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10.1016/j.jelectrocard.2016.07.020 http://scihub22266oqcxt.onion/10.1016/j.jelectrocard.2016.07.020 C5159311!5159311 !27554424     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=27554424 &cmd=llinks): Failed to open stream: HTTP request failed! 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Electrocardiographic predictors of mortality and sudden cardiac death in patients with end stage renal disease on hemodialysis |pdf=|usr=}}{{27554424 }} gab.com Text Electrocardiographic predictors of mortality and sudden cardiac death in patients with end stage renal disease on hemodialysis JO: J Electrocardiol http://www.kidney.de/pget.php?&tw=1&pmid=27554424 #FOAvip 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. Twit Text FOAVip Electrocardiographic predictors of mortality and sudden cardiac death in patients with end stage renal disease on hemodialysis ????J Electrocardiol http://www.kidney.de/pget.php?&tw=1&pmid=27554424 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27554424 #FOAvip English Wikipedia <ref>{{Cite pmid|27554424 }}</ref> Electrocardiographic predictors of mortality and sudden cardiac death in patients with end stage renal disease on hemodialysis #MMPMID27554424 Waks JW ; Tereshchenko LG ; Parekh RS J Electrocardiol 2016[Nov]; 49 (6 ): 848-854 PMID27554424 show ga 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. |Cardiac Conduction System Disease/*diagnosis/*mortality [MESH] |Causality [MESH] |Comorbidity [MESH] |Death, Sudden, Cardiac/*epidemiology [MESH] |Electrocardiography/methods/*statistics & numerical data [MESH] |Female [MESH] |Humans [MESH] |Incidence [MESH] |Kidney Failure, Chronic/diagnosis/*mortality/*therapy [MESH] |Male [MESH] |Prognosis [MESH] |Renal Dialysis/*mortality/statistics & numerical data [MESH] |Reproducibility of Results [MESH] |Risk Factors [MESH] |Sensitivity and Specificity [MESH]Electrocardiographic predictors of mortality and sudden cardiac death (epmc).pdf DeepDyve Pubget Overpricing