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他汀类药物诱导的肌病和他汀类药物停药的多态跃迁模型。

A multistate transition model for statin-induced myopathy and statin discontinuation.

机构信息

Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, Ohio, USA.

Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio, USA.

出版信息

CPT Pharmacometrics Syst Pharmacol. 2021 Oct;10(10):1236-1244. doi: 10.1002/psp4.12691. Epub 2021 Sep 25.

Abstract

The overarching goal of this study was to simultaneously model the dynamic relationships among statin exposure, statin discontinuation, and potentially statin-related myopathic outcomes. We extracted data from the Indiana Network of Patient Care for 134,815 patients who received statin therapy between January 4, 2004, and December 31, 2008. All individuals began statin treatment, some discontinued statin use, and some experienced myopathy and/or rhabdomyolysis while taking the drug or after discontinuation. We developed a militate model to characterize 12 transition probabilities among six different states defined by use or discontinuation of statin and its associated myopathy or rhabdomyolysis. We found that discontinuation of statin therapy was common and frequently early, with 44.4% of patients discontinuing therapy after 1 month, and discontinuation is a strong indicator for statin-induced myopathy (risk ratio, 10.8; p < 0.05). Women more likely than men (p < 0.05) and patients aged 65 years and older had a higher risk than those aged younger than 65 years to discontinue statin use or experience myopathy. In conclusion, we introduce an innovative multistate model that allows clear depiction of the relationship between statin discontinuation and statin-induced myopathy. For the first time, we have successfully demonstrated and quantified the relative risk of myopathy between patients who continued and discontinued statin therapy. Age and sex were two strong risk factors for both statin discontinuation and incident myopathy.

摘要

本研究的总体目标是同时对他汀类药物暴露、他汀类药物停药和潜在他汀类药物相关肌病结局之间的动态关系进行建模。我们从印第安纳州患者护理网络提取了 134815 名接受他汀类药物治疗的患者的数据,这些患者的治疗时间从 2004 年 1 月 4 日至 2008 年 12 月 31 日。所有患者开始使用他汀类药物治疗,有些患者停止使用他汀类药物,有些患者在使用药物或停药后出现肌病和/或横纹肌溶解。我们开发了一个中间模型来描述由他汀类药物使用或停药及其相关肌病或横纹肌溶解定义的六个不同状态之间的 12 个转移概率。我们发现,他汀类药物治疗的停药很常见,且通常较早,44.4%的患者在 1 个月后停止治疗,停药是他汀类药物引起的肌病的一个强烈指标(风险比,10.8;p<0.05)。与男性相比,女性(p<0.05)和 65 岁及以上的患者比 65 岁以下的患者更有可能停止使用他汀类药物或出现肌病。总之,我们引入了一种创新的多状态模型,能够清晰地描述他汀类药物停药和他汀类药物引起的肌病之间的关系。我们首次成功地证明并量化了继续和停止他汀类药物治疗的患者之间肌病的相对风险。年龄和性别是他汀类药物停药和肌病发生的两个重要危险因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5479/8520747/59a8b866c423/PSP4-10-1236-g006.jpg

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