The relationship between cerebral white matter hyperintensities and lower urinary tract function in a population based, geriatric cohort

Wehrberger, Clemens; Jungwirth, Susanne; Fischer, Peter; Tragl, Karl-Heinz; Krampla, Wolfgang; Wehrberger, Marlies; Madersbacher, Stephan

doi:10.1002/nau.22419

Cited by 12 publications

(9 citation statements)

References 24 publications

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“…In a large population-based cohort of 70-year old individuals, 15.1% had a high Fazekas WMSA burden. This frequency is, as expected, higher than that reported in younger population-based cohorts (frequency of 10%) [16] and lower than that reported in older cohorts (frequencies between 26-36%) [3,17]. Our correlation analyses showed a strong association between LST and FreeSurfer WMSA.…”

Section: Discussionsupporting

confidence: 80%

“…However, given the quadratic association between both automated measures and previous findings showing similar results [2,14,15], we suggest that our findings are related to different underlying pathology rather than the differences in their slice thickness. The association of Fazekas scores, LST WMSA, and FreeSurfer WMSA with demographic, cognitive, and clinical factors has been investigated in previous studies [4,5,16,17,23,24] and is beyond the scope of our study. We decided to focus on the association between these three methods and their potential interchangeability, as well as on deriving cut-off values for predicting high and low Fazekas scores from automatic segmentations of WMSA.…”

Section: Discussionmentioning

confidence: 99%

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Predicting Fazekas scores from automatic segmentations of white matter signal abnormalities

Cedrés

Ferreira

Machado

et al. 2020

Aging

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Section: Discussionsupporting

confidence: 80%

Section: Discussionmentioning

confidence: 99%

Predicting Fazekas scores from automatic segmentations of white matter signal abnormalities

Cedrés

Ferreira

Machado

et al. 2020

Aging

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“…The results of our study were echoed by Wehrberger et al [ 28 ]. Both the studies could not demonstrate a clear relationship between WML and LUTS.…”

Section: Discussionsupporting

confidence: 85%

Lower Urinary Tract Symptoms in Subjects with Subclinical Cerebral White Matter Lesions

Yee

Leung

Wong

et al. 2018

Journal of Aging Research

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Aim We assessed the impact of cerebral white matter lesions (WMLs) on lower urinary tract symptoms in subjects with normal neurological and cognitive function. Methods A cohort of community-dwelling subjects aged ≥65 years were recruited to undergo MRI brain assessment. WMLs were graded using the Fazekas scale from 0 to 3. A separate telephone interview was carried out to assess the urinary symptoms in these subjects using the questionnaire Overactive Bladder-Validated 8-Question Awareness Tool (OAB-V8). Results 800 community-dwelling elderly subjects were recruited to undergo MRI brain. In this cohort, 431 subjects responded to the telephone interview concerning their urinary symptoms. Among the respondents, 21.1% did not exhibit any WML on their MRI brain. Most of the subjects (52.6%) exhibited grade 1 WML. On logistic regression, age was found to be positively correlated with the Fazekas score (correlation coefficient 0.203, p ≤ 0.01). Using a cutoff of 8 on OAB-V8, 22% of the respondents experienced OAB. Presence of WML, hypertension, or diabetes mellitus was not found to be correlated with storage urinary symptoms or OAB-V8 total score. Multiple logistic regression analysis did not show the presence of WML to be associated with the diagnosis of OAB (adjusted OR 1.13, 95% CI 0.65–1.96, p=0.659). Conclusions WML is associated with age and is common in the elderly population. Mild WML is subclinical, with no obvious neurological and urinary symptoms. Our cohort did not demonstrate a relationship between WML and lower urinary tract symptoms.

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“…WMH have been associated to an overall decline of superior functions, as well as with an increased risk of stroke, dementia and death (39). A high burden of WMH has been associated with gait disturbance and the risk of falls (40,41), as well as urinary symptoms (42), which contribute to increased overall disability and dependency. WMH have been shown to confer a higher risk of incident stroke (hazard ratio 3.1, 95% confidence interval 2.3-4.1) in a metanalysis comprising more than 12.500 individuals (39).…”

Section: Prognostic Relevance Of Wmhmentioning

confidence: 99%

Association of White Matter Hyperintensities and Cardiovascular Disease

Moroni

Ammirati

Hainsworth

et al. 2020

Circ: Cardiovascular Imaging

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Cardiac and cerebrovascular diseases are currently the leading causes of mortality and disability worldwide. Both the heart and brain display similar vascular anatomy, with large conduit arteries running on the surface of the organ providing tissue perfusion through an intricate network of penetrating small vessels. Both organs rely on fine tuning of local blood flow to match metabolic demand. Blood flow regulation requires adequate functioning of the microcirculation in both organs, with loss of microvascular function, termed small vessel disease (SVD) underlying different potential clinical manifestations. SVD in the heart, known as coronary microvascular dysfunction, can cause chronic or acute myocardial ischemia and may lead to development of heart failure. In the brain, cerebral SVD can cause an acute stroke syndrome known as lacunar stroke or more subtle pathological alterations of the brain parenchyma, which may eventually lead to neurological deficits or cognitive decline in the long term. Coronary microcirculation cannot be visualized in vivo in humans, and functional information can be deduced by measuring the coronary flow reserve. The diagnosis of cerebral SVD is largely based on brain magnetic resonance imaging, with white matter hyperintensities, microbleeds, and brain atrophy reflecting key structural changes. There is evidence that such structural changes reflect underlying cerebral SVD. Here, we review interactions between SVD and cardiovascular risk factors, and we discuss the evidence linking cerebral SVD with large vessel atheroma, atrial fibrillation, heart failure, and heart valve disease.

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The relationship between cerebral white matter hyperintensities and lower urinary tract function in a population based, geriatric cohort

Abstract: This study failed to demonstrate a clear association between several aspects of LUTS and WMH in a rather healthy, population-based 85-year-old cohort.

Cited by 12 publications

References 24 publications

Predicting Fazekas scores from automatic segmentations of white matter signal abnormalities

Predicting Fazekas scores from automatic segmentations of white matter signal abnormalities

Lower Urinary Tract Symptoms in Subjects with Subclinical Cerebral White Matter Lesions

Association of White Matter Hyperintensities and Cardiovascular Disease

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