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Non-High-Density Lipoproteins Cholesterol and Cardio-Metabolic Risk
Dana Baibata1, Georgiana Ionescu1, Biliana Petcov2
1"Victor Babes" University of Medicine and Pharmacy, Timisoara, Romania.
Insights
Non-high-density lipoprotein cholesterol (non-HDLc) is a key predictor of cardio-metabolic risk. This study developed a model to predict non-HDLc, improving cardiovascular risk assessment in patients with metabolic syndrome.
Area of Science:
- Cardiology
- Metabolic Syndrome Research
- Vascular Biology
Background:
- Cardio-metabolic risk and cardiovascular event risk stratification are distinct but related concepts.
- Atherogenic process involves different stages of vascular development.
- Non-high-density lipoprotein cholesterol (non-HDLc) behavior was analyzed in relation to traditional cardiovascular risk factors.
Purpose of the Study:
- To analyze non-HDLc behavior and its correlation with cardiovascular risk factors.
- To develop a mathematical model for predicting non-HDLc levels.
- To reassess cardiovascular risk using predicted non-HDLc values.
Main Methods:
- Included 214 patients hospitalized for suspected coronary artery disease requiring invasive vascular evaluation.
- Assessed 10-year fatal cardiovascular event risk, lipid profiles, and performed coronary angiography.
- Utilized statistical analysis, including linear regression for mathematical model development.
Main Results:
- A significant positive association was found between carotid artery intima-media thickness (c-IMT) and non-HDLc (p <0.001).
- A linear regression model demonstrated that total cholesterol, LDL, triglycerides, and metabolic syndrome explained 97.5% of non-HDLc variability.
- Non-HDLc was identified as a useful prognostic factor for cardio-metabolic risk.
Conclusions:
- Non-HDLc serves as a valuable prognostic indicator in quantifying cardio-metabolic risk.
- The relationship between non-HDLc and cardio-metabolic risk factors supports its inclusion in risk prediction equations.
- This is particularly relevant for individuals diagnosed with metabolic syndrome.
Background:
The concept of cardio metabolic risk and risk stratification for cardiovascular events are two distinct entities related with different stages of vascular development of the atherogenic process. In our analytical transversal study, we analyzed non-high-density lipoprotein cholesterol behavior and the correlations with traditional cardiovascular risk factors in a subpopulation with coronary pain and indication of angio coronarography. We tried to build a mathematical model in order to predict the non-HDLc, allowing additional cardiovascular risk reassesment.
Methods:
We included 214 patients hospitalized for symptoms and signs suggestive of coronary artery disease and thus indication of vascular invasive evaluation. The protocol of the vascular evaluation included: assessment of cardiovascular risk for fatal cardiovascular event within the next 10 years, the lipidic risk profile, coronarography and statistical analysis.
Results:
We found a positive and highly statistically significant association between carotid artery intima-media thickness (c-IMT) and non-HDLc value (p <0.001). The mathematical model of linear regression showed the variability of non-HDLc depending on the following numeric variables: total cholesterol (TC), low density lipoproteins (LDL), triglycerides (TG), metabolic syndrome (MS); 97.5% of the non-HDLc variability was dependent on these variables.
Conclusions:
Non-HDLc is a useful prognostic factor in cardio-metabolic risk quantification. The interdependent relation between non-HDLc and cardio-metabolic risk factors justifies the inclusion of this parameter in cardio-metabolic risk prediction equation in subjects with metabolic syndrome.
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