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

Author:

Skampardoni Sofia12,Poulikakos Dimitrios12,Malik Marek3,Green Darren12,Kalra Philip A12

Affiliation:

1. Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK

2. Renal Department, Salford Royal NHS Trust, Salford, UK

3. National Heart and Lung Institute, Imperial College, London, UK

Abstract

Abstract Cardiovascular mortality is very high in chronic and end-stage kidney disease (ESKD). However, risk stratification data are lacking. Sudden cardiac deaths are among the most common cardiovascular causes of death in these populations. As a result, many studies have assessed the prognostic potential of various electrocardiographic parameters in the renal population. Recent data from studies of implantable loop recordings in haemodialysis patients from five different countries have shed light on a pre-eminent bradyarrhythmic risk of mortality. Importantly, heart block addressed by permanent pacing system was detected in a proportion of patients during the prolonged recording periods. Standard electrocardiogram is inexpensive, non-invasive and easily accessible. Hence, risk prediction models using this simple investigation tool could easily translate into clinical practice. We believe that electrocardiographic assessment is currently under-valued in renal populations. For this review, we identified studies from the preceding 10 years that assessed the use of conventional and novel electrocardiographic biomarkers as risk predictors in chronic and ESKD. The review indicates that conventional electrocardiographic markers are not reliable for risk stratification in the renal populations. Novel parameters have shown promising results in smaller studies, but further validation in larger populations is required.

Funder

British Heart Foundation

Publisher

Oxford University Press (OUP)

Subject

Transplantation,Nephrology

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