Assessment of aortic propagation velocity (APV) in relation to coronary slow flow phenomenon (CSFP)

Coronary slow flow phenomenon (CSFP) is a marker of microvascular dysfunction and subclinical atherosclerosis, typically diagnosed invasively. Non-invasive indices such as aortic propagation velocity (APV), measured by echocardiography, may provide alternative diagnostic value. This study aimed to assess the association between APV and CSFP, and to evaluate the relationship of APV with traditional aortic stiffness parameters—namely aortic strain (AS) and aortic distensibility (AD). A cross-sectional study was conducted on 51 patients undergoing coronary angiography, classified into CSFP and normal flow groups based on angiographic findings. Demographic, clinical, and echocardiographic data were collected. APV, AS, and AD were measured using color M-mode Doppler echocardiography. Statistical analyses included group comparisons, correlation tests, logistic regression, and ROC curve analysis for APV cut-off determination. CSFP patients exhibited significantly lower APV, AS, AD, systolic aortic diameter, and heart rate, but higher systolic blood pressure compared to controls. APV showed strong positive correlations with AS ( r = 0.766, p < 0.001) and AD ( r = 0.700, p < 0.001), and a negative correlation with systolic blood pressure ( r = − 0.364, p = 0.009). The optimal APV cut-off for detecting CSFP was 64.0 cm/s (sensitivity 96.0%, specificity 92.3%, AUC = 0.993). APV is a promising, non-invasive marker for identifying patients at risk of CSFP and subclinical atherosclerosis. The proposed cut-off of 64.0 cm/s demonstrated high diagnostic accuracy. Larger, multi-ethnic studies are needed to validate these findings.

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Publication Details

Journal
European journal of medical research
Published
2026-07-17
DOI
https://doi.org/10.1186/s40001-026-04763-5
Primary Topic
Cardiovascular Health and Disease Prevention
Type
article
Field-Weighted Citation Impact
0.00

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article

Assessment of aortic propagation velocity (APV) in relation to coronary slow flow phenomenon (CSFP)

Hedieh Alimi, Faeze Keihanian, Mona Kabiri, Bahram Shahri et al.
European journal of medical research
Cardiovascular Health and Disease Prevention
article

Assessment of aortic propagation velocity (APV) in relation to coronary slow flow phenomenon (CSFP)

Hedieh Alimi, Faeze Keihanian, Mona Kabiri, Bahram Shahri, Fereshteh Ghaderi, Mohammad Tayyebi, Arash Gholoobi, Fatemeh Hajizadeh
article en

Abstract

Coronary slow flow phenomenon (CSFP) is a marker of microvascular dysfunction and subclinical atherosclerosis, typically diagnosed invasively. Non-invasive indices such as aortic propagation velocity (APV), measured by echocardiography, may provide alternative diagnostic value. This study aimed to assess the association between APV and CSFP, and to evaluate the relationship of APV with traditional aortic stiffness parameters—namely aortic strain (AS) and aortic distensibility (AD). A cross-sectional study was conducted on 51 patients undergoing coronary angiography, classified into CSFP and normal flow groups based on angiographic findings. Demographic, clinical, and echocardiographic data were collected. APV, AS, and AD were measured using color M-mode Doppler echocardiography. Statistical analyses included group comparisons, correlation tests, logistic regression, and ROC curve analysis for APV cut-off determination. CSFP patients exhibited significantly lower APV, AS, AD, systolic aortic diameter, and heart rate, but higher systolic blood pressure compared to controls. APV showed strong positive correlations with AS ( r = 0.766, p < 0.001) and AD ( r = 0.700, p < 0.001), and a negative correlation with systolic blood pressure ( r = − 0.364, p = 0.009). The optimal APV cut-off for detecting CSFP was 64.0 cm/s (sensitivity 96.0%, specificity 92.3%, AUC = 0.993). APV is a promising, non-invasive marker for identifying patients at risk of CSFP and subclinical atherosclerosis. The proposed cut-off of 64.0 cm/s demonstrated high diagnostic accuracy. Larger, multi-ethnic studies are needed to validate these findings.

European journal of medical research
Mashhad University of Medical Sciences (IR)
Mashhad University of Medical Sciences
Good health and well-being
Openalex Percentile: Top 8%
Cardiovascular Health and Disease Prevention
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