{"title":"甲状腺疾病与联合使用抗血管生成药物和免疫检查点抑制剂相关:一项药物警戒研究","authors":"L. Zhuge","doi":"10.1145/3545729.3545766","DOIUrl":null,"url":null,"abstract":"Purpose: Immune checkpoint inhibitors (ICIs), including anti-PD-1/L1 therapy and anti-CTLA-4 therapy, were reported with thyroid gland disorders adverse events. Recently, the FDA announced a warning that the combination of navolumab and cabozantinib can cause adrenal insufficiency. We performed a pharmacovigilance study to analyze the association between thyroid gland disorders and the use of ICI, anti-angiogenic agents or the combination treatment by mining the FDA adverse events reporting system (FAERS) database. Methods: Data were searched and analyzed in the US Food and Drug Administration Adverse Event Reporting System (FAERS) database. Thyroid gland disorders, including hypothyroidism, hyperthyroidism, autoimmune thyroiditis, were defined by the Medical Dictionary for Regulatory Activities (MedDRA). We conducted disproportionality analysis using reporting odds ratio (ROR). The result was defined as a signal if the lower limit of the 95% confidence interval for ROR is over 2, the number of cases ≥3. And additive and multiplicative models were applied to analyze drug interactions. Results: In the FAERS database, we identified 2862 cases of thyroid gland disorders, and the cases number for hyperthyroidism, hypothyroidism and thyroiditis were 767 and 1579 and 556. In the disproportionality analysis, for ICI drugs group, our study detected moderate to strong signals between ICIs and thyroid gland disorders. Among these subgroups, ICI-related thyroiditis was associated with the strongest signal (ROR 23.09 [95% CI 21.08-25.28]). As for anti-angiogenic drugs group, however, very weak signals were found between anti-angiogenic drugs and thyroid gland disorders, only hypothyroidism was found with a significant signal (ROR 4.87 [95% CI 4.60-5.16]). As for combined regimen groups, we didn't identify significantly increased signals of thyroid gland disorders than monotherapy treatment. And we didn't find interactions between ICI and anti-angiogenic drugs according to additive/multiplicative models. Conclusion: In our study, we confirmed the increased risk of thyroid gland disorders of ICIs and anti-angiogenic agents monotherapy, however, there were no increased signals when the combination therapy was used. In order to prevent serious outcomes, we should be aware of thyroid gland disorders' risk when using ICIs or anti-angiogenic agents.","PeriodicalId":432782,"journal":{"name":"Proceedings of the 6th International Conference on Medical and Health Informatics","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Thyroid Dland Disorders Associated with Combination of Antiangiogenic Agents and Immune Checkpoint Inhibitors: A Pharmacovigilance Study\",\"authors\":\"L. Zhuge\",\"doi\":\"10.1145/3545729.3545766\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Purpose: Immune checkpoint inhibitors (ICIs), including anti-PD-1/L1 therapy and anti-CTLA-4 therapy, were reported with thyroid gland disorders adverse events. Recently, the FDA announced a warning that the combination of navolumab and cabozantinib can cause adrenal insufficiency. We performed a pharmacovigilance study to analyze the association between thyroid gland disorders and the use of ICI, anti-angiogenic agents or the combination treatment by mining the FDA adverse events reporting system (FAERS) database. Methods: Data were searched and analyzed in the US Food and Drug Administration Adverse Event Reporting System (FAERS) database. Thyroid gland disorders, including hypothyroidism, hyperthyroidism, autoimmune thyroiditis, were defined by the Medical Dictionary for Regulatory Activities (MedDRA). We conducted disproportionality analysis using reporting odds ratio (ROR). The result was defined as a signal if the lower limit of the 95% confidence interval for ROR is over 2, the number of cases ≥3. And additive and multiplicative models were applied to analyze drug interactions. Results: In the FAERS database, we identified 2862 cases of thyroid gland disorders, and the cases number for hyperthyroidism, hypothyroidism and thyroiditis were 767 and 1579 and 556. In the disproportionality analysis, for ICI drugs group, our study detected moderate to strong signals between ICIs and thyroid gland disorders. Among these subgroups, ICI-related thyroiditis was associated with the strongest signal (ROR 23.09 [95% CI 21.08-25.28]). As for anti-angiogenic drugs group, however, very weak signals were