Analysis of β-blockers associated with acute renal failure signal based on data mining method
- VernacularTitle:基于数据挖掘法对β受体阻滞剂药物相关急性肾衰竭信号的分析
- Author:
Hongli WANG
1
;
Ni ZHANG
1
;
Guizun ZHONG
1
;
Siqi CHEN
1
;
Huanhuan JI
2
;
Li GONG
3
;
Lingyun PAN
4
;
Yuntao JIA
2
Author Information
1. School of Pharmacy,Chongqing Medical University,Chongqing 400016,China
2. Dept. of Pharmacy,Children’s Hospital of Chongqing Medical University/Ministry of Education Key Laboratory of Child Development and Disorders/China International Science and Technology Cooperation Base of Child Development and Critical Disorders/Chongqing Key Laboratory of Pediatrics/National Clinical Research Center for Child Health and Disorders,Chongqing 400014,China
3. Chongqing Key Laboratory of Translation Research for Cancer Metastasis and Individualized Treatment/Phase Ⅰ Ward,Chongqing University Cancer Hospital,Chongqing 400030,China
4. Dept. of Pharmacy,Chongqing University Cancer Hospital,Chongqing 400030,China
- Publication Type:Journal Article
- Keywords:
β-blockers;
acute renal failure;
data mining;
signal detection
- From:
China Pharmacy
2022;33(11):1380-1385
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE To excavate and evaluate β-blockers associated with acute renal failure(ARF)signal. METHODS Using the report odds ratio (ROR)method and Bayesian confidence interval progressive neural network (BCPNN)method,signal detection and analysis were performed for 4 kinds of β-blockers(metoprolol,bisoprolol,atenolol,nebivolol)associated with ARF Δ 基金项目:重庆市临床药学重点专科建设项目 (No.渝卫办发 in FDA adverse event reporting system (FAERS)from the two 〔2020〕68号);重庆医科大学未来医学青年创新团队发展支持计划项 dimensions of Standard International Dictionary of Medical 目(No.W0081) Terms (MedDRA) analysis query (SMQ) term set and *药师,硕士研究生。研究方向:药物警戒。电话:023-68485161。 preferred term (PT) level terms. When the two methods E-mail:2020121624@stu.cqmu.edu.cn detected positive signals at the same time ,it indicated that # 通信作者:主任药师,硕士生导师。研究方向:临床药学、药物警 suspicious signals were detected. RESULTS Totally 14 328 戒。电话:023-63625666。E-mail:jiayuntaomail@hospital.cqmu.edu.cn ARF reports of 4 kinds of β-blockers were retrieved within the ·1380· China Pharmacy 2022Vol. 33 No. 11 中国药房 2022年第33卷第11期 narrow sense of “acute renal failure ”in SMQ term set ,of which men (6 964)were more than women (6 206). The age of patients was mainly concentrated in the middle-aged and elderly (≥45 years old ),and serious adverse events accounted for 77.23%. The results of signal retrieval based on SMQ term set showed that ROR values and 95% confidence intervals of metoprolol ,bisoprolol, atenolol and nebivolol detected by ROR method were 2.58(2.51,2.65),5.30(5.14,5.47),2.80(2.69,2.91)and 3.28(3.04, 3.53)respectively. The signal components (IC)detected by BCPNN method and the lower limit of IC were 1.29(1.25),2.26 (2.22),1.42(1.36)and 1.64(1.53)respectively,suggesting suspicious signals were detected in these four kinds of β-blockers associated ARF. The results of signal detection based on PT level terms showed that 37 positive signals were detected by ROR method,38 positive signals were detected by BCPNN method ,and 36 suspicious signals were detected by the two methods at the same time. For each drug ,12 suspicious signals of metoprolol were detected at the same time ,9 suspicious signals of bisoprolol and atenolol were detected at the same time ,and 6 suspicious signals of nebivolol were detected at the same time ;the number and type of signals were different among the 4 kinds of drug. CONCLUSIONS Four kinds of β-blockers may cause ARF. Compared with metoprolol and atenolol ,bisoprolol and nebivolol have strong statistical correlation with ARF ,suggesting that medical personnel should pay attention to the possible renal related adverse reactions of these drugs in the process of clinical use.