PMID- 33090463 OWN - NLM STAT- MEDLINE DCOM- 20210915 LR - 20231107 IS - 1532-6535 (Electronic) IS - 0009-9236 (Print) IS - 0009-9236 (Linking) VI - 109 IP - 5 DP - 2021 May TI - Target Adverse Event Profiles for Predictive Safety in the Postmarket Setting. PG - 1232-1243 LID - 10.1002/cpt.2074 [doi] AB - We improved a previous pharmacological target adverse-event (TAE) profile model to predict adverse events (AEs) on US Food and Drug Administration (FDA) drug labels at the time of approval. The new model uses more drugs and features for learning as well as a new algorithm. Comparator drugs sharing similar target activities to a drug of interest were evaluated by aggregating AEs from the FDA Adverse Event Reporting System (FAERS), FDA drug labels, and medical literature. An ensemble machine learning model was used to evaluate FAERS case count, disproportionality scores, percent of comparator drug labels with a specific AE, and percent of comparator drugs with the reports of the event in the literature. Overall classifier performance was F1 of 0.71, area under the precision-recall curve of 0.78, and area under the receiver operating characteristic curve of 0.87. TAE analysis continues to show promise as a method to predict adverse events at the time of approval. CI - (c) 2020 Molecular Health GMBH. Clinical Pharmacology & Therapeutics published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics. FAU - Schotland, Peter AU - Schotland P AD - Division of Applied Regulatory Science, Office of Clinical Pharmacology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA. FAU - Racz, Rebecca AU - Racz R AD - Division of Applied Regulatory Science, Office of Clinical Pharmacology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA. FAU - Jackson, David B AU - Jackson DB AD - Molecular Health GmbH, Heidelberg, Germany. FAU - Soldatos, Theodoros G AU - Soldatos TG AD - Molecular Health GmbH, Heidelberg, Germany. FAU - Levin, Robert AU - Levin R AD - Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA. FAU - Strauss, David G AU - Strauss DG AD - Division of Applied Regulatory Science, Office of Clinical Pharmacology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA. FAU - Burkhart, Keith AU - Burkhart K AD - Division of Applied Regulatory Science, Office of Clinical Pharmacology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA. LA - eng PT - Journal Article PT - Research Support, U.S. Gov't, P.H.S. DEP - 20201107 PL - United States TA - Clin Pharmacol Ther JT - Clinical pharmacology and therapeutics JID - 0372741 SB - IM EIN - Clin Pharmacol Ther. 2023 Dec;114(6):1387. PMID: 37899631 MH - *Adverse Drug Reaction Reporting Systems MH - *Algorithms MH - Data Mining MH - Drug Labeling MH - Drug-Related Side Effects and Adverse Reactions MH - Humans MH - Machine Learning MH - *Pharmacovigilance MH - United States MH - United States Food and Drug Administration PMC - PMC8246740 COIS- D.B.J. is an employee of Molecular Health, GmbH, a shareholder in Molecular Health, GmbH, and inventor of the EFFECT technology; T.G.S. is an employee of Molecular Health, GmbH and a shareholder in Molecular Health, GmbH and inventor of the EFFECT technology. All other authors declare no competing interests for this work. EDAT- 2020/10/23 06:00 MHDA- 2021/09/16 06:00 PMCR- 2020/11/07 CRDT- 2020/10/22 12:19 PHST- 2019/09/20 00:00 [received] PHST- 2020/08/31 00:00 [accepted] PHST- 2020/10/23 06:00 [pubmed] PHST- 2021/09/16 06:00 [medline] PHST- 2020/10/22 12:19 [entrez] PHST- 2020/11/07 00:00 [pmc-release] AID - CPT2074 [pii] AID - 10.1002/cpt.2074 [doi] PST - ppublish SO - Clin Pharmacol Ther. 2021 May;109(5):1232-1243. doi: 10.1002/cpt.2074. Epub 2020 Nov 7.