摘要
目的:分析临床使用纳武利尤单抗发生药品不良反应(ADR)的临床特点,为用药安全提供参考。方法:采用回顾性研究方法,收集某医院2018年1月-2022年1月发生纳武利尤单抗相关ADR的患者信息,对患者一般信息、基础疾病、用药剂量、联合用药、ADR累及系统/器官、ADR分级、临床转归等进行统计分析。结果:共涉及79例患者,男性52例(65.82%),女性27例(34.18%),年龄主要集中在50~69岁(58.23%);基础疾病以肺癌最为常见(22例,27.85%),其次为肝癌(18例,22.78%)和胃癌(18例,22.78%);79例患者共发生ADR 107例次,1~2级ADR 100例次(93.46%)、3~4级ADR 7例次(6.54%);ADR主要累及系统/器官为皮肤及其附件(27例次,25.23%)、肝胆系统(17例次,15.89%)、内分泌系统(15例次,14.02%)等;经停药和(或)对症治疗后好转或痊愈75例,死亡4例。结论:临床使用纳武利尤单抗时应评估患者的风险与收益,加强用药安全性监测,警惕ADR的发生。
Objective:To analyze the clinical characteristics of adverse drug reaction(ADR)induced by nivolumab,and provide references for safety drug use.Methods:Patients with ADR induced by nivolumab in a hospital from January 2018 to January 2022 were retrospectively collected and analyzed in terms of the general information,basic diseases,drug dosage,drug combination,systems/organs involved in ADR,ADR classification,and clinical outcomes,etc.Results:A total of 79 patients were involved including 52 males(65.82%)and 27 females(34.18%),mainly aged 50-69 years old(58.23%).Lung cancer was the most common underlying disease(22 cases,27.85%),followed by liver cancer(18 cases,22.78%)and gastric cancer(18 cases,22.78%).A total of ADR 107 times occurred in 79 patients,including grade 1 to 2 ADR 100 times(93.46%)and grade 3 to 4 ADR 7 times(6.54%).The mainly systems/organs involved in ADR were skin and its accessories(27 times,25.23%),hepatobiliary system(17 times,15.89%)and endocrine system(15 times,14.02%).After drug withdrawal and/or symptomatic treatment,75 cases improved or recovered and 4 cases died.Conclusion:It was suggested to pay more attentions to the safety of nivolumab including evaluating the risks and benefits of patients,strengthening monitoring and being alert to ADR induced by nivolulmab.
作者
孟祥君
卿磊
辛海莉
MENG Xiang-jun;QING Lei;XIN Hai-li(Department of Pharmacy,Medical Supplies Center of Chinese PLA General Hospital,Beijing 100853,China;Chongqing Medical University,Chongqing 400016,China)
出处
《中国药物应用与监测》
CAS
2023年第2期119-121,129,共4页
Chinese Journal of Drug Application and Monitoring
基金
中国人民解放军总医院大数据与人工智能研发项目(2019MBD-002)。