Literature DB >> 28779998

Frequency of self-reported drug allergy: A systematic review and meta-analysis with meta-regression.

Bernardo Sousa-Pinto1, João Almeida Fonseca2, Eva Rebelo Gomes3.   

Abstract

BACKGROUND: Patients reporting drug allergy are treated with second-line therapies, with possible negative clinical and health consequences.
OBJECTIVE: To assess the prevalence of self-reported drug allergy.
METHODS: We performed a systematic review of observational studies assessing the prevalence of self-reported drug allergy. We searched 4 electronic databases. From selected studies, we extracted data on self-reported drug allergy prevalence, study design, participants' demographic characteristics, reported clinical manifestations, and suspected culprit drugs. We performed a random-effects meta-analysis followed by a meta-regression.
RESULTS: Fifty-three studies were included in the systematic review, assessing a total of 126,306 participants, of whom 8.3% (range across studies 0.7-38.5%) self-reported drug allergy. Cutaneous manifestations were reported by 68.2% of participants, and anaphylactic or systemic reactions were reported by 10.8%. Antibiotics, nonsteroidal anti-inflammatory drugs, and anesthetics were the most frequently reported culprit drug classes. The frequency of self-reported drug allergy was higher in female (11.4%) than in male (7.2%) patients, adults (10.0%) than in children (5.1%), and in studies in the medical setting (15.9% in inpatients, 11.4% in outpatients) than in the general population (5.9%). The meta-analysis rendered a pooled prevalence of 7.9% (95% confidence interval 6.4-9.6), and the meta-regression identified study region, participants' age group, and study setting as factors associated with significant heterogeneity. Confirmation tests (including skin, in vitro, and drug provocation tests) were performed in only 3 studies.
CONCLUSION: The prevalence of self-reported drug allergy is highly variable and is higher in female patients, adults, and inpatients. To overcome this variability, further studies using confirmation tests are needed.
Copyright © 2017 American College of Allergy, Asthma & Immunology. Published by Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28779998     DOI: 10.1016/j.anai.2017.07.009

Source DB:  PubMed          Journal:  Ann Allergy Asthma Immunol        ISSN: 1081-1206            Impact factor:   6.347


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