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The prevalence and risk factors of drug allergy in Sri Lanka—a multi-centre cross-sectional observational study (2024–2025)

Year: 2026
Type: article
Study design: Observational Study
Abstract: Background: There is a huge burden of drug allergy (DA) in High-Income Countries and is a major impediment to clinical management, adversely affecting outcomes. Data regarding DA from low-and middle-income countries (LMICs) are sparse. Also, there is a vast unmet demand for DA services in LMICs. We aimed to determine the prevalence of self-reported and physician-documented DAs in Sri Lanka and to explore potential risk factors associated with DA labels. Methods: Cross-sectional, observational study was carried out among adults presenting to outpatient clinics in selected secondary and tertiary care centres during December 2024 to April 2025. A standardised e-proforma in a 1-1 interview captured details. Potential risk factors were explored using multivariable logistic regression. Findings: Total number of respondents was 12,491: Females: 8410 (67.4%) and males: 4081 (32.6%). Mean age (SD) was 55.1 (14.4) years and 727 reported allergies to 868 drugs; prevalence = 5.8% (95% CI: 5.42-6.24); allergy to ≥2 drugs = 0.74%. Most common reported were antibiotics (41.5%; penicillins most common), nonsteroidal-anti-inflammatory drugs (13%), and paracetamol (10.6%). In the mixed-effect logistic model, odds of DA were lower among males (AOR: 0.74, 95% CI: 0.61-0.88; p < 0.001), and Tamil ethnicity (AOR: 0.67; 95% CI: 0.51-0.89; p = 0.005). Higher odds were observed in 50-<60-year (AOR: 1.55; 95% CI: 1.20-1.99.; p < 0.001) and 60-93-year (AOR: 1.38; 95% CI: 1.08-1.77, p = 0.011) age groups and allergic, endocrine, cardiovascular, rheumatological, neurological, and haematological comorbidities. Interpretation: There is a high burden of reported DA in Sri Lanka. This is compounded by an unmet demand for DA services highlighting a need for capacity building. Funding: Institute of Global Innovation, University of Birmingham, UK.
Language: English
Subfield: Pharmacology
Field: Medicine
Open Access status: gold
Estimated APC paid: $2,250
OpenAlex ID: W7164906820
FWCI:
Cites: 30
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