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Article: Population-based drug-related anaphylaxis in children and adolescents captured by South Carolina Emergency Room Hospital Discharge Database (SCERHDD) (2000-2002).

West, Suzanne L / D'Aloisio, Aimee A / Ringel-Kulka, Tamar / Waller, Anna E / Clayton Bordley, W

Pharmacoepidemiology and drug safety

2007  Volume 16, Issue 12, Page(s) 1255–1267

Abstract: Purpose: Anaphylaxis is a life-threatening condition; drug-related anaphylaxis represents approximately 10% of all cases. We assessed the utility of a statewide emergency department (ED) database for identifying drug-related anaphylaxis in children by ... ...

Abstract Purpose: Anaphylaxis is a life-threatening condition; drug-related anaphylaxis represents approximately 10% of all cases. We assessed the utility of a statewide emergency department (ED) database for identifying drug-related anaphylaxis in children by developing and validating an algorithm composed of ICD-9-CM codes.
Methods: There were 1 314,760 visits to South Carolina (SC) emergency departments (EDs) for patients <19 years in 2000-2002. We used ICD-9-CM disease or external cause of injury codes (E-codes) that suggested drug-related anaphylaxis or a severe drug-related allergic reaction. We found 50 cases classifiable as probable or possible drug-related anaphylaxis and 13 as drug-related allergic reactions. We used clinical evaluation by two pediatricians as the 'alloyed gold standard'1 for estimating sensitivity, specificity, and positive predictive value (PPV) of our algorithm.
Results: ED-treated drug-related anaphylaxis in the SC pediatric population was 1.56/100,000 person-years based on the algorithm and 0.50/100,000 person-years based on clinical evaluation. Assuming the disease codes we used identified all potential anaphylaxis cases in the database, the sensitivity was 1.00 (95%CI: 0.79, 1.00), specificity was 0.28 (95%CI: 0.16, 0.43), and the PPV was 0.32 (0.20, 0.47) for the algorithm. Sensitivity analyses improved the measurement properties of the algorithm.
Conclusions: E-codes were invaluable for developing an anaphylaxis algorithm although the frequently used code of E947.9 was often incorrectly applied. We believe that our algorithm may have over-ascertained drug-related anaphylaxis patients seen in an ED, but the clinical evaluation may have under-represented this diagnosis due to limited information on the offending agent in the abstracted ED records. Post-marketing drug surveillance using ED records may be viable if clinicians were to document drug-related anaphylaxis in the charts so that billing codes could be assigned properly.
MeSH term(s) Adolescent ; Adverse Drug Reaction Reporting Systems/statistics & numerical data ; Algorithms ; Anaphylaxis/chemically induced ; Anaphylaxis/epidemiology ; Anaphylaxis/therapy ; Child ; Child, Preschool ; Databases, Factual/statistics & numerical data ; Emergency Service, Hospital/statistics & numerical data ; Humans ; Medical Records/statistics & numerical data ; Patient Discharge/statistics & numerical data ; Pilot Projects ; Product Surveillance, Postmarketing/methods ; Product Surveillance, Postmarketing/statistics & numerical data ; South Carolina/epidemiology
Language English
Publishing date 2007-12
Publishing country England
Document type Journal Article ; Research Support, U.S. Gov't, P.H.S.
ZDB-ID 1099748-9
ISSN 1099-1557 ; 1053-8569
ISSN (online) 1099-1557
ISSN 1053-8569
DOI 10.1002/pds.1502
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