他汀类药物和非贝特类药物联合治疗的安全性:静冈国宝数据库队列研究中的肝损伤和急性肾损伤风险。

IF 1.9 Q3 PHARMACOLOGY & PHARMACY
Drugs - Real World Outcomes Pub Date : 2024-06-01 Epub Date: 2024-05-10 DOI:10.1007/s40801-024-00426-1
Yohei Sobukawa, Taichi Hatta, Daito Funaki, Eiji Nakatani
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引用次数: 0

摘要

导言:他汀类药物和纤维素类药物是预防心血管疾病的重要手段,尤其是作为各种治疗策略的一部分联合用药时。在这项研究中,我们探讨了与这些药物的各种组合相关的风险:我们的目的是评估同时服用他汀类药物和纤维素类药物一年后因急性肾损伤、肝损伤、胰腺炎或横纹肌溶解症住院的风险:我们利用静冈国宝数据库中的数据进行了一项回顾性队列研究,主要针对他汀类药物、纤维酸盐或联合用药的患者。我们评估了四种药物暴露模式:在他汀类药物中添加纤维素类药物(暴露 1)、从纤维素类药物转为他汀类药物(暴露 2)、在他汀类药物中添加纤维素类药物(暴露 3)以及从他汀类药物转为纤维素类药物(暴露 4)。结果为 1 年内因特定病症住院。采用倾向得分匹配法创建平衡队列进行比较:我们对 269,226 名他汀类药物使用者和 16,282 名纤维素类药物使用者进行了研究。经过倾向得分匹配后,暴露1组中有498人,与纯纤维素组中的2988人匹配;暴露2组中有1180人,与纯纤维素组中的7080人匹配;暴露3组中有1183人,与他汀类药物组中的11830人匹配;暴露4组中有1356人,与他汀类药物组中的13560人匹配。暴露 1 组的 1 年肝损伤住院率高于纯纤维治疗组(1.2% 对 0.3%,P 结论:暴露 1 组的 1 年肝损伤住院率高于纯纤维治疗组:我们已经证实,他汀类药物和纤维素类药物联合使用时,1 年肝损伤或急性肾损伤住院风险较高。这强调了在开具此类联合用药处方时采取谨慎态度的必要性,以及监测患者潜在不良事件的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Safety of Combined Statin and Fibrate Therapy: Risks of Liver Injury and Acute Kidney Injury in a Cohort Study from the Shizuoka Kokuho Database.

Introduction: Statins and fibrates are important means of preventing cardiovascular diseases, particularly when administered in combination as part of various therapeutic strategies. In this study, we explored the risks associated with various combinations of these drugs.

Objective: We aimed to evaluate the risk of 1-year hospitalization with acute kidney injury, liver injury, pancreatitis, or rhabdomyolysis related to the concurrent administration of statins and fibrates.

Methods: We performed a retrospective cohort study using data from the Shizuoka Kokuho Database, focusing on patients prescribed statins, fibrates, or a combination. Four drug exposure patterns were evaluated: adding statins to fibrates (exposure 1), switching from fibrates to statins (exposure 2), adding fibrates to statins (exposure 3), and switching from statins to fibrates (exposure 4). Hospitalization for the specified conditions within 1 year was the outcome. Propensity score matching was used to create balanced cohorts for comparison.

Results: We studied 269,226 statin users and 16,282 fibrate users. After propensity score matching, there were 498 participants in the group of exposure 1, matched with 2988 in the fibrate-only group; 1180 in the group of exposure 2, matched with 7080 in the fibrate-only group; 1183 in group of exposure 3, matched with 11,830 in the statin only group; and 1356 in group of exposure 4, matched with 13,560 in the statin only group. The 1-year hospitalization rate with liver injury was higher in the group of exposure 1 than in the fibrate-only group (1.2% vs 0.3%, p < 0.01), in the group of exposure 2 than in the fibrate-only group (0.9% vs 0.3%, p < 0.01), and in the group of exposure 4 than in the statin-only group (0.6% vs 0.2%, p = 0.02). There was also a higher risk of 1-year hospitalization with acute kidney injury in group of exposure 1 than in the fibrate-only group (1.3% vs 0.3%, p = 0.01) but not in evaluations of exposure 2, 3, and 4. However, there were no differences in the risks of 1-year hospitalization with pancreatitis or rhabdomyolysis among the matched groups.

Conclusions: We have demonstrated higher risks of 1-year hospitalization with liver injury or acute kidney injury associated with the use of combinations of statins and fibrates. This underscores the need for a cautious approach to the prescribing of such drug combinations and the importance of monitoring patients for potential adverse events.

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来源期刊
Drugs - Real World Outcomes
Drugs - Real World Outcomes PHARMACOLOGY & PHARMACY-
CiteScore
3.60
自引率
5.00%
发文量
49
审稿时长
8 weeks
期刊介绍: Drugs - Real World Outcomes targets original research and definitive reviews regarding the use of real-world data to evaluate health outcomes and inform healthcare decision-making on drugs, devices and other interventions in clinical practice. The journal includes, but is not limited to, the following research areas: Using registries/databases/health records and other non-selected observational datasets to investigate: drug use and treatment outcomes prescription patterns drug safety signals adherence to treatment guidelines benefit : risk profiles comparative effectiveness economic analyses including cost-of-illness Data-driven research methodologies, including the capture, curation, search, sharing, analysis and interpretation of ‘big data’ Techniques and approaches to optimise real-world modelling.
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