Migraine, cardiovascular disease, and stroke during pregnancy: systematic review of the literature
Abstract
OBJECTIVE: The objective of this article is to review the literature relating migraine, cardiovascular disease, and stroke during pregnancy in order to better define the relationship between migraines and vascular disease.
METHODS: We conducted a systematic review of the literature using Medline and Cochrane Review with the following search terms: migraine AND pregnancy and vascular disease OR myocardial infarction OR heart disease OR stroke OR cerebrovascular disease OR hypertension in pregnancy. We also reviewed the bibliographies of papers identified in this search to obtain additional relevant studies.
RESULTS: Of the 219 papers obtained with the primary search, we found 17 that were topically relevant. Altogether, there is an increased risk both of gestational hypertension (OR range from 1.23 to 1.68) and preeclampsia (OR range 1.08 to 3.5) in migraineurs compared to nonmigraineurs. In addition, there is an association between an increased risk of ischemic stroke in pregnancy (OR range 7.9 to 30.7), particularly with active migraine. There is also an association between migraine and increased risk of acute myocardial infarction and heart disease (OR 4.9; 95% CI 1.7, 14.2), and thromboembolic events during pregnancy (deep venous thrombosis OR 2.4; 95% CI 1.3, 4.2 and pulmonary embolus OR 3.1; 95% CI 1.7, 5.6).
CONCLUSION: In this review, we summarized the association between migraine and risk of vascular disease during pregnancy, based on the available literature. Given…
How strong is the evidence?
Evidence Hub reads this as a systematic review, 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.