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Updated: Jun 26, 2026

Coronary Progenitor Cells and Soluble Biomarkers in Cardiovascular Prognosis after Coronary Angioplasty
Published on: January 28, 2020
Systemic correlates of angiographic coronary artery disease
José Pedro L Nunes1, João Carlos Silva
1Faculdade de Medicina da Universidade do Porto, Porto, Portugal. jplnunes@med.up.pt
Insights
Fasting plasma glucose levels show a significant correlation with the severity of coronary artery disease (CAD). This observational study highlights glucose as a key systemic parameter linked to atherosclerosis progression in patients diagnosed via coronary angiography.
Area of Science:
- Cardiology
- Internal Medicine
- Biochemistry
Background:
- Coronary angiography is a primary diagnostic tool for evaluating coronary artery anatomy.
- Understanding systemic factors associated with coronary artery disease (CAD) burden is crucial for patient management.
Purpose of the Study:
- To investigate correlations between the extent of coronary artery disease (CAD) and various systemic parameters.
- To identify key predictors of CAD severity using statistical analysis.
Main Methods:
- An observational study involving 116 patients with angiographically diagnosed coronary heart disease.
- Correlation and linear regression analyses were performed using coronary artery disease burden (CADB) as the dependent variable.
- Independent variables included age, sex, plasma calcium, phosphorus, magnesium, glucose, HDL cholesterol, LDL cholesterol, triglycerides, uric acid, estimated glomerular filtration rate, and body mass index.
Main Results:
- Significant correlations were found between CADB and age (r=0.19, p=0.04), uric acid (r=0.18, p=0.048), and fasting plasma glucose (r=0.33, p<0.001).
- Linear regression analysis indicated that plasma glucose (p=0.018) and sex (p=0.008) were significant predictors of CADB.
- The overall model for linear regression was globally significant (p=0.002).
Conclusions:
- Plasma glucose levels demonstrated a significant correlation with coronary artery atherosclerosis lesions.
- Fasting plasma glucose emerges as a key systemic parameter associated with the burden of coronary artery disease.
Abstract:
Coronary angiography allows a direct evaluation of coronary anatomy. The aim of the present investigation was to search for correlations between the magnitude of coronary artery disease, as assessed by angiography, and a number of systemic parameters. A group of 116 patients (80 male, 36 female) with coronary heart disease diagnosed by angiography, aged 62.0+/-10.5 years, was the subject of an observational study. Correlation and linear regression analysis using coronary artery disease burden (CADB - sum of the percentage of the luminal stenosis encountered in all the lesions of the coronary arterial trees) as dependent variable, and age, sex, plasma calcium, phosphorus, magnesium, glucose, HDL cholesterol, LDL cholesterol, triglycerides, uric acid, estimated glomerular filtration rate and body mass index as independent variables, were carried out. Significant correlation values versus CADB were seen with age (r 0.19, p 0.04), uric acid (r 0.18, p 0.048) and fasting plasma glucose (r 0.33, p<0.001). Linear regression analysis, yielding a global significance level of 0.002, showed a significant value for glucose (p 0.018) and for sex (0.008). In conclusion, among several systemic parameters studied, plasma glucose was found to be correlated to coronary artery atherosclerosis lesions.
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