Rowan E Parry, Victor Pera, Katia M C Verhamme, Marcel de Wilde, Erik M van Mulligen, Jan A Kors
{"title":"蒜渣蛋黄酱:将FDA不良事件报告系统(FAERS)中的药物标准化到RxNorm和解剖治疗化学(ATC)规范。","authors":"Rowan E Parry, Victor Pera, Katia M C Verhamme, Marcel de Wilde, Erik M van Mulligen, Jan A Kors","doi":"10.1002/pds.70216","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>The Food and Drug Administration Adverse Event Reporting System (FAERS) is an important source of information on suspected adverse drug reactions, but does not standardise drugs. The Adverse Event Open Learning Through Universal Standardization (AEOLUS) System Provides Standardisation of drugs in FAERS to RxNorm, but its coverage leaves room for improvement and mapping accuracy has not been established. Furthermore, drugs are not mapped to the Anatomical Therapeutic Chemical (ATC) Classification System, which is frequently used in pharmacovigilance studies. Here we develop and evaluate the Aioli system, an extension of AEOLUS, to increase the mapping of drugs in FAERS to RxNorm, and to provide mappings to the ATC coding system.</p><p><strong>Methods: </strong>Several changes and extensions were made to the AEOLUS mapping process to increase the number of drugs standardized to RxNorm. Information in FAERS fields about ingredient, route, dose amount, dose form, and dose unit was used to map to the most appropriate ATC code. Mapping accuracy was assessed on an evaluation set of 122 FAERS records.</p><p><strong>Results: </strong>Aioli mapped 94.1% of drug names in FAERS to RxNorm, compared to 90.4% by AEOLUS. In addition, Aioli mapped 80.4% of drug names to ATC codes. Evaluation showed high accuracies, with 92.2% correct mappings to RxNorm and 94.0% to ATC.</p><p><strong>Conclusions: </strong>We have developed and evaluated the Aioli system that maps drugs in the FAERS database to RxNorm and ATC codes. With increased coverage of drugs and the mapping to ATC, Aioli further improves the usability of FAERS data in pharmacovigilance studies.</p>","PeriodicalId":19782,"journal":{"name":"Pharmacoepidemiology and Drug Safety","volume":"34 9","pages":"e70216"},"PeriodicalIF":2.4000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12411121/pdf/","citationCount":"0","resultStr":"{\"title\":\"Aioli: Standardising Drugs in the FDA Adverse Event Reporting System (FAERS) to RxNorm and Anatomical Therapeutic Chemical (ATC) Codes.\",\"authors\":\"Rowan E Parry, Victor Pera, Katia M C Verhamme, Marcel de Wilde, Erik M van Mulligen, Jan A Kors\",\"doi\":\"10.1002/pds.70216\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>The Food and Drug Administration Adverse Event Reporting System (FAERS) is an important source of information on suspected adverse drug reactions, but does not standardise drugs. The Adverse Event Open Learning Through Universal Standardization (AEOLUS) System Provides Standardisation of drugs in FAERS to RxNorm, but its coverage leaves room for improvement and mapping accuracy has not been established. Furthermore, drugs are not mapped to the Anatomical Therapeutic Chemical (ATC) Classification System, which is frequently used in pharmacovigilance studies. Here we develop and evaluate the Aioli system, an extension of AEOLUS, to increase the mapping of drugs in FAERS to RxNorm, and to provide mappings to the ATC coding system.</p><p><strong>Methods: </strong>Several changes and extensions were made to the AEOLUS mapping process to increase the number of drugs standardized to RxNorm. Information in FAERS fields about ingredient, route, dose amount, dose form, and dose unit was used to map to the most appropriate ATC code. Mapping accuracy was assessed on an evaluation set of 122 FAERS records.</p><p><strong>Results: </strong>Aioli mapped 94.1% of drug names in FAERS to RxNorm, compared to 90.4% by AEOLUS. In addition, Aioli mapped 80.4% of drug names to ATC codes. Evaluation showed high accuracies, with 92.2% correct mappings to RxNorm and 94.0% to ATC.</p><p><strong>Conclusions: </strong>We have developed and evaluated the Aioli system that maps drugs in the FAERS database to RxNorm and ATC codes. 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Aioli: Standardising Drugs in the FDA Adverse Event Reporting System (FAERS) to RxNorm and Anatomical Therapeutic Chemical (ATC) Codes.
Purpose: The Food and Drug Administration Adverse Event Reporting System (FAERS) is an important source of information on suspected adverse drug reactions, but does not standardise drugs. The Adverse Event Open Learning Through Universal Standardization (AEOLUS) System Provides Standardisation of drugs in FAERS to RxNorm, but its coverage leaves room for improvement and mapping accuracy has not been established. Furthermore, drugs are not mapped to the Anatomical Therapeutic Chemical (ATC) Classification System, which is frequently used in pharmacovigilance studies. Here we develop and evaluate the Aioli system, an extension of AEOLUS, to increase the mapping of drugs in FAERS to RxNorm, and to provide mappings to the ATC coding system.
Methods: Several changes and extensions were made to the AEOLUS mapping process to increase the number of drugs standardized to RxNorm. Information in FAERS fields about ingredient, route, dose amount, dose form, and dose unit was used to map to the most appropriate ATC code. Mapping accuracy was assessed on an evaluation set of 122 FAERS records.
Results: Aioli mapped 94.1% of drug names in FAERS to RxNorm, compared to 90.4% by AEOLUS. In addition, Aioli mapped 80.4% of drug names to ATC codes. Evaluation showed high accuracies, with 92.2% correct mappings to RxNorm and 94.0% to ATC.
Conclusions: We have developed and evaluated the Aioli system that maps drugs in the FAERS database to RxNorm and ATC codes. With increased coverage of drugs and the mapping to ATC, Aioli further improves the usability of FAERS data in pharmacovigilance studies.
期刊介绍:
The aim of Pharmacoepidemiology and Drug Safety is to provide an international forum for the communication and evaluation of data, methods and opinion in the discipline of pharmacoepidemiology. The Journal publishes peer-reviewed reports of original research, invited reviews and a variety of guest editorials and commentaries embracing scientific, medical, statistical, legal and economic aspects of pharmacoepidemiology and post-marketing surveillance of drug safety. Appropriate material in these categories may also be considered for publication as a Brief Report.
Particular areas of interest include:
design, analysis, results, and interpretation of studies looking at the benefit or safety of specific pharmaceuticals, biologics, or medical devices, including studies in pharmacovigilance, postmarketing surveillance, pharmacoeconomics, patient safety, molecular pharmacoepidemiology, or any other study within the broad field of pharmacoepidemiology;
comparative effectiveness research relating to pharmaceuticals, biologics, and medical devices. Comparative effectiveness research is the generation and synthesis of evidence that compares the benefits and harms of alternative methods to prevent, diagnose, treat, and monitor a clinical condition, as these methods are truly used in the real world;
methodologic contributions of relevance to pharmacoepidemiology, whether original contributions, reviews of existing methods, or tutorials for how to apply the methods of pharmacoepidemiology;
assessments of harm versus benefit in drug therapy;
patterns of drug utilization;
relationships between pharmacoepidemiology and the formulation and interpretation of regulatory guidelines;
evaluations of risk management plans and programmes relating to pharmaceuticals, biologics and medical devices.