首页|阿昔替尼应用于泌尿系统肿瘤及其他全身系统疾病的不良事件分析

阿昔替尼应用于泌尿系统肿瘤及其他全身系统疾病的不良事件分析

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目的 挖掘阿昔替尼的风险信号,为临床安全合理用药提供参考。方法 收集FAERS数据库2012年1月1日至2024年6月30日的阿昔替尼相关不良事件报告数据。采用比例失衡法中的报告比值比(ROR)法和贝叶斯可信区间递进神经网络(BCPNN)进行数据挖掘,利用药物不良事件术语集的首选系统器官分类和首选术语对挖掘到的风险信号进行分类和描述。结果 共提取以阿昔替尼为首要怀疑药物的不良事件报告12927份,排除缺失数据,共有男性患者8428份(65。2%),女性患者3493份(27。0%)。经筛选共获得阳性信号63个,发生报告数较多的系统器官为肾脏及泌尿系统疾病、胃肠系统疾病和良性、恶性及性质不明的肿瘤(包括囊状和息肉状)。信号强度较强的新的不良事件主要有腹泻、进展性肿瘤、高血压、口腔黏膜炎、口腔疼痛和肾功能损害等。结论 阿昔替尼在治疗泌尿系统肿瘤时发生的不良事件对患者生活质量有一定影响,临床用药时应予以重点关注,以保障患者用药安全。
Analysis of the adverse events of axitinib in patients with urinary system tumors and other systemic diseases
Objective To explore the risk signals associated with axitinib and to provide references for safe and rational clinical drug use. Methods Data on adverse event reports related to axitinib from the FAERS database from January 1,2012 to June 30,2024 were collected. Proportional reporting odds ratio (ROR) and Bayesian confidence propagation neural network (BCPNN) methods were used for data mining. The preferred system organ classification and preferred terms from the adverse drug reaction terminology set were used to classify and describe the mined risk signals. Results A total of 12927 adverse event reports involving acitinib as the primary suspect drug were collected,including 8428 male patients (65.2%) and 3493 female patients (27.0%). A total of 63 positive signals were identified,with the most commonly reported systemic organ conditions being kidney and urinary system diseases,gastrointestinal disorders,and various tumors (including benign,malignant,and unspecified types,such as cysts and polyps). The new adverse events exhibiting strong signal intensity included diarrhea,progressive tumors,hypertension,oral mucositis,oral pain,and renal function impairment. Conclusion The adverse events associated with axitinib in the treatment of urinary system tumors significantly impact patients' quality of life and should be carefully considered in clinical practice to ensure patient safety.

AxitinibFDA Adverse Event Reporting SystemAdverse drug eventsData miningProportional imbalance methodUrologic tumors

刘庆、邵晨

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厦门大学附属翔安医院泌尿外科,福建厦门 361102

阿昔替尼 FDA不良事件报告系统 药物不良事件 数据挖掘 比例失衡法 泌尿系统肿瘤

2024

中国药师
国家药品监督管理局高级研修学院,武汉医药(集团)股份有限公司

中国药师

CSTPCD
影响因子:0.944
ISSN:1008-049X
年,卷(期):2024.28(12)