Related Experiment Video
Updated: Jun 2, 2026

Ultrasound Assessment of Endothelial-Dependent Flow-Mediated Vasodilation of the Brachial Artery in Clinical Research
Published on: October 22, 2014
Risk factors for cerebrovascular events: end-diastolic flow velocity
Mirza Dilic1, Mustafa Hadziomerovic, Emir Fazlibegovic
1Institute of Vascular Diseases, Clinical Center University of Sarajevo. mdilic@bih.net.ba
Insights
Lower end-diastolic velocity (EDV) in common carotid arteries (CCA) is a significant predictor of cerebrovascular events (CVE). Age, smoking, hypertension, and obesity are also key risk factors for CVE.
Area of Science:
- Vascular Neurology
- Medical Imaging
- Cardiology
Background:
- Limited research exists on common carotid artery (CCA) blood flow velocity parameters as predictors for cerebrovascular events (CVE).
- Many patients without carotid stenosis exhibit reduced blood flow velocities, necessitating further investigation.
Purpose of the Study:
- To compare velocity parameters with cerebrovascular events (CVE) and risk factors in patients lacking significant carotid stenosis or occlusion.
- To identify predictors of CVE in a patient cohort without extracranial occlusive disease.
Main Methods:
- A cohort of 127 patients with various CVE subtypes (TIA, recurrent TIA, ischemic stroke, recurrent ischemic stroke) and 50 controls were analyzed.
- Patients were assessed for clinical variables (age, gender, hypertension, smoking, hyperlipidemia, obesity, diabetes) and hemodynamic parameters (PSV, EDV, PI, RI) of the CCA.
- Control group comprised patients with comparable demographics and at least one cardiovascular risk factor, free from CVE.
Main Results:
- End-diastolic velocity (EDV) was significantly lower in patients with CVE compared to controls (p < 0.01).
- Age, tobacco smoking, hypertension, and obesity were identified as the strongest predictors for CVE.
- An EDV below 18 cm/sec emerged as the best single hemodynamic predictor for CVE (p < 0.05).
Conclusions:
- Significantly lower EDV was observed in patients experiencing ischemic stroke (IS) and recurrent ischemic stroke (recIS).
- EDV below 18 cm/sec proved to be the most effective single predictor for IS and recIS.
- Clinical factors including age, tobacco smoking, hypertension, and obesity were the primary predictors for cerebrovascular events in this cohort.
Introduction:
There are very few studies analysing blood flow velocity parameters of common carotid arteries (CCA), obtained with color Doppler examination as a predictor in cerebrovascular events (CVE). In everyday clinical practice there are number of patients (pts) without carotid stenosis or occlusion but with decreased blood flow velocities.
Aim:
We performed this study to compare data of velocity parameters with type of cerebrovascular events (CVE) and multiple risk factors in patients without stenotic or occlusive extracranial disease.
Methods:
We included total of 127 consecutive patients who experienced various subtypes of cerebrovascular events, 68 females, 59 males, mean age 70.2 +/- SD 12.4 years, out of them 48 pts. had transients ischemic attacs (TIAs), 31 pts. had recurrent TIAs (recTIAs), 32 pts. developed ischemic stroke (IS), and 16 recurrent IS (recIS). All patients were without hemodynamically significant carotid stenosis or occlusion. As a control group we took 50 patients with comparable mean age and gender distribution, all without cerebrovascular events, but with at least 1 multiple risk factor. We included the following clinical variables: age, gender, hypertension, tobacco smoking, hyperlipidemia, obesity, diabetes mellitus. Velocity parameters were: peak-systolic velocity (PSV), end-diastolic velocity (EDV), pulsatility index (PI), resistive index (RI). Examination was performed on distal portion of CCA, and we took the mean of both CCA.
Results:
Hemodynamic parameters in CVE pts were: PSV 83.5 cm/sec, EDV 19.5 cm/sec, PI 1.54, and RI 0.77, and in Controls values were: PSV 87.5 cm/sec, EDV 28.5 cm/sec, PI 1.42, RI 0.67, respectively. No sign. diff. in PSV and PI were found between CVE (n=127) and Controls (n=50), p = 0.2, while difference in EDV was significant, p < 0.01. We found significance for the following variables: age, tobacco smoking, hypertension, hyperlipidemia and obesity. The best single predictors for CVE were: age (70.1%, p < 0.01), tobacco smoking (63%, p < 0.01, hypertension (52.8%, p < 0.01) and obesity (51.2%, p < 0.01). and among hemodynamic parameters, end-diastolic velocity less than 18 cm/sec (p < 0.05). Decreased EDV (below 18 cm/sec) revealed a significant association with CVE.
Conclusions:
(a) we found significantly lower EDV in pts with IS and recIS, (b) EDV below 18 cm/sec was the best single predictor of IS, and recIS, (c) in our CVE pts--age, tobacco smoking, hypertension, obesity, were the best single predictors for CVE.
Related Concept Videos
Regulation of Stroke Volume
Preload refers to the degree of stretch on the heart before it contracts. It's analogous to the stretching of a rubber band; the more it's stretched, the more forcefully it snaps back. This concept is encapsulated in the Frank-Starling law of the...
Peripheral Arterial Disease II: Clinical Manifestations and Diagnostic Evaluation
