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基于FRAX®建立类风湿关节炎相关性脆性骨折的初步干预阈值:一项为期3年的纵向观察性队列研究。

Establishment of a preliminary FRAX®-based intervention threshold for rheumatoid arthritis-associated fragility fracture: a 3-year longitudinal, observational, cohort study.

作者信息

Yu Shan-Fu, Chen Ming-Han, Chen Jia-Feng, Wang Yu-Wei, Chen Ying-Chou, Hsu Chung-Yuan, Lai Han-Ming, Chiu Wen-Chan, Ko Chi-Hua, He Hsiao-Ru, Cheng Tien-Tsai

机构信息

Division of Rheumatology, Allergy, and Immunology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung CityCollege of Medicine, Chang Gung University, Taoyuan.

Division of Allergy- Immunology- Rheumatology, Department of Medicine, Taipei Veterans General Hospital, Taipei.

出版信息

Ther Adv Chronic Dis. 2022 Feb 25;13:20406223221078089. doi: 10.1177/20406223221078089. eCollection 2022.

DOI:10.1177/20406223221078089
PMID:35237398
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8882932/
Abstract

BACKGROUND

To establish a FRAX®-based prediction model for rheumatoid arthritis (RA)-associated fragility fracture.

METHODS

This study is a longitudinal, real-world, registry cohort study. Patients with RA were registered to start in September 2014. The baseline demographics, bone mineral density (BMD), and risk factors of osteoporosis or fragility fracture were recorded. Subsequent fragility fractures during the 3-year observation period were also recorded. We developed a fixed intervention threshold (FITD) to identify fractures by choosing an optimal cut-off point on the receiver operating characteristic (ROC) curve and FRAX®. Several models for intervention thresholds (IT), including fixed intervention threshold (Taiwan) (FITT), age-specific individual intervention threshold (IIT), and hybrid intervention threshold (HIT), were compared to evaluate which IT model will have better discriminative power.

RESULTS

As of December 2020, a total of 493 RA participants have completed the 3-year observation study. The mean age of the participants was 59.3 ± 8.7, and 116 (23.5%) new fragility fractures were observed during the study period. In terms of pairwise comparisons of area under the curve (, 95% confidence interval) in the ROC curve, the FITD (0.669, 0.610-0.727,  < 0.001) with a value of 22% in major osteoporotic fracture and FITT (0.640, 0.582-0.699,  < 0.001) is significantly better than reference, but not for IIT (0.543, 0.485-0.601,  = 0.165) and HIT (0.543, 0.485-0.601,  = 0.165).

CONCLUSION

An optimal FIT is established for intervention decisions in RA-associated fragility fractures. This model can offer an easy and simple guide to aid RA caregivers to provide interventions to prevent fragility fractures in patients with RA.

摘要

背景

建立基于FRAX®的类风湿关节炎(RA)相关脆性骨折预测模型。

方法

本研究是一项纵向、真实世界的注册队列研究。RA患者于2014年9月开始注册。记录基线人口统计学、骨密度(BMD)以及骨质疏松或脆性骨折的危险因素。还记录了3年观察期内随后发生的脆性骨折情况。我们通过在受试者工作特征(ROC)曲线和FRAX®上选择最佳切点,制定了固定干预阈值(FITD)以识别骨折。比较了几种干预阈值(IT)模型,包括固定干预阈值(台湾)(FITT)、年龄特异性个体干预阈值(IIT)和混合干预阈值(HIT),以评估哪种IT模型具有更好的判别能力。

结果

截至2020年12月,共有493名RA参与者完成了3年观察研究。参与者的平均年龄为59.3±8.7岁,研究期间观察到116例(23.5%)新发脆性骨折。在ROC曲线中曲线下面积(,95%置信区间)的两两比较方面,主要骨质疏松性骨折值为22%的FITD(0.669,0.610 - 0.727,<0.001)和FITT(0.640,0.582 - 0.699,<0.001)显著优于参考值,但IIT(0.543,0.485 - 0.601,=0.165)和HIT(0.543,0.485 - 0.601,=0.165)并非如此。

结论

为RA相关脆性骨折的干预决策建立了最佳FIT。该模型可为RA护理人员提供简单易行的指导,以帮助他们为RA患者提供预防脆性骨折的干预措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bcf/8882932/e1a677065f3e/10.1177_20406223221078089-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bcf/8882932/d0e8d954d0a6/10.1177_20406223221078089-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bcf/8882932/e1a677065f3e/10.1177_20406223221078089-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bcf/8882932/d0e8d954d0a6/10.1177_20406223221078089-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bcf/8882932/e1a677065f3e/10.1177_20406223221078089-fig2.jpg

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The impact of long-term biologics/target therapy on bone mineral density in rheumatoid arthritis: a propensity score-matched analysis.长期生物制剂/靶向治疗对类风湿关节炎患者骨密度的影响:倾向评分匹配分析。
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Algorithm for the management of patients at low, high and very high risk of osteoporotic fractures.
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