Left Atrial Strain Is the Best Predictor of Adverse Cardiovascular Outcomes in Patients with Chronic Kidney Disease.


Journal

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography
ISSN: 1097-6795
Titre abrégé: J Am Soc Echocardiogr
Pays: United States
ID NLM: 8801388

Informations de publication

Date de publication:
02 2021
Historique:
received: 01 07 2020
revised: 21 09 2020
accepted: 21 09 2020
pubmed: 24 11 2020
medline: 25 9 2021
entrez: 23 11 2020
Statut: ppublish

Résumé

Patients with chronic kidney disease (CKD) are at increased risk of adverse cardiovascular events, which is underestimated by traditional risk stratification algorithms. We sought to determine clinical and echocardiographic predictors of adverse outcomes in CKD patients. Two hundred forty-three prospectively recruited stage 3/4 CKD patients (male, 63%; mean age, 59.2 ± 14.4 years) without previous cardiac disease made up the study cohort. All participants underwent a transthoracic echocardiogram, with left ventricular (LV) and left atrial (LA) strain analysis. Participants were followed for 3.9 ± 2.7 years for the primary end point of cardiovascular death and major adverse cardiovascular event (MACE). The secondary end point was the composite of all-cause death and MACE. Fifty-four patients met the primary end point, and 65 the secondary end point. On log-rank tests, older age, diabetes mellitus, anemia, greater LV mass, reduced LV global longitudinal strain, larger indexed LA volume, higher E/e' ratio, and reduced LA reservoir strain (LASr; P < .01 for all) were independent predictors of cardiovascular death and MACE. On multivariable regression analysis of univariate predictors, LASr (P < .01) was the only independent predictor for the primary end point as well as for the secondary end point. Receiver operating characteristic curve analysis showed LASr was a stronger predictor of adverse events (area under the curve [AUC] = 0.84) compared to the Framingham (AUC = 0.58) and Atherosclerotic Cardiovascular Disease (AUC = 0.59) risk scores. LASr is an independent predictor of cardiovascular death and MACE in CKD patients, superior to clinical risk scores, LV parameters, and LA volume.

Sections du résumé

BACKGROUND
Patients with chronic kidney disease (CKD) are at increased risk of adverse cardiovascular events, which is underestimated by traditional risk stratification algorithms. We sought to determine clinical and echocardiographic predictors of adverse outcomes in CKD patients.
METHODS
Two hundred forty-three prospectively recruited stage 3/4 CKD patients (male, 63%; mean age, 59.2 ± 14.4 years) without previous cardiac disease made up the study cohort. All participants underwent a transthoracic echocardiogram, with left ventricular (LV) and left atrial (LA) strain analysis. Participants were followed for 3.9 ± 2.7 years for the primary end point of cardiovascular death and major adverse cardiovascular event (MACE). The secondary end point was the composite of all-cause death and MACE.
RESULTS
Fifty-four patients met the primary end point, and 65 the secondary end point. On log-rank tests, older age, diabetes mellitus, anemia, greater LV mass, reduced LV global longitudinal strain, larger indexed LA volume, higher E/e' ratio, and reduced LA reservoir strain (LASr; P < .01 for all) were independent predictors of cardiovascular death and MACE. On multivariable regression analysis of univariate predictors, LASr (P < .01) was the only independent predictor for the primary end point as well as for the secondary end point. Receiver operating characteristic curve analysis showed LASr was a stronger predictor of adverse events (area under the curve [AUC] = 0.84) compared to the Framingham (AUC = 0.58) and Atherosclerotic Cardiovascular Disease (AUC = 0.59) risk scores.
CONCLUSIONS
LASr is an independent predictor of cardiovascular death and MACE in CKD patients, superior to clinical risk scores, LV parameters, and LA volume.

Identifiants

pubmed: 33223356
pii: S0894-7317(20)30617-9
doi: 10.1016/j.echo.2020.09.015
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

166-175

Informations de copyright

Copyright © 2020 American Society of Echocardiography. Published by Elsevier Inc. All rights reserved.

Auteurs

Gary C H Gan (GCH)

Department of Cardiology, Blacktown Hospital, Sydney, New South Wales, Australia; Department of Cardiology, Westmead Hospital, Sydney, New South Wales, Australia; University of New South Wales, Sydney, New South Wales, Australia.

Krishna K Kadappu (KK)

Department of Cardiology, Liverpool Hospital, Sydney, New South Wales, Australia; Department of Cardiology, Campbelltown Hospital, Sydney, New South Wales, Australia.

Aditya Bhat (A)

Department of Cardiology, Blacktown Hospital, Sydney, New South Wales, Australia; University of New South Wales, Sydney, New South Wales, Australia.

Fernando Fernandez (F)

Department of Cardiology, Blacktown Hospital, Sydney, New South Wales, Australia.

Kennith H Gu (KH)

Department of Cardiology, Blacktown Hospital, Sydney, New South Wales, Australia.

Lawrence Cai (L)

University of New South Wales, Sydney, New South Wales, Australia.

Karen Byth (K)

Biostatistics Unit, Research and Education Network, Westmead Hospital, and the University of Sydney, Sydney, New South Wales, Australia.

Suzanne Eshoo (S)

Department of Cardiology, Blacktown Hospital, Sydney, New South Wales, Australia.

Liza Thomas (L)

Department of Cardiology, Westmead Hospital, Sydney, New South Wales, Australia; University of New South Wales, Sydney, New South Wales, Australia; Westmead Clinical School, University of Sydney, Sydney, New South Wales, Australia. Electronic address: l.thomas@unsw.edu.au.

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