Login
Search
Search
0 Dates
2026
2025
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
CPC 2025
CPC 2026
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
Diagnostic value of right ventricular wall thickness and free wall strain ratio in distinguishing hypertrophic cardiomyopathy and wild-type transthyretin cardiac amyloidosis
Session:
Sessão de Posters 08 - Amiloidose cardíaca por transtirretina: diagnóstico e reconhecimento da doença
Speaker:
Luísa Pinheiro
Congress:
CPC 2026
Topic:
F. Valvular, Myocardial, Pericardial, Pulmonary, Congenital Heart Disease
Theme:
17. Myocardial Disease
Subtheme:
17.3 Myocardial Disease – Diagnostic Methods
Session Type:
Posters Eletrónicos
FP Number:
---
Authors:
Luísa Pinheiro; Emídio Mata; Tamara Pereira; Bárbara Lage Garcia; Joana Gomes; Filipa Cordeiro; Marina Fernandes; Olga Azevedo; António Lourenço
Abstract
<p style="text-align:justify"><span style="font-family:Arial,Helvetica,sans-serif"><span style="font-size:12pt"><strong>Background:</strong> Although both hypertrophic cardiomyopathy (HCM) and wild-type transthyretin cardiac amyloidosis (ATTR-CM) affect the right ventricle (RV), their structural and functional patterns differ. Two-dimensional speckle-tracking echocardiography (2D-STE) enables detailed assessment of RV mechanics, and combining RV free wall strain (RV-FWS), wall thickness (RVWT), and their ratio may enhance diagnostic accuracy. </span></span></p> <p style="text-align:justify"><span style="font-family:Arial,Helvetica,sans-serif"><span style="font-size:12pt"><strong>Aim:</strong> To evaluate the diagnostic utility of RVWT, RV-FWS, and their ratio in differentiating HCM from ATTR-CM. </span></span></p> <p style="text-align:justify"><span style="font-family:Arial,Helvetica,sans-serif"><span style="font-size:12pt"><strong>Methods:</strong> This retrospective study included HCM (n=30) and ATTR-CM (n=30) patients evaluated for cardiomyopathy between 2014 and 2021. Two blinded observers assessed RV structure and function using echocardiography and 2D-STE. RV-FWS was analysed in absolute values. Receiver operating characteristic (ROC) analysis assessed the diagnostic performance of RVWT, RV-FWS, and their ratio, with DeLong’s test used for curve comparison. </span></span></p> <p style="text-align:justify"><span style="font-family:Arial,Helvetica,sans-serif"><span style="font-size:12pt"><strong>Results:</strong> ATTR-CM patients were older than HCM patients (Median[IQR] 84[5] vs 57[18.25] years, p<0.01) and had higher NT-proBNP levels (Median[IQR] 5841[11742] vs 812[857]pg/ml, p<0.01). ATTR-CM patients also had greater RVWT (9.0±1.7 vs 5.5±0.9mm, p<0.01) and reduced RV-FWS (15.5±7.6 vs 25.6±5.2%, p<0.01). In ROC analysis, RV-FWS had an area under the curve (AUC) of 0.89 [0.79–0.96] (p<0.01) with an associated cutoff of ≤18.8% for identifying ATTR-CM (sensitivity: 76.67%; specificity: 96.7%). RVWT showed an AUC of 0.98 [0.90–0.99] (p<0.01) with an associated cutoff of >6.5 mm for identifying ATTR-CM (sensitivity: 96.7%; specificity: 90%). The RV-FWS/RVWT ratio had an AUC of 0.96 [0.88–0.99] (p<0.01) with an associated cutoff of ≤2.73 for identifying ATTR-CM (sensitivity: 80%; specificity: 100%). Pairwise comparisons showed no significant difference between RVWT and the RV-FWS/RVWT ratio (difference 0.0194, p = 0.26), and a borderline non-significant difference between RVWT and RV-FWS (difference 0.0856, p = 0.05). However, the RV-FWS/RVWT ratio showed a significant advantage over RV-FWS (difference 0.07, p = 0.04) in distinguishing ATTR-CM from HCM. </span></span></p> <p><span style="font-family:Arial,Helvetica,sans-serif"><strong><span style="font-size:12.0pt">Discussion:</span></strong><span style="font-size:12.0pt"> The RV-FWS/RVWT ratio outperformed RV-FWS alone in distinguishing ATTR-CM from HCM and provided a 100% specific cutoff, surpassing RVWT. These findings highlight the diagnostic value of integrating structural and functional RV parameters, warranting validation in larger cohorts.</span></span></p>
Slides
Our mission: To reduce the burden of cardiovascular disease
Visit our site