Is the Association between Knee Injury and Knee Osteoarthritis Modified by the Presence of General Joint Hypermobility.

Is the Association between Knee Injury and Knee Osteoarthritis Modified by the Presence of General Joint Hypermobility.
复制标题

膝关节损伤和膝骨关节炎之间的关联是否因一般关节活动过度的存在而改变。

DOI:
10.1016/j.ocarto.2020.100045
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发表时间:
2020
期刊:
Osteoarthritis and cartilage open
影响因子:
--
通讯作者:
Golightly,YvonneM
Golightly,YvonneM
中科院分区:
--
文献类型:
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作者:
Shiue,KristinY;Cleveland,RebeccaJ;Schwartz,ToddA;Nelson,AmandaE;Kraus,VirginiaB;Hannan,MarianT;Hillstrom,HowardJ;Goode,AdamP;Flowers,PortiaPE;Renner,JordanB;Jordan,JoanneM;Golightly,YvonneM

文献摘要

相似文献

目的探讨关节高活动度是否能改变成人膝关节损伤与膝骨性关节炎(OA)之间的关系。方法数据来自三项研究:泛发性骨关节炎遗传学(Gogo;N=2341)、骨关节炎遗传学(GO;N=1872)和基于人群的约翰斯顿县骨关节炎项目(JoCoOA;N=1937)。膝关节损伤被定义为一种自我报告的先前骨折或双膝严重损伤。使用三个变量来定义骨关节炎:膝关节疼痛(大多数日子里膝关节疼痛、疼痛或僵硬)、放射学骨关节炎(ROA;Kellgren-Lawrence 2-4级)和症状性骨关节炎(sxOA;膝关节疼痛)。关节过度活动度被定义为Beighton Score≥4。在每项研究中,采用独立的Logistic回归模型,按关节过度活动度分层,调整年龄、性别、体重指数和种族(仅限JoCoOA),评估膝关节损伤与膝关节疼痛、ROA和sxOA的相关性;评估损伤和过度活动度之间的统计交互作用(p值和0.10)。结果在所有三项研究中,膝关节损伤与膝关节疼痛、ROA和sxOA相关(调整后的优势比为1.83-3.75)。膝关节损伤与ROA和sxOA的关联在Gogo有关节高活动度和无关节高活动度的个体中被放大:ROA AOR11.0,95%可信区间[CI]4.0-30.1vs.2.7,95%CI2.0-3.6,p=0.009;sxOAAOR9.2,95%CI3.5-24.3vs.3.3,95%CI2.4-4.4,p=0.032。在GO或JoCoOA中,相互作用在统计学上没有显著意义。结论在普通成人人群中,关节过度活动的存在可能不会改变膝关节损伤和OA之间的密切联系。
ObjectiveTo evaluate whether joint hypermobility modifies the association between knee joint injury and knee osteoarthritis (OA) among adults.MethodsData were from three studies: Genetics of Generalized Osteoarthritis (GOGO; N = 2341), Genetics of Osteoarthritis (GO; N = 1872), and the population-based Johnston County Osteoarthritis Project (JoCoOA;N= 1937). Knee injury was defined as a self-report of prior fracture or severe injury to either knee. OA was defined using three variables: knee pain (pain, aching, or stiffness of the knee on most days), radiographic OA (rOA; Kellgren-Lawrence grade 2–4), and symptomatic OA (sxOA; knee rOA with knee pain). Joint hypermobility was defined as Beighton score ≥4. For each study, separate logistic regression models, stratified by joint hypermobility, were used to estimate the association of knee injury with knee pain, rOA, and sxOA, adjusting for age, sex, body mass index, and race (JoCoOA only); statistical interactions between injury and hypermobility were assessed (p-value<0.10).ResultsIn all three studies, knee injury was associated with OA variables of knee pain, rOA, and sxOA (adjusted odds ratios [aOR] range 1.83–3.75). The association of knee injury with rOA and sxOA was magnified among individuals with vs. without joint hypermobility in GOGO: rOA aOR 11.0, 95% confidence interval [CI] 4.0–30.1 vs. 2.7, 95% CI 2.0–3.6, p = 0.009; sxOA aOR 9.2, 95% CI 3.5–24.3 vs. 3.3, 95% CI 2.4–4.4, p = 0.032. Interactions were not statistically significant in GO or JoCoOA.ConclusionsIn a general adult population, the presence of joint hypermobility may not modify the strong association between knee injury and OA.