Rheumatology, Department of Clinical Sciences, Malmö, Lund University, Malmö, Sweden.
Rheumatology, Department of Clinical Sciences, Malmö, Lund University, Malmö, Sweden.
Semin Arthritis Rheum. 2024 Oct;68:152497. doi: 10.1016/j.semarthrit.2024.152497. Epub 2024 Jun 27.
To examine the risk of fractures in a cohort of patients with newly diagnosed rheumatoid arthritis (RA), compared to the background population, and predictors of fractures detectable early in RA.
An inception cohort of patients with RA (N = 233; 164 women/69 men, recruited 1995-2005) was evaluated according to a structured program, including repeated clinical assessments and measures of bone mineral density (BMD), from diagnosis to 10 years later. Matched population controls were identified using the national census register. Fractures through 2019 were identified based on ICD codes. Cox regression models were used to assess the risk of fractures in RA patients compared with controls, and for assessment of potential predictors for fractures in the RA population.
RA patients had an increased risk of fractures (fully adjusted hazard ratio (HR) 1.52, 95 % CI 1.13; 2.06). In the RA cohort, high age, low body mass index, and low BMD were significant baseline predictors of future fractures in multivariate analyses, but baseline RA disease characteristics were not. Worse disability (i.e. higher Health Assessment Questionnaire (HAQ) scores) over time was significantly associated with increased risk of fractures (age-sex-adjusted HR 1.33 per SD, 95 % CI 1.09; 1.63) and there was an inverse association between BMD Z-scores over time and fractures.
Patients with RA had higher risk of fractures than controls. Fracture risk was related to BMD at baseline and over time in patients with RA. In addition, worse disability (measured by HAQ) over time was associated with higher risk of fractures.
在新诊断的类风湿关节炎(RA)患者队列中,与背景人群相比,检查骨折的风险,并预测 RA 早期可检测到的骨折。
根据结构化方案评估了一个包含 233 例 RA 患者(164 名女性/69 名男性,1995-2005 年招募)的起始队列,包括从诊断到 10 年后的重复临床评估和骨密度(BMD)测量。使用全国人口普查登记册确定匹配的人群对照。根据 ICD 代码确定 2019 年前的骨折。使用 Cox 回归模型评估 RA 患者与对照组相比的骨折风险,以及评估 RA 人群中骨折的潜在预测因素。
RA 患者骨折风险增加(完全调整后的危险比(HR)1.52,95%CI 1.13;2.06)。在 RA 队列中,高龄、低体重指数和低 BMD 是多变量分析中未来骨折的重要基线预测因素,但基线 RA 疾病特征不是。随着时间的推移,残疾程度(即更高的健康评估问卷(HAQ)评分)与骨折风险增加显著相关(年龄性别调整的 HR 为每 SD 1.33,95%CI 1.09;1.63),随着时间的推移,BMD Z 分数与骨折呈负相关。
与对照组相比,RA 患者骨折风险更高。RA 患者的骨折风险与基线和随时间推移的 BMD 相关。此外,随着时间的推移,残疾程度(由 HAQ 测量)恶化与骨折风险增加相关。