Literature analysis on the application of prescription sequence symmetry analysis in pharmacovigilance
10.3760/cma.j.cn114015-20241124-00164
- VernacularTitle:处方序列对称分析在药物警戒中应用的文献分析
- Author:
Wei DOU
1
;
Xin LIU
1
;
Wei ZUO
1
;
Jiaxin YU
1
;
Jiayu WU
1
;
Bo ZHANG
1
Author Information
1. 中国医学科学院北京协和医学院北京协和医院药剂科，疑难重症及罕见病国家重点实验室，北京 100730
- Publication Type:Journal Article
- Keywords:
Prescription drug monitoring programs;
Pharmacovigilance;
Data mining;
Prescription sequence analysis;
Prescription sequence symmetry analysis;
Prescribing
- From:
Adverse Drug Reactions Journal
2025;27(8):495-501
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To understand the application situation and role of prescription sequence symmetry analysis (PSSA) in pharmacovigilance.Methods:The relevant databases at home and abroad were searched (up to April 30, 2024), and the original articles using PSSA as the research method were collected. The basic information of the literature (first author, publication year, country, etc.), the purpose and main content of the study, the index drugs as well as the marker drugs or medical diagnoses involved in the adverse drug reactions (ADRs) were extracted. Descriptive statistical analysis was carried out.Results:A total of 66 articles were included in the analysis. The first article was published in 1996, the number of articles published in recent years has increased significantly, and those published after 2016 accounted for 68.2% (45/66). The top 3 countries in terms of published literature quantity were the United States, Denmark, and Japan. The index drugs most commonly studied were those for the cardiovascular system and the neuropsychiatric system, in 18 and 14 articles respectively. The drugs studied in 3 or more papers were hypolipidemic drugs, antihypertensive drugs, antipsychotics, antiepileptics, proton pump inhibitors, hypoglycemic drugs and anticoagulants. The targeted ADRs/diseases most studied were those about the neuropsychiatric system (in 13 studies), followed by those about the endocrine and metabolic system (in 12 studies). The research objective in 47 articles was to explore the association between index drugs and ADRs/diseases through PSSA. Finally, the associations between 21 ADRs and index drugs were identified in 24 articles, of which 9 were new ADRs not recorded in drug instructions; benefits or potential preventive and therapeutic effects of index drugs on certain diseases were found in 7 studies. Ten studies were conducted to explore ADR information of specific drugs or detect suspicious drugs that cause specific ADRs, and some correlation signals between drugs and ADRs that previously unknown were detected. Nine studies evaluated the prescribing cascades, including the use of antitussive drugs after ACEI, the prescribing cascades related to drug-induced lower urinary tract symptoms and edema, the prescription cascades of statins, and the prescribing cascade relic.Conclusion:PSSA is a useful method for identifying potential prescribing cascades and mining ADR signals using medical prescription databases, especially suitable for the safety monitoring of long-term medication for chronic diseases and the signal detection of ADR that causal relationships are difficult to determine.
