Xiayang Ren, Lei Deng, Xin Dong, Ying Bai, Guohui Li, Yanfeng Wang
{"title":"免疫检查点抑制剂联合血管生成抑制剂的不良反应:药物-药物相互作用的药物警戒分析。","authors":"Xiayang Ren, Lei Deng, Xin Dong, Ying Bai, Guohui Li, Yanfeng Wang","doi":"10.1177/03946320241305390","DOIUrl":null,"url":null,"abstract":"<p><p>The combination of immune checkpoint inhibitors (ICIs) and angiogenesis inhibitors (AGIs) is widely used in cancer treatment; however, drug-drug reactions (DDIs) remain unknown. We aimed to identify interaction signals for the concomitant use of ICIs and AGIs. Data were obtained from the US FDA Adverse Event Reporting System (FAERS) from January 1, 2015, to December 31, 2023. Disproportionality analysis was used for data mining by calculating the reporting odds ratio (ROR) and 95% confidence interval (95% CI). Adjusted RORs were analysed using logistic regression analysis, considering age, sex and reporting year. Further confirmation was assessed via additive and multiplicative models. We identified 75,936 reports on ICIs combined with AGIs. Significant interaction signals were observed for hepatobiliary disorders (RORcrude: 5.25, 95% CI: 5.07-5.44, RORadj: 5.01, 95% CI: 4.82-5.22, additive models: 0.2323), investigations (RORcrude: 1.66, 95% CI: 1.62-1.70, RORadj: 1.63, 95% CI: 1.58-1.67, additive models: 0.2187, multiplicative models: 1.1265), renal and urinary disorders (RORcrude: 1.87, 95% CI: 1.80-1.95, RORadj: 1.72, 95% CI: 1.64-1.79, additive models: 0.3239, multiplicative models: 1.1799) and vascular disorders (RORcrude: 1.94, 95% CI: 1.87-2.02, RORadj: 1.87, 95% CI: 1.80-1.95, additive models: 0.5823, multiplicative models: 1.5676). Subset data analysis showed positive interaction signals for PDL-1/CTLA-4 inhibitors + AGI in hepatobiliary disorders, PD-1 inhibitors + AGI in investigations, or PD-1/PDL-1 inhibitors + AGI in renal and urinary/ vascular disorders. Based on FAERS data, four systemic disorders were identified as having DDIs related to the combined use of ICIs and AGIs. Pre-clinical trials are required to explore the mechanisms underlying these interactions.</p>","PeriodicalId":48647,"journal":{"name":"International Journal of Immunopathology and Pharmacology","volume":"38 ","pages":"3946320241305390"},"PeriodicalIF":3.5000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11632882/pdf/","citationCount":"0","resultStr":"{\"title\":\"Adverse reactions of immune checkpoint inhibitors combined with angiogenesis inhibitors: A pharmacovigilance analysis of drug-drug interactions.\",\"authors\":\"Xiayang Ren, Lei Deng, Xin Dong, Ying Bai, Guohui Li, Yanfeng Wang\",\"doi\":\"10.1177/03946320241305390\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The combination of immune checkpoint inhibitors (ICIs) and angiogenesis inhibitors (AGIs) is widely used in cancer treatment; however, drug-drug reactions (DDIs) remain unknown. We aimed to identify interaction signals for the concomitant use of ICIs and AGIs. Data were obtained from the US FDA Adverse Event Reporting System (FAERS) from January 1, 2015, to December 31, 2023. Disproportionality analysis was used for data mining by calculating the reporting odds ratio (ROR) and 95% confidence interval (95% CI). Adjusted RORs were analysed using logistic regression analysis, considering age, sex and reporting year. Further confirmation was assessed via additive and multiplicative models. We identified 75,936 reports on ICIs combined with AGIs. Significant interaction signals were observed for hepatobiliary disorders (RORcrude: 5.25, 95% CI: 5.07-5.44, RORadj: 5.01, 95% CI: 4.82-5.22, additive models: 0.2323), investigations (RORcrude: 1.66, 95% CI: 1.62-1.70, RORadj: 1.63, 95% CI: 1.58-1.67, additive models: 0.2187, multiplicative models: 1.1265), renal and urinary disorders (RORcrude: 1.87, 95% CI: 1.80-1.95, RORadj: 1.72, 95% CI: 1.64-1.79, additive models: 0.3239, multiplicative models: 1.1799) and vascular disorders (RORcrude: 1.94, 95% CI: 1.87-2.02, RORadj: 1.87, 95% CI: 1.80-1.95, additive models: 0.5823, multiplicative models: 1.5676). Subset data analysis showed positive interaction signals for PDL-1/CTLA-4 inhibitors + AGI in hepatobiliary disorders, PD-1 inhibitors + AGI in investigations, or PD-1/PDL-1 inhibitors + AGI in renal and urinary/ vascular disorders. Based on FAERS data, four systemic disorders were identified as having DDIs related to the combined use of ICIs and AGIs. 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Adverse reactions of immune checkpoint inhibitors combined with angiogenesis inhibitors: A pharmacovigilance analysis of drug-drug interactions.
The combination of immune checkpoint inhibitors (ICIs) and angiogenesis inhibitors (AGIs) is widely used in cancer treatment; however, drug-drug reactions (DDIs) remain unknown. We aimed to identify interaction signals for the concomitant use of ICIs and AGIs. Data were obtained from the US FDA Adverse Event Reporting System (FAERS) from January 1, 2015, to December 31, 2023. Disproportionality analysis was used for data mining by calculating the reporting odds ratio (ROR) and 95% confidence interval (95% CI). Adjusted RORs were analysed using logistic regression analysis, considering age, sex and reporting year. Further confirmation was assessed via additive and multiplicative models. We identified 75,936 reports on ICIs combined with AGIs. Significant interaction signals were observed for hepatobiliary disorders (RORcrude: 5.25, 95% CI: 5.07-5.44, RORadj: 5.01, 95% CI: 4.82-5.22, additive models: 0.2323), investigations (RORcrude: 1.66, 95% CI: 1.62-1.70, RORadj: 1.63, 95% CI: 1.58-1.67, additive models: 0.2187, multiplicative models: 1.1265), renal and urinary disorders (RORcrude: 1.87, 95% CI: 1.80-1.95, RORadj: 1.72, 95% CI: 1.64-1.79, additive models: 0.3239, multiplicative models: 1.1799) and vascular disorders (RORcrude: 1.94, 95% CI: 1.87-2.02, RORadj: 1.87, 95% CI: 1.80-1.95, additive models: 0.5823, multiplicative models: 1.5676). Subset data analysis showed positive interaction signals for PDL-1/CTLA-4 inhibitors + AGI in hepatobiliary disorders, PD-1 inhibitors + AGI in investigations, or PD-1/PDL-1 inhibitors + AGI in renal and urinary/ vascular disorders. Based on FAERS data, four systemic disorders were identified as having DDIs related to the combined use of ICIs and AGIs. Pre-clinical trials are required to explore the mechanisms underlying these interactions.
期刊介绍:
International Journal of Immunopathology and Pharmacology is an Open Access peer-reviewed journal publishing original papers describing research in the fields of immunology, pathology and pharmacology. The intention is that the journal should reflect both the experimental and clinical aspects of immunology as well as advances in the understanding of the pathology and pharmacology of the immune system.