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Global longitudinal strain by feature-tracking cardiovascular magnetic resonance imaging predicts mortality in patients with end-stage kidney disease
BACKGROUND: Patients with end-stage kidney disease (ESKD) are at increased risk of premature death, with cardiovascular disease being the predominant cause of death. We hypothesized that left ventricular global longitudinal strain (LV-GLS) measured by feature-tracking cardiovascular magnetic resonan...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8598121/ https://www.ncbi.nlm.nih.gov/pubmed/34804519 http://dx.doi.org/10.1093/ckj/sfab020 |
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author | Rankin, Alastair J Zhu, Luke Mangion, Kenneth Rutherford, Elaine Gillis, Keith A Lees, Jennifer S Woodward, Rosie Patel, Rajan K Berry, Colin Roditi, Giles Mark, Patrick B |
author_facet | Rankin, Alastair J Zhu, Luke Mangion, Kenneth Rutherford, Elaine Gillis, Keith A Lees, Jennifer S Woodward, Rosie Patel, Rajan K Berry, Colin Roditi, Giles Mark, Patrick B |
author_sort | Rankin, Alastair J |
collection | PubMed |
description | BACKGROUND: Patients with end-stage kidney disease (ESKD) are at increased risk of premature death, with cardiovascular disease being the predominant cause of death. We hypothesized that left ventricular global longitudinal strain (LV-GLS) measured by feature-tracking cardiovascular magnetic resonance imaging (CMRI) would be associated with all-cause mortality in patients with ESKD. METHODS: A pooled analysis of CMRI studies in patients with ESKD acquired within a single centre between 2002 and 2016 was carried out. CMR parameters including LV ejection fraction (LVEF), LV mass index, left atrial emptying fraction (LAEF) and LV-GLS were measured. We tested independent associations of CMR parameters with survival using a multivariable Cox model. RESULTS: Among 215 patients (mean age 54 years, 62% male), mortality was 53% over a median follow-up of 5 years. The median LVEF was 64.7% [interquartile range (IQR) 58.5–70.0] and the median LV-GLS was −15.3% (IQR −17.24 to −13.6). While 90% of patients had preserved LVEF (>50%), 58% of this group had abnormal LV-GLS (>−16%). On multivariable Cox regression, age {hazard ratio [HR] 1.04 [95% confidence interval (CI) 1.02–1.05]}, future renal transplant [HR 0.29 (95% CI 0.17–0.47)], LAEF [HR 0.98 (95% CI 0.96–1.00)] and LV-GLS [HR 1.08 (95% CI 1.01–1.16)] were independently associated with mortality. CONCLUSIONS: In this cohort of patients with ESKD, LV-GLS on feature-tracking CMRI and LAEF was associated with all-cause mortality, independent of baseline clinical variables and future renal transplantation. This effect was present even when >90% of the cohort had normal LVEF. Using LV-GLS instead of LVEF to diagnose cardiac dysfunction in patients with ESKD could result in a major advance in our understanding of cardiovascular disease in ESKD. |
format | Online Article Text |
id | pubmed-8598121 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-85981212021-11-18 Global longitudinal strain by feature-tracking cardiovascular magnetic resonance imaging predicts mortality in patients with end-stage kidney disease Rankin, Alastair J Zhu, Luke Mangion, Kenneth Rutherford, Elaine Gillis, Keith A Lees, Jennifer S Woodward, Rosie Patel, Rajan K Berry, Colin Roditi, Giles Mark, Patrick B Clin Kidney J Original Articles BACKGROUND: Patients with end-stage kidney disease (ESKD) are at increased risk of premature death, with cardiovascular disease being the predominant cause of death. We hypothesized that left ventricular global longitudinal strain (LV-GLS) measured by feature-tracking cardiovascular magnetic resonance imaging (CMRI) would be associated with all-cause mortality in patients with ESKD. METHODS: A pooled analysis of CMRI studies in patients with ESKD acquired within a single centre between 2002 and 2016 was carried out. CMR parameters including LV ejection fraction (LVEF), LV mass index, left atrial emptying fraction (LAEF) and LV-GLS were measured. We tested independent associations of CMR parameters with survival using a multivariable Cox model. RESULTS: Among 215 patients (mean age 54 years, 62% male), mortality was 53% over a median follow-up of 5 years. The median LVEF was 64.7% [interquartile range (IQR) 58.5–70.0] and the median LV-GLS was −15.3% (IQR −17.24 to −13.6). While 90% of patients had preserved LVEF (>50%), 58% of this group had abnormal LV-GLS (>−16%). On multivariable Cox regression, age {hazard ratio [HR] 1.04 [95% confidence interval (CI) 1.02–1.05]}, future renal transplant [HR 0.29 (95% CI 0.17–0.47)], LAEF [HR 0.98 (95% CI 0.96–1.00)] and LV-GLS [HR 1.08 (95% CI 1.01–1.16)] were independently associated with mortality. CONCLUSIONS: In this cohort of patients with ESKD, LV-GLS on feature-tracking CMRI and LAEF was associated with all-cause mortality, independent of baseline clinical variables and future renal transplantation. This effect was present even when >90% of the cohort had normal LVEF. Using LV-GLS instead of LVEF to diagnose cardiac dysfunction in patients with ESKD could result in a major advance in our understanding of cardiovascular disease in ESKD. Oxford University Press 2021-02-02 /pmc/articles/PMC8598121/ /pubmed/34804519 http://dx.doi.org/10.1093/ckj/sfab020 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of ERA-EDTA. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Articles Rankin, Alastair J Zhu, Luke Mangion, Kenneth Rutherford, Elaine Gillis, Keith A Lees, Jennifer S Woodward, Rosie Patel, Rajan K Berry, Colin Roditi, Giles Mark, Patrick B Global longitudinal strain by feature-tracking cardiovascular magnetic resonance imaging predicts mortality in patients with end-stage kidney disease |
title | Global longitudinal strain by feature-tracking cardiovascular magnetic resonance imaging predicts mortality in patients with end-stage kidney disease |
title_full | Global longitudinal strain by feature-tracking cardiovascular magnetic resonance imaging predicts mortality in patients with end-stage kidney disease |
title_fullStr | Global longitudinal strain by feature-tracking cardiovascular magnetic resonance imaging predicts mortality in patients with end-stage kidney disease |
title_full_unstemmed | Global longitudinal strain by feature-tracking cardiovascular magnetic resonance imaging predicts mortality in patients with end-stage kidney disease |
title_short | Global longitudinal strain by feature-tracking cardiovascular magnetic resonance imaging predicts mortality in patients with end-stage kidney disease |
title_sort | global longitudinal strain by feature-tracking cardiovascular magnetic resonance imaging predicts mortality in patients with end-stage kidney disease |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8598121/ https://www.ncbi.nlm.nih.gov/pubmed/34804519 http://dx.doi.org/10.1093/ckj/sfab020 |
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