Electrocardiographic predictors of mortality and sudden cardiac death in patients with end stage renal disease on hemodialysis.
J Electrocardiol
; 49(6): 848-854, 2016.
Article
em En
| MEDLINE
| ID: mdl-27554424
Patients with end stage renal disease (ESRD) on hemodialysis experience a high incidence of cardiovascular mortality, and sudden cardiac death (SCD) accounts for approximately 25% of all deaths in this patient population. Despite this high risk of SCD, many non-invasive SCD risk stratification tools that are frequently applied to other patient populations (such as those with prior myocardial infarction and reduced left ventricular systolic function) may be less useful markers of increased SCD risk in ESRD. Improved SCD risk stratification tools for use specifically in patients on hemodialysis are therefore necessary to optimally target use of primary prevention interventions aimed at decreasing SCD incidence. Electrocardiography is an effective, non-invasive SCD risk stratification tool in hemodialysis patients. This article reviews data supporting the association between various ECG parameters (QT interval, spatial QRS-T angle, signal averaged ECG, heart rate variability, and T-wave alternans) and mortality/SCD in the dialysis population. Despite the association between abnormal ECG parameters and SCD, it remains unclear if these abnormal parameters (such as prolonged QT interval) are mechanistically related to SCD and/or ventricular arrhythmias, or if they are simply markers for more severe cardiac disease, such as left ventricular hypertrophy, that may independently predispose to SCD. Current obstacles that impair widespread implementation of ECG risk stratification in the hemodialysis population are also discussed.
Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Diálise Renal
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Morte Súbita Cardíaca
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Eletrocardiografia
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Doença do Sistema de Condução Cardíaco
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Falência Renal Crônica
Tipo de estudo:
Diagnostic_studies
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Etiology_studies
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Incidence_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Female
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Humans
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Male
Idioma:
En
Ano de publicação:
2016
Tipo de documento:
Article