The relationship between migraine headache and asthma features

Dirican, Nigar; Demirci, Seden; Çakır, Münire

doi:10.1007/s13760-017-0764-0

Cited by 11 publications

(13 citation statements)

References 30 publications

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“…The exact pathway leading to comorbidity of migraine and asthma remains unclear. Previous studies have demonstrated an insight into the relationship between migraine and asthma from shared inflammatory, immune, and genetic factors (37)(38)(39). First, the bidirectional association between migraine and asthma is considered to be attributed to the common pathophysiological process of inflammation and immune dysfunction (39).…”

Section: Discussionmentioning

confidence: 99%

“…Previous studies have demonstrated an insight into the relationship between migraine and asthma from shared inflammatory, immune, and genetic factors (37)(38)(39). First, the bidirectional association between migraine and asthma is considered to be attributed to the common pathophysiological process of inflammation and immune dysfunction (39). Studies have shown that allergic responses triggered by allergens, such as pollen, specific grass, release various inflammatory mediators or elevated neuropeptide mediated by mast cells, leading to hypersensitivity of airway responses in patients with asthma (40).…”

Section: Discussionmentioning

confidence: 99%

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The Comorbid Relationship Between Migraine and Asthma: A Systematic Review and Meta-Analysis of Population-Based Studies

Wang

Deng

et al. 2021

Front. Med.

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Objective: Recent studies have indicated a pathophysiologic link between migraine and asthma. This meta-analysis aimed to comprehensively estimate the risk ratio for migraine in asthma as well as that of asthma in migraine based on available evidence.Method: We systematically searched the electronic databases including PubMed, Web of Science, and SCOPUS for population-based studies that measured either the odds or the risk of asthma in subjects with migraine as well as that of migraine in subjects with asthma. The titles and abstracts were screened by two independent reviewers to identify eligible studies, and this was followed by full-text review of the included studies. Newcastle–Ottawa Scale (NOS) was used to assess the risk of bias of included literature. A meta-analysis was conducted with Review Manager 5.3 Software to calculate the odds ratio (OR) for case-control and cross-sectional studies and either relative ratio (RR) or hazard ratio (HR) for cohort studies, and the source of heterogeneity was assessed. Subgroup and sensitivity analyses were conducted, and the I2 test were used to assess the source of heterogeneity. The funnel plot, Galbraith plot, and Egger's test were used to evaluate publication bias.Results: Fifteen published studies covering a total of 1,188,780 individuals were identified. Pooled analysis indicated that migraine was associated with increased odds (OR = 1.54; 95% CI: 1.34~1.77) and risk for asthma (HR = 1.42; 95% CI: 1.26~1.60), and asthma associated with increased odds (OR = 1.45; 95% CI: 1.22~1.72) and risk for migraine (HR = 1.47; 95% CI: 1.41~1.52).Conclusion: Migraine is a potential risk indicator for asthma, and vice versa, asthma is a potential risk indicator for migraine. However, future prospective cohort studies are warranted to provide more evidence concerning the detailed association between migraine and asthma.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

The Comorbid Relationship Between Migraine and Asthma: A Systematic Review and Meta-Analysis of Population-Based Studies

Wang

Deng

et al. 2021

Front. Med.

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“…Moreover, a study investigating the risk of migraine in patients with asthma recently reported that the risk in the asthmatic group was 1.45-fold higher, compared to the non-asthmatic group (27). Similarly, two recent studies have also stated that patients with asthma have a high prevalence of migraine headaches (28,29). As reported in the mentioned studies, it is well established that there is a link between migraine and respiratory disorders, particularly asthma.…”

Section: Discussionmentioning

confidence: 88%

Akciğer Mast Hücre Davranışının Migren Sıçan Modelinde İncelenişi: Migren Baş Ağrısı İçin Çıkarımlar

