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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Sociedade Brasileira de Cardiologia - SBC
2016
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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. |
format | Online Article Text |
id | pubmed-4765012 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Sociedade Brasileira de Cardiologia - SBC |
record_format | MEDLINE/PubMed |
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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