Cargando…

Predictors of Arrhythmic Events Detected by Implantable Loop Recorders in Renal Transplant Candidates

BACKGROUND: The recording of arrhythmic events (AE) in renal transplant candidates (RTCs) undergoing dialysis is limited by conventional electrocardiography. However, continuous cardiac rhythm monitoring seems to be more appropriate due to automatic detection of arrhythmia, but this method has not b...

Descripción completa

Detalles Bibliográficos
Autores principales: Silva, Rodrigo Tavares, Martinelli Filho, Martino, Peixoto, Giselle de Lima, de Lima, José Jayme Galvão, de Siqueira, Sérgio Freitas, Costa, Roberto, Gowdak, Luís Henrique Wolff, de Paula, Flávio Jota, Kalil Filho, Roberto, Ramires, José Antônio Franchini
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Cardiologia 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4651408/
https://www.ncbi.nlm.nih.gov/pubmed/26351983
http://dx.doi.org/10.5935/abc.20150106
_version_ 1782401633556103168
author Silva, Rodrigo Tavares
Martinelli Filho, Martino
Peixoto, Giselle de Lima
de Lima, José Jayme Galvão
de Siqueira, Sérgio Freitas
Costa, Roberto
Gowdak, Luís Henrique Wolff
de Paula, Flávio Jota
Kalil Filho, Roberto
Ramires, José Antônio Franchini
author_facet Silva, Rodrigo Tavares
Martinelli Filho, Martino
Peixoto, Giselle de Lima
de Lima, José Jayme Galvão
de Siqueira, Sérgio Freitas
Costa, Roberto
Gowdak, Luís Henrique Wolff
de Paula, Flávio Jota
Kalil Filho, Roberto
Ramires, José Antônio Franchini
author_sort Silva, Rodrigo Tavares
collection PubMed
description BACKGROUND: The recording of arrhythmic events (AE) in renal transplant candidates (RTCs) undergoing dialysis is limited by conventional electrocardiography. However, continuous cardiac rhythm monitoring seems to be more appropriate due to automatic detection of arrhythmia, but this method has not been used. OBJECTIVE: We aimed to investigate the incidence and predictors of AE in RTCs using an implantable loop recorder (ILR). METHODS: A prospective observational study conducted from June 2009 to January 2011 included 100 consecutive ambulatory RTCs who underwent ILR and were followed-up for at least 1 year. Multivariate logistic regression was applied to define predictors of AE. RESULTS: During a mean follow-up of 424 ± 127 days, AE could be detected in 98% of patients, and 92% had more than one type of arrhythmia, with most considered potentially not serious. Sustained atrial tachycardia and atrial fibrillation occurred in 7% and 13% of patients, respectively, and bradyarrhythmia and non-sustained or sustained ventricular tachycardia (VT) occurred in 25% and 57%, respectively. There were 18 deaths, of which 7 were sudden cardiac events: 3 bradyarrhythmias, 1 ventricular fibrillation, 1 myocardial infarction, and 2 undetermined. The presence of a long QTc (odds ratio [OR] = 7.28; 95% confidence interval [CI], 2.01–26.35; p = 0.002), and the duration of the PR interval (OR = 1.05; 95% CI, 1.02–1.08; p < 0.001) were independently associated with bradyarrhythmias. Left ventricular dilatation (LVD) was independently associated with non-sustained VT (OR = 2.83; 95% CI, 1.01–7.96; p = 0.041). CONCLUSIONS: In medium-term follow-up of RTCs, ILR helped detect a high incidence of AE, most of which did not have clinical relevance. The PR interval and presence of long QTc were predictive of bradyarrhythmias, whereas LVD was predictive of non-sustained VT.
format Online
Article
Text
id pubmed-4651408
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Sociedade Brasileira de Cardiologia
record_format MEDLINE/PubMed
