Migraine and atrial fibrillation: a systematic review and meta-analysis
Abstract
BACKGROUND: Patients with migraines, particularly those with auras, may present with stroke. Atrial fibrillation is a known risk factor for stroke. With common pathophysiological factors between migraines and atrial fibrillation, we aimed to clarify the association between migraine and atrial fibrillation in this systematic review and meta-analysis. METHODS: A literature search was conducted in EMBASE, PubMed, Scopus and Cochrane electronic bibliographic databases from inception to 5 September 2022 with the following inclusion criteria: (a) cohort or cross-sectional studies; (b) studies that included only patients aged ≥18 years; and (c) studies that examined the association between atrial fibrillation and migraines. Exclusion criteria were case-control studies and the studies that included patients with previous diagnosis of atrial fibrillation or nonmigrainous headache. The Newcastle-Ottawa Scale was used to assess the quality of studies. RESULTS: Six studies were included, demonstrating a pooled prevalence of atrial fibrillation of 1.61% (95% confidence interval [CI] 0.51, 3.29) in migraine with aura and 1.32% (95% CI 0.17, 3.41) in migraine without aura. The overall prevalence of atrial fibrillation in migraine was 1.39% (95% CI 0.24, 3.46). CONCLUSION: In this systematic review and meta-analysis, the overall prevalence of atrial fibrillation in patients with migraine was low. Further studies are needed to clarify this relationship.
How strong is the evidence?
Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.
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.