Lipid profile abnormalities in migraine patients: A cross-sectional study
Abstract
Background. Migraine is a common neurological disorder characterized by moderate-to-severe headaches lasting 4 to 72 hours. Dyslipidemia has been suggested as a risk factor for migraine and may increase the risk of coronary vascular disease. Given the high prevalence of migraine in India, further investigation into lipid profiles among migraine patients is warranted. This study aims to explore lipid profile differences in patients with migraine, focusing on those with and without aura. Methods. This cross-sectional study included 50 migraine patients of both sexes. Demographic and clinical data, including age, sex, body mass index (BMI), migraine type, aura presence, and duration, were collected. Lipid profiles measured included low-density lipoprotein (LDL), high-density lipoprotein (HDL), serum triglycerides, and total cholesterol. Results. Among 50 patients, females predominated, and most were aged 21–50 years with normal BMI (64%). Migraines with aura accounted for 72%, while 28% had migraines without aura. Lipid profiles significantly differed between groups: patients with aura had elevated total cholesterol and triglycerides, along with normal HDL levels. In contrast, patients without aura exhibited lower HDL and very-low-density lipoprotein (VLDL) levels. LDL levels did not differ significantly between the groups. Conclusion. The study demonstrates a significant association between lipid profile abnormalities and migraine types, with elevated total cholesterol and…
How strong is the evidence?
Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 50 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.