Login
Search
Search
0 Dates
2026
2025
2024
2023
2022
2021
2020
2019
2018
0 Events
CPC 2018
CPC 2019
Curso de Atualização em Medicina Cardiovascular 2019
Reunião Anual Conjunta dos Grupos de Estudo de Cirurgia Cardíaca, Doenças Valvulares e Ecocardiografia da SPC
CPC 2020
CPC 2021
CPC 2022
CPC 2023
CPC 2024
CPC 2025
CPC 2026
0 Topics
A. Basics
B. Imaging
C. Arrhythmias and Device Therapy
D. Heart Failure
E. Coronary Artery Disease, Acute Coronary Syndromes, Acute Cardiac Care
F. Valvular, Myocardial, Pericardial, Pulmonary, Congenital Heart Disease
G. Aortic Disease, Peripheral Vascular Disease, Stroke
H. Interventional Cardiology and Cardiovascular Surgery
I. Hypertension
J. Preventive Cardiology
K. Cardiovascular Disease In Special Populations
L. Cardiovascular Pharmacology
M. Cardiovascular Nursing
N. E-Cardiology / Digital Health, Public Health, Health Economics, Research Methodology
O. Basic Science
P. Other
0 Themes
01. History of Cardiology
02. Clinical Skills
03. Imaging
04. Arrhythmias, General
05. Atrial Fibrillation
06. Supraventricular Tachycardia (non-AF)
07. Syncope and Bradycardia
08. Ventricular Arrhythmias and Sudden Cardiac Death (SCD)
09. Device Therapy
10. Chronic Heart Failure
11. Acute Heart Failure
12. Coronary Artery Disease (Chronic)
13. Acute Coronary Syndromes
14. Acute Cardiac Care
15. Valvular Heart Disease
16. Infective Endocarditis
17. Myocardial Disease
18. Pericardial Disease
19. Tumors of the Heart
20. Congenital Heart Disease and Pediatric Cardiology
21. Pulmonary Circulation, Pulmonary Embolism, Right Heart Failure
22. Aortic Disease
23. Peripheral Vascular and Cerebrovascular Disease
24. Stroke
25. Interventional Cardiology
26. Cardiovascular Surgery
27. Hypertension
28. Risk Factors and Prevention
29. Rehabilitation and Sports Cardiology
30. Cardiovascular Disease in Special Populations
31. Pharmacology and Pharmacotherapy
32. Cardiovascular Nursing
33. e-Cardiology / Digital Health
34. Public Health and Health Economics
35. Research Methodology
36. Basic Science
37. Miscellanea
0 Resources
Abstract
Slides
Vídeo
Report
CLEAR FILTERS
Associations of the remnant cholesterol and triglyceride-glucose index with coronary artery disease
Session:
Sessão de Posters 56 - Risco metabólico e lipoproteínas na doença coronária
Speaker:
francisco sousa
Congress:
CPC 2026
Topic:
E. Coronary Artery Disease, Acute Coronary Syndromes, Acute Cardiac Care
Theme:
12. Coronary Artery Disease (Chronic)
Subtheme:
12.5 Coronary Artery Disease – Prevention
Session Type:
Posters Eletrónicos
FP Number:
---
Authors:
Francisco Sousa; M. I. Mendonça; G. Abreu; M. Ferreira; F. Escórcio Silva; M. Rodrigues; E. Henriques; S. Freitas; S. Borges; A. Drumond; A.C. Sousa; R. Palma Dos Reis
Abstract
<p style="text-align:justify"><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><strong>Introduction</strong>: Remnant cholesterol (RC), a lipid index representing the cholesterol amount in triglyceride-rich lipoproteins (such as VLDL and chylomicron remnants), is associated with coronary artery disease (CAD). The triglyceride/glucose index (TyG) is a marker of cardiometabolic disease. However, the usefulness of RC and the TyG index in predicting CAD remains unclear.</span></span></p> <p style="text-align:justify"><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><strong>Aim:</strong> Evaluate the correlations of two biomarkers (RC and TyG index) with CAD, and compare their predictive performance for established CAD.</span></span></p> <p style="text-align:justify"><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><strong>Methods</strong>: We conducted a case–control study including 1,722 patients with angiographically confirmed CAD and 1,435 individuals without CAD. RC was calculated as: total cholesterol – (LDL-C + HDL-C), all in mmol/L. The TyG index was determined as ln [fasting triglyceride level (mg/dL) × fasting plasma glucose level (mg/dL)]/2. Spearman correlation assessed associations with CAD. Receiver operating characteristic (ROC) curves evaluated discriminatory ability. RC and TyG were stratified into quartiles, and multivariate logistic regression estimated the probability of CAD in each quartile, adjusting for conventional risk factors.</span></span></p> <p style="text-align:justify"><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><strong>Results</strong>: Both RC and TyG correlated weakly but significantly with CAD, with a stronger monotonic relationship for TyG (r=0.194 vs. r=0.126; p<0.0001). In ROC analysis, TyG showed better discriminatory performance than RC (AUC=0.612; 95% CI: 0.595–0.629). For RC, a significant association with CAD emerged from the 3rd quartile (OR=1.318; 95% CI: 1.055–1.647; p=0.015), while the 4th quartile showed a non-significant trend (OR=1.244; 95% CI: 0.998–1.552; p=0.052). Diabetes (p<0.0001) and smoking (p<0.0001) were also significantly associated with CAD. In the logistic regression for the TyG index, the association with CAD increased progressively across quartiles, reaching statistical significance in the 4th quartile (OR=1.447; 95% CI: 1.152–1.819; p=0.002). Hypertension (p<0.0001), type 2 diabetes (p<0.0001), and smoking (p<0.0001) were independently associated with CAD.</span></span></p> <p style="text-align:justify"><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><strong>Conclusions:</strong> RC and TyG index are independently associated with CAD. TyG index demonstrates a stronger correlation and better predictive capacity compared with RC, highlighting the role of insulin resistance-related and dyslipidemia in CAD development. Incorporating these markers into clinical assessment protocols may enhance early risk stratification and contribute to the prevention of premature atherosclerosis.</span></span></p>
Slides
Our mission: To reduce the burden of cardiovascular disease
Visit our site