» Articles » PMID: 19462313

Is Blood Flow in the Middle Cerebral Artery Determined by Systemic Arterial Stiffness?

Overview
Journal Blood Press
Date 2009 May 23
PMID 19462313
Citations 19
Authors
Affiliations
Soon will be listed here.
Abstract

Background And Purpose: The relationship between systemic arterial stiffness and parameters of cerebral circulation is poorly understood. We aimed to assess the relation between pulsatility (PI) and resistance (RI) indexes of the middle cerebral artery (MCA) and aortic pulse wave velocity (PWV) and brachial pulse pressure (PP).

Methods: Bilateral transcranial Doppler ultrasound (TCD) examination of the MCAs was performed using the GE Vivid 3 Ultrasound, equipped with a 2.5-MHz probe and PI and RI were calculated. Aortic PWV was obtained with the Complior device (Colson France). Conventional blood pressures were measured at the time of TCD. Data regarding risk-profile constituents, habits and medication use were recorded. Subjects with occlusion or significant stenosis of carotid arteries or MCA, previous or acute stroke, temporary ischaemic attack, bilaterally absent transtemporal sonographic windows, dysrhythmia, haematocrit value <30% or >48% were excluded.

Results: Of the 165 included subjects (mean age, 56.70+/-11.80 years, range 22-86 years), 50.3% were men, 20.9% smokers, 20.7% diabetic and 63.4% hypertensive. PWV correlated to both PI (r=0.45, p<0.001) and RI (r=0.36, p<0.001) of MCA. A similar relation was found for PP and PI (r=0.32, p<0.001) or RI (r=0.30, p<0.001). Age, diabetes and hypertension, but not chronic tobacco smoking, interfered with MCA flow parameters. In multivariate adjusted regression analysis, PP was related to both PI and RI of MCA (p<0.001). In similar models, increased PWV was related to PI (p=0.007), but not RI (p=0.08) of MCA.

Conclusions: Increased PI and RI of MCA are closely related to measures of increased aortic stiffness.

Citing Articles

The Relation between Vascular Risk Factors and Flow in Cerebral Perforating Arteries: A 7 Tesla MRI Study.

Onkenhout L, Arts T, Ferro D, Kuipers S, Oudeman E, van Harten T Cerebrovasc Dis. 2024; 54(1):121-128.

PMID: 38342090 PMC: 11793086. DOI: 10.1159/000537709.


Impact of arterial stiffness on cerebrovascular function: a review of evidence from humans and preclincal models.

Reeve E, Barnes J, Moir M, Walker A Am J Physiol Heart Circ Physiol. 2024; 326(3):H689-H704.

PMID: 38214904 PMC: 11221809. DOI: 10.1152/ajpheart.00592.2023.


Cerebral Small Vessel Disease: a Review of the Pathophysiological Mechanisms.

Hannawi Y Transl Stroke Res. 2023; 15(6):1050-1069.

PMID: 37864643 DOI: 10.1007/s12975-023-01195-9.


Development and Validation of Machine Learning Models to Classify Artery Stenosis for Automated Generating Ultrasound Report.

Yeh C, Lee H, Islam M, Chien C, Atique S, Chan L Diagnostics (Basel). 2022; 12(12).

PMID: 36553056 PMC: 9776545. DOI: 10.3390/diagnostics12123047.


Association of Vascular Properties With the Brain White Matter Hyperintensity in Middle-Aged Population.

Hannawi Y, Vaidya D, Yanek L, Johansen M, Kral B, Becker L J Am Heart Assoc. 2022; 11(11):e024606.

PMID: 35621212 PMC: 9238713. DOI: 10.1161/JAHA.121.024606.