| Literature DB >> 29946567 |
Francesco Moroni1, Enrico Ammirati1,2, Maria A Rocca3, Massimo Filippi3, Marco Magnoni1, Paolo G Camici1.
Abstract
Diseases affecting the brain contribute to a substantial proportion of morbidity and mortality in the general population. Conditions such as stroke, dementia and cognitive impairment have a prominent impact on global public health. Despite the heterogeneous clinical manifestations of these conditions and their diverse prognostic implications, current evidence supports a role for cardiovascular disease as a common pathophysiological ground. Brain white matter hyperintensities (WMH) are patchy white matter signal hyperintensity on T2-weighted magnetic resonance imaging sequences commonly found in elderly individuals. WMH appear to have a vascular pathogenesis and have been shown to confer an increased risk of stroke and cognitive decline. Indeed, they were proposed as a marker for central nervous system frailty. Cardiovascular diseases seem to play a key role in the etiology of WMH. Carotid atherosclerosis and atrial fibrillation were shown to be associated with higher WMH burden, while adequate blood pressure control has been reported reducing WMH progression. Aim of the present work is to review the available evidence linking WMH to cardiovascular disease, highlighting the complex interplay between cerebral and cardiovascular health.Entities:
Year: 2018 PMID: 29946567 PMCID: PMC6016077 DOI: 10.1016/j.ijcha.2018.04.006
Source DB: PubMed Journal: Int J Cardiol Heart Vasc ISSN: 2352-9067
Fig. 1White matters hyperintensities in a representative subject. Panels A–D show fluid attenuated inversion recovery (FLAIR) sequence scans of the same patient at different levels. White matter hyperintensities are outlined in red.
Summary of the main studies evaluating the association between white matter hyperintensities (WMH) and cardiovascular disease.
| Authors and year | Sample size | Results | Reference |
|---|---|---|---|
| Strassburger et al., 1997 | 27 treated hypertensive subjects, 20 age-matched normotensive subjects | Hypertensive subjects had a more severe involvement of deep white matter with WMH, while periventricular WMH were comparable to normotensive subjects | [ |
| Wiseman et al., 2004 | 103 hypertensive, 51 normotensive subject | Hypertensive subjects have a higher WMH burden throughout the entire brain | [ |
| Debette et al., 2011 | 1352 free living, non-demented subjects | Mid-life exposure to hypertension associates with accelerated rates of WMH progression | [ |
| Jeerakathil et al., 2004 | 1814 free living subjects | Age, smoking and history of cardiovascular disease independently predicted WMH burden | [ |
| Lin et al., 2017 | 4863 hospitalized subjects | Heavy drinking and high LDL cholesterol are associated to high burden of WMH | [ |
| Jimenez-Conde et al., 2010 | 1315 ischemic stroke patients | Hyperlipidemia, i.e. total cholesterol > 220 mg/dL or current statin use daily triglycerides > 150 mg/dL, was associated with less WMH | [ |
| De Bresser et al., 2018 | 60 patients with diabetes type 2, 54 healthy matched controls | No difference in terms of WMH volume between diabetics and controls. Diabetics had more non-punctate lesions and punctate eccentric deep WMH when compared to controls | [ |
| Rundek et al., 2017 | 1166 stroke-free subjects | WMH burden was associated with a larger common carotid diameter and reduced carotid elasticity. | [ |
| Della-Morte et al., 2018 | 1299 subjects | WMH volume was directly correlated with carotid intima-media thickness. | [ |
| Moroni et al., 2016 | 5306 free living subjects | Meta-analysis of observational studies. The presence of carotid artery plaque is associated to an OR of WMH of 1.42 | [ |
| Ataf et al., 2006 | 57 stroke patients undergoing carotid endarterectomy | Plaque features of vulnerability on histology were associated with higher WMH burden in the subtended hemisphere | [ |
