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Risk Factors for Treatment Failure With Antiosteoporosis Medication: The Global Longitudinal Study of Osteoporosis in Women (GLOW)

机译:抗骨质疏松症药物治疗失败的危险因素:女性骨质疏松症的全球纵向研究(GLOW)

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摘要

Antiosteoporosis medication (AOM) does not abolish fracture risk, and some individuals experience multiple fractures while on treatment. Therefore, criteria for treatment failure have recently been defined. Using data from the Global Longitudinal Study of Osteoporosis in Women (GLOW), we analyzed risk factors for treatment failure, defined as sustaining two or more fractures while on AOM. GLOW is a prospective, observational cohort study of women aged ≥55 years sampled from primary care practices in 10 countries. Self-administered questionnaires collected data on patient characteristics, fracture risk factors, previous fractures, AOM use, and health status. Data were analyzed from women who used the same class of AOM continuously over 3 survey years and had data available on fracture occurrence. Multivariable logistic regression was used to identify independent predictors of treatment failure. Data from 26,918 women were available, of whom 5550 were on AOM. During follow-up, 73 of 5550 women in the AOM group (1.3%) and 123 of 21,368 in the non-AOM group (0.6%) reported occurrence of two or more fractures. The following variables were associated with treatment failure: lower Short Form 36 Health Survey (SF-36) score (physical function and vitality) at baseline, higher Fracture Risk Assessment Tool (FRAX) score, falls in the past 12 months, selected comorbid conditions, prior fracture, current use of glucocorticoids, need of arms to assist to standing, and unexplained weight loss ≥10 lb (≥4.5 kg). Three variables remained predictive of treatment failure after multivariable analysis: worse SF-36 vitality score (odds ratio [OR] per 10-point increase, 0.85; 95% confidence interval [CI], 0.76-0.95; p = 0.004); two or more falls in the past year (OR, 2.40; 95% CI, 1.34-4.29; p = 0.011), and prior fracture (OR, 2.93; 95% CI, 1.81-4.75; p \u3c 0.0001). The C statistic for the model was 0.712. Specific strategies for fracture prevention should therefore be developed for this subgroup of patients. © 2014 American Society for Bone and Mineral Research.
机译:抗骨质疏松症药物(AOM)不会消除骨折的风险,有些人在治疗时会经历多发性骨折。因此,最近已经定义了治疗失败的标准。我们使用了女性骨质疏松症全球纵向研究(GLOW)的数据,分析了治疗失败的风险因素,定义为在接受AOM时承受两个或多个骨折。 GLOW是一项前瞻性,观察性队列研究,研究对象是从10个国家的初级保健实践中抽取的55岁以上的女性。自我管理的调查表收集了有关患者特征,骨折危险因素,以前的骨折,使用AOM和健康状况的数据。分析了来自妇女的数据,这些妇女在3个调查年中连续使用了相同类别的AOM,并且可以获得骨折发生的数据。多变量逻辑回归用于确定治疗失败的独立预测因素。现有26,918名妇女的数据,其中5550名妇女参加了AOM。在随访期间,AOM组的5550名女性中有73名(1.3%),非AOM组的21368名女性中有123名(0.6%)报告了发生了两个或更多的骨折。以下变量与治疗失败相关:基线时简短的36型健康调查(SF-36)得分(身体功能和活力)较低,骨折风险评估工具(FRAX)得分较高,在过去12个月内处于下降状态,某些合并症,先前骨折,目前使用糖皮质激素,需要手臂协助站立以及无法解释的体重减轻≥10lb(≥4.5kg)。多变量分析后,仍然有三个变量可预测治疗失败:SF-36活力评分较差(每增加10分,优势比[OR]为0.85; 95%置信区间[CI]为0.76-0.95; p = 0.004);在过去一年中有两次或两次以上跌落(OR,2.40; 95%CI,1.34-4.29; p = 0.011),以及先前的骨折(OR,2.93; 95%CI,1.81-4.75; p \ u3c 0.0001)。该模型的C统计量为0.712。因此,应该为这一亚组患者制定预防骨折的特殊策略。 ©2014美国骨骼和矿物质研究学会。

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