spelling pubmed-46514082015-11-19 Predictors of Arrhythmic Events Detected by Implantable Loop Recorders in Renal Transplant Candidates Silva, Rodrigo Tavares Martinelli Filho, Martino Peixoto, Giselle de Lima de Lima, José Jayme Galvão de Siqueira, Sérgio Freitas Costa, Roberto Gowdak, Luís Henrique Wolff de Paula, Flávio Jota Kalil Filho, Roberto Ramires, José Antônio Franchini Arq Bras Cardiol Article BACKGROUND: The recording of arrhythmic events (AE) in renal transplant candidates (RTCs) undergoing dialysis is limited by conventional electrocardiography. However, continuous cardiac rhythm monitoring seems to be more appropriate due to automatic detection of arrhythmia, but this method has not been used. OBJECTIVE: We aimed to investigate the incidence and predictors of AE in RTCs using an implantable loop recorder (ILR). METHODS: A prospective observational study conducted from June 2009 to January 2011 included 100 consecutive ambulatory RTCs who underwent ILR and were followed-up for at least 1 year. Multivariate logistic regression was applied to define predictors of AE. RESULTS: During a mean follow-up of 424 ± 127 days, AE could be detected in 98% of patients, and 92% had more than one type of arrhythmia, with most considered potentially not serious. Sustained atrial tachycardia and atrial fibrillation occurred in 7% and 13% of patients, respectively, and bradyarrhythmia and non-sustained or sustained ventricular tachycardia (VT) occurred in 25% and 57%, respectively. There were 18 deaths, of which 7 were sudden cardiac events: 3 bradyarrhythmias, 1 ventricular fibrillation, 1 myocardial infarction, and 2 undetermined. The presence of a long QTc (odds ratio [OR] = 7.28; 95% confidence interval [CI], 2.01–26.35; p = 0.002), and the duration of the PR interval (OR = 1.05; 95% CI, 1.02–1.08; p < 0.001) were independently associated with bradyarrhythmias. Left ventricular dilatation (LVD) was independently associated with non-sustained VT (OR = 2.83; 95% CI, 1.01–7.96; p = 0.041). CONCLUSIONS: In medium-term follow-up of RTCs, ILR helped detect a high incidence of AE, most of which did not have clinical relevance. The PR interval and presence of long QTc were predictive of bradyarrhythmias, whereas LVD was predictive of non-sustained VT. Sociedade Brasileira de Cardiologia 2015-11 /pmc/articles/PMC4651408/ /pubmed/26351983 http://dx.doi.org/10.5935/abc.20150106 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 Article
Silva, Rodrigo Tavares
Martinelli Filho, Martino
Peixoto, Giselle de Lima
de Lima, José Jayme Galvão
de Siqueira, Sérgio Freitas
Costa, Roberto
Gowdak, Luís Henrique Wolff
de Paula, Flávio Jota
Kalil Filho, Roberto
Ramires, José Antônio Franchini
Predictors of Arrhythmic Events Detected by Implantable Loop Recorders in Renal Transplant Candidates
title Predictors of Arrhythmic Events Detected by Implantable Loop Recorders in Renal Transplant Candidates
title_full Predictors of Arrhythmic Events Detected by Implantable Loop Recorders in Renal Transplant Candidates
title_fullStr Predictors of Arrhythmic Events Detected by Implantable Loop Recorders in Renal Transplant Candidates
title_full_unstemmed Predictors of Arrhythmic Events Detected by Implantable Loop Recorders in Renal Transplant Candidates
title_short Predictors of Arrhythmic Events Detected by Implantable Loop Recorders in Renal Transplant Candidates
title_sort predictors of arrhythmic events detected by implantable loop recorders in renal transplant candidates
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4651408/
https://www.ncbi.nlm.nih.gov/pubmed/26351983
http://dx.doi.org/10.5935/abc.20150106
work_keys_str_mv AT silvarodrigotavares predictorsofarrhythmiceventsdetectedbyimplantablelooprecordersinrenaltransplantcandidates
AT martinellifilhomartino predictorsofarrhythmiceventsdetectedbyimplantablelooprecordersinrenaltransplantcandidates
AT peixotogiselledelima predictorsofarrhythmiceventsdetectedbyimplantablelooprecordersinrenaltransplantcandidates
AT delimajosejaymegalvao predictorsofarrhythmiceventsdetectedbyimplantablelooprecordersinrenaltransplantcandidates
AT desiqueirasergiofreitas predictorsofarrhythmiceventsdetectedbyimplantablelooprecordersinrenaltransplantcandidates
AT costaroberto predictorsofarrhythmiceventsdetectedbyimplantablelooprecordersinrenaltransplantcandidates
AT gowdakluishenriquewolff predictorsofarrhythmiceventsdetectedbyimplantablelooprecordersinrenaltransplantcandidates
AT depaulaflaviojota predictorsofarrhythmiceventsdetectedbyimplantablelooprecordersinrenaltransplantcandidates
AT kalilfilhoroberto predictorsofarrhythmiceventsdetectedbyimplantablelooprecordersinrenaltransplantcandidates
AT ramiresjoseantoniofranchini predictorsofarrhythmiceventsdetectedbyimplantablelooprecordersinrenaltransplantcandidates