Litcius/Paper detail

White matter changes, duration of hypertension, and age are associated with cerebral microbleeds in patients with different stages of hypertension

Changhu Liang, Jing Wang, Mengmeng Feng, Nan Zhang, Lingfei Guo

2021Quantitative Imaging in Medicine and Surgery19 citationsDOIOpen Access PDF

Abstract

BACKGROUND: We aimed to investigate risk factors for the presence and number of cerebral microbleeds (CMBs) in patients with different stages of hypertension stages, with an emphasis on the relationship between white matter changes (WMCs) and CMBs. METHODS: test were used to compare the clinical characteristics between the CMB and no-CMB patient groups. Furthermore, we used Spearman's rank correlation analysis to examine the associations between the degree of CMB severity and other important factors. RESULTS: CMBs were detected in 110 (36.7%) of 300 participants. Among patients with stage 2 hypertension, the majority also had CMBs (61.8%, 68/110). CMBs were positively correlated with age, hypertension stage, duration of hypertension, WMCs, and silent cerebral infarction. Patients with grade 3 WMCs were significantly more likely to have CMBs than those without WMCs; this association was true for both patients with stage 1 and those with stage 2 hypertension. In patients with stage 1 or stage 2 hypertension lasting longer than 20 years, the majority had CMBs (69.0%, 29/42; 69.1%, 47/68). The results of binary logistic regression indicated that a more severe hypertension stage, longer duration of hypertension, aging, having silent cerebral infarction and higher values of WMC increase the likelihood of the occurrence of CMBs. CONCLUSIONS: CMBs detected in hypertensive patients were more likely to occur in deep structures, and the grade of WMCs and duration of hypertension were more closely associated with the CMB degree than with age.

Topics & Concepts

MedicineInternal medicineStage (stratigraphy)Logistic regressionCardiologyMann–Whitney U testRank correlationLeukoaraiosisWhite matterStroke (engine)Magnetic resonance imagingDiseaseRadiologyPaleontologyEngineeringComputer scienceMachine learningMechanical engineeringBiologyDementiaIntracerebral and Subarachnoid Hemorrhage ResearchCerebrospinal fluid and hydrocephalusDementia and Cognitive Impairment Research