Background

Victor Pera obtained his BSc (2014) and MSc (2020) in Pharmacy from the University of Groningen (The Netherlands). In addition, he obtained a MSc (2020) in Medical Pharmaceutical Sciences with a specialization in the field of pharmaco-epidemiology at the University of Groningen (The Netherlands). He wrote his master thesis on the effectiveness of antibiotics for the treatment of COPD exacerbations by utilizing both the LifeLines and the IADB.nl database. In November 2020, Victor joined as a PhD candidate the Health Data Science group of the Medical Informatics department at the Erasmus University Medical Center (Rotterdam, The Netherlands) to conduct research on Medication Errors. He is working extensively with the FDA Adverse Event Reporting System (FAERS), the European Medicines Agency’s EudraVigilance, the Integrated Primary Case Information (IPCI) database, and utilizes tools from the Observational Health Data Sciences and Informatics (OHDSI) collaborative and the Data Analysis and Real World Interrogation Network (DARWIN EU®) to work on databases mapped to the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). He also supervised students enrolled in Ghent's MSc Pharmacy programme, both online and on-site for various projects, and was a facilitator for the online European programme in Pharmacovigilance and Pharmacoepidemiology (EU2P).

Publications

Pera V, Kors JA, Mulligen EM van, Wilde M de, Rijnbeek PR, Verhamme KMC. Disproportionality Analysis and Characterisation of Medication Errors in EudraVigilance: Exploring Findings on Sexes and Age Groups. Drug Safety. Published online 2024. doi:10.1007/s40264-024-01478-6

Pera V, Kors JA, van Mulligen EM, de Wilde M, Rijnbeek PR, Verhamme KMC. Medication Errors in EudraVigilance: Signals of Disproportionate Reporting Among Age Groups. ABSTRACTS of the 2024 ISPE Annual Meeting, Berlin, Germany, 24–28 August 2024. 2024;33(2):306.

Pera V, Vaerenbergh F van, Kors JA, et al. Descriptive analysis on disproportionate medication errors and associated patient characteristics in the Food and Drug Administration's Adverse Event Reporting System. Pharmacoepidemiol Drug Saf. 2024;33(1):e5743. doi:10.1002/pds.5743

Pera V, Brusselle GG, Riemann S, Kors JA, Van Mulligen EM, Parry R, de Wilde M, Rijnbeek PR and Verhamme KMC (2023), Parasitic infections related to anti-type 2 immunity monoclonal antibodies: a disproportionality analysis in the food and drug administration’s adverse event reporting system (FAERS). Front. Pharmacol. 14:1276340. doi: 10.3389/fphar.2023.1276340

Pera V, Panen H, De Ridder MAJ, et al. Trends in outpatient azithromycin prescribing in respiratory diseases. European Respiratory Journal. 2023;62(suppl 67). doi:10.1183/13993003.congress-2023.PA666

Pera V, Brusselle GG, Kors JA, et al. Safety Signals on Parasitic Infections Related to Monoclonal Antibodies for Moderate-Severe Asthma Patients: Results from the Food and Drug Administration’s Adverse Event Reporting System. In: C31. BIOLOGICS WANT TO RULE THE (ASTHMA) WORLD. American Thoracic Society International Conference Abstracts. American Thoracic Society; 2023:A4761-A4761. doi:10.1164/ajrccm-conference.2023.207.1_MeetingAbstracts.A4761

Ostropolets A, Albogami Y, Conover M, Banda JM, Baumgartner WA, Blacketer C, Desai P, DuVall SL, Fortin S, Gilbert JP, Golozar A, Ide J, Kanter AS, Kern DM, Kim C, Lai LYH, Li C, Liu F, Lynch KE, Minty E, Neves MI, Ng DQ, Obene T, Pera V, Pratt N, Rao G, Rappoport N, Reinecke I, Saroufim P, Shoaibi A, Simon K, Suchard MA, Swerdel JN, Voss EA, Weaver J, Zhang L, Hripcsak G, Ryan PB. Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study. J Am Med Inform Assoc. 2023 Feb 24:ocad009. doi: 10.1093/jamia/ocad009. Epub ahead of print. PMID: 36826399.

Pera V, Rijnbeek P, Lei JVD, et al. Characteristics of medication errors among respiratory drugs within the Food and Drug Administration’s Adverse Event Reporting System. European Respiratory Journal. 2022;60(suppl 66). doi:10.1183/13993003.congress-2022.283

Pera V, Vaerenbergh F van, Rijnbeek P, et al. Descriptive analysis of disproportionate medication errors and associated patient characteristics in the Food and Drug Administration’s Adverse Event Reporting System. ABSTRACTS of ICPE 2022, the 38th International Conference on Pharmacoepidemiology and Therapeutic Risk Management (ICPE), Copenhagen, Denmark, 26–28 August, 2022. 2022;31(Suppl 2):227-228.

Seinen TM, Fridgeirsson EA, Ioannou S, Jeannetot D, John LH, Kors JA, Markus AF, Pera V, Rekkas A, Williams RD, Yang C, van Mulligen EM, Rijnbeek PR. Use of unstructured text in prognostic clinical prediction models: a systematic review. J Am Med Inform Assoc. 2022 Jun 14;29(7):1292-1302. doi: 10.1093/jamia/ocac058. PMID: 35475536; PMCID: PMC9196702.