【摘要】 目的探讨类风湿关节炎(rheumatoid arthritis,RA)合并骨质疏松与7关节超声评分(7-joint ultrasound score,US7)相关性并建立骨质疏松预测模型。方法 123例RA患者根据骨密度检测结果分为骨质疏松组、低骨量组和骨量正常组,进行病史记录、血清学检测、US7超声评分,通过多元logistic回归分析建立预测模型。结果多元Logistic回归分析显示:年龄、病程、DAS28、抗环瓜氨酸抗体(CCP)是骨质疏松组与骨量正常组、低骨量组与骨量正常组的危险因子(P<0.001)。预测模型总符合率78.0%,骨质疏松模型符合率87.5%、低骨量模型53.3%、正常模型82.8%。结论年龄、病程、DAS28、CCP是RA患者骨量异常的危险因子,建立的骨质疏松模型可为预测RA患者骨质疏松提供重要参考。更多还原

【Abstract】 Objective To explore the correlation between rheumatoid arthritis( RA) osteoporosis and 7-joint ultrasound score( US7) and establish osteoporosis prediction model. Methods 123 RA patients were divided into osteoporosis group,osteopenia group and normal bone mass group according to the test result of bone densitometer. Medical history records,serological tests,US7 ultrasound scores were established,and the prediction model was established by multiple logistic regression analysis. Results Multiple logistic regression analysis showed that age,course of disease,DAS28,and anti-cyclic citrulline antibody( CCP) were the risk factors for osteoporosis group and normal bone mass group,osteopenia group and normal bone mass group( P<0. 001).The total coincidence rate of the prediction model is 78. 0 %,the coincidence rate of the osteoporosis model is 87. 5 %,the osteopenia model is 53. 3 %,and the normal model is 82. 8 %. Conclusion Age,course of disease,DAS28,CCP are the risk factors for abnormal bone mass in RA patients. The established osteoporosis model can provide an important reference for predicting osteoporosis in RA patients.更多还原