B. L. Wise, Department of Orthopaedic Surgery, University of California, Davis School of Medicine, Sacramento, CA, USA.
B. L. Wise, N. E. Lane, Department of Internal Medicine, University of California, Davis School of Medicine, Sacramento, CA, USA.
Clin Orthop Relat Res. 2020 Jul;478(7):1491-1502. doi: 10.1097/CORR.0000000000001219.
Knee osteoarthritis (OA) is more common in females than in males; however, the biological mechanisms for the difference in sex in patients with knee OA are not well understood. Knee shape is associated with OA and with sex, but the patterns of change in the bone's shape over time and their relation to sex and OA are unknown and may help inform how sex is associated with shape and OA and whether the effect is exerted early or later in life.Questions/purposes (1) Does knee shape segregate stably into different groups of trajectories of change (groups of knees that share similar patterns of changes in bone shape over time)? (2) Do females and males have different trajectories of bone shape changes? (3) Is radiographic OA at baseline associated with trajectories of bone shape changes?
We used data collected from the NIH-funded Osteoarthritis Initiative (OAI) to evaluate a cohort of people aged 45 to 79 years at baseline who had either symptomatic knee OA or were at high risk of having it. The OAI cohort included 4796 participants (58% females; n = 2804) at baseline who either had symptomatic knee OA (defined as having radiographic tibiofemoral knee OA and answering positively to the question "have you had pain, aching or stiffness around the knee on most days for at least one month during the past 12 months") or were at high risk of symptomatic knee OA (defined as having knee symptoms during the prior 12 months along with any of the following: overweight; knee injury; knee surgery other than replacement; family history of total knee replacement for OA; presence of Heberden's nodes; daily knee bending activity) or were part of a small nonexposed subcohort. From these participants, we limited the eligible group to those with radiographs available and read at baseline, 2 years, and 4 years, and randomly selected participants from each OAI subcohort in a manner to enrich representation in the study of the progression and nonexposed subcohorts, which were smaller in number than the OA incidence subcohort. From these patients, we randomly sampled 473 knees with radiographs available at baseline, 2 years, and 4 years. We outlined the shape of the distal femur and proximal tibia on radiographs at all three timepoints using statistical shape modelling. Five modes (each mode represents a particular type of knee bone shape variation) were derived for the proximal tibia and distal femur's shape, accounting for 78% of the total variance in shape. Group-based trajectory modelling (a statistical approach to identify the clusters of participants following a similar progression of change of bone shape over time, that is, trajectory group) was used to identify distinctive patterns of change in the bone shape for each mode. We examined the association of sex and radiographic OA at baseline with the trajectories of each bone shape mode using a multivariable polytomous regression model while adjusting for age, BMI, and race.
Knee bone shape change trajectories segregated stably into different groups. In all modes, three distinct trajectory groups were derived, with the mean posterior probabilities (a measure of an individual's probability of being in a particular group and often used to characterize how well the trajectory model is working to describe the population) ranging from 84% to 99%, indicating excellent model fitting. For most of the modes of both the femur and tibia, the intercepts for the three trajectory groups were different; however, the rates of change were generally similar in each mode. Females and males had different trajectories of bone shape change. For Mode 1 in the femur, females were more likely to be in trajectory Groups 3 (odds ratio 30.2 [95% CI 12.2 to 75.0]; p < 0.001) and 2 than males (OR 4.1 [95% CI 2.3 to 7.1]; p < 0.001); thus, females had increased depth of the intercondylar fossa and broader shaft width relative to epicondylar width compared with males. For Mode 1 in the tibia, females were less likely to be in trajectory Group 2 (OR 0.5 [95% CI 0.3 to 0.9]; p = 0.01) than males (that is, knees of females were less likely to display superior elevation of tibial plateau or decreased shaft width relative to head width). Radiographic OA at baseline was associated with specific shape-change trajectory groups. For Mode 1 in the femur, knees with OA were less likely to be in trajectory Groups 3 (OR 0.4 [95% CI 0.2 to 0.8]; p = 0.008) and 2 (OR 0.6 [95% CI 0.3 to 1.0]; p = 0.03) than knees without OA; thus, knees with OA had decreased depth of the intercondylar fossa and narrower shaft width relative to epicondylar width compared with knees without OA. For Mode 1 in the tibia, knees with OA were not associated with trajectory.
The shapes of the distal femur and proximal tibia did not change much over time. Sex and baseline knee radiographic OA status are associated with the trajectory of change in the bone's shape, suggesting that both may contribute earlier in life to the associations among trajectories observed in older individuals. Future studies might explore sex-related bone shape change earlier in life to help determine when the sex-specific shapes arise and also the degree to which these sex-related shapes are alterable by injury or other events.
Level III, prognostic study.
