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Pediatric Drug Safety Signal Detection: A New Drug–Event Reference Set for Performance Testing of Data-Mining Methods and Systems

BACKGROUND: Better evidence regarding drug safety in the pediatric population might be generated from existing data sources such as spontaneous reporting systems and electronic healthcare records. The Global Research in Paediatrics (GRiP)–Network of Excellence aims to develop pediatric-specific meth...

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Autores principales: Osokogu, Osemeke U., Fregonese, Federica, Ferrajolo, Carmen, Verhamme, Katia, de Bie, Sandra, Jong, Geert ’t, Catapano, Mariana, Weibel, Daniel, Kaguelidou, Florentia, Bramer, Wichor M., Hsia, Yingfen, Wong, Ian C. K., Gazarian, Madlen, Bonhoeffer, Jan, Sturkenboom, Miriam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4328124/
https://www.ncbi.nlm.nih.gov/pubmed/25663078
http://dx.doi.org/10.1007/s40264-015-0265-0
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author Osokogu, Osemeke U.
Fregonese, Federica
Ferrajolo, Carmen
Verhamme, Katia
de Bie, Sandra
Jong, Geert ’t
Catapano, Mariana
Weibel, Daniel
Kaguelidou, Florentia
Bramer, Wichor M.
Hsia, Yingfen
Wong, Ian C. K.
Gazarian, Madlen
Bonhoeffer, Jan
Sturkenboom, Miriam
author_facet Osokogu, Osemeke U.
Fregonese, Federica
Ferrajolo, Carmen
Verhamme, Katia
de Bie, Sandra
Jong, Geert ’t
Catapano, Mariana
Weibel, Daniel
Kaguelidou, Florentia
Bramer, Wichor M.
Hsia, Yingfen
Wong, Ian C. K.
Gazarian, Madlen
Bonhoeffer, Jan
Sturkenboom, Miriam
author_sort Osokogu, Osemeke U.
collection PubMed
description BACKGROUND: Better evidence regarding drug safety in the pediatric population might be generated from existing data sources such as spontaneous reporting systems and electronic healthcare records. The Global Research in Paediatrics (GRiP)–Network of Excellence aims to develop pediatric-specific methods that can be applied to these data sources. A reference set of positive and negative drug–event associations is required. OBJECTIVE: The aim of this study was to develop a pediatric-specific reference set of positive and negative drug–event associations. METHODS: Considering user patterns and expert opinion, 16 drugs that are used in individuals aged 0–18 years were selected and evaluated against 16 events, regarded as important safety outcomes. A cross-table of unique drug–event pairs was created. Each pair was classified as potential positive or negative control based on information from the drug’s Summary of Product Characteristics and Micromedex. If both information sources consistently listed the event as an adverse event, the combination was reviewed as potential positive control. If both did not, the combination was evaluated as potential negative control. Further evaluation was based on published literature. RESULTS: Selected drugs include ibuprofen, flucloxacillin, domperidone, methylphenidate, montelukast, quinine, and cyproterone/ethinylestradiol. Selected events include bullous eruption, aplastic anemia, ventricular arrhythmia, sudden death, acute kidney injury, psychosis, and seizure. Altogether, 256 unique combinations were reviewed, yielding 37 positive (17 with evidence from the pediatric population and 20 with evidence from adults only) and 90 negative control pairs, with the remainder being unclassifiable. CONCLUSION: We propose a drug–event reference set that can be used to compare different signal detection methods in the pediatric population. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s40264-015-0265-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-43281242015-02-20 Pediatric Drug Safety Signal Detection: A New Drug–Event Reference Set for Performance Testing of Data-Mining Methods and Systems Osokogu, Osemeke U. Fregonese, Federica Ferrajolo, Carmen Verhamme, Katia de Bie, Sandra Jong, Geert ’t Catapano, Mariana Weibel, Daniel Kaguelidou, Florentia Bramer, Wichor M. Hsia, Yingfen Wong, Ian C. K. Gazarian, Madlen Bonhoeffer, Jan Sturkenboom, Miriam Drug Saf Original Research Article BACKGROUND: Better evidence regarding drug safety in the pediatric population might be generated from existing data sources such as spontaneous reporting systems and electronic healthcare records. The Global Research in Paediatrics (GRiP)–Network of Excellence aims to develop pediatric-specific methods that can be applied to these data sources. A reference set of positive and negative drug–event associations is required. OBJECTIVE: The aim of this study was to develop a pediatric-specific reference set of positive and negative drug–event associations. METHODS: Considering user patterns and expert opinion, 16 drugs that are used in individuals aged 0–18 years were selected and evaluated against 16 events, regarded as important safety outcomes. A cross-table of unique drug–event pairs was created. Each pair was classified as potential positive or negative control based on information from the drug’s Summary of Product Characteristics and Micromedex. If both information sources consistently listed the event as an adverse event, the combination was reviewed as potential positive control. If both did not, the combination was evaluated as potential negative control. Further evaluation was based on published literature. RESULTS: Selected drugs include ibuprofen, flucloxacillin, domperidone, methylphenidate, montelukast, quinine, and cyproterone/ethinylestradiol. Selected events include bullous eruption, aplastic anemia, ventricular arrhythmia, sudden death, acute kidney injury, psychosis, and seizure. Altogether, 256 unique combinations were reviewed, yielding 37 positive (17 with evidence from the pediatric population and 20 with evidence from adults only) and 90 negative control pairs, with the remainder being unclassifiable. CONCLUSION: We propose a drug–event reference set that can be used to compare different signal detection methods in the pediatric population. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s40264-015-0265-0) contains supplementary material, which is available to authorized users. Springer International Publishing 2015-02-08 2015 /pmc/articles/PMC4328124/ /pubmed/25663078 http://dx.doi.org/10.1007/s40264-015-0265-0 Text en © The Author(s) 2015 https://creativecommons.org/licenses/by-nc/4.0/ Open AccessThis article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Original Research Article
Osokogu, Osemeke U.
Fregonese, Federica
Ferrajolo, Carmen
Verhamme, Katia
de Bie, Sandra
Jong, Geert ’t
Catapano, Mariana
Weibel, Daniel
Kaguelidou, Florentia
Bramer, Wichor M.
Hsia, Yingfen
Wong, Ian C. K.
Gazarian, Madlen
Bonhoeffer, Jan
Sturkenboom, Miriam
Pediatric Drug Safety Signal Detection: A New Drug–Event Reference Set for Performance Testing of Data-Mining Methods and Systems
title Pediatric Drug Safety Signal Detection: A New Drug–Event Reference Set for Performance Testing of Data-Mining Methods and Systems
title_full Pediatric Drug Safety Signal Detection: A New Drug–Event Reference Set for Performance Testing of Data-Mining Methods and Systems
title_fullStr Pediatric Drug Safety Signal Detection: A New Drug–Event Reference Set for Performance Testing of Data-Mining Methods and Systems
title_full_unstemmed Pediatric Drug Safety Signal Detection: A New Drug–Event Reference Set for Performance Testing of Data-Mining Methods and Systems
title_short Pediatric Drug Safety Signal Detection: A New Drug–Event Reference Set for Performance Testing of Data-Mining Methods and Systems
title_sort pediatric drug safety signal detection: a new drug–event reference set for performance testing of data-mining methods and systems
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4328124/
https://www.ncbi.nlm.nih.gov/pubmed/25663078
http://dx.doi.org/10.1007/s40264-015-0265-0
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