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
Comparison of peak oxygen consumption and percent of predicted oxygen consumption for predicting prognosis in young and female heart failure patients
Session:
CO 07 - IC -Prognóstico
Speaker:
Rita Loreto Ilhão Moreira
Congress:
CPC 2018
Topic:
D. Heart Failure
Theme:
10. Chronic Heart Failure
Subtheme:
10.2 Chronic Heart Failure – Epidemiology, Prognosis, Outcome
Session Type:
Comunicações Orais
FP Number:
---
Authors:
Rita Ilhão Moreira; Tiago Pereira Da Silva; António Valentim Gonçalves; Tânia Branco Mano; João Pedro Reis; Tiago Mendonça; Madalena Coutinho Cruz; Luís Almeida Morais; Dra. Inês Rodrigues; Pedro Modas Daniel; Sílvia Aguiar Rosa; Joana Gomes Feliciano; Ana Abreu; Rui M. Soares; Rui Cruz Ferreira
Abstract
<p><strong>Background: </strong>Recent guidelines recommend the use of different cardiopulmonary exercise test parameters in conjunction to peak oxygen consumption (pVO2) to guide heart transplant listing in young patients and women, including the percent of predicted peak oxygen consumption (%ppVO2). However this recommendation is weakly supported by evidence.</p> <p><strong>Purpose: </strong>We aimed to compare %ppVO2 and pVO2 as risk predictors in young and female patients with heart failure and reduced left ventricular ejection fraction (LVEF).</p> <p><strong>Methods: </strong>Ambulatory patients with symptomatic heart failure and LVEF ≤40%, followed in our center, prospectively underwent a baseline comprehensive evaluation including clinical, laboratorial, electrocardiographic, echocardiographic, and cardiopulmonary exercise testing parameters; all patients were followed-up for 60 months. The combined endpoint was cardiac death, urgent heart transplantation or need for mechanical circulatory support. Patients were divided according to age (< 50 and ≥ 50 years old) and gender.</p> <p><strong>Results: </strong>In the 263 enrolled patients (32% < 50 year, 25% female, LVEF 28 ±7%), 74 events occurred. Using Cox regression analysis, %ppVO2 and pVO2 were predictors of adverse events (HR 0.80, 95% CI 0.75-0.85, p<0.001 and HR 0.94, 95% CI 0.92-0.97, p<0.001, respectively). Receiving operating characteristics curves are shown in figure 1. In young patients, %ppVO2 was a more accurate predictor of adverse outcomes (%ppVO2 - AUC 0.801, 95% CI 0.710-0.891, p <0.001 vs. pVO2 – AUC 0.769, 95% CI 0.662 – 0.876, p<0.001), while in older patients pVO2 performed better (%ppVO2 – AUC 0.782, 95% CI 0.693-0.871, p<0.001 vs. pVO2 – AUC 0.812, 95% CI 0.731-0.893, p<0.001). In women, %ppVO2 also had greater ability to discriminate outcomes (% ppVO2 – AUC 0.920, 95% CI 0.851-0.989, p<0.001 vs. pVO2 – AUC 0.795, 95% CI 0.645-0.945, p 0.001) whereas pVO2 was a slightly better predictor for men (%ppVO2 - AUC 0.759, 95% CI 0.681-0.837, p<0.001 vs. pVO2 – AUC 0.764, 95% 0.687-0.842, p<0.001). A cut-off value of 50% for %ppVO2 yield a specificity of 80% and sensibility of 50% for young patients and a specificity of 96% and a sensibility 47% for women.</p> <p><strong>Conclusion: </strong>Percent of predicted peak oxygen consumption was more accurate than peak oxygen consumption for risk stratification in young and female patients with heart failure and reduced ejection fraction.</p>
Slides
Our mission: To reduce the burden of cardiovascular disease
Visit our site