Login
Search
Search
0 Dates
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
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
Relationship between the new SCORE2-Diabetes and coronary atherosclerotic burden - a coronary calcium score correlation study
Session:
Sessão de Posters 46 - TC Cardíaca
Speaker:
Joana Certo Pereira
Congress:
CPC 2024
Topic:
B. Imaging
Theme:
03. Imaging
Subtheme:
03.6 Cross-Modality and Multi-Modality Imaging Topics
Session Type:
Cartazes
FP Number:
---
Authors:
Joana Certo Pereira; Miguel Domingues; Pedro Freitas; Pedro Lopes; Claúdia Silva; Francisco Gama; Sara Guerreiro; João Abecasis; Pedro Adragão; António M. Ferreira
Abstract
<p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif">Background: </span></span></p> <p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif">Recently, the European Society of Cardiology developed a prediction model (SCORE2-Diabetes) to estimate the 10-year risk of cardiovascular disease (CVD) in individuals with type 2 diabetes, adding diabetes-related variables to the conventional risk factors included in the SCORE2. While previous population-based studies have indicated a moderate predictive ability of this tool for CVD, its association with coronary atherosclerotic (CAS) burden remains unclear. This study aimed to analyse the relationship between SCORE-2 Diabetes and coronary artery calcium score (CACS) as an indicator of atherosclerotic burden.</span></span></p> <p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif">Methods: </span></span></p> <p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif">Individuals 40-69 years with type 2 diabetes and without known CVD were identified from a single-center registry of patients undergoing CACS and coronary CT angiography for to suspected coronary artery disease (CAD). SCORE-2 Diabetes was categorized into risk groups according to the current European guidelines, and CACS was classified into four strata based on Agatston score ranges (0, 0-99, 100-299, or ≥ 300).</span></span></p> <p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif">We assessed the distribution of CACS across risk groups, the correlation between SCORE2-Diabetes and CACS, and the ability of SCORE2-Diabetes to identify patients with high atherosclerotic burden, defined as CACS ≥ 300. Additionally, we compared the performance of SCORE2-Diabetes against the classic SCORE2, intended for individuals without diabetes. </span></span></p> <p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif">Results: </span></span></p> <p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif">A total of 149 patients (57% men, mean age 60±7 years) were included. The mean HbA1c, age of diagnosis of diabetes, and eGFR were 7.2±1.3%, 53±10 years and 98±32 mL/min/1.73 m2, respectively. </span></span></p> <p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif">The distribution of patients across risk categories was 3% at moderate risk, 36% at high risk, and 61% at very high risk. The median CACS was 49 (IQR 0-399 AU), with 31% (n=46) of patients having a CACS of 0 and 42% (n=63) presenting CACS values ≥ 100. The distribution of CACS across SCORE2-Diabetes-defined risk groups is presented in Figure 1A. </span></span></p> <p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif">SCORE-2 Diabetes showed a moderate correlation with CACS (Spearman’s R=0.42; p=0.001) and good discriminative ability to identify patients with CACS ≥ 300 (C-statistic of 0.73, 95% CI 0.66-0.81, p<0.001). Moreover, SCORE-2 Diabetes also displayed a good predictive value to identify patients with obstructive CAD on coronary CT angiography (C-statistic 0.79, 95% CI 0.74-0.88, p<0.001).</span></span></p> <p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif">Compared to SCORE2-Diabetes, the classic SCORE2 showed a numerically lower correlation with CACS (Spearman’s R 0.38, p=0.001) and also lower predictive value to identify patients with CACS ≥ 300 (C-statistic of 0.69, 95% CI 60-0.78, p<0.001). </span></span></p> <p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif">Conclusion:</span></span></p> <p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif">SCORE2-Diabetes seems to correlate moderately with CACS and have relatively good ability to identify patients with high atherosclerotic burden and/or obstructive CAD. These findings support the use of this new tool to assess cardiovascular risk in diabetic patients. </span></span></p>
Slides
Our mission: To reduce the burden of cardiovascular disease
Visit our site