Drug-induced insulin autoimmune syndrome: a clinico-epidemiological analysis integrating pharmacovigilance data and case series.

IF 3.9 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Xiuheng Yu, Min Li, Yi Liao, Yuqing Xie, Jing Xu, Youqi Long, Shixin Xiang
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引用次数: 0

Abstract

Background: Insulin autoimmune syndrome (IAS) is a rare immune-mediated hypoglycemic disorder predominantly triggered by pharmacological agents. Despite the established links to thiol-containing drugs, emerging non-thiol triggers and significant geographical reporting biases limit comprehensive risk profiling. This study integrated pharmacovigilance data and published evidence to establish the first systematic epidemiological and pharmacological profile of drug-induced IAS.

Methods: We analysed 228 IAS cases from the FDA AE Reporting System (FAERS; 2004-Q2 2024) and a systematic review of 263 published cases (1980-2024). Multimodal disproportionality analysis-including Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Multi-item Gamma Poisson Shrinker (MGPS), and Bayesian Confidence Propagation Neural Network (BCPNN)-identified drug-induced adverse event signals. Associations were stratified into a three-tier evidence framework (Levels 1-3) based on methodological concordance, case counts, and strength of the supporting literature.

Results: Fifty-eight agents showed potential IAS associations, including 12 novel pharmacovigilance signals (e.g., bevacizumab, sitagliptin, amlodipine, and olmesartan). Thiol-containing drugs exhibit the strongest signals (PRR > 200; e.g., captopril, methimazole, and clopidogrel). Level 1 evidence (highest confidence) implicated the use of clopidogrel, captopril, omeprazole, and methimazole. IAS was predominantly affected in older patients (median age, 66 years; IQR, 58-77 years), with a male predominance (59.21%), reflecting sex-specific prescription patterns. Geographical disparities persisted, with 85.17% of the cases reported in the literature in Asia. Reports of hypoglycemia exceeded IAS cases for most agents, suggesting an underdiagnosis.

Conclusions: This study established the first evidence-based hierarchy for drug-induced IAS, identifying 58 agents warranting clinical vigilance. Thiol-containing drugs dominate the high-risk profile; however, novel associations (e.g., proton pump inhibitors (PPIs), dipeptidyl peptidase-4 (DPP-4) inhibitors) reveal broader immunological mechanisms. Clinicians should prioritize IAS in older patients with unexplained hypoglycemia exposed to antiplatelet agents or PPIs. Standardized diagnostic criteria and pharmacogenetic profiling (e.g., human leukocyte antigen DRB1 (HLA-DRB1) *04:06) are urgently required to improve detection.

药物性胰岛素自身免疫综合征:结合药物警戒数据和病例系列的临床流行病学分析
背景:胰岛素自身免疫综合征(IAS)是一种罕见的免疫介导的低血糖疾病,主要由药物引起。尽管与含硫醇的药物建立了联系,但新出现的非硫醇触发因素和显著的地理报告偏差限制了全面的风险分析。本研究综合了药物警戒数据和已发表的证据,建立了第一个系统的药物性IAS的流行病学和药理学概况。方法:我们分析了来自FDA AE报告系统(FAERS; 2004-Q2 2024)的228例IAS病例,并对1980-2024年发表的263例病例进行了系统回顾。多模态歧化分析——包括报告优势比(ROR)、比例报告比(PRR)、多项目伽玛泊松收缩比(MGPS)和贝叶斯置信传播神经网络(BCPNN)——识别药物引起的不良事件信号。根据方法学一致性、病例数和支持文献的强度,将关联分层为三层证据框架(1-3级)。结果:58种药物显示出潜在的IAS相关性,包括12种新的药物警戒信号(如贝伐单抗、西格列汀、氨氯地平和奥美沙坦)。含硫醇的药物表现出最强的信号(PRR bbb200,如卡托普利、甲巯咪唑和氯吡格雷)。一级证据(最高置信度)暗示使用氯吡格雷、卡托普利、奥美拉唑和甲巯咪唑。IAS主要发生在老年患者中(中位年龄66岁;IQR为58-77岁),男性居多(59.21%),反映了性别特异性的处方模式。地域差异依然存在,亚洲文献中报告的病例占85.17%。大多数药物的低血糖报告超过IAS病例,提示诊断不足。结论:本研究建立了首个以证据为基础的药物性IAS分级体系,确定了58种值得临床警惕的药物。含硫醇类药物是主要的高危药物;然而,新的关联(如质子泵抑制剂(PPIs),二肽基肽酶-4 (DPP-4)抑制剂)揭示了更广泛的免疫机制。临床医生应优先考虑接受抗血小板药物或PPIs治疗的不明原因低血糖的老年患者。迫切需要标准化的诊断标准和药理学分析(例如,人类白细胞抗原DRB1 (HLA-DRB1) *04:06)来提高检测。
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来源期刊
Diabetology & Metabolic Syndrome
Diabetology & Metabolic Syndrome ENDOCRINOLOGY & METABOLISM-
CiteScore
6.20
自引率
0.00%
发文量
170
审稿时长
7.5 months
期刊介绍: Diabetology & Metabolic Syndrome publishes articles on all aspects of the pathophysiology of diabetes and metabolic syndrome. By publishing original material exploring any area of laboratory, animal or clinical research into diabetes and metabolic syndrome, the journal offers a high-visibility forum for new insights and discussions into the issues of importance to the relevant community.
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