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Diagnosis of Rejection by Analyzing Ventricular Late Potentials in Heart Transplant Patients

BACKGROUND: Heart transplant rejection originates slow and fragmented conduction. Signal-averaged ECG (SAECG) is a stratification method in the risk of rejection. OBJECTIVE: To develop a risk score for rejection, using SAECG variables. METHODS: We studied 28 transplant patients. First, we divided th...

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Autores principales: Mendes, Vítor Nogueira, Pereira, Telmo Santos, Matos, Vítor Azevedo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Cardiologia - SBC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4765012/
https://www.ncbi.nlm.nih.gov/pubmed/26815311
http://dx.doi.org/10.5935/abc.20160011
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author Mendes, Vítor Nogueira
Pereira, Telmo Santos
Matos, Vítor Azevedo
author_facet Mendes, Vítor Nogueira
Pereira, Telmo Santos
Matos, Vítor Azevedo
author_sort Mendes, Vítor Nogueira
collection PubMed
description BACKGROUND: Heart transplant rejection originates slow and fragmented conduction. Signal-averaged ECG (SAECG) is a stratification method in the risk of rejection. OBJECTIVE: To develop a risk score for rejection, using SAECG variables. METHODS: We studied 28 transplant patients. First, we divided the sample into two groups based on the occurrence of acute rejection (5 with rejection and 23 without). In a second phase, we divided the sample considering the existence or not of rejection in at least one biopsy performed on the follow-up period (rejection pm1: 18 with rejection and 10 without). RESULTS: On conventional ECG, the presence of fibrosis was the only criterion associated with acute rejection (OR = 19; 95% CI = 1.65-218.47; p = 0.02). Considering the rejection pm1, an association was found with the SAECG variables, mainly with RMS40 (OR = 0.97; 95% CI = 0.87-0.99; p = 0.03) and LAS40 (OR = 1.06; 95% IC = 1.01-1.11; p = 0.03). We formulated a risk score including those variables, and evaluated its discriminative performance in our sample. The presence of fibrosis with increasing of LAS40 and decreasing of RMS40 showed a good ability to distinguish between patients with and without rejection (AUC = 0.82; p < 0.01), assuming a cutoff point of sensitivity = 83.3% and specificity = 60%. CONCLUSION: The SAECG distinguished between patients with and without rejection. The usefulness of the proposed risk score must be demonstrated in larger follow-up studies.
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spelling pubmed-47650122016-02-26 Diagnosis of Rejection by Analyzing Ventricular Late Potentials in Heart Transplant Patients Mendes, Vítor Nogueira Pereira, Telmo Santos Matos, Vítor Azevedo Arq Bras Cardiol Original Articles BACKGROUND: Heart transplant rejection originates slow and fragmented conduction. Signal-averaged ECG (SAECG) is a stratification method in the risk of rejection. OBJECTIVE: To develop a risk score for rejection, using SAECG variables. METHODS: We studied 28 transplant patients. First, we divided the sample into two groups based on the occurrence of acute rejection (5 with rejection and 23 without). In a second phase, we divided the sample considering the existence or not of rejection in at least one biopsy performed on the follow-up period (rejection pm1: 18 with rejection and 10 without). RESULTS: On conventional ECG, the presence of fibrosis was the only criterion associated with acute rejection (OR = 19; 95% CI = 1.65-218.47; p = 0.02). Considering the rejection pm1, an association was found with the SAECG variables, mainly with RMS40 (OR = 0.97; 95% CI = 0.87-0.99; p = 0.03) and LAS40 (OR = 1.06; 95% IC = 1.01-1.11; p = 0.03). We formulated a risk score including those variables, and evaluated its discriminative performance in our sample. The presence of fibrosis with increasing of LAS40 and decreasing of RMS40 showed a good ability to distinguish between patients with and without rejection (AUC = 0.82; p < 0.01), assuming a cutoff point of sensitivity = 83.3% and specificity = 60%. CONCLUSION: The SAECG distinguished between patients with and without rejection. The usefulness of the proposed risk score must be demonstrated in larger follow-up studies. Sociedade Brasileira de Cardiologia - SBC 2016-02 /pmc/articles/PMC4765012/ /pubmed/26815311 http://dx.doi.org/10.5935/abc.20160011 Text en http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Mendes, Vítor Nogueira
Pereira, Telmo Santos
Matos, Vítor Azevedo
Diagnosis of Rejection by Analyzing Ventricular Late Potentials in Heart Transplant Patients
title Diagnosis of Rejection by Analyzing Ventricular Late Potentials in Heart Transplant Patients
title_full Diagnosis of Rejection by Analyzing Ventricular Late Potentials in Heart Transplant Patients
title_fullStr Diagnosis of Rejection by Analyzing Ventricular Late Potentials in Heart Transplant Patients
title_full_unstemmed Diagnosis of Rejection by Analyzing Ventricular Late Potentials in Heart Transplant Patients
title_short Diagnosis of Rejection by Analyzing Ventricular Late Potentials in Heart Transplant Patients
title_sort diagnosis of rejection by analyzing ventricular late potentials in heart transplant patients
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4765012/
https://www.ncbi.nlm.nih.gov/pubmed/26815311
http://dx.doi.org/10.5935/abc.20160011
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