PMID- 37264496 OWN - NLM STAT- MEDLINE DCOM- 20230915 LR - 20230929 IS - 1365-2125 (Electronic) IS - 0306-5251 (Linking) VI - 89 IP - 10 DP - 2023 Oct TI - Drug safety signal detection in a regional healthcare database using the tree-based scan statistic and comparison to 3 other mining methods. PG - 3037-3045 LID - 10.1111/bcp.15810 [doi] AB - AIMS: To evaluate and compare the relative performance of the tree-based scan statistic (TreeScan) with the crude cohort study, Bayesian confidence propagation neural network (BCPNN) and Gamma Poisson Shrinker (GPS) in detecting statin-related adverse events (AEs) in an electronic healthcare database. METHODS: Data from a Chinese healthcare database from 2010 to 2016 were evaluated. We identified statin users based on prescription information in their out-/in-patient records, and AEs were defined according to the ICD-10 codes in patients' diagnosis records. TreeScan was applied to detect AE signals related to statin use and was compared with 3 other methods based on sensitivity, specificity, positive predictive value, negative predictive value, accuracy, the Youden index, area under the precision-recall curve and the area under the receiver operating characteristic curve. RESULTS: A total of 224 187 patients were enrolled and divided into 85 758 statin users and 138 429 nonusers. TreeScan generated 29 positive signals, of which 9 were known AEs. The sensitivities of TreeScan, BCPNN and GPS were all 69.2%, which was higher than that of the crude cohort study (46%). The specificity (82.3%), positive predictive value (31.0%), negative predictive value (95.9%), accuracy (81.0%), Youden index (51.5%) and area under the receiver operating characteristic curve (75.8%) of TreeScan were the highest among the 4 methods. CONCLUSION: TreeScan outperformed the crude cohort, BCPNN and GPS in detecting statin-related AEs in an electronic healthcare database. Therefore, it can be used as a complementary tool for other signal detection methods in drug safety surveillance. CI - (c) 2023 British Pharmacological Society. FAU - Hailong, Li AU - Hailong L AUID- ORCID: 0000-0001-6481-401X AD - Department of Pharmacy, West China Second University Hospital, Sichuan University, Chengdu, China. AD - Evidence-Based Pharmacy Center, West, Second University Hospital, Sichuan University, Chengdu, China. AD - Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, China. FAU - Houyu, Zhao AU - Houyu Z AD - Key Laboratory of Epidemiology of Major Diseases, Ministry of Education, Peking University, Beijing, China. AD - Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China. FAU - Hongbo, Lin AU - Hongbo L AD - Yinzhou District Center for Disease Control and Prevention, Ningbo, China. FAU - Peng, Shen AU - Peng S AD - Yinzhou District Center for Disease Control and Prevention, Ningbo, China. FAU - Siyan, Zhan AU - Siyan Z AD - Key Laboratory of Epidemiology of Major Diseases, Ministry of Education, Peking University, Beijing, China. AD - Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China. AD - Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China. LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20230615 PL - England TA - Br J Clin Pharmacol JT - British journal of clinical pharmacology JID - 7503323 RN - 0 (Hydroxymethylglutaryl-CoA Reductase Inhibitors) SB - IM MH - Humans MH - *Hydroxymethylglutaryl-CoA Reductase Inhibitors/adverse effects MH - Bayes Theorem MH - Cohort Studies MH - Databases, Factual MH - Delivery of Health Care MH - Adverse Drug Reaction Reporting Systems OTO - NOTNLM OT - active surveillance OT - adverse events OT - drug safety OT - signal detection OT - statin OT - tree-based scan statistic EDAT- 2023/06/02 01:07 MHDA- 2023/09/15 06:42 CRDT- 2023/06/01 23:52 PHST- 2023/05/03 00:00 [revised] PHST- 2022/11/23 00:00 [received] PHST- 2023/05/28 00:00 [accepted] PHST- 2023/09/15 06:42 [medline] PHST- 2023/06/02 01:07 [pubmed] PHST- 2023/06/01 23:52 [entrez] AID - 10.1111/bcp.15810 [doi] PST - ppublish SO - Br J Clin Pharmacol. 2023 Oct;89(10):3037-3045. doi: 10.1111/bcp.15810. Epub 2023 Jun 15.