Background And Objectives: Cerebral small vessel disease (cSVD) causes lacunar and hemorrhagic stroke and is an important contributor to vascular cognitive impairment. Other potential physical and psychological consequences of cSVD have been described across various body systems. Descriptions of cSVD are available in journals specific to those individual body systems, but a comprehensive assessment of clinical manifestations across this disparate literature is lacking. We conducted an overview of systematic reviews describing clinical cSVD phenotypes.
Methods: We searched multidisciplinary databases from inception to December 2023. We included reviews describing concurrent clinical phenotypes in individuals with neuroimaging evidence of cSVD, defined using the STandards for ReportIng Vascular changes on nEuroimaging criteria. We broadly classified phenotypes into cognitive, mood and neuropsychiatric, respiratory, cardiovascular, renal-urinary, peripheral nervous system, locomotor, and gastrointestinal. We included both studies assessing multiple cSVD features and studies examining individual cSVD markers. We extracted risk factor-adjusted effect estimates, where possible, and assessed methodologic quality using the Assessment of Multiple Systematic Reviews-2 tool.
Results: After screening 6,156 publications, we included 24 systematic reviews reporting on 685 original studies and 1,135,943 participants. Cognitive and neuropsychiatric phenotypes were examined most often, particularly in relation to white matter hyperintensities (range of risk ratios [RRs] for cognitive phenotypes 1.21-1.49, range of 95% CI 1.01-1.84; for neuropsychiatric, RR 1.02-5.71, 95% CI 0.96-19.69). Two reviews focused solely on perivascular spaces. No reviews assessed lacunes or small subcortical infarcts separately from other cSVD features. Reviews on peripheral nervous system, urinary, or gastrointestinal phenotypes were lacking. Fourteen reviews had high methodologic quality, 5 had moderate quality, and 5 had low quality. Heterogeneity in cSVD definitions and phenotypic assessments was substantial.
Discussion: Neuroimaging markers of cSVD are associated with various clinical manifestations, suggesting a multisystem phenotype. However, features classically associated with cSVD, for example, gait, had limited supporting evidence, and for many body systems, there were no available reviews. Similarly, while white matter hyperintensities were relatively well studied, there were limited data on phenotypes associated with other cSVD features. Future studies should characterize the full clinical spectrum of cSVD and explore clinical associations beyond neurocognitive and neuropsychiatric presentations.
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http://dx.doi.org/10.1212/WNL.0000000000209267 | DOI Listing |
J Med Biochem
September 2024
Gansu Medical College, Affiliated Hospital, Department of Neurology, Pingliang, China.
Background: Investigate the correlation between low-density lipoprotein (LDL) cholesterol, homocysteine and cognitive function in patients with cerebral small vessel disease (CSVD).
Methods: 240 patients with CSVD confirmed by head MRI in the Department of Neurology from January 2020 to December 2023 were retrospectively included in the study. All the patients had complete blood biochemical examination, and their cognitive function was evaluated by Montreal Cognitive Assessment Scale (MoCA), and after correcting for the factor of years of education, the patients were divided into a group of normal cognition (MoCA 26, 70 patients) and a group of cognitive function (MoCA 26, 70 patients) according to the scores.
Neurotherapeutics
December 2024
Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States; Neurocritical Care Division, Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, MD, United States; Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States; Department of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States. Electronic address:
Brain ischemia is a major cause of neurological dysfunction and mortality worldwide. It occurs not only acutely, such as in acute ischemic stroke (AIS), but also in chronic conditions like cerebral small vessel disease (cSVD). Any other conditions resulting in brain hypoperfusion can also lead to ischemia.
View Article and Find Full Text PDFGeroscience
December 2024
Department of Kinesiology, The Pennsylvania State University, University Park, USA.
Metabolic syndrome (MetS) has been linked to accelerated cognitive decline and Alzheimer's disease and related dementias (ADRDs) via cerebral small vessel disease (CSVD); however, this relation in MetS without overt cardiometabolic disease comorbidities is unknown and may represent a population amenable to preventative strategies. Our study aimed to determine risk profiles for neurocognitive decline and ADRDs in early-stage MetS with evidence of CSVD using the TriNetX electronic health records (EHR) research network. Patients aged 50 to 80 years old meeting MetS criteria were identified utilizing TriNetX data from 76 healthcare organizations.
View Article and Find Full Text PDFFront Aging Neurosci
December 2024
Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, China.
Background: Cerebral white matter hyperintensity (WMH) is a pivotal imaging feature of cerebral small vessel disease (CSVD), closely correlated with an elevated risk of ischemic stroke (IS). Trimethylamine N-oxide (TMAO), a metabolite of gut microbiota, is increasingly associated with IS and atherosclerosis. However, the intricate relationship between TMAO and WMH remains ambiguous.
View Article and Find Full Text PDFCNS Neurosci Ther
December 2024
Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Introduction: Cerebral small vessel disease (CSVD) is highly prevalent in elder individuals, and its variable cognitive outcomes indicate some cognitive reserve mechanisms. Contribution from functional network features is still unclear. Here we explore how functional segregation-integration preference influences the cognitive changes against CSVD.
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