Large Health System Databases and Drug Hypersensitivity.
Anti-Bacterial Agents
/ adverse effects
Data Accuracy
Data Collection
Databases, Factual
Delivery of Health Care
Documentation
Drug Hypersensitivity
/ epidemiology
Drug-Related Side Effects and Adverse Reactions
/ epidemiology
Electronic Health Records
Humans
Incidence
International Classification of Diseases
Penicillins
/ adverse effects
Stevens-Johnson Syndrome
/ epidemiology
Sulfonamides
/ adverse effects
Adverse drug reaction
Allergy
Anaphylaxis
Antibiotic
Database
Drug
Electronic health record
Hypersensitivity
Incidence
Intolerance
Prevalence
Serious cutaneous adverse reactions
Journal
The journal of allergy and clinical immunology. In practice
ISSN: 2213-2201
Titre abrégé: J Allergy Clin Immunol Pract
Pays: United States
ID NLM: 101597220
Informations de publication
Date de publication:
Historique:
received:
25
03
2019
revised:
09
04
2019
accepted:
09
04
2019
entrez:
10
9
2019
pubmed:
10
9
2019
medline:
15
9
2020
Statut:
ppublish
Résumé
Large health system databases have revolutionized our understanding of the epidemiology of adverse drug reactions and immunologically mediated drug hypersensitivity. Population-based background rates of newly reported drug intolerance with each therapeutic exposure could not have been determined without large health system databases. Large databases have increased our understanding of multiple drug intolerance syndrome. Large health care systems, such as Kaiser Permanente, with a single electronic medical record system that covers all inpatient, outpatient, and pharmacy interactions, are particularly valuable in understanding the population-based incidence of severe and nonsevere adverse drug reactions, the risks of delayed-onset adverse drug reactions, such as those caused by Clostridiodes difficile, which can occur months after antibiotic exposures, and the risks and benefits associated with "allergy" delabeling, specifically penicillin allergy delabeling, which may accrue in the years after the delabeling. There currently are limitations to using electronic data, specifically billing code data, when studying adverse drug reactions. It is critical to audit electronic health records, which have temporally associated the use of a drug and an adverse reaction because of high rates of miscoding or lack of true cause and effect. Pending improvements in drug hypersensitivity coding in International Classification of Diseases, Eleventh Revision may make large databases even more useful.
Identifiants
pubmed: 31495422
pii: S2213-2198(19)30387-3
doi: 10.1016/j.jaip.2019.04.014
pii:
doi:
Substances chimiques
Anti-Bacterial Agents
0
Penicillins
0
Sulfonamides
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
2125-2131Informations de copyright
Copyright © 2019 American Academy of Allergy, Asthma & Immunology. Published by Elsevier Inc. All rights reserved.