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
Axial Muscle Size Quantification by Cardiac MRI as a Strong Predictor of Major Events in HF
Session:
Sessão de Comunicações Orais - Imagem
Speaker:
Gonçalo José Lopes Da Cunha
Congress:
CPC 2020
Topic:
B. Imaging
Theme:
03. Imaging
Subtheme:
03.3 Cardiac Magnetic Resonance
Session Type:
Comunicações Orais
FP Number:
---
Authors:
Gonçalo Lopes Da Cunha; Bruno M. Rocha; Pedro Freitas; Pedro Lopes; Carolina Padrão; Telma Lima; Ricardo Lopes; Afonso Grego; Fernando Marques; Patrícia Santim; Ana Santos; Sara Guerreiro; Carlos Aguiar; Maria João Andrade; João Abecasis; Carla Rodrigues Carvalho; Miguel Mendes; António Ferreira
Abstract
<p><strong>Background: </strong></p> <p>Clinical overt cardiac cachexia is a late and ominous sign in patients with heart failure (HF) and reduced left ventricular ejection fraction (LVEF). Low muscle mass could serve as a surrogate of subclinical cardiac cachexia and has already been shown to predict major adverse events in HF patients. The main goal of this study was to assess the feasibility and prognostic significance of a simplified muscle mass quantification by cardiac magnetic resonance (CMR) in HF with reduced LVEF.</p> <p> </p> <p><strong>Methods: </strong></p> <p>HF patients with LVEF < 40% referred for a clinically indicated CMR (1.5T scanner) were retrospectively identified in a single center. The main exclusion criteria were known primary muscle disease, diagnosed or suspected infiltrative myocardial disease and implanted device. The area of both <em>pectoralis major</em> muscles was measured on standard axial images at the level of the carina using manual outlining. To account for the effect of age and gender, <em>pectoralis major</em> muscle area was expressed as the difference in standard deviations in relation to the mean <em>pectoralis major</em> muscle area of a healthy cohort of 32 females and 37 males aged between 50 and 80 years old. The primary endpoint was a composite of all-cause mortality or HF hospitalization. Survival analysis was performed with Cox-regression hazards model and Kaplan-Meier.</p> <p> </p> <p><strong>Results: </strong></p> <p>A total of 184 HF patients were included (mean age 65 ± 12 years; 78% male; LVEF 30 ± 8%). Lower <em>pectoralis major</em> area was significantly correlated with older age (r = -0.36, p<0.001), lower LVEF (r = 0.14, p=0.050) and higher NT-proBNP (r = -0.44, p<0.001). During a median follow-up of 22 months (IQR: 14 - 29) there were 44 (23.9%) patients who met the primary endpoint (a total of 15 patients died and 29 had at least one HF hospitalization). In multivariate analysis, LVEF (HR per 1%: 0.95; CI: 0.91-0.98; p=0.004), creatinine (HR per 1mg/dL: 2.12; CI: 1.09-4.11; p=0.026) and <em>pectoralis major</em> area (HR per 1 SD below the mean: 1.40; CI: 1.01-1-1.95; p=0.047) were independent primary endpoint predictors.</p> <p> </p> <p><strong>Conclusions:</strong></p> <p><em>Pectoralis major</em> size measured by CMR in HFrEF was independently associated with a higher risk of death or HF hospitalization. Further studies need to be undertaken to establish appropriate age and gender-adjusted cut-offs of muscle areas that identify high-risk subgroups.</p>
Slides
Video
Our mission: To reduce the burden of cardiovascular disease
Visit our site
