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使用美国食品药品监督管理局不良事件报告系统对七种用于高胆固醇血症管理的他汀类药物的不良事件概况进行比较分析。

Comparative Analysis of Adverse Event Profiles Among Seven Statins for Hypercholesterolemia Management Using the United States FDA Adverse Event Reporting System.

作者信息

Ogura Toru, Shiraishi Chihiro

机构信息

Clinical Research Support Center, Mie University Hospital, Tsu, JPN.

Pharmacy Department, Mie University Hospital, Tsu, JPN.

出版信息

Cureus. 2025 Mar 26;17(3):e81260. doi: 10.7759/cureus.81260. eCollection 2025 Mar.

DOI:10.7759/cureus.81260
PMID:40291284
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12032439/
Abstract

Background Statins are fundamental in hypercholesterolemia management, with seven primary drugs available: atorvastatin, simvastatin, rosuvastatin, pravastatin, lovastatin, fluvastatin, and pitavastatin. While sharing a common mechanism of action, these statins exhibit variations in pharmacokinetic (what the body does to the drug) and pharmacodynamic (what the drug does to the body) properties (e.g., lipophilicity, cytochrome P450 metabolism), which may influence their safety profiles. Adverse events (AEs) such as myopathy and hepatotoxicity vary across agents, complicating clinical decision-making. The guidelines lack robust comparisons of all seven statins' AE profiles, presenting challenges for clinicians in balancing potency and tolerability. Objectives This study aimed to comprehensively compare the AE patterns and safety profiles of the seven statins in hypercholesterolemia management through a retrospective analysis of the United States Food and Drug Administration Adverse Event Reporting System (FAERS) database. By focusing solely on hypercholesterolemia, we aimed to control for potential confounding factors, providing a more focused comparison of statin safety profiles. Methods We conducted a retrospective analysis using data from the FAERS between 2004 and 2024. To control for confounding factors, this study included only patients prescribed statins with a clearly documented indication of hypercholesterolemia management. Patients prescribed statins for other indications or with missing data on the reason for prescription were excluded. Comparative evaluations employed the reporting odds ratio (ROR) and adjusted ROR (aROR), which were chosen for their efficiency in ease of interpretation, ability to adjust for confounding factors, and compatibility with statistical testing frameworks. This compatibility allowed for rigorous multiple comparison analysis, where each statin was sequentially set as a reference in 21 pairwise comparisons. To address the multiple comparisons problem, this study applied the Bonferroni correction, adjusting the significance level to 0.05 / 21 = 0.0024. Patient background variables were used as adjustment factors for the aROR. AEs were classified into 10 categories based on their characteristics. Results With atorvastatin as the reference, five statins (simvastatin, rosuvastatin, pravastatin, fluvastatin, and pitavastatin) demonstrated both significant ROR > 1 and aROR > 1 for gastrointestinal disorders. Conversely, five statins (simvastatin, rosuvastatin, pravastatin, lovastatin, and pitavastatin) demonstrated both significant ROR < 1 and aROR < 1 for metabolic disorders. When other statins were set as the reference, no consistent pattern of exclusively significant ROR > 1 and aROR > 1 or significant ROR < 1 and aROR < 1 was observed across all AE categories. Instead, a heterogeneous distribution of outcomes was evident. These results indicate that the patterns of AEs differ for each statin. Conclusions This study reveals distinct AE profiles among seven statins, providing critical insights to guide personalized treatment strategies. By aligning patient risk factors with specific statin AE profiles, clinicians can implement more targeted approaches to minimize AEs, potentially improving adherence and treatment efficacy. These findings directly inform clinical decision-making, enabling healthcare providers to optimize statin selection and management for individual patients.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/018a/12032439/d99ccb394a8c/cureus-0017-00000081260-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/018a/12032439/d99ccb394a8c/cureus-0017-00000081260-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/018a/12032439/d99ccb394a8c/cureus-0017-00000081260-i01.jpg
摘要

背景 他汀类药物是高胆固醇血症管理的基础药物,有七种主要药物:阿托伐他汀、辛伐他汀、瑞舒伐他汀、普伐他汀、洛伐他汀、氟伐他汀和匹伐他汀。虽然这些他汀类药物具有共同的作用机制,但它们在药代动力学(机体对药物的作用)和药效学(药物对机体的作用)特性方面存在差异(例如亲脂性、细胞色素P450代谢),这可能会影响它们的安全性。诸如肌病和肝毒性等不良事件在不同药物之间有所不同,这使得临床决策变得复杂。指南缺乏对所有七种他汀类药物不良事件谱的有力比较,给临床医生在平衡药效和耐受性方面带来了挑战。

目的 本研究旨在通过对美国食品药品监督管理局不良事件报告系统(FAERS)数据库进行回顾性分析,全面比较七种他汀类药物在高胆固醇血症管理中的不良事件模式和安全性。通过仅关注高胆固醇血症,我们旨在控制潜在的混杂因素,从而更有针对性地比较他汀类药物的安全性。

方法 我们使用2004年至2024年期间FAERS的数据进行回顾性分析。为了控制混杂因素,本研究仅纳入有明确记录表明用于高胆固醇血症管理的他汀类药物处方患者。排除因其他适应症开具他汀类药物处方或处方原因数据缺失的患者。比较评估采用报告比值比(ROR)和调整后的ROR(aROR),选择它们是因为其在易于解释、调整混杂因素的能力以及与统计检验框架的兼容性方面具有优势。这种兼容性允许进行严格的多重比较分析,在21对比较中,每种他汀类药物依次作为参考。为了解决多重比较问题,本研究应用了Bonferroni校正,将显著性水平调整为0.05 / 21 = 0.0024。患者背景变量用作aROR的调整因素。不良事件根据其特征分为10类。

结果 以阿托伐他汀为参考,五种他汀类药物(辛伐他汀、瑞舒伐他汀、普伐他汀、氟伐他汀和匹伐他汀)在胃肠道疾病方面的ROR > 1和aROR > 1均具有统计学意义。相反,五种他汀类药物(辛伐他汀、瑞舒伐他汀、普伐他汀、洛伐他汀和匹伐他汀)在代谢紊乱方面的ROR < 1和aROR < 1均具有统计学意义。当将其他他汀类药物作为参考时,在所有不良事件类别中未观察到一致的仅ROR > 1和aROR > 1或ROR < 1和aROR < 1具有统计学意义的模式。相反,结果呈现出异质性分布。这些结果表明每种他汀类药物的不良事件模式不同。

结论 本研究揭示了七种他汀类药物不同的不良事件谱,为指导个性化治疗策略提供了关键见解。通过将患者风险因素与特定他汀类药物的不良事件谱相匹配,临床医生可以采用更具针对性的方法来最小化不良事件,可能提高依从性和治疗效果。这些发现直接为临床决策提供信息,使医疗保健提供者能够为个体患者优化他汀类药物的选择和管理。

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