二肽基肽酶-4(DPP-4)抑制剂在 2 型糖尿病患者中的不良反应发生率和预测因素:横断面研究。

IF 3 Q3 ENDOCRINOLOGY & METABOLISM Clinical Medicine Insights-Endocrinology and Diabetes Pub Date : 2024-10-23 eCollection Date: 2024-01-01 DOI:10.1177/11795514241288645
Swetha R Reghunath, Ashna Chackochan, Girish Thunga, Dinesh U Acharya, Kaniyoor Nagri Shivashankara, Attur Ravindra Prabhu, Leelavathi D Acharya
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引用次数: 0

摘要

背景:二肽基肽酶-4(DPP-4)抑制剂是印度广泛使用的口服降糖药,尽管存在安全问题。然而,有关其安全性的研究却很少,尤其是在南印度:目的:评估 2 型糖尿病(T2DM)患者服用 DPP-4 抑制剂后不良事件(AEs)的发生率和预测因素:这项回顾性横断面研究分析了南印度一家三级医院内科2019年至2021年收治的处方DPP-4抑制剂的T2DM患者的病历数据。采用世界卫生组织-乌普萨拉监测中心(WHO-UMC)标准和纳兰霍量表评估了AEs的因果关系,采用改良哈特维格和塞格尔量表评估了AEs的严重程度。我们采用了二元响应和 logit 链接函数的广义模型,以了解最能解释 AE 的因素。根据最小阿凯克信息准则和最高伪R 2选择了最佳拟合模型,并给出了带有95%置信区间的几率比(OR)。分析在 4.2.1 版 R 软件中进行:在纳入研究的 796 名患者中,26% 的患者出现了 AEs。共观察到212例AEs,其中沙格列汀相关AEs最多(66.6%)。肝脏相关不良反应占多数(37.7%),其次是胃肠道事件(16.5%)和电解质失衡(12.3%)。根据 WHO-UMC 标准(78.7%)和 Naranjo 评分标准(86.7%),大多数 AEs 都有可能发生,其中 58% 为中度严重,42% 为轻度。在多变量分析中,天门冬氨酸转氨酶[OR:1.013(0.006-1.020)]、碱性磷酸酶[OR:1.004(1.001-1.007)]和已服用DPP-4抑制剂的患者[OR 1.191(1.012-1.366)]是DPP-4抑制剂AEs的重要预测因素:该研究强调了DPP-4抑制剂AEs的高发生率,并确定了这些AEs的重要预测因素。这些发现强调了在为印度人群开具 DPP-4 抑制剂处方时进行警惕性监测和风险评估的必要性。
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Prevalence and Predictors of Adverse Events Associated With Dipeptidyl Peptidase-4 (DPP-4) Inhibitors in Type 2 Diabetic Patients: A Cross-sectional Study.

Background: Dipeptidyl peptidase-4 (DPP-4) inhibitors are oral hypoglycemic agents widely prescribed in India despite safety concerns. However, studies focused on their safety profile are scarce, especially in South India.

Objective: To evaluate the prevalence and predictors of adverse events (AEs) with DPP-4 inhibitors in patients with type 2 diabetes mellitus (T2DM).

Research design and methods: This retrospective cross-sectional study analyzed data from medical records of T2DM patients prescribed DPP-4 inhibitors admitted to the medicine department from 2019 to 2021 at a South Indian tertiary care hospital. The causality of AEs was assessed using the WHO-Uppsala Monitoring Centre (WHO-UMC) criteria and the Naranjo scale, and severity using the Modified Hartwig and Seigel scale. We applied a Generalized model with a binary response and logit-link function to understand the factors that best explain the AE. The best-fit models were chosen based on least Akaike's information criterion and highest PseudoR 2 and presented the odds ratio (OR) with a 95% confidence interval. The analyses were performed in R software version 4.2.1.

Results: Among the 796 patients included in the study, 26% experienced AEs. A total of 212 AEs were observed, and Saxagliptin-associated AEs were the most prevalent (66.6%). Hepatic AEs were predominant (37.7%), followed by gastrointestinal events (16.5%) and electrolyte imbalances (12.3%). Most AEs were possible based on WHO-UMC criteria (78.7%) and the Naranjo scale (86.7%), with 58% being of moderate severity and 42% mild. In the multivariate analysis, aspartate transaminase [OR: 1.013 (0.006-1.020)], alkaline phosphatase [OR: 1.004 (1.001-1.007)] and patients already on DPP-4 inhibitors [OR 1.191(1.012-1.366)] were significant predictors for AEs with DPP-4 inhibitors.

Conclusion: The study highlighted a high prevalence of AEs with DPP-4 inhibitors and identified significant predictors of these AEs. These findings underscore the necessity of vigilant monitoring and risk assessment while prescribing DPP-4 inhibitors to the Indian population.

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