Kılınç

Balcı

2018

Anadolu Kliniği Tıp Bilimleri Dergisi

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In this study, we aimed to investigate the potential role of lung mast cells in migraine by using a nitroglycerin-induced migraine model in rats. Materials and Methods: Thirty-five adult male Wistar rats were divided into five groups. Each treatment being performed intraperitoneally, the NS group received 0.2 ml normal saline, the NTG group 10 mg/kg nitroglycerin, the NTG vehicle group 0.2 ml 0.1% ethanol in normal saline, the L-NAME+NTG group 50 mg/kg L-NAME + nitroglycerin, and the NS+NTG group normal saline + nitroglycerin. Two hours after the nitroglycerin and other treatments, the rats under anesthesia were intracardially perfused with a solution of 150 ml 4% paraformaldehyde. The lungs were harvested and stained with toluidine blue to observe mast cells. The data were analyzed by using one-way ANOVA. Results: Nitroglycerin increased significantly both number (from 94±3.8 to 131±6.7, p=0.0035) and percent of degranulation (from 11.8±1.3% to 35.5±5.7%, p=0.003) of lung mast cells. However, L-NAME prevented the effects of nitroglycerin on the number and degranulation of lung mast cells, attenuating the increase in both number (from 136±5.1 to 93±2.5, p=0.0011) and degranulation percentage of lung mast cells (from 37.3±1.0% to 13.6±3.1%, p=0.001) induced by nitroglycerin. Discussion and Conclusion: Our findings demonstrate that nitroglycerin treatment leads to an increase in the number and degranulation of lung mast cells in a rat model of migraine induced by nitroglycerin. Moreover, L-NAME prevented these effects, suggesting that nitric oxide released from nitroglycerin directly or indirectly leads to the activation of lung mast cells. The results obtained in the current study can pioneer new research on the role of lung mast cells in migraine.

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“…In our study, we selected the fifth visit from the asthma index as the prediction date (testing set A) according to the average number of visits (5.78, SD 6.04) between asthma index and exacerbation among the patients. The detailed steps for the cohort selection are listed in Multimedia Appendix 1 [4,25,[40][41][42][43][44][45][46][47][48][49][50][51][52][53][54][55]. In next-visit prediction, we simply set the penultimate visit as the prediction date (testing set B).…”

Section: Methodsmentioning

confidence: 99%

Asthma Exacerbation Prediction and Risk Factor Analysis Based on a Time-Sensitive, Attentive Neural Network: Retrospective Cohort Study (Preprint)

Xiang¹,

Ji²,

Zhou³

et al. 2019

Preprint

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BACKGROUND Asthma exacerbation is an acute or subacute episode of progressive worsening of asthma symptoms and can have a significant impact on patients’ quality of life. However, efficient methods that can help <i>identify personalized risk factors and make early predictions</i> are lacking. OBJECTIVE This study aims to use advanced deep learning models to better predict the risk of asthma exacerbations and to explore potential risk factors involved in progressive asthma. METHODS We proposed a novel time-sensitive, attentive neural network to predict asthma exacerbation using clinical variables from large electronic health records. The clinical variables were collected from the Cerner Health Facts database between 1992 and 2015, including 31,433 adult patients with asthma. Interpretations on both patient and cohort levels were investigated based on the model parameters. RESULTS The proposed model obtained an area under the curve value of 0.7003 through a five-fold cross-validation, which outperformed the baseline methods. The results also demonstrated that the addition of elapsed time embeddings considerably improved the prediction performance. Further analysis observed diverse distributions of contributing factors across patients as well as some possible cohort-level risk factors, which could be found supporting evidence from peer-reviewed literature such as respiratory diseases and esophageal reflux. CONCLUSIONS The proposed neural network model performed better than previous methods for the prediction of asthma exacerbation. We believe that personalized risk scores and analyses of contributing factors can help clinicians better assess the individual’s level of disease progression and afford the opportunity to adjust treatment, prevent exacerbation, and improve outcomes.

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The relationship between migraine headache and asthma features

Cited by 11 publications

References 30 publications

The Comorbid Relationship Between Migraine and Asthma: A Systematic Review and Meta-Analysis of Population-Based Studies

The Comorbid Relationship Between Migraine and Asthma: A Systematic Review and Meta-Analysis of Population-Based Studies

Akciğer Mast Hücre Davranışının Migren Sıçan Modelinde İncelenişi: Migren Baş Ağrısı İçin Çıkarımlar

Asthma Exacerbation Prediction and Risk Factor Analysis Based on a Time-Sensitive, Attentive Neural Network: Retrospective Cohort Study (Preprint)

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