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Cardiac Mechanics and Kidney Function Decline in the Cardiovascular Health Study
KEY POINTS: Two-dimensional speckle-tracking echocardiography (2D-STE) can detect early changes in cardiac mechanics and may be able to identify individuals at risk for kidney disease progression. Novel indices of cardiac mechanics on 2D-STE may identify a population that may benefit from early diag...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society of Nephrology
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10278816/ https://www.ncbi.nlm.nih.gov/pubmed/36888990 http://dx.doi.org/10.34067/KID.0000000000000100 |
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author | Mehta, Rupal Buzkova, Petra Patel, Harnish Cheng, Jeanette Kizer, Jorge R. Gottdiener, John S. Psaty, Bruce Khan, Sadiya S. Ix, Joachim H. Isakova, Tamara Shlipak, Michael G. Bansal, Nisha Shah, Sanjiv J. |
author_facet | Mehta, Rupal Buzkova, Petra Patel, Harnish Cheng, Jeanette Kizer, Jorge R. Gottdiener, John S. Psaty, Bruce Khan, Sadiya S. Ix, Joachim H. Isakova, Tamara Shlipak, Michael G. Bansal, Nisha Shah, Sanjiv J. |
author_sort | Mehta, Rupal |
collection | PubMed |
description | KEY POINTS: Two-dimensional speckle-tracking echocardiography (2D-STE) can detect early changes in cardiac mechanics and may be able to identify individuals at risk for kidney disease progression. Novel indices of cardiac mechanics on 2D-STE may identify a population that may benefit from early diagnosis, monitoring, and treatment. Novel pharmacologic therapies may be beneficial in patients with subclinical myocardial dysfunction at risk for kidney function decline. BACKGROUND: Clinical heart failure frequently coexists with CKD and may precipitate kidney function decline. However, whether earlier-stage myocardial dysfunction assessable by speckle-tracking echocardiography (STE) is a contributor to kidney function decline remains unknown. METHODS: We studied 2135 Cardiovascular Health Study participants who were free of clinical heart failure and had year 2 baseline 2D-STE and two measurements of eGFR (year 2 and year 9). “Archival” speckle tracking of digitized echocardiogram videotapes was used to measure left ventricular longitudinal strain (LVLS), LV early diastolic strain rate (EDSR), left atrial reservoir strain (LARS), right ventricular free wall strain (RVFWS), and mitral annular velocity (e′). Multivariable Poisson regression models that adjusted for demographics and cardiovascular risk factors (RFs) were used to investigate the independent associations of cardiac mechanics indices and decline in kidney function defined as a 30% decline in eGFR over 7 years. RESULTS: In RF models, LVLS, EDSR, RVFWS, and e′ were all significantly associated with the prevalence of kidney disease. After multivariable adjustment, left atrial dysfunction (relative risk [RR], 1.18; 95% confidence interval [CI], 1.01 to 1.38 per SD lower LARS) and left ventricular diastolic dysfunction (RR, 1.21; 95% CI, 1.04 to 1.41 per SD lower EDSR) were each significantly associated with 30% decline in eGFR. CONCLUSIONS: Subclinical myocardial dysfunction suggesting abnormal diastolic function detected by 2D-STE was independently associated with decline in kidney function over time. Further studies are needed to understand the mechanisms of these associations and to test whether interventions that may improve subclinical myocardial dysfunction can prevent decline of kidney function. |
format | Online Article Text |
id | pubmed-10278816 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Society of Nephrology |
record_format | MEDLINE/PubMed |
spelling | pubmed-102788162023-08-03 Cardiac Mechanics and Kidney Function Decline in the Cardiovascular Health Study Mehta, Rupal Buzkova, Petra Patel, Harnish Cheng, Jeanette Kizer, Jorge R. Gottdiener, John S. Psaty, Bruce Khan, Sadiya S. Ix, Joachim H. Isakova, Tamara Shlipak, Michael G. Bansal, Nisha Shah, Sanjiv J. Kidney360 Original Investigation KEY POINTS: Two-dimensional speckle-tracking echocardiography (2D-STE) can detect early changes in cardiac mechanics and may be able to identify individuals at risk for kidney disease progression. Novel indices of cardiac mechanics on 2D-STE may identify a population that may benefit from early diagnosis, monitoring, and treatment. Novel pharmacologic therapies may be beneficial in patients with subclinical myocardial dysfunction at risk for kidney function decline. BACKGROUND: Clinical heart failure frequently coexists with CKD and may precipitate kidney function decline. However, whether earlier-stage myocardial dysfunction assessable by speckle-tracking echocardiography (STE) is a contributor to kidney function decline remains unknown. METHODS: We studied 2135 Cardiovascular Health Study participants who were free of clinical heart failure and had year 2 baseline 2D-STE and two measurements of eGFR (year 2 and year 9). “Archival” speckle tracking of digitized echocardiogram videotapes was used to measure left ventricular longitudinal strain (LVLS), LV early diastolic strain rate (EDSR), left atrial reservoir strain (LARS), right ventricular free wall strain (RVFWS), and mitral annular velocity (e′). Multivariable Poisson regression models that adjusted for demographics and cardiovascular risk factors (RFs) were used to investigate the independent associations of cardiac mechanics indices and decline in kidney function defined as a 30% decline in eGFR over 7 years. RESULTS: In RF models, LVLS, EDSR, RVFWS, and e′ were all significantly associated with the prevalence of kidney disease. After multivariable adjustment, left atrial dysfunction (relative risk [RR], 1.18; 95% confidence interval [CI], 1.01 to 1.38 per SD lower LARS) and left ventricular diastolic dysfunction (RR, 1.21; 95% CI, 1.04 to 1.41 per SD lower EDSR) were each significantly associated with 30% decline in eGFR. CONCLUSIONS: Subclinical myocardial dysfunction suggesting abnormal diastolic function detected by 2D-STE was independently associated with decline in kidney function over time. Further studies are needed to understand the mechanisms of these associations and to test whether interventions that may improve subclinical myocardial dysfunction can prevent decline of kidney function. American Society of Nephrology 2023-03-08 /pmc/articles/PMC10278816/ /pubmed/36888990 http://dx.doi.org/10.34067/KID.0000000000000100 Text en Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Society of Nephrology https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Original Investigation Mehta, Rupal Buzkova, Petra Patel, Harnish Cheng, Jeanette Kizer, Jorge R. Gottdiener, John S. Psaty, Bruce Khan, Sadiya S. Ix, Joachim H. Isakova, Tamara Shlipak, Michael G. Bansal, Nisha Shah, Sanjiv J. Cardiac Mechanics and Kidney Function Decline in the Cardiovascular Health Study |
title | Cardiac Mechanics and Kidney Function Decline in the Cardiovascular Health Study |
title_full | Cardiac Mechanics and Kidney Function Decline in the Cardiovascular Health Study |
title_fullStr | Cardiac Mechanics and Kidney Function Decline in the Cardiovascular Health Study |
title_full_unstemmed | Cardiac Mechanics and Kidney Function Decline in the Cardiovascular Health Study |
title_short | Cardiac Mechanics and Kidney Function Decline in the Cardiovascular Health Study |
title_sort | cardiac mechanics and kidney function decline in the cardiovascular health study |
topic | Original Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10278816/ https://www.ncbi.nlm.nih.gov/pubmed/36888990 http://dx.doi.org/10.34067/KID.0000000000000100 |
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