White matter hyperintensities in migraine: Clinical significance and central pulsatile hemodynamic correlates

Cephalalgia ◽  
2017 ◽  
Vol 38 (7) ◽  
pp. 1225-1236 ◽  
Author(s):  
Chun-Yu Cheng ◽  
Hao-Min Cheng ◽  
Shih-Pin Chen ◽  
Chih-Ping Chung ◽  
Yung-Yang Lin ◽  
...  

Background The role of central pulsatile hemodynamics in the pathogenesis of white matter hyperintensities in migraine patients has not been clarified. Methods Sixty patients with migraine (20–50 years old; women, 68%) without overt vascular risk factors and 30 demographically-matched healthy controls were recruited prospectively. Cerebral white matter hyperintensities volume was determined by T1-weighted magnetic resonance imaging with CUBE-fluid-attenuated-inversion-recovery sequences. Central systolic blood pressure, carotid-femoral pulse wave velocity, and carotid augmentation index were measured by applanation tonometry. Carotid pulsatility index was derived from Doppler ultrasound carotid artery flow analysis. Results Compared to the controls, the migraine patients had higher white matter hyperintensities frequency (odds ratio, 2.75; p = 0.04) and greater mean white matter hyperintensities volume (0.174 vs. 0.049, cm3, p = 0.04). Multivariable regression analysis showed that white matter hyperintensities volume in migraine patients was positively associated with central systolic blood pressure ( p = 0.04) and carotid-femoral pulse wave velocity ( p < 0.001), but negatively associated with carotid pulsatility index ( p = 0.04) after controlling for potential confounding factors. The interaction effects observed indicated that the influence of carotid-femoral pulse wave velocity ( p = 0.004) and central systolic blood pressure ( p = 0.03) on white matter hyperintensities formation was greater for the lower-carotid pulsatility index subgroup of migraine patients. White matter hyperintensities volume in migraine patients increased with decreasing carotid pulsatility index and with increasing central systolic blood pressure or carotid-femoral pulse wave velocity. Conclusions White matter hyperintensities are more common in patients with migraine than in healthy controls. Increased aortic stiffness or central systolic blood pressure in the presence of low intracranial artery resistance may predispose patients with migraine to white matter hyperintensities formation.

BMJ Open ◽  
2019 ◽  
Vol 9 (Suppl 3) ◽  
pp. 34-43 ◽  
Author(s):  
Freya K Kahn ◽  
Melissa Wake ◽  
Kate Lycett ◽  
Susan Clifford ◽  
David P Burgner ◽  
...  

ObjectivesTo describe the epidemiology and parent–child concordance of vascular function in a population-based sample of Australian parent–child dyads at child age 11–12 years.DesignCross-sectional study (Child Health CheckPoint), nested within a prospective cohort study, the Longitudinal Study of Australian Children (LSAC).SettingAssessment centres in seven major Australian cities and eight regional towns or home visits, February 2015–March 2016.ParticipantsOf all participating CheckPoint families (n=1874), 1840 children (49% girls) and 1802 parents (88% mothers) provided vascular function data. Survey weights and methods were applied to account for LSAC’s complex sample design and clustering within postcodes and strata.Outcome measuresThe SphygmoCor XCEL assessed vascular function, generating estimates of brachial and central systolic blood pressure and diastolic blood pressure, central pulse pressure, augmentation index and carotid–femoral pulse wave velocity. Pearson’s correlation coefficients and multivariable linear regression models estimated parent–child concordance.ResultsHypertension was present in 3.9% of children and 9.0% of parents. Mean child and parent values for augmentation index were 4.5% (SD 11.6) and 21.3% (SD 12.3), respectively, and those for carotid–femoral pulse wave velocity were 4.48 m/s (SD 0.59) and 6.85 m/s (SD 1.14), respectively. Parent–child correlation for brachial systolic blood pressure was 0.20 (95% CI 0.15 to 0.24), brachial diastolic blood pressure 0.21 (95% CI 0.16 to 0.26), central systolic blood pressure 0.21 (95% CI 0.16 to 0.25), central diastolic blood pressure 0.21 (95% CI0.17 to 0.26), central pulse pressure 0.19 (95% CI 0.14 to 0.24), augmentation index 0.28 (95% CI 0.23 to 0.32) and pulse wave velocity 0.22 (95% CI 0.18 to 0.27).ConclusionsWe report Australian values for traditional and more novel vascular function markers, providing a reference for future population studies. Cross-generational concordance in multiple vascular function markers is already established by age 11–12 years, with mechanisms of heritability remaining to be explored.


