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·药物与临床·


          洛拉替尼的药物不良事件信号挖掘与分析
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          龙 霞 ,黄孟文 ,蒲诗云 ,王利辰 ,唐梦蛟 ,周后凤 (1.成都市第五人民医院药剂科,成都 611130;2.成都
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          中医药大学药学院,成都 611137;3.川北医学院药学院,四川 南充 637100;4.西南医科大学药学院,四川
          泸州 646000)
          中图分类号  R969.3      文献标志码  A      文章编号  1001-0408(2023)20-2513-06
          DOI  10.6039/j.issn.1001-0408.2023.20.12

          摘  要  目的  为临床安全使用洛拉替尼提供参考。方法  采用报告比值比(ROR)法、英国药品和保健品管理局综合标准法(简称
         “MHRA法”)和贝叶斯可信区间递进神经网络(BCPNN)法,对美国FDA不良事件报告系统(FAERS)中2019年第1季度至2022年
          第4季度关于洛拉替尼的数据进行药物不良事件(ADEs)信号检测。结果与结论  3种方法检出重叠的关于洛拉替尼的ADEs信号
          114个,其中说明书未提及的新的可疑ADEs信号73个。临床在使用洛拉替尼时,应特别关注发生例数和信号数均较多的ADEs,
          如各类神经系统疾病,精神病类疾病,呼吸系统、胸及纵隔疾病等,临床表现包括脑水肿、大脑梗死、肺动脉高压、缄默症、性欲降
          低、胸腔积液等。说明书中未提及的移动性血栓性静脉炎、放射性坏死、缄默症、膀胱输尿管反流在特异度高的BCPNN法检测中
          信号强度均为较强,也应引起临床重视。
          关键词  洛拉替尼;药物不良事件;信号挖掘

          Mining and analysis of lorlatinib-induced adverse drug event signals
          LONG Xia ,HUANG Mengwen ,PU Shiyun ,WANG Lichen ,TANG Mengjiao ,ZHOU Houfeng(1.  Dept.  of
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          Pharmacy,  Chengdu  Fifth  People’s  Hospital,  Chengdu  611130,  China;2.  School  of  Pharmacy,  Chengdu
          University  of  Traditional  Chinese  Medicine,  Chengdu  611137,China;3.  College  of  Pharmacy,  North  Sichuan
          Medical  College,  Sichuan  Nanchong  637100,  China;4.  College  of  Pharmacy,Southwest  Medical  University,
          Sichuan Luzhou 646000, China)
          ABSTRACT   OBJECTIVE  To  provide  references  for  the  safe  use  of  lorlatinib  in  clinical  practice.  METHODS  The  reporting
          odds  ratio (ROR)  method,  Medicines  and  Healthcare  Products  Regulatory Agency  comprehensive  standard  method (referred  to  as
         “MHRA  method”)  and  the  Bayesian  confidence  propagation  neural  network (BCPNN)  method  were  used  to  detect  adverse  drug
          events (ADEs) signals of lorlatinib in the FDA Adverse Event Reporting System from the first quarter of 2019 to the fourth quarter
          of  2022.  RESULTS  &  CONCLUSIONS  Totally  114  overlapping ADEs  signals  of  lorlatinib  were  detected  by  the  three  methods,
          among  which  there  were  73  new  suspicious  ADEs  signals  which  were  not  covered  in  the  instruction  of  lorlatinib.  When  using
          loratinib  in  clinical  practice,  special  attention  should  be  paid  to ADEs  with  a  high  number  of  cases  and  signals,  such  as  various
          neurological  diseases,  psychiatric  diseases,  respiratory  system,  thoracic  and  mediastinal  diseases;  clinical  manifestations  included
          cerebral  edema,  cerebral  infarction,  pulmonary  hypertension,  mutism,  decreased  sexual  desire,  pleural  effusion.  The  signals  of
          mobile  thrombophlebitis,  radiation  necrosis,  mutism,  vesicoureteral  reflux  not  mentioned  in  the  instructions  were  all  strong  in
          BCPNN detection with high specificity, to which we should pay attention in clinical application.
          KEYWORDS    lorlatinib; adverse drug event; signal mining


                                                                 肺癌是全球发病率第二、死亡率第一的癌症,也是
             Δ 基金项目 国家自然科学基金项目(No.82003828);成都市卫生
                                                                                         [1]
          健康委员会医学科研课题(No.2021006)                            我国发病率和死亡率最高的肿瘤 。2022年估计我国新
             *第一作者 主管药师。研究方向:临床药学、药物警戒。电话:                   确诊肺癌病例 870 982 例,死亡病例 766 898 例 。肺癌
                                                                                                     [2]
          028-82726075。E-mail:scdxhxyylx@163.com
                                                             可以分为小细胞肺癌和非小细胞肺癌(non-small-cell
             #  通信作者 主 任 药 师 。 研 究 方 向 :医 院 药 学 。 电 话 :028-
          82726075。E-mail:510823751@qq.com                   lung cancer,NSCLC)两种类型,其中 NSCLC 占大多数,


          中国药房  2023年第34卷第20期                                              China Pharmacy  2023 Vol. 34  No. 20    · 2513 ·
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