Electrocardiographic parameters of left ventricular hypertrophy and prediction of mortality in hemodialysis patients.


Journal

Journal of nephrology
ISSN: 1724-6059
Titre abrégé: J Nephrol
Pays: Italy
ID NLM: 9012268

Informations de publication

Date de publication:
Jan 2022
Historique:
received: 01 03 2021
accepted: 09 05 2021
pubmed: 21 5 2021
medline: 24 3 2022
entrez: 20 5 2021
Statut: ppublish

Résumé

In hemodialysis patients, left ventricular hypertrophy (LVH) contributes to high cardiovascular mortality. We examined cardiovascular mortality prediction by the recently proposed Peguero-Lo Presti voltage since it identifies more patients with electrocardiographic (ECG) LVH than Cornell or Sokolow-Lyon voltages. A total of 308 patients on hemodialysis underwent 24 h ECG recordings. LVH parameters were measured before and after dialysis. The primary endpoint of cardiovascular mortality was recorded during a median 3-year follow up. Risk prediction was assessed by Cox regression, both unadjusted and adjusted for the Charlson Comorbidity Index and the Cardiovascular Mortality Risk Score. The Peguero-Lo Presti voltage identified with 21% the most patients with positive LVH criteria. All voltages significantly increased during dialysis. Factors such as ultrafiltration rate, Kt/V, body mass index, sex, and phosphate were the most relevant for these changes. During follow-up, 26 cardiovascular deaths occurred. Post-dialysis Peguero-Lo Presti cut-off as well as the Peguero-Lo Presti and Cornell voltages were independently associated with cardiovascular mortality in unadjusted and adjusted analysis. The Sokolow-Lyon voltage was not significantly associated with mortality. An optimal cut-off for the prediction of cardiovascular mortality was estimated at 1.38 mV for the Peguero-Lo Presti. The post-dialysis Peguero-Lo Presti cut-off as well as the Peguero-Lo Presti and Cornell voltages allowed independent risk prediction of cardiovascular mortality in hemodialysis patients. Measuring the ECG LVH parameters after dialysis might allow a standardized interpretation as dialysis-specific factors influence the voltages.

Sections du résumé

BACKGROUND BACKGROUND
In hemodialysis patients, left ventricular hypertrophy (LVH) contributes to high cardiovascular mortality. We examined cardiovascular mortality prediction by the recently proposed Peguero-Lo Presti voltage since it identifies more patients with electrocardiographic (ECG) LVH than Cornell or Sokolow-Lyon voltages.
METHODS METHODS
A total of 308 patients on hemodialysis underwent 24 h ECG recordings. LVH parameters were measured before and after dialysis. The primary endpoint of cardiovascular mortality was recorded during a median 3-year follow up. Risk prediction was assessed by Cox regression, both unadjusted and adjusted for the Charlson Comorbidity Index and the Cardiovascular Mortality Risk Score.
RESULTS RESULTS
The Peguero-Lo Presti voltage identified with 21% the most patients with positive LVH criteria. All voltages significantly increased during dialysis. Factors such as ultrafiltration rate, Kt/V, body mass index, sex, and phosphate were the most relevant for these changes. During follow-up, 26 cardiovascular deaths occurred. Post-dialysis Peguero-Lo Presti cut-off as well as the Peguero-Lo Presti and Cornell voltages were independently associated with cardiovascular mortality in unadjusted and adjusted analysis. The Sokolow-Lyon voltage was not significantly associated with mortality. An optimal cut-off for the prediction of cardiovascular mortality was estimated at 1.38 mV for the Peguero-Lo Presti.
CONCLUSIONS CONCLUSIONS
The post-dialysis Peguero-Lo Presti cut-off as well as the Peguero-Lo Presti and Cornell voltages allowed independent risk prediction of cardiovascular mortality in hemodialysis patients. Measuring the ECG LVH parameters after dialysis might allow a standardized interpretation as dialysis-specific factors influence the voltages.

Identifiants

pubmed: 34014512
doi: 10.1007/s40620-021-01068-0
pii: 10.1007/s40620-021-01068-0
pmc: PMC8803820
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

233-244

Informations de copyright

© 2021. The Author(s).

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Auteurs

Matthias C Braunisch (MC)

Department of Nephrology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany. Matthias.Braunisch@mri.tum.de.

Peter Gundel (P)

Department of Nephrology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Klinik für Innere Medizin 4, Schwerpunkt Nephrologie und Hypertensiologie, Klinikum Nürnberg, Nuremberg, Germany.

Stanislas Werfel (S)

Department of Nephrology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.

Christopher C Mayer (CC)

Center for Health and Bioresources, Biomedical Systems, AIT Austrian Institute of Technology GmbH, Vienna, Austria.

Axel Bauer (A)

University Hospital for Internal Medicine III, Medical University Innsbruck, Innsbruck, Austria.
Department of Cardiology, Munich University Clinic, DZHK (German Centre for Cardiovascular Research), Ludwig-Maximilians University, Munich, Germany.

Bernhard Haller (B)

Institute of Medical Informatics, Statistics and Epidemiology (IMedIS), School of Medicine, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany.

Roman Günthner (R)

Department of Nephrology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.

Georg Lorenz (G)

Department of Nephrology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.

Susanne Angermann (S)

Department of Nephrology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.

Julia Matschkal (J)

Department of Nephrology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.

Carolin Schaller (C)

Department of Nephrology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.

Christopher Holzmann-Littig (C)

Department of Nephrology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
TUM Medical Education Center, School of Medicine, Technical University of Munich, Munich, Germany.

Stephan Kemmner (S)

Department of Nephrology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Transplant Center, University Hospital Munich, Ludwig-Maximillians University (LMU), Munich, Germany.

Johannes Mann (J)

Department of Nephrology, University of Erlangen-Nürnberg, Erlangen, Germany.
KfH Kidney Center Munich, Isoldenstraße 15, Munich, Germany.

Axel Krieter (A)

Nephrocare München-Ost, Rosenkavalierplatz 5, Munich, Germany.

Lutz Renders (L)

Department of Nephrology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.

Siegfried Wassertheurer (S)

Center for Health and Bioresources, Biomedical Systems, AIT Austrian Institute of Technology GmbH, Vienna, Austria.

Georg Schmidt (G)

School of Medicine, Klinik für Innere Medizin I, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.

Uwe Heemann (U)

Department of Nephrology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.

Marek Malik (M)

National Heart and Lung Institute, Imperial College London, London, UK.
Department of Internal Medicine and Cardiology, Faculty of Medicine, Masaryk University, Brno, Czech Republic.

Christoph Schmaderer (C)

Department of Nephrology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany. Christoph.Schmaderer@mri.tum.de.

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