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
Cardiorespiratory Optimal Point as a predictor of outcomes in patients enrolled in a cardiac rehabilitation program
Session:
CO4 - Prevenção / Reabilitação
Speaker:
Alexandra Castelo
Congress:
CPC 2019
Topic:
J. Preventive Cardiology
Theme:
29. Rehabilitation and Sports Cardiology
Subtheme:
29.1 Exercise Testing
Session Type:
Comunicações Orais
FP Number:
---
Authors:
Alexandra Castelo; Pedro Rio; Sofia Silva; Sandra Alves; Pedro Garcia Brás; Vera Ferreira; Tânia Branco Mano; João Pedro Reis; Rita Ilhão Moreira; Dra. Inês Rodrigues; Tiago Mendonça; Luís Almeida Morais; Madalena Coutinho Cruz; António Valentim Gonçalves; Rui Cruz Ferreira
Abstract
<p><strong>Introduction</strong>: The cardiopulmonary exercise test (CEPT) allows the evaluation of peak and sub-maximal tolerance to the effort, giving us relevant information for clinical decisions. Evidence has emerged that Cardiorespiratory Optimal Point (COP)> 30, calculated as the minimum ratio between ventilation and oxygen (VE / VO2) may be a good predictor of events.</p> <p><strong>Objective</strong>: The aim was to characterize the population of the cardiac rehabilitation (CR) appointment that performed CEPT, evaluate COP as a predictor of events and determine the best cut off for our population.</p> <p><strong>Methods</strong>: Retrospective analysis of CR appointment patients who performed CEPT between 2014 and 2017 in a single center. We compared the mortality and hospitalizations according to COP and COP> 30. We established the appropriate Cut Off for our population and compared the same with the occurrence of events.</p> <p><strong>Results</strong>: 207Patients (P) (83.6% men) were included, with a mean age of 57 years. The mean COP was 23.6 +-5.8 (IC [24.06-25.66]). 15.9% P had COP >30 and 33.8 had COP<22. The majority (96.6%) had a cardiovascular disease or risk factors and 99% were medicated. The majority (87.9%) was referred for CR with isquemic cardiopathy (AMI or stable or unstable coronary disease), 9.2% with heart failure (HF) and 9.2% with valvulopathy. 6.9% P died for any cause, 33.8% had an hospitalization (78.6% from a cardiovascular reason). Higher COP values ??correlated with higher number of all causes hospitalizations (H) (CC = 0.123, p = 0.032), cardiovascular H (CC = 0.123, p = 0.032), heart failure H (CC = 0.189, p = 0.001) and device placement H (CC = 0.173, p = 0.003). COP did not correlate with mortality (p = 0.453). The cut off of 30 only correlated with HF hospitalization in this population (OR = 5, IC [1.429-17.494] p = 0.006). In our population, COP was a good predictor for all cause H and heart failure H (AUC = 0.8 in both). A cut off of 25 had a sensitivity (S) of 78% with a specificity (E) of 70% for all cause hospitalization and S 73% and E 68% for heart failure H. Values ??above this cut off correlate with more all cause H (OR = 1,928, IC [1.06-3.507], p = 0.031) and heart failure H (OR = 5.63, IC [1,44-21.94]), p = 0.006). COP was an independent predictor of all-cause H (p = 0.018) and heart failure H (p <0.0001). Other independent predictors of HF hospitalization are BNP (p = 0.0011) and ejection fraction (p <0.0001).</p> <p><strong>Conclusion</strong>: COP was a good independent predictor of all-cause hospitalizations and HF hospitalization. In our population the cut off 25 for COP had the greatest S and E for predicting events. In our population this factor was not a good predictor of mortality.</p>
Slides
Our mission: To reduce the burden of cardiovascular disease
Visit our site