Predicting obstructive coronary artery disease using carotid ultrasound parameters: A nomogram from a large real‐world clinical data

Wu, Na; Chen, Xinghua; Li, Mingyang; Qu, Xiaolong; Li, Yueli; Xie, Wenting; Wu, Long; Xiang, Ying; Li, Yafei; Zhong, Li

doi:10.1111/eci.12956

Cited by 13 publications

(7 citation statements)

References 30 publications

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“…In the present study, we found a higher carotid plaque count and more carotid stenotic branches, more severe Computational and Mathematical Methods in Medicine stenosis, and higher carotid AS in the CHD group. Numerous studies have recently shown a significant association between peripheral arterial plaque and CHD [18][19][20]. Polak et al [21] showed that in multivariate corrected analysis, all plaque parameters were significantly associated with CHD incidence, with hazard ratios ranging from 1.27 to 1.80, with the strongest association for IMT >1.5 mm.…”

Section: Discussionmentioning

confidence: 99%

Application of Model-Building Based on Arterial Ultrasound Imaging Evaluation to Predict CHD Risk

Chen

Chu

Hou

et al. 2022

Computational and Mathematical Methods in Medicine

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Objective. Atherosclerotic is a chronic systemic disease that may occur in multiple vascular beds, including the carotid arteries, renal arteries, lower limb arteries, and cerebral vessels. Coronary atherosclerosis shares similar risk factors, pathogenesis, and pathophysiological basis with the atherosclerotic lesions of arteries at these sites. Arterial ultrasound assessment data were used to explore the correlation of atherosclerotic disease with CHD lesions and their severity and the number of lesion branches, as well as to evaluate its value in predicting CHD risk, in combination with traditional risk factors. Methods. A total of 363 inpatients with suspected CHD in the Department of Cardiology of the First Hospital of Harbin Medical University from November 2017 to June 2021 were selected. Patient clinical data, blood biochemical examination results, and ultrasound examination of neck vessels, abdominal arteries, and limb arteries were collected to obtain atherosclerosis assessment data. We then compared the differences between the CHD group and the control group, analyzed their correlation with CHD lesions and severity and the number of lesion branches, and evaluated the correlation with the coronary Gensini score. After adjustment for traditional risk factors, logistic regression was applied to analyze the relationship between arterial ultrasound assessment data and the risk of CHD. In addition, ROC plots were drawn to evaluate the risk of arterial ultrasound assessment data, combined with traditional risk factors, to predict CHD. Results. With regard to abnormal blood biochemical index values, differences in lipids, HDL-C, FIB, CK-MB, hs-cTnI, BNP, and GGT were found between the CHD group and the control group. Carotid plaque count, abdominal aortic flow velocity, inferior mesenteric artery flow velocity, classification of the number of stenotic branches of abdominal aortic branch arteries, lower-extremity-artery plaque count, degree of lower-extremity-artery stenosis, and lower-extremity-artery AS were risk factors for arterial ultrasound assessment data of CHD. Carotid plaque count, carotid artery AS, inferior mesenteric artery flow velocity, abdominal aortic flow velocity, abdominal aortic plaque count, abdominal aortic branch artery stenosis branch classification, lower-extremity-artery plaque count, lower-extremity-artery stenosis branch classification, degree of lower-extremity-artery stenosis, and lower-extremity-artery AS, combined with traditional risk factors, were mostly more effective than traditional risk factor models in predicting CHD, its severity, and the number of branch lesions; moreover, the predictive value was higher. Specifically, carotid plaque count, carotid AS, lower-extremity-artery AS, the degree of stenosis of lower-extremity arteries, and abdominal aortic branch artery stenosis branch classification can be used as predictor variables for CHD risk. Among these variables, the carotid plaque count can be used as an independent predictor of CHD. Conclusion. The incidence of arterial intima–media thickening (IMT), plaques, and stenosis can provide a reference for understanding the pattern of systemic atherogenesis and the distribution of atherosclerosis.

