Cardiac Mechanics and Kidney Function Decline in the Cardiovascular Health Study

Author:

Mehta Rupal123ORCID,Buzkova Petra4,Patel Harnish5,Cheng Jeanette5,Kizer Jorge R.6ORCID,Gottdiener John S.7,Psaty Bruce4,Khan Sadiya S.5ORCID,Ix Joachim H.89,Isakova Tamara12,Shlipak Michael G.10,Bansal Nisha4ORCID,Shah Sanjiv J.5

Affiliation:

1. Division of Nephrology, Department of Medicine, Northwestern University, Chicago, Illinois

2. Center for Translational Metabolism and Heath, Northwestern University, Chicago, Illinois

3. Jesse Brown Veterans Administration Hospital System, Chicago, Illinois

4. University of Washington, Seattle, Washington

5. Division of Cardiology, Department of Medicine, Northwestern University, Chicago, Illinois

6. Cardiology Section, San Francisco Veterans Administration Health Care System, and Departments of Medicine, Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California

7. University of Maryland, Baltimore, Maryland

8. Division of Nephrology, Department of Medicine, University of California San Diego, San Diego, California

9. Veterans Affairs, San Diego Healthcare System, San Diego, California

10. Kidney Health Research Collaborative, University of California, San Francisco, San Francisco, California

Abstract

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.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Psychiatry and Mental health,Neuropsychology and Physiological Psychology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3