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药物性骨质疏松症中的性别差异:一项基于FAERS数据库的药物警戒研究。

Sex differences in drug-induced osteoporosis: a pharmacovigilance study based on the FAERS database.

作者信息

Liu Lu, Song Yongjia, Liu Xiaoyu, Song Bangguo, Song Min

机构信息

Clinical College of Traditional Chinese Medicine, Gansu University of Chinese Medicine, Lanzhou, China.

出版信息

Front Public Health. 2025 Jul 24;13:1630412. doi: 10.3389/fpubh.2025.1630412. eCollection 2025.

Abstract

BACKGROUND

Osteoporosis is a prevalent condition globally, often linked to a significant risk of fractures. Drug-induced osteoporosis (DIOP) is an increasingly recognized adverse effect of various medications, but the sex-specific risks and time-to-onset patterns remain inadequately understood. Addressing these gaps in knowledge is critical to improving patient safety and pharmacovigilance.

OBJECTIVE

This study aimed to explore sex-related differences in DIOP, identify high-risk medications, and assess the onset patterns of osteoporosis-related adverse events by analyzing data from the FDA Adverse Event Reporting System (FAERS) and validating the findings using the Canada Vigilance Adverse Reaction Online Database (Canada Vigilance ADR).

METHODS

We analyzed adverse event reports from the FAERS database covering the period from Q1 2004 to Q4 2024. Drugs were standardized using the RxNorm drug terminology system, and adverse events were matched to MedDRA 27.1. Disproportionality analysis was conducted using Reporting Odds Ratio (ROR), Multi-item Gamma Poisson Shrinker (MGPS), and Bayesian Confidence Propagation Neural Network (BCPNN) methods. To validate our findings, we performed external validation using the Canada Vigilance ADR database. Stratified analyses by sex were performed to assess differences in drug-osteoporosis associations.

RESULTS

A total of 236,928 osteoporosis-related reports were identified, with 64.6% of the reports coming from females. We identified 68 drugs associated with DIOP, including 15 male-specific and 26 female-specific potential risk drugs. Notable drugs such as tenofovir disoproxil and esomeprazole were linked to both sexes. Drugs like upadacitinib exhibited early-onset failure patterns, while others like tenofovir demonstrated cumulative risk patterns over prolonged use. External validation with the Canada Vigilance ADR confirmed 32 drugs with potential osteoporosis risks.

CONCLUSIONS

This study highlights important sex-specific differences in the risk of drug-induced osteoporosis and underscores the need for targeted pharmacovigilance strategies. The findings contribute to a more personalized approach to drug safety, promoting more informed decision-making regarding medication use in osteoporosis-prone populations.

摘要

背景

骨质疏松症在全球范围内普遍存在,常与骨折的重大风险相关。药物性骨质疏松症(DIOP)是各种药物日益被认识到的不良反应,但性别特异性风险和发病时间模式仍未得到充分了解。填补这些知识空白对于提高患者安全性和药物警戒至关重要。

目的

本研究旨在通过分析美国食品药品监督管理局不良事件报告系统(FAERS)的数据,探索DIOP中的性别差异,识别高风险药物,并评估骨质疏松症相关不良事件的发病模式,并使用加拿大警戒不良反应在线数据库(加拿大警戒ADR)验证研究结果。

方法

我们分析了FAERS数据库中涵盖2004年第一季度至2024年第四季度的不良事件报告。使用RxNorm药物术语系统对药物进行标准化,并将不良事件与MedDRA 27.1进行匹配。使用报告比值比(ROR)、多项目伽马泊松收缩器(MGPS)和贝叶斯置信传播神经网络(BCPNN)方法进行不成比例分析。为了验证我们的研究结果,我们使用加拿大警戒ADR数据库进行了外部验证。进行了按性别分层分析,以评估药物与骨质疏松症关联的差异。

结果

共识别出236,928份与骨质疏松症相关的报告,其中64.6% 的报告来自女性。我们识别出68种与DIOP相关的药物,包括15种男性特异性和26种女性特异性潜在风险药物。诸如替诺福韦酯和埃索美拉唑等知名药物与两性都有关联。乌帕替尼等药物表现出早期发病失败模式,而替诺福韦等其他药物在长期使用中表现出累积风险模式。加拿大警戒ADR的外部验证确认了32种具有潜在骨质疏松症风险的药物。

结论

本研究突出了药物性骨质疏松症风险中重要的性别特异性差异,并强调了针对性药物警戒策略的必要性。这些发现有助于采用更个性化的药物安全方法,促进在易患骨质疏松症人群中就药物使用做出更明智的决策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/403c/12328446/d6466fee8aa7/fpubh-13-1630412-g0001.jpg

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