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Correlation between Morphological and Hemodynamic Parameters of Carotid Arteries and Cerebral Vasomotor Reactivity

Authors :
Stefan Stoisavljevic
Milica Stojanovic
Mirjana Zdraljevic
Vuk Aleksic
Tatjana Pekmezovic
Milija Mijajlovic
Source :
Brain Sciences, Vol 14, Iss 2, p 167 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

The function of cerebral small vessels can be assessed using cerebral vasomotor reactivity (VMR). Our aim in this retrospective cross-sectional study was to investigate a correlation between carotid artery stenosis measured through ultrasonographic morphological and hemodynamic parameters and cerebral VMR. A total of 285 patients (125 males; mean age 54) were included. The breath-holding index (BHI) was used to evaluate cerebral VMR. Ultrasonographic carotid artery parameters were collected: the presence and characteristics of carotid plaques, the degree of carotid diameter stenosis, intima–media thickness (IMT), peak systolic velocity (PSV), and end diastolic velocity (EDV). Additionally, hemodynamic parameters of the middle cerebral artery (MCA) were evaluated, including the mean flow velocity (MFV) and pulsatility index (PI). The following was collected from patients’ medical histories: age, gender, and vascular risk factors. A negative correlation between the BHI and age (r = −0.242, p < 0.01), BHI and the presence of carotid plaques, BHI and IMT (r = −0.203, p < 0.01), and BHI and the PI of MCA on both sides (r = −0.268, p < 0.01) was found. We found a positive correlation between the BHI in the left MCA and EDV in the left internal carotid artery (r = 0.121, p < 0.05). This study shows the correlation between cerebral VMR and carotid stenosis but indicates a higher influence of morphological parameters on VMR values.

Details

Language :
English
ISSN :
20763425
Volume :
14
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Brain Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.69e65c3f950d429ab842e5d0cf51f946
Document Type :
article
Full Text :
https://doi.org/10.3390/brainsci14020167