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Heart Lung and Circulation
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Heart Lung and Circulation
Other literature type . 2017
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Non-HDL-C vs. LDL-C in Predicting the Severity of Coronary Atherosclerosis

Authors: Roever, Leonardo; Biondi-Zoccai, Giuseppe; Chagas, Antonio Carlos Palandri;

Non-HDL-C vs. LDL-C in Predicting the Severity of Coronary Atherosclerosis

Abstract

Atherosclerosis is a complex process involving multiple interfaces among inflammation, hypertension, age, ectopic obesity, diabetes, metabolic syndrome, dyslipidaemias, poor diet, smoking, sedentary lifestyle, impaired immune system, endothelial, vascular, hormonal and coagulation [1–3]. Dyslipidaemia is a risk factor for coronary artery disease (CAD), stroke, metabolic syndrome (MetS) peripheral artery disease. Early diagnosis and management are key factors in the prevention of atherosclerotic disease and development of cardiovascular events [4,5]. Several guidelines have recommended using the low-density lipoprotein (LDL-C) treatment goal as the marker for patients with dyslipidaemia. Recently, non-high-density lipoprotein cholesterol (non-HDL-C) has been recognised as a target marker in the treatment of patients with hypertriglyceridaemia or cardiometabolic abnormalities. NonHDL-C is the amount of cholesterol carried by apoB particles including the cholesterol carried by LDL and VLDL particles [6–10]. However, whether non-HDL-C or LDL-C is the better marker reflecting the atherogenic coronary risk remains controversial. The LDL-C measures the mass of cholesterol within LDL particles, and the non-HDL-C indicates the mass of cholesterol within all the apolipoprotein B (apoB) particles including LDL and very low-density lipoprotein (VLDL) [11].

Country
Italy
Keywords

Cholesterol, HDL, Coronary atherosclerosis; Lipids; Prediction.; Cholesterol, HDL; Cholesterol, LDL; Coronary Artery Disease; Humans; Severity of Illness Index; Pulmonary and Respiratory Medicine; Cardiology and Cardiovascular Medicine, Humans, Cholesterol, LDL, Coronary Artery Disease, Severity of Illness Index

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Average
Top 10%
Top 10%
Green
bronze