Sayre Eric C, Guermazi Ali, Esdaile John M, Kopec Jacek A, Singer Joel, Thorne Anona, Nicolaou Savvas, Cibere Jolanda
Arthritis Research Canada, Richmond, BC, Canada.
Radiology, Boston University School of Medicine, Boston, MA, United States of America.
PLoS One. 2017 May 4;12(5):e0176833. doi: 10.1371/journal.pone.0176833. eCollection 2017.
To determine associations between features of osteoarthritis (OA) on MRI and knee pain severity and knee pain progression.
Baseline, 3.3- and 7.5-year assessments were performed for 122 subjects with baseline knee pain (age 40-79), sample-weighted for population (with knee pain) representativeness. MRIs were scored for: osteophytes (0:absent to 3:large); cartilage (0:normal to 4:full thickness defect; 0/1 collapsed); subchondral sclerosis (0:none to 3:>50% of site), subchondral cyst (0:absent to 3:severe), bone marrow lesions (0:none to 3:≥50% of site); and meniscus (0:normal to 3:maceration/resection), in 6-8 regions each. Per feature, scores were averaged across regions. Effusion/synovitis (0:absent to 3:severe) was analyzed as ≥2 vs. <2. Linear models predicted WOMAC knee pain severity (0-100), and binary models predicted 10+ (minimum perceptible clinical improvement [MPCI]) and 20+ (minimum clinically important difference [MCID]) increases. Models were adjusted for age, sex, BMI (and follow-up time for longitudinal models).
Pain severity was associated with osteophytes (7.17 per unit average; 95% CI = 3.19, 11.15) and subchondral sclerosis (11.03; 0.68, 21.39). MPCI-based pain increase was associated with osteophytes (odds ratio per unit average 3.20; 1.36, 7.55), subchondral sclerosis (5.69; 1.06, 30.44), meniscal damage (1.68; 1.08, 2.61) and effusion/synovitis ≥2 (2.25; 1.07, 4.71). MCID-based pain increase was associated with osteophytes (3.79; 1.41, 10.20) and cartilage defects (2.42; 1.24, 4.74).
Of the features investigated, only osteophytes were consistently associated with pain cross-sectionally and longitudinally in all models. This suggests an important role of bone in early knee osteoarthritis.
确定MRI上骨关节炎(OA)特征与膝关节疼痛严重程度及膝关节疼痛进展之间的关联。
对122名有基线膝关节疼痛(年龄40 - 79岁)的受试者进行基线、3.3年和7.5年评估,样本按人群(有膝关节疼痛者)代表性进行加权。MRI评分包括:骨赘(0:无至3:大);软骨(0:正常至4:全层缺损;0/1塌陷);软骨下硬化(0:无至3:>50%的部位),软骨下囊肿(0:无至3:严重),骨髓病变(0:无至3:≥50%的部位);以及半月板(0:正常至3:浸渍/切除),每个部位分6 - 8个区域进行评分。每个特征的评分在各区域进行平均。积液/滑膜炎(0:无至3:严重)分析为≥2与<2。线性模型预测WOMAC膝关节疼痛严重程度(0 - 100),二元模型预测疼痛增加10分以上(最小可察觉临床改善[MPCI])和20分以上(最小临床重要差异[MCID])。模型对年龄、性别、BMI(纵向模型还包括随访时间)进行了校正。
疼痛严重程度与骨赘(平均每单位7.17;95%置信区间 = 3.19,11.15)和软骨下硬化(11.03;0.68,21.39)相关。基于MPCI的疼痛增加与骨赘(平均每单位比值比3.20;1.36,7.55)、软骨下硬化(5.69;1.06,30.44)、半月板损伤(1.68;1.08,2.61)和积液/滑膜炎≥2(2.25;1.07,4.71)相关。基于MCID的疼痛增加与骨赘(3.79;1.41,10.20)和软骨缺损(2.42;1.24,4.74)相关。
在所研究的特征中,在所有模型中,只有骨赘在横断面和纵向上均与疼痛持续相关。这表明骨在早期膝关节骨关节炎中起重要作用。