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Section: Discussionmentioning

confidence: 99%

Application of Model-Building Based on Arterial Ultrasound Imaging Evaluation to Predict CHD Risk

Chen

Chu

Hou

et al. 2022

Computational and Mathematical Methods in Medicine

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“…Nomograms have been shown to be more accurate than conventional systems for predicting outcomes in cardiovascular diseases ( Wu et al, 2018 ). To explore the potential of MIF gene variation, we established a nomogram composed of MIF rs2070766 genotypes, diabetes, WBC, TC and HDL-C to predict the risk of ACS.…”

Section: Discussionmentioning

confidence: 99%

Genetic Variation of Migration Inhibitory Factor Gene rs2070766 Is Associated With Acute Coronary Syndromes in Chinese Population

et al. 2022

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Genetic variation of macrophage migration inhibitory factor (MIF) gene has been linked to coronary artery disease. We investigated an association between the polymorphism of MIF gene rs2070766 and acute coronary syndromes (ACS) and the predictive value of MIF gene variation in clinical outcomes. This study involved in 963 ACS patients and 932 control subjects from a Chinese population. All participants were genotyped for the single nucleotide polymorphism (SNP) of MIF gene rs2070766 using SNPscan™. A nomogram model using MIF genetic variation and clinical variables was established to predict risk of ACS. Major adverse cardiovascular events (MACE) were monitored during a follow-up period. The frequency of rs2070766 GG genotype was higher in ACS patients than in control subjects (6.2 vs 3.8%, p = 0.034). Multivariate logistic regression analysis revealed that individuals with mutant GG genotype had a 1.7-fold higher risk of ACS compared with individuals with CC or CG genotypes. Using MIF rs2070766 genotypes and clinical factors, we developed a nomogram model to predict risk of ACS. The nomogram model had a good discrimination with an area under the curve of 0.781 (95% CI: 0.759–0.804), concordance index of 0.784 (95% CI: 0.762–0.806) and well-fitted calibration. During the follow-up period of 25 months, Kaplan-Meier curves demonstrated that ACS patients carrying GG phenotype developed more MACE compared to CC or CG carriers (p < 0.05). GG genotype of MIF gene rs2070766 was associated with a higher risk of ACS in a Chinese population. The GG genotype carriers in ACS patients had worse clinical outcomes compared with those carrying CC or CG genotype. Together with rs2070766 genetic variant of MIF gene, we established a novel nomogram model that can provide individualized prediction for ACS.

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“…In order to reduce the outcome of late cardiac dysfunction, doctors have been exploring factors such as negative ventricular remodeling, left ventricular contraction, and diastolic dysfunction. Among these factors, the severity of coronary artery disease is related to ventricular remodeling and left ventricular function 3,4. In elderly patients with CHD, the left atrium causes constant progression of left ventricle and aorta remodeling and progressive decline of left ventricular systolic function.…”

Section: Discussionmentioning

confidence: 99%

Influence of elderly patients’ coronary artery lesion severity on cardiac remodeling and left ventricular function

et al. 2018

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Objective:To analyze the correlation between coronary artery lesion and cardiac function change among elderly patients with coronary heart disease (CHD).Methods:A total of 171 elderly patients with CHD hospitalized from 2009 to 2016 were selected. Their ultrasonic cardiographic and coronary angiographic data were collected, and the correlation between coronary artery lesion and left ventricular remodeling, systolic and diastolic function was analyzed.Results:Coronary artery lesion among elderly patients with CHD was closely related with left ventricular remodeling and systolic function change, but not significantly correlated with diastolic function change.Conclusion:Coronary artery lesion severity of elderly patients with CHD was an important reason for left ventricular remodeling and cardiac systolic function change. Early intervention of coronary artery disease is of great significance to protect the heart function.

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Predicting obstructive coronary artery disease using carotid ultrasound parameters: A nomogram from a large real‐world clinical data

Abstract: Total number of plaques, area of maximum soft, hard and mixed plaques showed significantly incremental prediction ability over CRF. A nomogram based on these factors provided an intuitive and practical method in detecting CAD.

Cited by 13 publications

References 30 publications

Application of Model-Building Based on Arterial Ultrasound Imaging Evaluation to Predict CHD Risk

Application of Model-Building Based on Arterial Ultrasound Imaging Evaluation to Predict CHD Risk

Genetic Variation of Migration Inhibitory Factor Gene rs2070766 Is Associated With Acute Coronary Syndromes in Chinese Population

Influence of elderly patients’ coronary artery lesion severity on cardiac remodeling and left ventricular function

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