone marrow lesions (BMLs) increased risk of THR (RR 7.10/unit; 95% CI 1.09-46.29).

CONCLUSION

In addition to hip pain and radiographic hip OA, measures of hip shape, cam morphology, BMD and BMLs independently predict risk of THR. This supports the role of hip bone geometry and structure in the pathogenesis of end stage hip OA and has identified factors that can be used to improve prediction models for THR.

摘要

目的

本研究旨在描述社区居住的老年人群全髋关节置换术(THR)的预测因素。更好地了解 THR 的预测因素有助于对患者进行分诊和研究预防策略。

设计

在基线时,参与者接受了髋关节放射学 OA 和凸轮形态(来自骨盆 X 线片)、形状模式评分和髋骨骨密度(DXA)的评估。在 2.6 年和 5 年后,参与者使用 WOMAC(西安大略和麦克马斯特大学骨关节炎指数)报告髋关节疼痛,并使用磁共振成像(MRI)评估髋关节结构变化。使用混合效应泊松回归分析 THR 的风险。

结果

14 年内 OA 的 THR 发生率为 4.6%(37/801)。正如预期的那样,WOMAC 髋关节疼痛和髋关节放射学 OA 均预测 THR 的风险。此外,形态模式 2 评分(髋臼覆盖减少)(RR 1.83/SD;95%CI 1.1-3.04)、形态模式 4 评分(非球形股骨头)(RR 0.59/SD;95%CI 0.36-0.96)、凸轮形态(α>60°)(RR 2.2/SD;95%CI 1.33-3.36)、股骨颈骨密度(RR 2.09/SD,95%CI 1.48-2.94)和骨髓病变(BMLs)增加了 THR 的风险(RR 7.10/单位;95%CI 1.09-46.29)。

结论

除了髋关节疼痛和髋关节放射学 OA 外,髋关节形态、凸轮形态、骨密度和 BMLs 等指标也可独立预测 THR 的风险。这支持了髋关节骨几何形状和结构在终末期髋关节 OA 发病机制中的作用,并确定了可用于改善 THR 预测模型的因素。

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