Prevention of migraine with olmesartan in patients with hypertension/prehypertension
Abstract
OBJECTIVE: To explore the effects of olmesartan on frequency and severity of migraine attacks in patients with comorbid hypertension and prehypertension.
BACKGROUND: A randomized, double-blind, placebo-controlled, crossover study with a total of 60 patients has demonstrated the efficacy and safety of the angiotensin II receptor blocker candesartan in migraine prophylaxis. We study the potential efficacy and tolerability of olmesartan in preventing migraine in patients with hypertension and prehypertension.
DESIGN/METHODS: Twenty-four adults, aged 27 through 76, with either hypertension or prehypertension, were included in this open-label study. Participants suffered from migraines (diagnosed according to International Headache Society classifications) for at least 3 months. Patients were treated with 10 to 40 mg of olmesartan per various observational periods of at least 3 months. Frequency and severity were recorded by office visits or by telephonic interview.
RESULTS: Patients reported an 82.5% average reduction in the frequency of migraine attacks. Patients also experienced a 45% average reduction in the severity of migraine attacks measured on a numeric pain scale of 1 to 10. The only undesired effect was dizziness or presyncope. No serious adverse events occurred and no adverse event caused a premature termination. Two patients had no reduction in headache frequency, intensity, and blood pressure.
CONCLUSIONS: The favorable results and low rate of adverse effects, in…
How strong is the evidence?
Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design. Reported size: 60 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.