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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
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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
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Cognitive performance predicts major adverse cardiovascular events in patients with heart failure with reduced ejection fraction.
Session:
Posters 1 - Écran 9 - Insuficiência Cardíaca
Speaker:
Vitor Hugo Pereira
Congress:
CPC 2019
Topic:
D. Heart Failure
Theme:
10. Chronic Heart Failure
Subtheme:
10.2 Chronic Heart Failure – Epidemiology, Prognosis, Outcome
Session Type:
Posters
FP Number:
---
Authors:
Vitor Hugo Pereira; Rita Sousa; Patricia Fino; Filipa Canário Almeida
Abstract
<p><strong>INTRODUCTION: </strong>Heart Failure (HF) is a complex clinical syndrome with multiple comorbidities. Cognitive impairment, stress, anxiety, depression and lower quality of life (QoL) are prevalent in HF, but their ability to predict major adverse cardiovascular events (MACE) is not known. Herein, we explore the value of these parameters in the prediction of MACE in patients with HF with reduced Ejection Fraction (HFrEF). </p> <p><strong>METHODS: </strong>A longitudinal study was conducted using a sample of 65 patients from the hospitals of Guimarães and Barcelos. A battery of tests was performed to assess cognition (Montreal Cognitive Assesment (MoCA) and Mini-Mental State Examination), QoL (Kansas City Cardiomyopathy Questionnaire - KCCQ), stress (Perceived Stress Scale-10), anxiety and depression (Hospital Anxiety and Depression Scale). During a 2-year follow-up period (July 2016 to June 2018) MACE were registered using clinical records of these hospitals. A descriptive statistical analysis was conducted, as well as multiple linear and Cox regression models to determine the predictive value of neurocognitive parameters and QoL in MACE.</p> <p><strong>RESULTS: </strong>Both MoCA (hazard ratio (HR)=0,904; 95% confidence interval (CI)=0,817-1,001; p<0,05) and KCCQ (HR=0,983; 95% CI=0,970-0,997; p=0,015) scores were statistically significant in predicting MACE but not overall mortality. Anxiety, depression and stress were not predictors of MACE. However, anxiety (β=-,326; p=0,012)and depression levels (β=-,309; p=0,014)were independent predictors of the KCCQ score.</p> <p><strong>CONCLUSION: </strong>In patients with HFrEF, cognition and QoL are predictors of future MACE. Therefore, in the future, it will be important to evaluate these dimensions to foresee and prevent upcoming MACE.</p>
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