Comorbidity between hypothyroidism and headache disorders in a Mexican population
Abstract
INTRODUCTION: Headache and hypothyroidism are common comorbidities. This is a cross-sectional study of the prevalence of hypothyroidism in headache patients in the largest Mexican headache registry.
PATIENTS AND METHODS: PREMECEF is an e-database for patients with headaches. Data was recollected from July 2017-April 2019 in three centers of Monterrey, Mexico.
RESULTS: Of 869 patients, 35 (4%) had hypothyroidism. Four had two different headache diagnoses; of the 39 individual diagnoses, 23 were primary, 1 secondary, 13 cranial neuralgias, and 2 unspecified headaches. Hypothyroidism prevalence: 8.3% in unspecified, 6.5% in cranial neuralgias, 3.4% in primary, and 1.9% in secondary headaches; in tension-type headache (TTH) was 3.9%, in migraines 3.2%, in trigeminal neuralgia 6.1%, and in occipital neuralgia 6.3%.
CONCLUSION: This is the first report on the prevalence of hypothyroidism in occipital and trigeminal neuralgia. The prevalence of hypothyroidism in migraine and TTH is higher than the general population.
TITLE: Comorbilidad entre hipotiroidismo y cefalea en la población mexicana.
UNLABELLED: Introducción. Cefalea e hipotiroidismo son comorbilidades comunes. Éste es un estudio transversal de la prevalencia del hipotiroidismo en pacientes con cefalea en el registro de cefalea más grande de México. Pacientes y métodos. PREMECEF es una base de datos electrónica para pacientes con cefalea. La información se recolectó de julio de 2017 a abril de 2019 en tres centros médicos…
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: 869 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.