Harmanjit Singh, Navreet Kaur Natt, Dwividendra Kumar Nim
{"title":"胰高血糖素样肽-1激动剂与糖尿病视网膜病变风险之间的关系：使用FDA不良事件报告系统数据的歧化分析","authors":"Harmanjit Singh, Navreet Kaur Natt, Dwividendra Kumar Nim","doi":"10.1080/17446651.2025.2459720","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Glucagon-like peptide-1 (GLP-1) agonists are commonly prescribed for type 2 diabetes mellitus (T2DM). Concerns have emerged regarding their potential link to diabetic retinopathy (DR).</p><p><strong>Methods: </strong>To evaluate the association between GLP-1 agonists and DR, a disproportionality analysis was conducted using FDA Adverse Event Reporting System (FAERS) data from Q4/2003 to Q2/2024 via OpenVigil 2.1 software. We focused on GLP-1 agonists and glucose-dependent insulinotropic polypeptide (GIP) agonist: Semaglutide, liraglutide, dulaglutide, lixisenatide, and tirzepatide, as primary suspect drugs. 'Diabetic retinopathy' was the key search term mapped to Medical Dictionary for Regulatory Activities (MedDRA) Lower-Level Terms (LLTs). We calculated Proportional Reporting Ratio (PRR) and Reporting Odds Ratio (ROR), with 95% confidence intervals (CI) and the Evans' criteria were applied to check the significant associations.</p><p><strong>Results: </strong>Semaglutide (PRR: 19.43, 95% CI: 15.17-24.88; ROR: 19.48, 95% CI: 15.20-24.96; Chi-square: 1078.08) and dulaglutide (PRR: 9.01, 95% CI: 7.11-11.42; ROR: 9.02, 95% CI: 7.11-11.44; Chi-square: 478.31) showed a strong association with DR. Tirzepatide and liraglutide showed a weaker but significant association while lixisenatide showed no significant association.</p><p><strong>Conclusion: </strong>GLP-1 agonists (except lixisenatide) were found to be associated with DR. These findings emphasize the need for close monitoring and further research to clarify these associations.</p>","PeriodicalId":12107,"journal":{"name":"Expert Review of Endocrinology & Metabolism","volume":" ","pages":"147-152"},"PeriodicalIF":2.7000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Association between glucagon-like peptide-1 agonists and risk of diabetic retinopathy: a disproportionality analysis using FDA adverse event reporting system data.\",\"authors\":\"Harmanjit Singh, Navreet Kaur Natt, Dwividendra Kumar Nim\",\"doi\":\"10.1080/17446651.2025.2459720\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Glucagon-like peptide-1 (GLP-1) agonists are commonly prescribed for type 2 diabetes mellitus (T2DM). Concerns have emerged regarding their potential link to diabetic retinopathy (DR).</p><p><strong>Methods: </strong>To evaluate the association between GLP-1 agonists and DR, a disproportionality analysis was conducted using FDA Adverse Event Reporting System (FAERS) data from Q4/2003 to Q2/2024 via OpenVigil 2.1 software. We focused on GLP-1 agonists and glucose-dependent insulinotropic polypeptide (GIP) agonist: Semaglutide, liraglutide, dulaglutide, lixisenatide, and tirzepatide, as primary suspect drugs. 'Diabetic retinopathy' was the key search term mapped to Medical Dictionary for Regulatory Activities (MedDRA) Lower-Level Terms (LLTs). We calculated Proportional Reporting Ratio (PRR) and Reporting Odds Ratio (ROR), with 95% confidence intervals (CI) and the Evans' criteria were applied to check the significant associations.</p><p><strong>Results: </strong>Semaglutide (PRR: 19.43, 95% CI: 15.17-24.88; ROR: 19.48, 95% CI: 15.20-24.96; Chi-square: 1078.08) and dulaglutide (PRR: 9.01, 95% CI: 7.11-11.42; ROR: 9.02, 95% CI: 7.11-11.44; Chi-square: 478.31) showed a strong association with DR. Tirzepatide and liraglutide showed a weaker but significant association while lixisenatide showed no significant association.</p><p><strong>Conclusion: </strong>GLP-1 agonists (except lixisenatide) were found to be associated with DR. 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Association between glucagon-like peptide-1 agonists and risk of diabetic retinopathy: a disproportionality analysis using FDA adverse event reporting system data.
Background: Glucagon-like peptide-1 (GLP-1) agonists are commonly prescribed for type 2 diabetes mellitus (T2DM). Concerns have emerged regarding their potential link to diabetic retinopathy (DR).
Methods: To evaluate the association between GLP-1 agonists and DR, a disproportionality analysis was conducted using FDA Adverse Event Reporting System (FAERS) data from Q4/2003 to Q2/2024 via OpenVigil 2.1 software. We focused on GLP-1 agonists and glucose-dependent insulinotropic polypeptide (GIP) agonist: Semaglutide, liraglutide, dulaglutide, lixisenatide, and tirzepatide, as primary suspect drugs. 'Diabetic retinopathy' was the key search term mapped to Medical Dictionary for Regulatory Activities (MedDRA) Lower-Level Terms (LLTs). We calculated Proportional Reporting Ratio (PRR) and Reporting Odds Ratio (ROR), with 95% confidence intervals (CI) and the Evans' criteria were applied to check the significant associations.
Results: Semaglutide (PRR: 19.43, 95% CI: 15.17-24.88; ROR: 19.48, 95% CI: 15.20-24.96; Chi-square: 1078.08) and dulaglutide (PRR: 9.01, 95% CI: 7.11-11.42; ROR: 9.02, 95% CI: 7.11-11.44; Chi-square: 478.31) showed a strong association with DR. Tirzepatide and liraglutide showed a weaker but significant association while lixisenatide showed no significant association.
Conclusion: GLP-1 agonists (except lixisenatide) were found to be associated with DR. These findings emphasize the need for close monitoring and further research to clarify these associations.
期刊介绍：
Implicated in a plethora of regulatory dysfunctions involving growth and development, metabolism, electrolyte balances and reproduction, endocrine disruption is one of the highest priority research topics in the world. As a result, we are now in a position to better detect, characterize and overcome the damage mediated by adverse interaction with the endocrine system. Expert Review of Endocrinology and Metabolism (ISSN 1744-6651), provides extensive coverage of state-of-the-art research and clinical advancements in the field of endocrine control and metabolism, with a focus on screening, prevention, diagnostics, existing and novel therapeutics, as well as related molecular genetics, pathophysiology and epidemiology.
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