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膝关节骨关节炎结构疾病进展的轨迹。

Trajectories of Structural Disease Progression in Knee Osteoarthritis.

机构信息

Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.

Boston University School of Medicine, Boston, Massachusetts.

出版信息

Arthritis Care Res (Hoboken). 2021 Sep;73(9):1354-1362. doi: 10.1002/acr.24340. Epub 2021 Jul 27.

DOI:10.1002/acr.24340
PMID:32491247
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7710564/
Abstract

OBJECTIVE

Knee osteoarthritis (OA) is a heterogeneous disease, with most patients experiencing slow disease progression and some with rapid deterioration. We aimed to identify groups of patients with symptomatic knee OA experiencing rapid structural progression.

METHODS

We selected participants from the Osteoarthritis Initiative with baseline Kellgren/Lawrence (K/L) grades 1-3 and knee pain, and with joint space width (JSW) on fixed-flexion knee radiographs assessed at baseline and with ≥1 follow-up over 8 years. We used latent class growth analysis to identify subgroups of JSW progression, jointly modeling time to knee replacement (KR) to account for potential informative dropouts. After identifying trajectories, we used logistic regression to assess the association between baseline characteristics and the JSW trajectory group.

RESULTS

We used data from 1,578 participants. Baseline radiographic severity was K/L grade 1 in 17%, K/L grade 2 in 50%, and K/L grade 3 in 33%. We identified 3 distinct JSW trajectories: 86% stable, 6% with stable JSW followed by late progression, and 8% with early progression. Incorporating information about KR resulted in 47% of KRs initially classified as stable being reclassified to 1 of the progressing trajectories. Prior knee surgery was associated with being in the late-progressing versus the stable trajectory, while obesity was associated with being in the early-progressing versus stable trajectory.

CONCLUSION

In addition to a subgroup of individuals experiencing early structural progression, 8-year longitudinal data allowed the identification of a late-progressing trajectory. Incorporating information about KR was important to properly identify longitudinal structural trajectories in knee OA.

摘要

目的

膝骨关节炎(OA)是一种异质性疾病,大多数患者的疾病进展缓慢,而有些患者的病情则迅速恶化。我们旨在确定有症状的膝骨关节炎患者中出现快速结构进展的患者群体。

方法

我们从 Osteoarthritis Initiative 中选择了基线时 Kellgren/Lawrence(K/L)分级为 1-3 级且有膝关节疼痛,并在基线时和 8 年以上至少有一次随访时拍摄固定屈曲膝关节 X 线片评估关节间隙宽度(JSW)的患者。我们使用潜在类别增长分析来确定 JSW 进展的亚组,同时对膝关节置换(KR)的时间进行建模,以考虑潜在的信息性缺失。在确定轨迹后,我们使用逻辑回归来评估基线特征与 JSW 轨迹组之间的关联。

结果

我们使用了 1578 名参与者的数据。基线放射学严重程度为 K/L 分级 1 的占 17%,K/L 分级 2 的占 50%,K/L 分级 3 的占 33%。我们确定了 3 种不同的 JSW 轨迹:86%稳定,6%稳定的 JSW 随后进展缓慢,8%早期进展。纳入 KR 信息后,最初分类为稳定的 KR 中有 47%被重新分类为进展轨迹之一。既往膝关节手术与晚期进展轨迹相比与稳定轨迹相关,而肥胖与早期进展轨迹与稳定轨迹相关。

结论

除了有一部分人经历早期结构进展外,8 年的纵向数据还允许确定晚期进展轨迹。纳入 KR 信息对于正确识别膝骨关节炎的纵向结构轨迹非常重要。