| Baradaran et al., 2017 | Systematic review | The Authors conclude that there is insufficient and contradicting evidence linking carotid plaque to ipsilateral hemispherical WMH burden. | [ |
| Ammirati et al., 2017 | 67 asymptomatic subjects with intermediate carotid stenosis | Hypertension, presence of a plaque ulcer and the degree of stenosis were independent predictors of WMH, evaluated quantitatively. | [ |
| Pico et al., 2002 | 640 healthy subjects aged 59–71 years | After 4 years follow up, subjects with baseline detection of carotid artery plaque had an OR of 1.70 for the progression to severe WMH, independently from age, sex and hypertension | [ |
| Kobayashi et al., 2012 | 71 AFib (29 persistent and 42 paroxysmal) vs 71 age matched controls | Patients with Afib had more severe WMH involvement of the deep white matter, no difference was found in periventricular white matter. WMH involvement was evaluated with Fazekas score. | [ |
| Gaita et al., 2013 | 90 paroxysmal Afib, 90 persistent Afib and 90 controls | Afib subjects had an OR of 11.2 for having WMH when compared to controls. Persistent Afib subjects had a higher number of WMH compared to paroxysmal Afib subjects (41.1 vs 33.2). | [ |
| Mayasi et al., 2017 | 234 stroke patients (114 with Afib) | Afib subjects had an OR of 3.6 of having a higher burden of WMH selectively in the subcortical white matter of the anterior circulation. | [ |
| Ntaios et al., 2015 | 1892 stroke patients (670 with Afib) | WMH is only associated with stroke recurrence in non-Afib patients (HR 1.8). | [ |
| Vogels et al., 2007 | 58 HF patients, 48 subjects with cardiovascular disease and no HF, 42 healthy controls | HF subjects have more severe WMH involvement of the brain. LVEF is an independent predictor of structural brain alterations | [ |
| Alosco et al., 2013 | 48 heart failure patients | Cardiac index is inversely associated to WMH burden | [ |
| Alosco et al., 2013 | 69 heart failure patients | Blood flow velocity on transcranial Doppler imaging inversely correlates with WMH burden. A higher WMH burden associates with poorer cognitive performances on MMSE | [ |
| Ueno et al., 2010 | 115 stroke patients: | Patients with PFO and ASA had significantly higher WMH burden than other subjects. | [ |
| Dokumaci et al., 2017 | 10 children aged between 5 and 16 years affected by Eisenmenger syndrome and 10 age matched control | WMH were detectable in the periventricular area of 3 children | [ |
| Bertholdt et al., 2014 | 30 neonates: 22 transposition of the great arteries, 6 univentricular hearts with hypoplastic aortic arches, 2 aortic arch obstructions. | 20% of neonates had WMH. 2 neonates had a progression of WMH after surgery. | [ |
Ongoing studies concerned with the relation between cardiovascular system and cardiovascular pharmacology and white matter hyperintensities. BP = blood pressure; WMH = white matter hyperintensity.
| Institution | Population | Sample size (expected) | Intervention | Endpoint | NCT |
|---|---|---|---|---|---|
| Assistance Publique - Hôpitaux de Paris | Elderly individuals (60–88 years of age) | 820 | 1:1 randomization to intense BP control (SBP < 135 mm Hg) vs standard care | WMH progression after 36 months | |
| Inha University Hospital | Individuals aged 50–85 years | 255 | Randomization to aspirin 100 mg vs cilostazol 200 mg | WMH progression after 24 months | |
| University of Wisconsin, Madison | Healthy individuals aged between 18 and 75 | 90 | – | Observational. Aims at correlating the degree of physical activity with the progression of WMH | |
| Università Vita-Salute San Raffaele | Individuals with carotid artery plaques <70% | 67 | – | Observational. Aims at identifying plaque characteristics associated with WMH progression at 18 months |
Fig. 2Summary of possible causative elements in white matter hyperintensities and possible mechanism of action.