PLoS ONE ◽  
2018 ◽  
Vol 13 (9) ◽  
pp. e0203305 ◽  
Author(s):  
Mark A. Supiano ◽  
Laura Lovato ◽  
Walter T. Ambrosius ◽  
Jeffrey Bates ◽  
Srinivasan Beddhu ◽  
...  

10.2196/29212 ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. e29212
Author(s):  
Dohyun Park ◽  
Soo Jin Cho ◽  
Kyunga Kim ◽  
Hyunki Woo ◽  
Jee Eun Kim ◽  
...  

Background Pulse transit time and pulse wave velocity (PWV) are related to blood pressure (BP), and there were continuous attempts to use these to predict BP through wearable devices. However, previous studies were conducted on a small scale and could not confirm the relative importance of each variable in predicting BP. Objective This study aims to predict systolic blood pressure and diastolic blood pressure based on PWV and to evaluate the relative importance of each clinical variable used in BP prediction models. Methods This study was conducted on 1362 healthy men older than 18 years who visited the Samsung Medical Center. The systolic blood pressure and diastolic blood pressure were estimated using the multiple linear regression method. Models were divided into two groups based on age: younger than 60 years and 60 years or older; 200 seeds were repeated in consideration of partition bias. Mean of error, absolute error, and root mean square error were used as performance metrics. Results The model divided into two age groups (younger than 60 years and 60 years and older) performed better than the model without division. The performance difference between the model using only three variables (PWV, BMI, age) and the model using 17 variables was not significant. Our final model using PWV, BMI, and age met the criteria presented by the American Association for the Advancement of Medical Instrumentation. The prediction errors were within the range of about 9 to 12 mmHg that can occur with a gold standard mercury sphygmomanometer. Conclusions Dividing age based on the age of 60 years showed better BP prediction performance, and it could show good performance even if only PWV, BMI, and age variables were included. Our final model with the minimal number of variables (PWB, BMI, age) would be efficient and feasible for predicting BP.


Stroke ◽  
2013 ◽  
Vol 44 (suppl_1) ◽  
Author(s):  
Shengxu Li ◽  
Wei Chen ◽  
Camilo Fernandez ◽  
Sathanur R Srinivasan ◽  
Gerald S Berenson

Arterial stiffness is an important risk factor for cardiovascular diseases including stroke. It has been established that childhood cardiovascular (CV) risk factors are predictive of adulthood arterial stiffness as measured by pulse wave velocity. Limited information is available on this relationship such as race- and sex-specific differential effects. This aspect was examined in a black-white, longitudinal cohort of 786 adults (28% blacks, 42% men) aged 23-44 years who were examined as both children (age<18 years) and adults (age≥18 years) for traditional CV risk factors with an average follow-up period of 24.2 years. Multiple childhood measurements were averaged and standardized to age-specific z-scores. Brachial-ankle pulse wave velocity (baPWV) measured by an automatic oscillometric technique was used as an index of arterial stiffness in adults. Systolic blood pressure in childhood was predictive of baPWA in adults (P=0.002) in the total cohort. However, nominally significant (P<0.05) childhood predictors of adult baPWV included body mass index (BMI), low-density lipoprotein cholesterol (LDL-C) and systolic blood pressure in white men; systolic blood pressure in white women; and BMI in black women. For race difference, childhood LDL-C tended to show a stronger effect on baPWA in adults in whites than in blacks (P=0.04). For sex difference, BMI tended to be a stronger predictor and LDL-C a weaker predictor in women than in men (P=0.0002 and P=0.003, respectively). Such differences persisted even after adjustment for adulthood risk factors (P<0.05 in all cases). In conclusion, the predictability of childhood CV risk factors for increased arterial stiffness in adulthood varies by race and sex, and this observation indicates that arterial stiffening is different in blacks vs whites and in men vs women.


Sign in / Sign up

Export Citation Format

Share Document