Hostname: page-component-7bb8b95d7b-cx56b Total loading time: 0 Render date: 2024-09-16T20:58:38.535Z Has data issue: false hasContentIssue false

2D-Speckle tracking echocardiography contributes to early identification of impaired left ventricular myocardial function in children with chronic kidney disease

Published online by Cambridge University Press:  28 August 2018

Hasan Demetgul
Affiliation:
Department of Pediatric Cardiology, Hatay Woman’s and Children’s Hospital, Hatay, Turkey
Dilek Giray*
Affiliation:
Department of Pediatric Cardiology, Tokat State Hospital, Tokat, Turkey
Ali Delibas
Affiliation:
Department of Pediatric Nephrology, Mersin University, Mersin, Turkey
Olgu Hallioglu
Affiliation:
Department of Pediatric Cardiology, Mersin University, Mersin, Turkey
*
Author for correspondence: Department of Pediatric Cardiology, Dilek Giray, Tokat State Hospital, Tokat 60230, Turkey. Tel: +90 324 241-0000; Fax: +90 324 241 0000; E-mail: ddilekkarabulut@hotmail.com

Abstract

Introduction

The aim of this study is to determine early changes in cardiac function of children with chronic kidney disease by using 2D-speckle tracking echocardiography.

Method

The study included 38 children – 16 girls and 22 boys – diagnosed as having chronic kidney disease in the nephrology department with a glomerular filtration rate of <90 ml/minute/1.73 m2 for at least 3 months. A total of 37 – 15 girls and 22 boys – age- and sex-matched healthy children were included as the control group. 2D-Speckle tracking echocardiography was performed in all subjects.

Results

The mean age was 13.45±2.8 years in patients and 12.89±3.07 years in controls. Systolic and diastolic blood pressures and left ventricular mass index were significantly higher in patients (p<0.05). The values of mitral e, mitral a, mitral e/a ratio, and mitral deceleration time were not different between the groups. Tricuspid annular plane systolic excursion values were lower in patients (p<0.01). Global strain values in apical long-axis 3-chamber and 2-chamber views were significantly lower in patients (p<0.05). Longitudinal, radial, and circumferential peak systolic strain values were lower in patients, but the difference was statistically significant in all segments of longitudinal view and basal segment of circumferential view (p<0.05). Radial and circumferential systolic strain rates were significantly lower in patients in all three segments (p<0.05). Moreover, early diastolic strain rate was significantly lower in longitudinal and radial apical segments and in all segments of circumferential measurements in patients. Besides, strain rate e/a ratio was significantly lower in all longitudinal segments of patients (p=0.01).

Conclusion

The study concluded that 2D-speckle tracking echocardiography method can determine cardiac involvement earlier than conventional echocardiography in children with chronic kidney disease having preserved ejection fraction.

