Ankle Brachial Index in Relation to Pretest Probability Stratification of Coronary Artery Disease

Background: Globally, coronary artery disease (CAD) continues to be a major cause of morbidity and death. A straightforward, non-invasive diagnostic method mostly used to identify peripheral artery disease (PAD), the ankle-brachial index (ABI) has drawn interest as a possible indicator of systemic atherosclerosis. Aim: The goal of this study was to evaluate the prognostic usefulness of ABI for CAD severity was. Methods: This cross-sectional study was carried out over a six‐month period on a total of 180 patients suspected of having CAD at Cardiology Department - Zagazig University Hospitals. The patients were divided into 3 sub-groups according to pre-test probability into low, intermediate and high. Results: The three pre-test probability groups did not differ statistically significantly in terms of left atrial enlargement (LAE), left ventricular ejection fraction (LVEF <50%), or left ventricular end-diastolic dimension (LVEDD). The SYNTAX score and ABI were shown to be significantly correlated negatively (r = -value, P < 0.001). With a P value <0.001 and an AUC of 0.863, the study of the Receiver Operating Characteristic (ROC) curve showed that ABI strongly predicted the severity of CAD. The optimal cut-off value was ≤0.89, yielding 75.76% sensitivity, 85.19% specificity, a positive predictive value (PPV) of 86.2%, and a negative predictive value (NPV) of 74.2%. Conclusion: The Ankle-Brachial Index can help with risk stratification and is a useful, easy, and non-invasive indicator of the severity of coronary artery disease especially in high-risk patients

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Publication Details

Journal
Zagazig University Medical Journal
Published
2025-08-18
DOI
https://doi.org/10.21608/zumj.2025.400543.4036
Primary Topic
Cardiovascular Disease and Adiposity
Type
article
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article

Ankle Brachial Index in Relation to Pretest Probability Stratification of Coronary Artery Disease

Laila Mohamad Elmaghawry, Mohamed Saad El-Shetry, Hala Gouda Abomandour, Fedaa Nasr Abo Zaid
Zagazig University Medical Journal
Cardiovascular Disease and Adiposity
article

Ankle Brachial Index in Relation to Pretest Probability Stratification of Coronary Artery Disease

Laila Mohamad Elmaghawry, Mohamed Saad El-Shetry, Hala Gouda Abomandour, Fedaa Nasr Abo Zaid
article en

Abstract

Background: Globally, coronary artery disease (CAD) continues to be a major cause of morbidity and death. A straightforward, non-invasive diagnostic method mostly used to identify peripheral artery disease (PAD), the ankle-brachial index (ABI) has drawn interest as a possible indicator of systemic atherosclerosis. Aim: The goal of this study was to evaluate the prognostic usefulness of ABI for CAD severity was. Methods: This cross-sectional study was carried out over a six‐month period on a total of 180 patients suspected of having CAD at Cardiology Department - Zagazig University Hospitals. The patients were divided into 3 sub-groups according to pre-test probability into low, intermediate and high. Results: The three pre-test probability groups did not differ statistically significantly in terms of left atrial enlargement (LAE), left ventricular ejection fraction (LVEF <50%), or left ventricular end-diastolic dimension (LVEDD). The SYNTAX score and ABI were shown to be significantly correlated negatively (r = -value, P < 0.001). With a P value <0.001 and an AUC of 0.863, the study of the Receiver Operating Characteristic (ROC) curve showed that ABI strongly predicted the severity of CAD. The optimal cut-off value was ≤0.89, yielding 75.76% sensitivity, 85.19% specificity, a positive predictive value (PPV) of 86.2%, and a negative predictive value (NPV) of 74.2%. Conclusion: The Ankle-Brachial Index can help with risk stratification and is a useful, easy, and non-invasive indicator of the severity of coronary artery disease especially in high-risk patients

Zagazig University Medical JournalVol. 0(0)
Zagazig University (EG)
Openalex Percentile: Top 65%
Cardiovascular Disease and Adiposity
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