Age-dependent FRAX-based assessment and intervention thresholds for therapeutic decision making in osteoporosis in the Malaysian population.

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-03-20 DOI:10.1007/s11657-024-01371-w
Jeyakantha Ratnasingam, Mariyam Niyaz, Shanmugam Mariyappan, Terence Ong, Siew Pheng Chan, Fen Lee Hew, Swan Sim Yeap, Shanty Velaiutham, Subashini C Thambiah, Sarath Lekamwasam
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Abstract

Fracture risk stratification is crucial in countries with limited access to bone density measurement. 24.8% women were in the high-risk category while 30.4% were in the low-risk category. In the intermediate risk group, after recalculation of fracture risk with bone density, 38.3% required treatment. In more than half, treatment decisions can be made without bone density.

Purpose: We aimed to examine the role of age-dependent intervention thresholds (ITs) applied to the Fracture Risk Assessment (FRAX) tool in therapeutic decision making for osteoporosis in the Malaysian population.

Methods: Data were collated from 1380 treatment-naïve postmenopausal women aged 40-85 years who underwent bone mineral density (BMD) measurements for clinical reasons. Age-dependent ITs, for both major osteoporotic fracture (MOF) and hip fracture (HF), were calculated considering a woman with a BMI of 25 kg/m2, aged between 40 and 85years, with a prior fragility fracture, sans other clinical risk factors. Those with fracture probabilities equal to or above upper assessment thresholds (UATs) were considered to have high fracture risk. Those below the lower assessment thresholds (LATs) were considered to have low fracture risk.

Results: The ITs of MOF and HF ranged from 0.7 to 18% and 0.2 to 8%, between 40 and 85years. The LATs of MOF ranged from 0.3 to 11%, while those of HF ranged from 0.1 to 5.2%. The UATs of MOF and HF were 0.8 to 21.6% and 0.2 to 9.6%, respectively. In this study, 24.8% women were in the high-risk category while 30.4% were in the low-risk category. Of the 44.8% (n=618) in the intermediate risk group, after recalculation of fracture risk with BMD input, 38.3% (237/618) were above the ITs while the rest (n=381, 61.7%) were below the ITs. Judged by the Youden Index, 11.5% MOF probability which was associated with a sensitivity of 0.62 and specificity of 0.83 and 4.0% HF probability associated with a sensitivity of 0.63 and a specificity 0.82 were found to be the most appropriate fixed ITs in this analysis.

Conclusion: Less than half of the study population (44.8%) required BMD for osteoporosis management when age-specific assessment thresholds were applied. Therefore, in more than half, therapeutic decisions can be made without BMD based on these assessment thresholds.

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基于年龄的 FRAX 评估和干预阈值,用于马来西亚人群骨质疏松症的治疗决策。
在骨密度测量条件有限的国家,骨折风险分层至关重要。24.8%的妇女属于高风险组,30.4%属于低风险组。在中危人群中,根据骨密度重新计算骨折风险后,38.3%的人需要治疗。目的:我们旨在研究应用于骨折风险评估(FRAX)工具的年龄干预阈值(ITs)在马来西亚骨质疏松症治疗决策中的作用:整理了 1380 名 40-85 岁绝经后未接受治疗的妇女的数据,这些妇女因临床原因接受了骨矿物质密度 (BMD) 测量。考虑到一名女性的体重指数为 25 kg/m2,年龄在 40-85 岁之间,曾发生过脆性骨折,且无其他临床风险因素,计算出了重大骨质疏松性骨折(MOF)和髋部骨折(HF)的年龄相关 IT。骨折概率等于或高于上评估阈值(UATs)者被认为具有高骨折风险。低于下评估阈值(LATs)者被视为骨折风险低:40至85岁人群中,MOF和HF的ITs介于0.7%至18%和0.2%至8%之间。MOF的LATs从0.3%到11%不等,而HF的LATs从0.1%到5.2%不等。MOF和HF的UAT分别为0.8%至21.6%和0.2%至9.6%。在这项研究中,24.8% 的女性属于高风险类别,30.4% 属于低风险类别。在 44.8%(样本数=618)的中危组中,在输入 BMD 重新计算骨折风险后,38.3%(样本数=237/618)高于 ITs,而其余(样本数=381,61.7%)则低于 ITs。根据尤登指数(Youden Index)判断,11.5%的MOF概率(灵敏度为0.62,特异度为0.83)和4.0%的HF概率(灵敏度为0.63,特异度为0.82)是本分析中最合适的固定ITs:在采用特定年龄评估阈值时,只有不到一半的研究对象(44.8%)需要使用 BMD 进行骨质疏松症治疗。因此,根据这些评估阈值,半数以上的人可以在没有 BMD 的情况下做出治疗决定。
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4.30%
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567
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