found between anti-angiogenic drugs and thyroid gland disorders, only hypothyroidism was found with a significant signal (ROR 4.87 [95% CI 4.60-5.16]). As for combined regimen groups, we didn't identify significantly increased signals of thyroid gland disorders than monotherapy treatment. And we didn't find interactions between ICI and anti-angiogenic drugs according to additive/multiplicative models. Conclusion: In our study, we confirmed the increased risk of thyroid gland disorders of ICIs and anti-angiogenic agents monotherapy, however, there were no increased signals when the combination therapy was used. In order to prevent serious outcomes, we should be aware of thyroid gland disorders' risk when using ICIs or anti-angiogenic agents.\",\"PeriodicalId\":432782,\"journal\":{\"name\":\"Proceedings of the 6th International Conference on Medical and Health Informatics\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 6th International Conference on Medical and Health Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3545729.3545766\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th International Conference on Medical and Health Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3545729.3545766","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
目的:免疫检查点抑制剂(ICIs),包括抗pd -1/L1治疗和抗ctla -4治疗,被报道与甲状腺疾病不良事件。最近,FDA宣布了一项警告,navolumab和cabozantinib联合使用可能导致肾上腺功能不全。我们进行了一项药物警戒研究,通过挖掘FDA不良事件报告系统(FAERS)数据库,分析甲状腺疾病与使用ICI、抗血管生成药物或联合治疗之间的关系。方法:对美国食品药品监督管理局不良事件报告系统(FAERS)数据库中的数据进行检索和分析。甲状腺疾病,包括甲状腺功能减退、甲状腺功能亢进、自身免疫性甲状腺炎,由调节活动医学词典(MedDRA)定义。我们使用报告优势比(ROR)进行歧化分析。若ROR的95%置信区间下限大于2,病例数≥3,则该结果为信号。采用加性和乘法模型分析药物相互作用。结果:在FAERS数据库中,我们发现2862例甲状腺疾病,其中甲状腺功能亢进、甲状腺功能减退和甲状腺炎分别为767例、1579例和556例。在歧化分析中,对于ICI药物组,我们的研究发现了ICI与甲状腺疾病之间中度至强烈的信号。在这些亚组中,ici相关性甲状腺炎与最强信号相关(ROR 23.09 [95% CI 21.08-25.28])。而在抗血管生成药物组,抗血管生成药物与甲状腺疾病之间的信号非常弱,只有甲状腺功能减退有显著信号(ROR 4.87 [95% CI 4.60-5.16])。至于联合治疗组,我们没有发现甲状腺疾病的信号比单药治疗明显增加。根据加法/乘法模型,我们没有发现ICI和抗血管生成药物之间的相互作用。结论:在我们的研究中,我们证实了ICIs和抗血管生成药物单独治疗会增加甲状腺疾病的风险,然而,联合治疗时没有增加信号。为了防止严重的后果,在使用ICIs或抗血管生成药物时,我们应该意识到甲状腺疾病的风险。
Thyroid Dland Disorders Associated with Combination of Antiangiogenic Agents and Immune Checkpoint Inhibitors: A Pharmacovigilance Study
Purpose: Immune checkpoint inhibitors (ICIs), including anti-PD-1/L1 therapy and anti-CTLA-4 therapy, were reported with thyroid gland disorders adverse events. Recently, the FDA announced a warning that the combination of navolumab and cabozantinib can cause adrenal insufficiency. We performed a pharmacovigilance study to analyze the association between thyroid gland disorders and the use of ICI, anti-angiogenic agents or the combination treatment by mining the FDA adverse events reporting system (FAERS) database. Methods: Data were searched and analyzed in the US Food and Drug Administration Adverse Event Reporting System (FAERS) database. Thyroid gland disorders, including hypothyroidism, hyperthyroidism, autoimmune thyroiditis, were defined by the Medical Dictionary for Regulatory Activities (MedDRA). We conducted disproportionality analysis using reporting odds ratio (ROR). The result was defined as a signal if the lower limit of the 95% confidence interval for ROR is over 2, the number of cases ≥3. And additive and multiplicative models were applied to analyze drug interactions. Results: In the FAERS database, we identified 2862 cases of thyroid gland disorders, and the cases number for hyperthyroidism, hypothyroidism and thyroiditis were 767 and 1579 and 556. In the disproportionality analysis, for ICI drugs group, our study detected moderate to strong signals between ICIs and thyroid gland disorders. Among these subgroups, ICI-related thyroiditis was associated with the strongest signal (ROR 23.09 [95% CI 21.08-25.28]). As for anti-angiogenic drugs group, however, very weak signals were found between anti-angiogenic drugs and thyroid gland disorders, only hypothyroidism was found with a significant signal (ROR 4.87 [95% CI 4.60-5.16]). As for combined regimen groups, we didn't identify significantly increased signals of thyroid gland disorders than monotherapy treatment. And we didn't find interactions between ICI and anti-angiogenic drugs according to additive/multiplicative models. Conclusion: In our study, we confirmed the increased risk of thyroid gland disorders of ICIs and anti-angiogenic agents monotherapy, however, there were no increased signals when the combination therapy was used. In order to prevent serious outcomes, we should be aware of thyroid gland disorders' risk when using ICIs or anti-angiogenic agents.