Drug safety and big clinical data Detection ...
Document type :
Compte-rendu et recension critique d'ouvrage
DOI :
PMID :
Title :
Drug safety and big clinical data Detection of drug-induced anaphylactic shock events
Author(s) :
Bouzille, Guillaume [Auteur correspondant]
Centre Hospitalier Universitaire de Rennes [CHU Rennes] = Rennes University Hospital [Pontchaillou]
Centre d'Investigation Clinique [Rennes] [CIC]
Laboratoire Traitement du Signal et de l'Image [LTSI]
Osmont, Marie-Noëlle [Auteur]
Centre Hospitalier Universitaire de Rennes [CHU Rennes] = Rennes University Hospital [Pontchaillou]
Triquet, Louise [Auteur]
Centre Hospitalier Universitaire de Rennes [CHU Rennes] = Rennes University Hospital [Pontchaillou]
Grabar, Natalia [Auteur]
Savoirs, Textes, Langage (STL) - UMR 8163 [STL]
Rochefort-Morel, Cécile [Auteur]
Centre Hospitalier Universitaire de Rennes [CHU Rennes] = Rennes University Hospital [Pontchaillou]
Chazard, Emmanuel [Auteur]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Polard, Elisabeth [Auteur]
Centre Hospitalier Universitaire de Rennes [CHU Rennes] = Rennes University Hospital [Pontchaillou]
Cuggia, Marc [Auteur]
Centre Hospitalier Universitaire de Rennes [CHU Rennes] = Rennes University Hospital [Pontchaillou]
Centre d'Investigation Clinique [Rennes] [CIC]
Laboratoire Traitement du Signal et de l'Image [LTSI]
Centre Hospitalier Universitaire de Rennes [CHU Rennes] = Rennes University Hospital [Pontchaillou]
Centre d'Investigation Clinique [Rennes] [CIC]
Laboratoire Traitement du Signal et de l'Image [LTSI]
Osmont, Marie-Noëlle [Auteur]
Centre Hospitalier Universitaire de Rennes [CHU Rennes] = Rennes University Hospital [Pontchaillou]
Triquet, Louise [Auteur]
Centre Hospitalier Universitaire de Rennes [CHU Rennes] = Rennes University Hospital [Pontchaillou]
Grabar, Natalia [Auteur]

Savoirs, Textes, Langage (STL) - UMR 8163 [STL]
Rochefort-Morel, Cécile [Auteur]
Centre Hospitalier Universitaire de Rennes [CHU Rennes] = Rennes University Hospital [Pontchaillou]
Chazard, Emmanuel [Auteur]

Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Polard, Elisabeth [Auteur]
Centre Hospitalier Universitaire de Rennes [CHU Rennes] = Rennes University Hospital [Pontchaillou]
Cuggia, Marc [Auteur]
Centre Hospitalier Universitaire de Rennes [CHU Rennes] = Rennes University Hospital [Pontchaillou]
Centre d'Investigation Clinique [Rennes] [CIC]
Laboratoire Traitement du Signal et de l'Image [LTSI]
Journal title :
Journal of evaluation in clinical practice
Pages :
536-544
Publisher :
Wiley
Publication date :
2018-03-13
ISSN :
1356-1294
English keyword(s) :
drug-related side effects and adverse reactions
information storage and retrieval
Adverse Drug Reaction Reporting Systems
Drug-Related Side Effects and Adverse Reactions
Electronic Health Records
Information Storage and Retrieval
information storage and retrieval
Adverse Drug Reaction Reporting Systems
Drug-Related Side Effects and Adverse Reactions
Electronic Health Records
Information Storage and Retrieval
HAL domain(s) :
Sciences du Vivant [q-bio]/Ingénierie biomédicale
English abstract : [en]
Rationale, aims, and objectivesThe spontaneous reporting system currently used in pharmacovigilance is not sufficiently exhaustive to detect all adverse drug reactions (ADRs). With the widespread use of electronic health ...
Show more >Rationale, aims, and objectivesThe spontaneous reporting system currently used in pharmacovigilance is not sufficiently exhaustive to detect all adverse drug reactions (ADRs). With the widespread use of electronic health records, biomedical data collected during the clinical care process can be reused and analysed to better detect ADRs. The aim of this study was to assess whether querying a Clinical Data Warehouse (CDW) could increase the detection of drug-induced anaphylaxis. MethodsAll known cases of drug-induced anaphylaxis that occurred or required hospitalization at Rennes Academic Hospital in 2011 (n=19) were retrieved from the French pharmacovigilance database, which contains all reported ADR events. Then, from the Rennes Academic Hospital CDW, a training set (all patients hospitalized in 2011) and a test set (all patients hospitalized in 2012) were extracted. The training set was used to define an optimized query, by building a set of keywords (based on the known cases) and exclusion criteria to search structured and unstructured data within the CDW in order to identify at least all known cases of drug-induced anaphylaxis for 2011. Then, the real performance of the optimized query was tested in the test set. ResultsUsing the optimized query, 59 cases of drug-induced anaphylaxis were identified among the 253 patient records extracted from the test set as possible anaphylaxis cases. Specifically, the optimal query identified 41 drug-induced anaphylaxis cases that were not detected by searching the French pharmacovigilance database but missed 7 cases detected only by spontaneous reporting. DiscussionWe proposed an information retrieval-based method for detecting drug-induced anaphylaxis, by querying structured and unstructured data in a CDW. CDW queries are less specific than spontaneous reporting and Diagnosis-related Groups queries, although their sensitivity is much higher. CDW queries can facilitate monitoring by pharmacovigilance experts. Our method could be easily incorporated in the routine practice.Show less >
Show more >Rationale, aims, and objectivesThe spontaneous reporting system currently used in pharmacovigilance is not sufficiently exhaustive to detect all adverse drug reactions (ADRs). With the widespread use of electronic health records, biomedical data collected during the clinical care process can be reused and analysed to better detect ADRs. The aim of this study was to assess whether querying a Clinical Data Warehouse (CDW) could increase the detection of drug-induced anaphylaxis. MethodsAll known cases of drug-induced anaphylaxis that occurred or required hospitalization at Rennes Academic Hospital in 2011 (n=19) were retrieved from the French pharmacovigilance database, which contains all reported ADR events. Then, from the Rennes Academic Hospital CDW, a training set (all patients hospitalized in 2011) and a test set (all patients hospitalized in 2012) were extracted. The training set was used to define an optimized query, by building a set of keywords (based on the known cases) and exclusion criteria to search structured and unstructured data within the CDW in order to identify at least all known cases of drug-induced anaphylaxis for 2011. Then, the real performance of the optimized query was tested in the test set. ResultsUsing the optimized query, 59 cases of drug-induced anaphylaxis were identified among the 253 patient records extracted from the test set as possible anaphylaxis cases. Specifically, the optimal query identified 41 drug-induced anaphylaxis cases that were not detected by searching the French pharmacovigilance database but missed 7 cases detected only by spontaneous reporting. DiscussionWe proposed an information retrieval-based method for detecting drug-induced anaphylaxis, by querying structured and unstructured data in a CDW. CDW queries are less specific than spontaneous reporting and Diagnosis-related Groups queries, although their sensitivity is much higher. CDW queries can facilitate monitoring by pharmacovigilance experts. Our method could be easily incorporated in the routine practice.Show less >
Language :
Anglais
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Non
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