{"title":"A real-world data analysis of acetylsalicylic acid in FDA Adverse Event Reporting System (FAERS) database.","authors":"Bin Zhao, Xiaohong Zhang, Moliang Chen, Yan Wang","doi":"10.1080/17425255.2023.2235267","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Acetylsalicylic acid (Aspirin), one of the oldest medicines, is widely used in various clinical fields. However, numerous adverse events (AEs) have been reported. In this study, we aimed to investigate adverse drug reactions (ADRs) of aspirin using real-worlddata from the US Food and Drug Administration Adverse Event Reporting System (FAERS) database.</p><p><strong>Methods: </strong>We assessed the disproportionality of aspirin-related AEs by calculating measures such as reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagationneural network (BCPNN), and Gamma-Poisson Shrinker (GPS).</p><p><strong>Results: </strong>Out of 7,510,564 casereports in the FAERS database, 18644 reports of aspirin as the 'primary suspected (PS)' AEs were recorded. Disproportionality analyses identified 493 aspirin-related preferred terms (PTs) across 25 organ systems. Notably, unexpected significant AEs such as pallor (<i>p</i>=5.66E-33), dependence (<i>p</i>=6.45E-67), and compartment syndrome (<i>p</i>=1.95E-28) were observed, which were not mentioned in the drug's instructions.</p><p><strong>Conclusion: </strong>Our findings align with clinical observations, highlighting potential new and unexpected ADR signals associated with aspirin. Further prospective clinical studies are necessary to confirm and elucidate the relationship between aspirin and these ADRs. This study offers a fresh and unique perspective for studying drug-AEs.</p>","PeriodicalId":12250,"journal":{"name":"Expert Opinion on Drug Metabolism & Toxicology","volume":"19 6","pages":"381-387"},"PeriodicalIF":3.9000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Expert Opinion on Drug Metabolism & Toxicology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/17425255.2023.2235267","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/7/12 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Acetylsalicylic acid (Aspirin), one of the oldest medicines, is widely used in various clinical fields. However, numerous adverse events (AEs) have been reported. In this study, we aimed to investigate adverse drug reactions (ADRs) of aspirin using real-worlddata from the US Food and Drug Administration Adverse Event Reporting System (FAERS) database.
Methods: We assessed the disproportionality of aspirin-related AEs by calculating measures such as reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagationneural network (BCPNN), and Gamma-Poisson Shrinker (GPS).
Results: Out of 7,510,564 casereports in the FAERS database, 18644 reports of aspirin as the 'primary suspected (PS)' AEs were recorded. Disproportionality analyses identified 493 aspirin-related preferred terms (PTs) across 25 organ systems. Notably, unexpected significant AEs such as pallor (p=5.66E-33), dependence (p=6.45E-67), and compartment syndrome (p=1.95E-28) were observed, which were not mentioned in the drug's instructions.
Conclusion: Our findings align with clinical observations, highlighting potential new and unexpected ADR signals associated with aspirin. Further prospective clinical studies are necessary to confirm and elucidate the relationship between aspirin and these ADRs. This study offers a fresh and unique perspective for studying drug-AEs.
期刊介绍:
Expert Opinion on Drug Metabolism & Toxicology (ISSN 1742-5255 [print], 1744-7607 [electronic]) is a MEDLINE-indexed, peer-reviewed, international journal publishing review articles on all aspects of ADME-Tox. Each article is structured to incorporate the author’s own expert opinion on the scope for future development.
The Editors welcome:
Reviews covering metabolic, pharmacokinetic and toxicological issues relating to specific drugs, drug-drug interactions, drug classes or their use in specific populations; issues relating to enzymes involved in the metabolism, disposition and excretion of drugs; techniques involved in the study of drug metabolism and toxicology; novel technologies for obtaining ADME-Tox data.
Drug Evaluations reviewing the clinical, toxicological and pharmacokinetic data on a particular drug.
The audience consists of scientists and managers in the pharmaceutical industry, pharmacologists, clinical toxicologists and related professionals.