Goode Adam P, Cleveland Rebecca J, George Steven Z, Kraus Virginia B, Schwartz Todd A, Gracely Richard H, Jordan Joanne M, Golightly Yvonne M
Duke University School of Medicine and Duke University, Durham, North Carolina.
University of North Carolina, Chapel Hill.
Arthritis Care Res (Hoboken). 2020 Jul;72(7):974-981. doi: 10.1002/acr.23918. Epub 2020 Jun 11.
To determine if associations between demographic and clinical characteristics and appendicular joint osteoarthritis (OA) reflect different phenotypes of OA in the lumbar spine.
Participants were from the Johnston County OA Project. Demographic information consisted of age, sex, and race (white and African American), and clinical characteristics consisted of body mass index (BMI), low back pain and injury, and knee, hip, and hand OA. Participants were categorized as having spine OA, facet joint OA, both spine OA and facet joint OA, or neither spine OA nor facet joint OA (referent group). Multinomial regression models were used to determine odds ratios (ORs) and 95% confidence intervals (95% CIs).
Of 1,793 participants, the mean ± SD age was 66.2 ± 10.1 years, and the mean ± SD BMI was 30.7 ± 6.2. The majority of the participants were women (n = 1,144 [63.8%]), and 31.8% of the participants (n = 570) were African American. Eighteen percent of participants had neither spine OA nor facet joint OA, 22.8% had facet joint OA, 13.2% had spine OA, and 46.0% had both spine OA and facet joint OA. In adjusted analyses, African Americans were less likely to have facet joint OA (OR 0.68 [95% CI 0.49-0.95]) or both spine OA and facet joint OA (OR 0.51 [95% CI 0.37-0.70]). Women were more likely to have facet joint OA (OR 1.71 [95% CI 1.24-2.36]). Having a BMI of ≥30 was associated with having facet joint OA (OR 1.76 [95% CI 1.28-2.42]) and both spine OA and facet joint OA (OR 1.85 [95% CI 1.37-2.51]). Knee OA was associated with all 3 OA groups, while lower back injury was associated only with those with spine OA. Participants with hip OA were less likely to have facet joint OA.
Race, sex, BMI, hip OA, and lower back injury may help identify different OA phenotypes in the lumbar spine.
确定人口统计学和临床特征与附属关节骨关节炎(OA)之间的关联是否反映了腰椎OA的不同表型。
参与者来自约翰斯顿县OA项目。人口统计学信息包括年龄、性别和种族(白人和非裔美国人),临床特征包括体重指数(BMI)、下背痛和损伤,以及膝关节、髋关节和手部OA。参与者被分类为患有脊柱OA、小关节OA、同时患有脊柱OA和小关节OA,或既无脊柱OA也无小关节OA(参照组)。采用多项回归模型确定比值比(OR)和95%置信区间(95%CI)。
在1793名参与者中,平均年龄±标准差为66.2±10.1岁,平均BMI±标准差为30.7±6.2。大多数参与者为女性(n = 1144 [63.8%]),31.8%的参与者(n = 570)为非裔美国人。18%的参与者既无脊柱OA也无小关节OA,22.8%患有小关节OA,13.2%患有脊柱OA,46.0%同时患有脊柱OA和小关节OA。在调整分析中,非裔美国人患小关节OA(OR 0.68 [95%CI 0.49 - 0.95])或同时患有脊柱OA和小关节OA(OR 0.51 [95%CI 0.37 - 0.70])的可能性较小。女性患小关节OA的可能性更大(OR 1.71 [95%CI 1.24 - 2.36])。BMI≥30与患小关节OA(OR 1.76 [95%CI 1.28 - 2.42])以及同时患有脊柱OA和小关节OA(OR 1.85 [95%CI 1.37 - 2.51])相关。膝关节OA与所有3个OA组相关,而下背部损伤仅与患有脊柱OA的参与者相关。患有髋关节OA的参与者患小关节OA的可能性较小。
种族、性别、BMI、髋关节OA和下背部损伤可能有助于识别腰椎OA的不同表型。