Niinomi Iku, Hosohata Keiko, Oyama Saki, Inada Ayaka, Hirai Toshinori, Iwanaga Kazunori
Int J Clin Pharmacol Ther. 2020 Oct;58(10):543-549. doi: 10.5414/CP203724.
Thrombotic microangiopathy (TMA), often described as thrombotic thrombocytopenic purpura (TTP) or hemolytic uremic syndrome (HUS), is clinically problematic because it is life-threatening. However, up-to-date information on drugs inducing TMA is limited in the real-world setting. The purpose of this study was to clarify drugs associated with TMA using a spontaneous reporting system database.
We performed a retrospective pharmacovigilance disproportionality analysis using the Japanese Adverse Drug Event Report (JADER) database. Adverse event reports submitted to the Pharmaceuticals and Medical Devices Agency between 2004 and 2017 were analyzed. The drug-induced TMA, TTP, and HUS signals were estimated using disproportionality analysis with calculation of the reporting odds ratio (ROR) and 95% confidence interval (CI).
A total of 3,292 TMA cases were identified. In the overall analysis, approximately half of the TMA cases involved males, and the most patients were in their 60s. Signal scores of TMA were high for ticlopidine hydrochloride (ROR: 16.2, 95% CI: 12.9 - 20.5), busulfan (ROR: 15.2, 95% CI: 11.5 - 20.3), tacrolimus hydrate (ROR: 10.6, 95% CI: 9.59 - 11.8), gemcitabine hydrochloride (ROR: 10.5, 95% CI: 8.96 - 12.2), and cyclosporine (ROR: 8.70, 95% CI: 7.67 - 9.86). As for TTP or HUS, signal scores of TTP and HUS for tacrolimus and cyclosporine were similar; however, those of TTP for ticlopidine and those of HUS for gemcitabine were noteworthy, and other drugs showed varied likelihoods of reporting TTP and HUS.
Our results should raise physicians' awareness of drugs associated with TMA, but further investigation of these medications is warranted.
血栓性微血管病(TMA),常被描述为血栓性血小板减少性紫癜(TTP)或溶血尿毒综合征(HUS),因其危及生命而在临床上成为难题。然而,在现实环境中,关于诱发TMA的药物的最新信息有限。本研究的目的是使用自发报告系统数据库来阐明与TMA相关的药物。
我们使用日本药品不良反应报告(JADER)数据库进行了一项回顾性药物警戒不均衡性分析。分析了2004年至2017年期间提交给药品和医疗器械局的不良事件报告。通过不均衡性分析计算报告比值比(ROR)和95%置信区间(CI)来估计药物诱发的TMA、TTP和HUS信号。
共识别出3292例TMA病例。在总体分析中,约一半的TMA病例为男性,大多数患者年龄在60多岁。盐酸噻氯匹定(ROR:16.2,95%CI:12.9 - 20.5)、白消安(ROR:15.2,95%CI:11.5 - 20.3)、水合他克莫司(ROR:10.6,95%CI:9.59 - 11.8)、盐酸吉西他滨(ROR:10.5,95%CI:8.96 - 12.2)和环孢素(ROR:8.70,95%CI:7.67 - 9.86)的TMA信号得分较高。至于TTP或HUS,他克莫司和环孢素的TTP和HUS信号得分相似;然而,噻氯匹定的TTP信号得分以及吉西他滨的HUS信号得分值得关注,其他药物报告TTP和HUS的可能性各不相同。
我们的结果应提高医生对与TMA相关药物的认识,但有必要对这些药物进行进一步研究。