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
Pre-test probability of chronic coronary syndrome
Session:
CO 01 - Doença coronária
Speaker:
Miguel Carias
Congress:
CPC 2021
Topic:
E. Coronary Artery Disease, Acute Coronary Syndromes, Acute Cardiac Care
Theme:
12. Coronary Artery Disease (Chronic)
Subtheme:
12.3 Coronary Artery Disease – Diagnostic Methods
Session Type:
Comunicações Orais
FP Number:
---
Authors:
Miguel Carias De Sousa; Francisco Cláudio; Rita Rocha; Mafalda Carrington; João Pais; Diogo Brás; Rui Guerreiro; Ângela Bento
Abstract
<p style="text-align:justify"><span style="font-size:medium"><span style="font-family:Calibri,sans-serif"><span style="color:#000000"><strong>Introduction</strong></span></span></span></p> <p style="text-align:justify"><span style="font-size:medium"><span style="font-family:Calibri,sans-serif"><span style="color:#000000">The pre-test probability (PTP) of a patient with clinical suspicion of chronic coronary syndrome (CCS) can be calculated through sex, age and symptoms, namely characteristic of chest pain and the presence or not of dyspnea, the latter included in the last CCS guidelines (2019).</span></span></span></p> <p style="text-align:justify"><span style="font-size:medium"><span style="font-family:Calibri,sans-serif"><span style="color:#000000">The 2013 ESC guidelines used the updated Diamond and Forrester model to calculate PTP. The most recent 2019 guidelines changed the calculation method.</span></span></span></p> <p style="text-align:justify"><span style="font-size:medium"><span style="font-family:Calibri,sans-serif"><span style="color:#000000">However, PTP depends on the prevalence of CAD in the population, so the under or over-estimation of PTP can have consequences in the approach of each patient.</span></span></span></p> <p style="text-align:justify"> </p> <p style="text-align:justify"><span style="font-size:medium"><span style="font-family:Calibri,sans-serif"><span style="color:#000000"><strong>Purpose</strong></span></span></span></p> <p style="text-align:justify"><span style="font-size:medium"><span style="font-family:Calibri,sans-serif"><span style="color:#000000">Compare the Diamond-Forrester model, defended by the 2013 guidelines, with the model presented in the most recent guidelines (2019), with the prevalence of coronary artery disease to see which is closer to reality.</span></span></span></p> <p style="text-align:justify"> </p> <p style="text-align:justify"><span style="font-size:medium"><span style="font-family:Calibri,sans-serif"><span style="color:#000000"><strong>Methods</strong></span></span></span></p> <p style="text-align:justify"><span style="font-size:medium"><span style="font-family:Calibri,sans-serif"><span style="color:#000000">Unicentric retrospective observational study. Patients undergoing cardiac catheterization for suspected chronic coronary syndrome with a positive ischemia test were included, including exercise stress test (treadmill ergometer), stress echocardiogram, scintigraphy or cardiac magnetic resonance. Each patient's PTP was calculated using the Diamond-Forrester model (2013 guidelines) and the model presented in the most recent guidelines. Both methods were compared with the prevalence of obstructive coronary artery disease diagnosed by cardiac catheterization, defined by the presence of coronary lesion, with luminal stenosis <span style="font-family:Symbol">³</span>50%. Statistical analysis performed using STATA v13, with p<0.05 being considered as statistically significant.</span></span></span></p> <p style="text-align:justify"> </p> <p style="text-align:justify"><span style="font-size:medium"><span style="font-family:Calibri,sans-serif"><span style="color:#000000"><strong>Results</strong></span></span></span></p> <p style="text-align:justify"><span style="font-size:medium"><span style="font-family:Calibri,sans-serif"><span style="color:#000000">2472 patients were included, 62.66% male, with an average age of 65.13 <span style="font-family:Symbol">±</span> 9.98 years-old. Regarding cardiovascular risk factors, 69.66% had dyslipidemia, 35.76% diabetes mellitus and 82.36% arterial hypertension.</span></span></span></p> <p style="text-align:justify"><span style="font-size:medium"><span style="font-family:Calibri,sans-serif"><span style="color:#000000">The prevalence of CAD in the analyzed sample was higher than the PTP calculated either by the Diamond Forrester method and by the new method in patients of both sexes with atypical chest pain, non-cardiac chest pain and dyspnea (p <0.05). In patients of both sexes with typical chest pain, the Diamond Forrester method overestimated and the new model underestimated the prevalence of CAD.</span></span></span></p> <p style="text-align:justify"> </p> <p style="text-align:justify"><span style="font-size:medium"><span style="font-family:Calibri,sans-serif"><span style="color:#000000"><strong>Conclusion</strong></span></span></span></p> <p style="text-align:justify"><span style="font-size:medium"><span style="font-family:Calibri,sans-serif"><span style="color:#000000">The new guidelines changed the method of calculating PTP, and this new method underestimates the prevalence of CAD, moving further away from the reality observed in our population. Between the two methods of calculation compared, the Diamond Forrester model was the one that came closest to the reality of our population.</span></span></span></p>
Our mission: To reduce the burden of cardiovascular disease
Visit our site