膝骨关节炎(OA)在女性中比男性更常见;然而,导致膝 OA 患者性别差异的生物学机制尚不清楚。膝关节的形状与 OA 和性别有关,但随着时间的推移,骨骼形状的变化模式及其与性别和 OA 的关系尚不清楚,这可能有助于了解性别与形状和 OA 的关系,以及这种效应是在生命早期还是晚期发挥作用。问题/目的(1)膝关节形状是否稳定地分为不同的变化轨迹组(随时间推移骨骼形状变化模式相似的膝关节组)?(2)女性和男性的骨骼形状变化轨迹是否不同?(3)基线的放射学 OA 是否与骨骼形状变化轨迹相关?
我们使用 NIH 资助的骨关节炎倡议(OAI)的数据评估了一个年龄在 45 至 79 岁之间的队列,该队列在基线时有症状性膝 OA 或有发生膝 OA 的高风险。OAI 队列包括 4796 名参与者(58%为女性;n=2804),他们要么患有症状性膝 OA(定义为存在放射学胫股膝关节 OA 并对以下问题回答“在过去 12 个月中,您的膝关节是否有疼痛、酸痛或僵硬,在过去 12 个月中的至少一个月中,大多数日子都有这种情况”),要么有发生症状性膝 OA 的高风险(定义为过去 12 个月中膝关节有症状,同时存在以下任何一种情况:超重;膝关节受伤;除置换术以外的膝关节手术;家族中有人因 OA 接受了全膝关节置换;存在赫伯登结节;每天有膝关节弯曲活动),或者属于小型非暴露亚组。从这些参与者中,我们将符合条件的人群限制为基线、2 年和 4 年时可获得影像学检查和影像学检查的患者,并以一种方式从每个 OAI 亚组中随机选择参与者,以增加研究进展和非暴露亚组的代表性,这两个亚组的人数都比 OA 发病率亚组少。从这些患者中,我们随机抽取了 473 个在基线、2 年和 4 年时可获得影像学检查的膝关节。我们使用统计形状建模方法在所有三个时间点上对远端股骨和近端胫骨的形状进行了描绘。为了描述形状的变化,我们从胫骨和股骨的近端和远端分别提取了 5 个模式(每个模式代表一种特定的膝关节骨形状变化),总共占形状总方差的 78%。基于群组的轨迹建模(一种用于识别参与者随时间推移骨骼形状变化相似的轨迹聚类的统计方法,即轨迹组)用于确定每个模式的骨骼形状变化的独特模式。我们使用多变量多项回归模型,同时调整年龄、BMI 和种族,来检查基线时的性别和放射学 OA 与每个骨骼形状模式轨迹的关联。
膝关节骨形状变化轨迹稳定地分为不同的组。在所有模式中,都得出了 3 个不同的轨迹组,平均后验概率(衡量个体属于特定组的概率的指标,通常用于描述轨迹模型描述人群的效果)范围为 84%至 99%,表明模型拟合效果良好。对于股骨和胫骨的大多数模式,3 个轨迹组的截距不同;然而,在每个模式中,变化率大致相似。女性和男性的骨骼形状变化轨迹不同。在股骨的模式 1 中,与男性相比,女性更有可能处于轨迹组 3(比值比 30.2[95%CI 12.2 至 75.0];p<0.001)和 2(比值比 4.1[95%CI 2.3 至 7.1];p<0.001),这意味着女性的髁间窝深度增加,骨干宽度相对于髁间宽度更宽。在胫骨的模式 1 中,女性比男性更不可能处于轨迹组 2(比值比 0.5[95%CI 0.3 至 0.9];p=0.01),即女性的胫骨平台的上抬程度较低,骨干宽度相对于头部宽度较窄。基线时的放射学 OA 与特定的形状变化轨迹组相关。在股骨的模式 1 中,与没有 OA 的膝关节相比,有 OA 的膝关节更不可能处于轨迹组 3(比值比 0.4[95%CI 0.2 至 0.8];p=0.008)和 2(比值比 0.6[95%CI 0.3 至 1.0];p=0.03),这意味着与没有 OA 的膝关节相比,有 OA 的膝关节的髁间窝深度减小,骨干宽度相对于髁间宽度较窄。在胫骨的模式 1 中,OA 与轨迹没有关联。
股骨远端和胫骨近端的形状随时间变化不大。性别和基线膝关节放射学 OA 状态与骨骼形状变化的轨迹相关,这表明两者可能在生命早期就对在老年人群中观察到的轨迹之间的关联有贡献。未来的研究可能会探索早期的与性别相关的骨骼形状变化,以帮助确定性别相关的形状何时出现,以及这些性别相关的形状在多大程度上可以通过损伤或其他事件改变。
III 级,预后研究。