ArticleBrain sciences2023
Analysis of Risk Factors for White Matter Hyperintensity in Older Adults without Stroke.
Article in Brain sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06836141 (Silent Brain Infarcts in Spontaneous Intracerebral Hemorrhage as a Prognostic Biomarker for Vascular Contributions to Cognitive Impairment and Dementia), which is not on this map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Silent Brain Infarcts in Spontaneous Intracerebral Hemorrhage as a Prognostic Biomarker for Vascular Contributions to Cognitive Impairment and Dementia (VCID)
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Relationship between carotid intima-media thickness and white matter hyperintensities in non-stroke adults: a systematic review.Frontiers in neuroanatomy · 2024Pooled it
- Increased VWF-to-ADAMTS13 ratio is associated with large cerebral white matter hyperintensities.Blood vessels, thrombosis & hemostasis · 2026Article
- The relationship between white matter hyperintensity and gait in patients with cerebral small vessel disease.Frontiers in neurology · 2026Article
- Altered dynamic functional connectivity associated with cognition in diverse severity of white matter hyperintensity.BMC medical imaging · 2025Article
- Impact of white matter hyperintensities on α4β2 nicotinic acetylcholine receptor binding in the human brain.European journal of nuclear medicine and molecular imaging · 2025Article
- Distinct spatiotemporal patterns of white matter hyperintensity progression.Nature communications · 2025Article
- Predicting White Matter Hyperintensity: Leveraging Portable MRI for Accessible Brain Health Screening.AJNR. American journal of neuroradiology · 2025Article
- The burden of intracranial atherosclerosis on cerebral small vessel disease: A community cohort study.Annals of clinical and translational neurology · 2025Article
- Modulatory Effects of Hypertension on Aging-Related White Matter Hyperintensities: A Comparative Study Among Stroke Patients and Stroke-Free Community-Based Cohort.Journal of clinical hypertension (Greenwich, Conn.) · 2025Article
- Exploration of heterogeneity in risk factors associated with imaging subtypes of white matter hyperintensities on fluid-attenuated inversion recovery magnetic resonance imaging.Frontiers in neurology · 2025Article
- Enlarged perivascular spaces in the basal ganglia mediate the negative impact of HbA1c levels on mild cognitive impairment.Frontiers in human neuroscience · 2025Article
- Development and validation of a predictive model for white matter lesions in young- and middle-aged people.Frontiers in neurology · 2023Article
- Assessment of microstructural changes in white matter hyperintensities in aging and mild cognitive impairment revealed by advanced diffusion MRI.Journal of Alzheimer's disease reportsArticle
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWhite matter hyperintensity (WMH) is prevalent in older adults aged 60 and above. A large proportion of people with WMH have not experienced stroke and little has been reported in the literature.
methodsThe case data of patients aged ≥60 years without stroke in Wuhan Tongji Hospital from January 2015 to December 2019 were retrospectively analyzed. It was a cross-sectional study. Univariate analysis and logistic regression were used to analyze independent risk factors for WMH. The severity of WMH was assessed using the Fazekas scores. The participants with WMH were divided into periventricular white matter hyperintensity (PWMH) group and deep white matter hyperintensity (DWMH) group, then the risk factors of WMH severity were explored separately.
resultsEventually, 655 patients were included; among the patients, 574 (87.6%) were diagnosed with WMH. Binary logistic regression showed that age and hypertension were associated with the prevalence of WMH. Ordinal logistic regression showed that age, homocysteine, and proteinuria were associated with the severity of WMH. Age and proteinuria were associated with the severity of PWMH. Age and proteinuria were associated with the severity of DWMH.
conclusionsThe present study showed that in patients aged ≥60 years without stroke, age and hypertension were independent risk factors for the prevalence of WMH; while the increasing of age, homocysteine, and proteinuria were associated with greater WMH burden.
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