A Retrospective Analysis of Disease Epidemiology, Comorbidity Burden, Treatment Patterns, and Healthcare Resource Utilization of Migraine in the United Arab Emirates
Abstract
Migraine is a recurrent, disabling neurological disorder with a substantial global disease burden. However, limited real-world data are available on the patient characteristics, treatment patterns, comorbidities, and economic burden of migraine in the United Arab Emirates (UAE). In this study, we evaluated the disease burden, comorbidities, treatment patterns, specialties involved in migraine diagnosis, and healthcare resource utilization (HCRU) and associated costs in patients with migraine in Dubai, UAE. A retrospective, secondary database cohort study was conducted from 01 January 2014 to 31 March 2022 using the Dubai Real-World Database. Patients aged ≥ 18 years with at least one diagnosis claim for migraine with continuous enrollment during the study period were included. Patients were stratified into treatment sub-cohorts. Outcomes were evaluated in terms of clinical characteristics, comorbidities, specialists visited, treatment patterns, and HCRU. The study included 203,222 patients (mean age: 40 years), with male predominance (55.4%). About 13.4% of patients had specific cardiovascular comorbidities. Frequently prescribed drug classes were nonsteroidal anti-inflammatory drugs (84.4%), triptans (29.8%), and beta-blockers (12.8%), while only 1.0% of patients with migraine were prescribed newer medications like calcitonin gene-related peptide antagonists. General medicine was the most frequently visited specialty on the index date (51.5%). The all-cause and…
How strong is the evidence?
Evidence Hub reads this as a cohort study, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence. Reported size: 203,222 participants or records.
Read the paper
Related studies
- Calcium Ions in the Physiology and Pathology of the Central Nervous System
- AI-powered in silico twins: redefining precision medicine through simulation, personalization, and predictive healthcare
- In silico functional, structural and pathogenicity analysis of missense single nucleotide polymorphisms in human MCM6 gene
- In Silico drug repurposing pipeline using deep learning and structure based approaches in epilepsy
- Targeting serotonin receptors with phytochemicals – an in-silico study
- In silico exploration of anti-prostate cancer compounds from differential expressed genes
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.