Type
Original Article
Copyright
© Cambridge University Press 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. US Renal Data System: USRDS 2011 Annual Data Report: Atlas of Chronic Kidney Disease and End-Stage Renal Disease in the United States, Bethesda, MD, National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, 2011.Google Scholar
2. Mclntyre, CW, Odudu, A, Eldehni, TM. Cardiac assessment in chronic kidney disease. Curr opin Nephrol Hypertens 2009; 18: 501506.Google Scholar
3. Blessberger, H, Binder, T. Non-invasive imaging: Two dimensional speckle tracking echocardiography: basic principles. Heart 2010; 96: 716722.Google Scholar
4. Yan, P, Li, H, Hao, C, et al. 2D-speckle tracking echocardiography contributes to early identification of impaired left ventricular myocardial function in patients with chronic kidney disease. Nephron Clin Pract 2011; 118: 232240.Google Scholar
5. Edwards, NC, Hirth, A, Ferro, CJ, Townend, JN, Steeds, RP. Subclinical abnormalities of left ventricular myocardial deformation in early-stage chronic kidney disease: the precursor of uremic cardiomyopathy? J Am Soc Echocardiogr 2008; 21: 12931298.Google Scholar
6. Hogg, RJ, Furth, S, Lemley, KV, et al. National Kidney Foundation’s Kidney Disease Outcomes Quality Initiative clinical practice guidelines for chronic kidney disease in children and adolescents: evaluation, classification, and stratification. Pediatrics 2003; 111: 14161421.Google Scholar
7. Cain, PA, Ahl, R, Hedstrom, E, et al. Age and gender specific normal values of left ventricular mass, volume and function for gradient echo magnetic resonance imaging: a cross sectional study. BMC Med Imaging 2009; 9: 2.Google Scholar
8. Tumuklu, MM, Etikan, I, Kisacik, B, Kayikcioglu, M. Effect of obesity on left ventricular structure and myocardial systolic function: assessment by tissue Doppler imaging and strain/strain rate imaging. Echocardiography 2007; 24: 802809.Google Scholar
9. Devereux, RB, Reichek, N. Echocardiographic determination of left ventricular mass in man. Anatomic validation of the method. Circulation 1977; 55: 613618.Google Scholar
10. Rakhit, DJ, Zhang, XH, Leano, R, Armstrong, KA, Isbel, NM, Marwick, TH. Prognostic role of subclinical left ventricular abnormalities and impact of transplantation in chronic kidney disease. Am Heart J 2007; 153: 656664.Google Scholar
11. Rina, TC, Cohen, RB, Nir, A, et al. B-type natriuretic peptides are reliable markers of cardiac strain in CKD pediatric patients. Pediatr Nephrol 2012; 27: 617625.Google Scholar
12. Hayashi, SY, Brodin, LA, Alvestrand, A, et al. Improvement of cardiac function after haemodialysis. Quantitative evaluation by colored tissue velocity imaging. Nephrol Dial Transplant 2004; 19: 14971506.Google Scholar
13. Altekin, RE, Kucuk, M, Yanıkoglu, A, et al. Evaluation of the left ventricular regional function using two-dimensional speckle tracking echocardiography in patients with end-stage renal disease with preserved left ventricular ejection fraction. Acta Cardiol 2012; 6: 681691.Google Scholar
14. Liu, YW, Tsai, WC, Su, CT, Lin, CC, Chen, JH. Evidence of left ventricular systolic dysfunction detected by automated function imaging in patients with heart failure and preserved left ventricular ejection fraction. J Card Fail 2009; 15: 782789.Google Scholar
15. Graham-Brown, MPM, Patel, AS, Stensel, DJ, et al. Imaging of myocardial fibrosis in patients with end-stage renal disease: current limitations and future possibilities. BioMed Res Int. 2017; 2017: 14.Google Scholar
16. Liu, WL, Su, CT, Huang, YY, et al. Left ventricular systolic strain in chronic kidney disease and hemodialysis patients. Am J Nephrol 2011; 33: 8490.Google Scholar
17. Otsuka, T, Suzuki, M, Yoshikawa, H, Sugi, K. Left ventricular diastolic dysfunction in the early stage of chronic kidney disease. J Cardiol 2009; 54: 199204.Google Scholar
18. Gibson, DG, Francis, DP. Clinical assessment of left ventricular diastolic function. Heart 2003; 89: 231238.Google Scholar
19. Kasner, M, Gaub, R, Sinning, D, et al. Global strain rate imaging for the estimation of diastolic function in HFNEF compared with pressure-volume loop analysis. Eur J Echocardiogr 2010; 11: 743751.Google Scholar
20. Kjaergaard, J, Akkan, D, Iversen, KK, Kober, L, Torp-Pedersen, C, Hassager, C. Right ventricular dysfunction as an independent predictor of short- and long-term mortality in patients with heart failure. Eur J Heart Fail 2007; 9: 610616.Google Scholar
21. Plaksej, R, Kosmala, W, Frantz, S, et al. Relation of circulating markers of fibrosis and progression of left and right ventricular dysfunction in hypertensive patients with heart failure. J Hypertens 2009; 27: 24832491.Google Scholar
22. Kosmala, W, Plaksej, R, Strotmann, JM, et al. Progression of left ventricular functional abnormalities in hypertensive patients with heart failure: an ultrasonic two-dimensional speckle tracking study. J Am Soc Echocardiogr 2008; 21: 13091317.Google Scholar
23. Ereminiene, E, Vaskelyte, JJ, Stoskute, N, et al. Determinants of reduced tricuspid annular plane systolic excursion in patients with severe systolic left ventricular dysfunction. Acta Cardiol 2012; 67: 657663.Google Scholar
24. Akkaya, M, Erdoğan, E, Sağ, S, Arı, H, Türker, Y, Yılmaz, M. The effect of hemodialysis on right ventricular functions in patients with end-stage renal failure. Anadolu Kardiyol Derg 2012; 12: 510.Google Scholar