Literature DB >> 20556806

QT prolongation is an independent predictor of mortality in end-stage renal disease.

Fadi G Hage1, Angelo M de Mattos, Hasan Khamash, Shikha Mehta, David Warnock, Ami E Iskandrian.   

Abstract

BACKGROUND: Coronary artery disease (CAD) is the predominant cause of sudden cardiac death in the general population, and sudden cardiac death is the leading cause of mortality in end-stage renal disease (ESRD). HYPOTHESIS: QT-interval prolongation is an independent prognosticator in ESRD.
METHODS: We reviewed clinical, electrocardiographic, stress test, and coronary angiography data on ESRD patients evaluated for transplantation at our institution between 2000 and 2004 who underwent coronary angiography. The QT interval was corrected for heart rate and QRS duration (QTc). All-cause mortality data were prospectively collected and verified against the Social Security Death Index database.
RESULTS: During 40 +/- 28 months of follow-up, 132 of the 280 (47%) patients died prior to renal transplantation. Patients with a prolonged QTc (39%) had 1-, 3-, and 5-year death-rates of 12%, 36%, and 47%, respectively, vs 8%, 24%, and 36% for those with normal QTc (log-rank P = 0.03). In a multivariate Cox regression model that adjusted for age, gender, diabetes mellitus, myocardial infarction, presence and severity of CAD on angiography, left ventricular (LV) hypertrophy, LV ejection fraction (EF), and multiple other variables, QTc remained to be an independent predictor of survival (hazard ratio [HR]: 1.008, 95% confidence interval [CI]: 1.001-1.014, P = 0.016). Female gender, decreasing LVEF, and decreasing severity of CAD on angiography were independent predictors of prolonged QTc.
CONCLUSIONS: QTc prolongation is an independent predictor of mortality in ESRD patients being evaluated for renal transplantation. The prognostic information gained from the QTc is additive to that provided by the LVEF and the severity of CAD.

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Mesh:

Year:  2010        PMID: 20556806      PMCID: PMC6653199          DOI: 10.1002/clc.20768

Source DB:  PubMed          Journal:  Clin Cardiol        ISSN: 0160-9289            Impact factor:   2.882


  22 in total

1.  QT dispersion predicts mortality and correlates with both coronary artery calcification and atherosclerosis in hemodialysis patients.

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2.  The prognostic value of left ventricular mechanical dyssynchrony using gated myocardial perfusion imaging in patients with end-stage renal disease.

Authors:  Himanshu Aggarwal; Wael A AlJaroudi; Shikha Mehta; Roslyn Mannon; Jaekyeong Heo; Ami E Iskandrian; Fadi G Hage
Journal:  J Nucl Cardiol       Date:  2014-05-24       Impact factor: 5.952

Review 3.  The potential of electrocardiography for cardiac risk prediction in chronic and end-stage kidney disease.

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Journal:  Nephrol Dial Transplant       Date:  2019-07-01       Impact factor: 5.992

Review 4.  Preoperative Noncoronary Cardiovascular Assessment and Management of Kidney Transplant Candidates.

Authors:  Jayson Rakesh Baman; Joseph Knapper; Zankhana Raval; Matthew E Harinstein; John J Friedewald; Kameswari Maganti; Michael J Cuttica; Michael I Abecassis; Ziad A Ali; Mihai Gheorghiade; James D Flaherty
Journal:  Clin J Am Soc Nephrol       Date:  2019-09-25       Impact factor: 8.237

5.  Risk of Mortality Associated With QT and JT Intervals at Different Levels of QRS Duration (from the Third National Health and Nutrition Examination Survey).

Authors:  Muhammad A Zulqarnain; Waqas T Qureshi; Wesley T O'Neal; Amit J Shah; Elsayed Z Soliman
Journal:  Am J Cardiol       Date:  2015-04-06       Impact factor: 2.778

6.  Left-ventricular systolic and diastolic dyssynchrony as assessed by multi-harmonic phase analysis of gated SPECT myocardial perfusion imaging in patients with end-stage renal disease and normal LVEF.

Authors:  Ji Chen; Andreas P Kalogeropoulos; Liudmila Verdes; Javed Butler; Ernest V Garcia
Journal:  J Nucl Cardiol       Date:  2011-01-13       Impact factor: 5.952

7.  Impact of left ventricular dyssynchrony by phase analysis on cardiovascular outcomes in patients with end-stage renal disease.

Authors:  Wael AlJaroudi; Himanshu Aggarwal; Rajesh Venkataraman; Jaekyeong Heo; Ami E Iskandrian; Fadi G Hage
Journal:  J Nucl Cardiol       Date:  2010-07-24       Impact factor: 5.952

8.  Electrocardiographic predictors of mortality and sudden cardiac death in patients with end stage renal disease on hemodialysis.

Authors:  Jonathan W Waks; Larisa G Tereshchenko; Rulan S Parekh
Journal:  J Electrocardiol       Date:  2016-07-28       Impact factor: 1.438

9.  Electrocardiogram abnormalities and heart rate variability in predicting mortality and cardiovascular events among hemodialyzed patients.

Authors:  Silvia Badarau; Dimitrie Siriopol; Daniela Drugus; Raluca Dumea; Simona Hogas; Mihaela Blaj; Luminita Voroneanu; Angelica Gramaticu; Antoniu Petris; Alexandru Burlacu; Adrian Covic
Journal:  Int Urol Nephrol       Date:  2015-09-02       Impact factor: 2.370

10.  The association of ECG and echocardiographic abnormalities with sudden cardiac death in a dialysis patient cohort.

Authors:  Darren Green; James P Ritchie; Nik Abidin; David I New; Philip A Kalra
Journal:  J Nephrol       Date:  2013-12-12       Impact factor: 3.902

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