Evidence map›Paper›PMID 42755845›Full record

ArticleFrontiers in neurology2026

Cerebral microbleeds on susceptibility-weighted imaging, cognitive domains, and serum neurofilament light chain in adults with hypertension.

Ziyin Li, Xiaobin Zhao, Dandan Zhou, Cui Zhao

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Article in Frontiers in neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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4 authors.

Ziyin LiDepartment of General Practice, The Affiliated Hospital of Chengde Medical College, Chengde, Hebei, China.
Xiaobin ZhaoDepartment of Radiology, The Affiliated Hospital of Chengde Medical College, Chengde, Hebei, China.
Dandan ZhouDepartment of General Practice, The Affiliated Hospital of Chengde Medical College, Chengde, Hebei, China.
Cui ZhaoDepartment of General Practice, The Affiliated Hospital of Chengde Medical College, Chengde, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hypertension is associated with cognitive impairment, and cerebral microbleeds (CMBs) may reflect hemorrhagic small-vessel injury. We examined whether CMB burden and location were associated with global and domain-specific cognition in adults with primary hypertension and whether serum neurofilament light chain (sNFL) provided additional discrimination for identifying mild cognitive impairment (MCI) beyond CMB count. Methods: In this single-center cross-sectional study, 173 hospitalized adults aged 31-95 years with a pre-existing diagnosis of primary hypertension underwent brain magnetic resonance imaging (MRI) with susceptibility-weighted imaging, the Montreal Cognitive Assessment (MoCA), and sNFL measurement by enzyme-linked immunosorbent assay (ELISA). Six MoCA-derived cognitive domain z-scores were calculated. CMB burden was categorized as 0, 1-4, or ≥5 lesions. Multivariable logistic and linear regression models were adjusted for age, sex, education, systolic blood pressure, diabetes, and prior stroke. Sensitivity analyses additionally adjusted for other cerebral small vessel disease markers, modeled the CMB count as a continuous variable, and excluded participants with prior stroke. Results: CMBs were detected in 82 patients (47.4%) and MCI in 83 patients (48.0%). Greater CMB burden was independently associated with MCI (adjusted odds ratio (OR): 4.53, 95% CI 1.95-10.55). After covariate adjustment and false-discovery-rate correction, greater CMB burden was associated with lower executive function, orientation, attention, and visuospatial function scores, but not with memory or language. Cognitive domain scores did not differ according to CMB location. CMB count and sNFL were inversely correlated with cognitive performance. The areas under the curve for identifying MCI were 0.683 for CMB count, 0.794 for sNFL, and 0.792 for the combined model. The combined model had a larger area under the curve than CMB count alone ( Conclusion: In adults with primary hypertension, greater CMB burden was associated with MCI and selected cognitive domains, whereas cognitive performance did not differ according to CMB location. sNFL had a numerically higher area under the curve than CMB count, and adding CMB count did not improve discrimination beyond sNFL. These findings may help characterize cognitive vulnerability in hypertension; therefore, prospective validation is required before clinical application.

Indexed as

Cerebral HemorrhageCognitive DysfunctionHypertensionNeurofilament ProteinsAdultAgedAged, 80 and overBiomarkersCross-Sectional StudiesFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedBiomarkersneurofilament protein LNeurofilament Proteinscerebral microbleedscognitive domainshypertensionmild cognitive impairmentneurofilament light chainsusceptibility-weighted imaging

Identifiers

PMID42755845
PMCPMC13581932

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.