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Effect of carotid image-based phenotypes on cardiovascular risk calculator: AECRS1.0

by Carcassi, Carlo , Saba, Luca , Suri, Jasjit S , Gupta, Deep , Suri, Harman S , Nicolaides, Andrew , Mavrogeni, Sophie , Gupta, Ajay , Sfikakis, Petros , Araki, Tadashi , Protogerou, Athanasios , Laird, John R , Khanna, Narendra N , Jamthikar, Ankush D , Piga, Matteo , Kitas, George D

in Arteries / Arteriosclerosis / Atherosclerosis / Calculators / Cardiovascular diseases / Carotid arteries / Carotid artery / Computation / Diabetes / Diabetes mellitus / Health risk assessment / Mathematical analysis / Patients / Phenotypes / Risk analysis / Risk factors / Ultrasonic imaging / Ultrasound

2019

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Effect of carotid image-based phenotypes on cardiovascular risk calculator: AECRS1.0

2019

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Effect of carotid image-based phenotypes on cardiovascular risk calculator: AECRS1.0

2019

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Journal Article

Effect of carotid image-based phenotypes on cardiovascular risk calculator: AECRS1.0

Carcassi, Carlo,

Saba, Luca,

Suri, Jasjit S,

Gupta, Deep,

Suri, Harman S,

Nicolaides, Andrew,

Mavrogeni, Sophie,

Gupta, Ajay,

Sfikakis, Petros,

Araki, Tadashi,

Protogerou, Athanasios,

Laird, John R,

Khanna, Narendra N,

Jamthikar, Ankush D,

Piga, Matteo,

Kitas, George D

2019

Overview

Today, the 10-year cardiovascular risk largely relies on conventional cardiovascular risk factors (CCVRFs) and suffers from the effect of atherosclerotic wall changes. In this study, we present a novel risk calculator AtheroEdge Composite Risk Score (AECRS1.0), designed by fusing CCVRF with ultrasound image-based phenotypes. Ten-year risk was computed using the Framingham Risk Score (FRS), United Kingdom Prospective Diabetes Study 56 (UKPDS56), UKPDS60, Reynolds Risk Score (RRS), and pooled composite risk (PCR) score. AECRS1.0 was computed by measuring the 10-year five carotid phenotypes such as IMT (ave., max., min.), IMT variability, and total plaque area (TPA) by fusing eight CCVRFs and then compositing them. AECRS1.0 was then benchmarked against the five conventional cardiovascular risk calculators by computing the receiver operating characteristics (ROC) and area under curve (AUC) values with a 95% CI. Two hundred four IRB-approved Japanese patients’ left/right common carotid arteries (407 ultrasound scans) were collected with a mean age of 69 ± 11 years. The calculators gave the following AUC: FRS, 0.615; UKPDS56, 0.576; UKPDS60, 0.580; RRS, 0.590; PCRS, 0.613; and AECRS1.0, 0.990. When fusing CCVRF, TPA reported the highest AUC of 0.81. The patients were risk-stratified into low, moderate, and high risk using the standardized thresholds. The AECRS1.0 demonstrated the best performance on a Japanese diabetes cohort when compared with five conventional calculators.

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Publisher

Springer Nature B.V

Subject

/ Cardiovascular diseases

/ Carotid arteries

/ Carotid artery