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The potential impact of primary headache disorders on stroke risk

Overview of attention for article published in The Journal of Headache and Pain, December 2016
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Title
The potential impact of primary headache disorders on stroke risk
Published in
The Journal of Headache and Pain, December 2016
DOI 10.1186/s10194-016-0701-2
Pubmed ID
Authors

Chia-Lin Tsai, Chung-Hsing Chou, Pei-Jung Lee, Jiu-Haw Yin, Shao-Yuan Chen, Chun-Chieh Lin, Yueh-Feng Sung, Fu-Chi Yang, Chi-Hsiang Chung, Wu-Chien Chien, Chia-Kuang Tsai, Jiunn-Tay Lee

Abstract

Headache such as migraine is associated with stroke. Studies focused on primary headache disorders (PHDs) as a risk factor for stroke are limited. The purpose of this population-based cohort study was to explore whether patients with PHDs were at a high risk for developing stroke. A total of 1346 patients with PHDs were enrolled and compared with 5384 age-, gender- and co-morbidity-matched control cohorts. International Classification of Diseases, Clinical Modification codes were administered for the definition of PHDs, stroke, and stroke risk factors. Cox proportional-hazards regressions were performed for investigating hazard ratios (HR). PHDs patients exhibited a 1.49 times (95% CI :1.15-1.98, p < 0.01) higher risk for developing ischaemic stroke compared with that of control cohorts. Both migraine (HR = 1.22, 95% CI :1.13-1.97, p < 0.05) and tension-type headache (HR = 2.29, 95% CI :1.22-2.80, p < 0.01) were associated with an increased risk of ischemic stroke. Females with PHDs were at greater risk of developing ischaemic stroke (HR = 1.49, 95% CI :1.13-1.90, p < 0.01) than those without PHDs. PHDs patient aged 45 to 64 years displayed significantly higher risk to develop ischaemic stroke (HR = 1.50, 95% CI: 1.11-2.10, p < 0.05) than the matched controls. The impact of PHDs on ischaemic stroke risk became gradually apparent by different following time intervals beyond 2 years after first diagnosis. PHDs is suggestive of an incremental risk for ischaemic stroke with gender-dependent, age-specific and time-dependent characteristics.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 11%
Student > Postgraduate 3 8%
Student > Master 3 8%
Student > Doctoral Student 3 8%
Student > Bachelor 2 5%
Other 8 21%
Unknown 15 39%
Readers by discipline Count As %
Medicine and Dentistry 7 18%
Nursing and Health Professions 4 11%
Computer Science 2 5%
Psychology 2 5%
Neuroscience 2 5%
Other 4 11%
Unknown 17 45%