Global differences and risk factors influencing drug hypersensitivity quality of life: A multicenter, multiethnic study of drug allergy across 3 continents
Ana M. Copaescu MD, FRCP , Hugo W.F. Mak MBBS , Sara Vogrin MBiostat , Natasha E. Holmes PhD , Jason A. Trubiano PhD , Philip H. Li MD
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引用次数: 0
Abstract
Background
Penicillin allergy labels are associated with many adverse outcomes. Fear and restriction of future medication use also have an impact on health-related quality of life (HR-QoL). However, the impact of a drug allergy on HR-QoL and its associated factors remains unknown.
Objective
We sought to investigate the impact of penicillin allergy labels and compare the factors associated with HR-QoL impairment among patients in an international multicenter, multiethnic cohort.
Methods
HR-QoL was measured using the 6-item Drug Hypersensitivity Quality of Life Questionnaire (DrHy-Q) and compared among patients labeled with penicillin allergy, before their allergy evaluation, from 8 adult allergy/immunology clinics across Asia, Australia, and North America.
Results
We recruited 643 patients labeled with penicillin allergy (median age, 56 years [interquartile range, 39-67]; male:female ratio, 1:2.2), with 273 (42.5%), 186 (28.9%), and 184 (28.6%) from Asia, North America, and Australia, respectively. The median DrHy-Q score was 8.3 (interquartile range, 0.0-29.2). All patients underwent penicillin allergy evaluation, and 96% (617 of 643) were delabeled following negative provocation test results. Female patients (8.3 vs 4.2; P = .003), those with other concomitant antimicrobial allergy labels (20.8 vs 4.2; P = .004), and patients from Asia (33.3 vs 4.2 [North America] vs 0 [Australia]; P < .001) had significantly higher DrHy-Q scores, reflecting a reduced HR-QoL. Ethnicity as well as other allergy variables were not significant in the multivariate analysis.
Conclusions
Regional differences, ethnicity, and other risk factors influence HR-QoL impairment among patients labeled with penicillin allergy. Future studies are needed to understand the contributions of regional sociodemographic factors and identify interventions to improve HR-QoL.