Association Between Antidiabetic Drugs and Delirium: A Study Based on the Adverse Drug Event Reporting Database in Japan.

IF 2.9 3区 医学 Q2 PHARMACOLOGY & PHARMACY
Clinical Drug Investigation Pub Date : 2024-02-01 Epub Date: 2023-12-23 DOI:10.1007/s40261-023-01337-9
Yukiko Ishibashi, Rintaro Sogawa, Kenji Ogata, Ayaka Matsuoka, Haruna Yamada, Toru Murakawa-Hirachi, Yoshito Mizoguchi, Akira Monji, Chisato Shimanoe
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Abstract

Background and objective: Several associations between diabetes mellitus and delirium have been reported; however, they have been inconsistent, and evidence on the effects of antidiabetic medications on delirium is also limited. This study aimed to investigate whether the use of antidiabetic drugs is a risk factor for delirium development.

Methods: Using the Japanese Adverse Event Reporting Database, we analyzed 662,899 reports between 2004 and 2022. Reporting odds ratios (RORs) and 95% confidence intervals (CIs) for delirium associated with diabetes and using each antidiabetic medication were calculated after adjusting for potential confounders.

Results: Overall, 8892 of the reports analyzed were associated with delirium. A comparison of the incidence of delirium between patients with and without diabetes showed no significant difference, with 1.34% in patients without diabetes and 1.37% in those with diabetes. In each antidiabetic medication, signals for delirium were detected for sulfonylurea (crude ROR, 1.35; 95% CI 1.21-1.51) and insulin (crude ROR, 1.28; 95% CI 1.13-1.44). These results were maintained even after adjusting for factors with potential confounders (sulfonylurea: adjusted ROR, 1.75; 95% CI 1.54-2.00, insulin: adjusted ROR, 1.35; 95% CI 1.20-1.54).

Conclusions: Our results suggest no association between diabetes and delirium; however, using sulfonylurea and insulin may be associated with delirium development. Nonetheless, these findings should be validated in future studies.

Abstract Image

抗糖尿病药物与谵妄之间的关系:基于日本药物不良事件报告数据库的研究。
背景和目的:有报道称糖尿病与谵妄之间存在一些关联,但这些关联并不一致,而且有关抗糖尿病药物对谵妄影响的证据也很有限。本研究旨在探讨使用抗糖尿病药物是否是导致谵妄的风险因素:方法:我们利用日本不良事件报告数据库,分析了 2004 年至 2022 年间的 662,899 份报告。在对潜在的混杂因素进行调整后,我们计算了与糖尿病和使用每种抗糖尿病药物相关的谵妄的报告几率比(ROR)和95%置信区间(CI):总体而言,8892 份分析报告与谵妄有关。对糖尿病患者和非糖尿病患者的谵妄发生率进行比较后发现,非糖尿病患者和糖尿病患者的谵妄发生率没有明显差异,非糖尿病患者的谵妄发生率为 1.34%,而糖尿病患者的谵妄发生率为 1.37%。在每种抗糖尿病药物中,磺脲类药物(粗ROR,1.35;95% CI,1.21-1.51)和胰岛素(粗ROR,1.28;95% CI,1.13-1.44)发现了谵妄信号。即使调整了潜在的混杂因素(磺脲类:调整后ROR为1.75;95% CI为1.54-2.00,胰岛素:调整后ROR为1.35;95% CI为1.20-1.54),这些结果仍然保持不变:我们的研究结果表明,糖尿病与谵妄之间没有关联;但是,使用磺脲类药物和胰岛素可能与谵妄的发生有关。尽管如此,这些研究结果仍需在今后的研究中加以验证。
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来源期刊
CiteScore
5.90
自引率
3.10%
发文量
108
审稿时长
6-12 weeks
期刊介绍: Clinical Drug Investigation provides rapid publication of original research covering all phases of clinical drug development and therapeutic use of drugs. The Journal includes: -Clinical trials, outcomes research, clinical pharmacoeconomic studies and pharmacoepidemiology studies with a strong link to optimum prescribing practice for a drug or group of drugs. -Clinical pharmacodynamic and clinical pharmacokinetic studies with a strong link to clinical practice. -Pharmacodynamic and pharmacokinetic studies in healthy volunteers in which significant implications for clinical prescribing are discussed. -Studies focusing on the application of drug delivery technology in healthcare. -Short communications and case study reports that meet the above criteria will also be considered. Additional digital features (including animated abstracts, video abstracts, slide decks, audio slides, instructional videos, infographics, podcasts and animations) can be published with articles; these are designed to increase the visibility, readership and educational value of the journal’s content. In addition, articles published in Clinical Drug Investigation may be accompanied by plain language summaries to assist readers who have some knowledge, but non in-depth expertise in, the area to understand important medical advances.
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