@article {292831,
	title = {Signal detection of potentially drug-induced acute liver injury in children using a multi-country healthcare database network.},
	journal = {Drug Saf},
	volume = {37},
	number = {2},
	year = {2014},
	month = {2014 Feb},
	pages = {99-108},
	abstract = {BACKGROUND: Data mining in spontaneous reporting databases has shown that drug-induced liver injury is infrequently reported in children.

OBJECTIVES: Our objectives were to (i) identify drugs potentially associated with acute liver injury (ALI) in children and adolescents using electronic healthcare record (EHR) data; and (ii) to evaluate the significance and novelty of these associations.

METHODS: We identified potential cases of ALI during exposure to any prescribed/dispensed drug for individuals 1 and in the presence of at least three exposed cases of ALI. Potentially new signals were distinguished from already known associations concerning ALI (whether in adults and/or in the paediatric population) through manual review of published literature and drug product labels.

RESULTS: The study population comprised 4,838,146 individuals aged ,
	keywords = {Adolescent, Adverse Drug Reaction Reporting Systems, Child, Child Welfare, Child, Preschool, data mining, Databases, Factual, Drug-Induced Liver Injury, Drug-Related Side Effects and Adverse Reactions, Electronic Health Records, European Union, Humans, Infant, Infant, Newborn, International Cooperation, Liver Failure, Acute},
	issn = {0114-5916},
	doi = {10.1007/s40264-013-0132-9},
	author = {Ferrajolo, Carmen and Coloma, Preciosa M and Verhamme, Katia M C and Schuemie, Martijn J and de Bie, Sandra and Gini, Rosa and Herings, Ron and Mazzaglia, Giampiero and Picelli, Gino and Giaquinto, Carlo and Scotti, Lorenza and Avillach, Paul and Pedersen, Lars and Rossi, Francesco and Capuano, Annalisa and van der Lei, Johan and Trifir{\'o}, Gianluca and Sturkenboom, Miriam C J M}
}
