Literature DB >> 24525033

Longitudinal changes of cardiac structure and function in CKD (CASCADE study).

Qi-Zhe Cai1, Xiu-Zhang Lu2, Ye Lu3, Angela Yee-Moon Wang4.   

Abstract

Little is known regarding the natural longitudinal changes in cardiac structure and function in CKD. We hypothesized that baseline CKD stage is associated with progressive worsening in cardiac structure and function. We conducted a prospective longitudinal study, recruiting 300 patients with stages 3-5 CKD from a major regional tertiary center and university teaching hospital in Hong Kong. Baseline CKD stages were studied in relation to natural longitudinal changes in echocardiographic and tissue Doppler imaging-derived parameters. Over 1 year, the prevalence of left ventricular (LV) hypertrophy increased from 40.3% to 48.9%, median left atrial volume index increased 4.8 (interquartile range [IQR], 2.1, 7.7) ml/m(2) (P<0.001), peak systolic mitral annular velocity decreased 0.5 (IQR, -1.5, 0.5) cm/s (P<0.001), early diastolic mitral annular velocity decreased 0.5 (IQR, -1.5, 0.5) cm/s (P<0.001), and eGFR declined 2.0 (IQR, -5.0, 0.0) ml/min per 1.73 m(2). CKD stages 4 and 5 were associated with more baseline abnormalities in cardiac structure and function and predicted greater longitudinal progression in LV mass index (odds ratio [OR], 3.02; 95% confidence interval [95% CI], 1.39 to 6.58), volume index (OR, 2.58; 95% CI, 1.18 to 5.62), and left atrial volume index (OR, 2.61; 95% CI, 1.20 to 5.69) and worse diastolic dysfunction grade (OR, 3.17; 95% CI, 1.16 to 8.69) compared with stage 3a in the fully adjusted analysis. In conclusion, more advanced CKD at baseline may be associated with larger longitudinal increases in LV mass and volume and greater deterioration in diastolic function.
Copyright © 2014 by the American Society of Nephrology.

Entities:  

Keywords:  chronic kidney disease; echocardiography; heart disease; left ventricular hypertrophy

Mesh:

Year:  2014        PMID: 24525033      PMCID: PMC4073437          DOI: 10.1681/ASN.2013080899

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   10.121


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Review 10.  Computational Models Used to Predict Cardiovascular Complications in Chronic Kidney Disease Patients: A Systematic Review.

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