Network Analysis and Machine Learning for Signal Detection and Prioritization Using Electronic Healthcare Records and Administrative Databases: A Proof of Concept in Drug-Induced Acute Myocardial Infarction.

Journal: Drug safety
PMID: 39918677

Abstract

BACKGROUND: Safety signals for potential drug-induced adverse events (AEs) typically emerge from multiple data sources, primarily spontaneous reporting systems, despite known limitations. Increasingly, real-world data from sources such as electronic health records (EHRs) and administrative databases are leveraged for signal detection. Although network analysis has shown promise in mapping relationships between clinical attributes for signal detection in spontaneous reporting system databases, its application in real-world data from EHRs and administrative databases remains limited.

Authors

  • Maria Antonietta Barbieri
    Department of Drug Design and Pharmacology, University of Copenhagen, Jagtvej 160, 2100, Copenhagen, Denmark.
  • Andrea Abate
    Department of Clinical and Experimental Medicine, University of Messina, 98125, Messina, Italy.
  • Olivér M Balogh
    Cardiometabolic and MTA-SE System Pharmacology Research Group, Department of Pharmacology and Pharmacotherapy, Semmelweis University, Nagyvárad tér 4, Budapest, 1089, Hungary.
  • Mátyás Pétervári
    Cardiometabolic and MTA-SE System Pharmacology Research Group, Department of Pharmacology and Pharmacotherapy, Semmelweis University, Nagyvárad tér 4, Budapest, 1089, Hungary.
  • Péter Ferdinandy
    Cardiometabolic Research Group and MTA-SE System Pharmacology Research Group, Department of Pharmacology and Pharmacotherapy, Semmelweis University, Budapest,Hungary.
  • Bence Ágg
    Cardiometabolic and MTA-SE System Pharmacology Research Group, Department of Pharmacology and Pharmacotherapy, Semmelweis University, Nagyvárad tér 4, Budapest, 1089, Hungary. agg.bence@med.semmelweis-univ.hu.
  • Vera Battini
    Department of Drug Design and Pharmacology, University of Copenhagen, Jagtvej 160, 2100, Copenhagen, Denmark. vera.battini@unimi.it.
  • Marianna Cocco
    Department of Drug Design and Pharmacology, University of Copenhagen, Jagtvej 160, 2100, Copenhagen, Denmark.
  • Andrea Rossi
    ASST Spedali Civili di Brescia, Ospedale dei Bambini, Brescia, Italy.
  • Carla Carnovale
    Pharmacovigilance and Clinical Research, International Centre for Pesticides and Health Risk Prevention, Department of Biomedical and Clinical Sciences (DIBIC), ASST Fatebenefratelli, Sacco University Hospital, Università degli Studi di Milano, Milan, Italy.
  • Manuela Casula
    Epidemiology and Preventive Pharmacology Service (SEFAP), Department of Pharmacological and Biomolecular Sciences, University of Milan, 20133, Milan, Italy.
  • Edoardo Spina
    Department of Clinical and Experimental Medicine, University of Messina, 98125, Messina, Italy.
  • Maurizio Sessa
    Department of Drug Design and Pharmacology, Drug Safety Group, University of Copenhagen, Copenhagen, Denmark.

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