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Related Concept Videos

Coronary Artery Disease I: Introduction01:30

Coronary Artery Disease I: Introduction

Coronary Artery Disease (CAD): An Overview with Scientific InsightsCoronary Artery Disease (CAD), often referred to as C-A-D, is a prevalent blood vessel disorder classified under the broader category of atherosclerosis. Atherosclerosis is a pathological process characterized by the hardening and narrowing of arteries due to the accumulation of atherosclerotic plaques. These plaques are composed of cholesterol, fatty substances, inflammatory cells, calcium, and fibrin, reducing blood flow to...
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Coronary Artery Disease (CAD) originates from a series of events that impair the function of coronary arteries, the blood vessels responsible for delivering oxygen-rich blood to the heart muscle. The pathophysiology of CAD is closely linked to atherosclerosis, a chronic inflammatory and lipid-driven condition affecting the vascular endothelium.1. Endothelial DamageThe process begins with damage to the vascular endothelium, which serves as a protective barrier between the blood and the vessel...
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Diagnosing acute coronary syndrome or ACS begins with a thorough patient history. Notable symptoms include central, crushing chest pain radiating to the left arm, neck, jaw, or back, along with shortness of breath, sweating (diaphoresis), nausea, vomiting, dizziness, and palpitations.It is crucial to note any history of cardiac illnesses and assess risk factors, including age, gender, smoking, hypertension, diabetes, hyperlipidemia, and a sedentary lifestyle.During physical examination, vital...

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Lipoproteins predicting coronary lesion complexity in premature coronary artery disease: a supervised machine

Marta Marcinkowska1, Agnieszka Kuchta2, Petra Małgorzata Grešner3

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Frontiers in Cardiovascular Medicine
|May 9, 2025
PubMed
Summary

Lipoprotein(a) [Lp(a)] levels predict coronary lesion complexity in premature coronary artery disease (pCAD). An Lp(a) level of 63.5 mg/dl identifies complex lesions, and a model with Lp(a), LDL-C, age, and sex improves prediction.

Keywords:
LDL - cholesterolSYNTAX scorelipoprotein(a)machine learningpremature coronary artery disease

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Area of Science:

  • Cardiology
  • Biomarkers
  • Medical Diagnostics

Background:

  • Premature coronary artery disease (pCAD) poses significant health risks.
  • Assessing coronary lesion complexity is crucial for effective treatment strategies.
  • Lipoprotein(a) [Lp(a)] and LDL-C are implicated in cardiovascular disease progression.

Purpose of the Study:

  • To evaluate lipoprotein(a) [Lp(a)] and LDL-C as predictors of coronary lesion complexity in pCAD patients.
  • To determine the utility of Lp(a) levels in identifying complex coronary lesions.
  • To develop a predictive model for coronary lesion complexity using clinical and biomarker data.

Main Methods:

  • 162 pCAD patients undergoing coronary angiography were analyzed.
  • Coronary lesion complexity was assessed using the SYNTAX score (SS).
  • Linear discriminant analysis (LDA) was used to build a multivariate predictive model.

Main Results:

  • Elevated Lp(a) levels correlated with higher SS (≥23) and intermediate SS (1-22) compared to SS=0.
  • An Lp(a) cut-off of 63.5 mg/dl distinguished SS ≥ 23 from SS ≤ 22 (AUC 0.620).
  • An LDA model incorporating Lp(a), LDL-C, age, and sex demonstrated improved prediction (AUC 0.800).

Conclusions:

  • Lp(a) levels are associated with coronary artery lesion complexity in pCAD.
  • An Lp(a) level of 63.5 mg/dl serves as a potential cut-off for identifying complex lesions (SS ≥ 23).
  • LDA modeling with Lp(a), LDL-C, age, and sex offers a promising tool for early identification of patients with complex coronary lesions.