Skip to main content
Log in

Early impact of albuminuria on cardiac function in patients with chronic kidney disease: a prospective study

  • Original Paper
  • Published:
The International Journal of Cardiovascular Imaging Aims and scope Submit manuscript

Abstract

Cardiovascular disease (CVD) is the leading cause of end-stage mortality in chronic kidney disease (CKD) patients. However, CVD and CKD are inextricably linked, as microalbuminuria is an independent risk factor for CVD. Herein, we investigated changes in cardiac function and its risk factors in CKD patients who had different urine albumin-to-creatinine ratios (UACRs) and estimated glomerular filtration rates (eGFRs). We prospectively enrolled 182 CKD patients, classified into three groups based on UACRs and eGFRs. Fifty healthy volunteers were included as controls. Changes in clinical and echocardiographic parameters were assessed in each group, and factors independently associated with strain parameters were further analyzed. Compared with those in the control group, the albuminuria but unimpaired renal function (ALB-CKD G1-2), albuminuria and impaired renal function (ALB-CKD G3), and normoalbuminuric CKD (NACKD) groups had decreased left ventricular (LV), right ventricular (RV), and left atrial (LA) strains, the LA contractile strain being the only statistically comparable parameter. Stepwise multiple linear regression analysis revealed varying factors independently correlating with the LV global longitudinal strain. The LA reservoir and conduit strains independently correlated with LV diastolic function in stage 3 CKD associated with comorbid albuminuria or normoalbuminuria. LV function was a partial determinant of LA and RV function in the ALB-CKD G3 group, whereas ventricular and atrial function were independent of each other in the ALB-CKD G1-2 and NACKD groups. Clinical intervention should focus on specific factors affecting cardiac function in patients to reduce the risk of CVD-related death.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Data availability

The datasets generated and/or analyzed during the current study are not publicly available due to privacy or ethical restrictions but are available from the corresponding author upon reasonable request.

References

  1. Matsushita K, Ballew SH, Wang AY et al (2022) Epidemiology and risk of cardiovascular disease in populations with chronic kidney disease. Nat Rev Nephrol 18:696–707

    Article  PubMed  Google Scholar 

  2. Patel N, Yaqoob MM, Aksentijevic D (2022) Cardiac metabolic remodelling in chronic kidney disease. Nat Rev Nephrol 18:524–537

    Article  PubMed  Google Scholar 

  3. Parfrey PS, Foley RN, Harnett JD et al (1996) Outcome and risk factors for left ventricular disorders in chronic uraemia. Nephrol Dial Transplant 11:1277–1285

    Article  CAS  PubMed  Google Scholar 

  4. Zoccali C, Benedetto FA, Mallamaci F et al (2001) Prognostic impact of the indexation of left ventricular mass in patients undergoing dialysis. J Am Soc Nephrol 12:2768–2774

    Article  PubMed  Google Scholar 

  5. Middleton RJ, Parfrey PS, Foley RN (2001) Left ventricular hypertrophy in the renal patient. J Am Soc Nephrol 12:1079–1084

    Article  PubMed  Google Scholar 

  6. Zoccali C, Mallamaci F, Tripepi G et al (2002) Norepinephrine and concentric hypertrophy in patients with end-stage renal disease. Hypertension 40:41–46

    Article  CAS  PubMed  Google Scholar 

  7. Zoccali C, Mallamaci F, Maas R et al (2002) Left ventricular hypertrophy, cardiac remodeling and asymmetric dimethylarginine (ADMA) in hemodialysis patients. Kidney Int 62:339–345

    Article  CAS  PubMed  Google Scholar 

  8. Simpson P (1983) Norepinephrine-stimulated hypertrophy of cultured rat myocardial cells is an alpha 1 adrenergic response. J Clin Invest 72:732–738

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Zoccali C, Benedetto FA, Mallamaci F et al (2004) Left ventricular mass monitoring in the follow-up of dialysis patients: prognostic value of left ventricular hypertrophy progression. Kidney Int 65:1492–1498

    Article  PubMed  Google Scholar 

  10. Cao Y, Sun XY, Zhong M et al (2019) Evaluation of hemodynamics in patients with hypertrophic cardiomyopathy by vector flow mapping: comparison with healthy subjects. Exp Ther Med 17:4379–4388

    CAS  PubMed  PubMed Central  Google Scholar 

  11. Wu D, Xuan Y, Ruan Y et al (2016) Prevalence of macro- and microvascular complications in patients with type 2 diabetes and kidney disease with or without albuminuria in a single Chinese diabetes centre. Diab Vasc Dis Res 13:21–30

    Article  CAS  PubMed  Google Scholar 

  12. Penno G, Solini A, Bonora E et al (2011) Clinical significance of nonalbuminuric renal impairment in type 2 diabetes. J Hypertens 29:1802–1809

    Article  CAS  PubMed  Google Scholar 

  13. Nohara A (2016) Epicardial adipose tissue as a predictor of plaque vulnerability in patients with mild chronic kidney disease. Circ J 2016;80:64 – 6

  14. Hassan M, Said K, Rizk H et al (2016) Segmental peri-coronary epicardial adipose tissue volume and coronary plaque characteristics. Eur Heart J Cardiovasc Imaging 17:1169–1177

    Article  PubMed  Google Scholar 

  15. Kadappu KK, Abhayaratna K, Boyd A et al (2016) Independent echocardiographic markers of cardiovascular involvement in chronic kidney disease: the value of left atrial function and volume. J Am Soc Echocardiog 29:359–367

    Article  Google Scholar 

  16. Romejko K, Rymarz A, Szamotulska K et al (2022) Serum osteoprotegerin is an independent marker of left ventricular hypertrophy, systolic and diastolic dysfunction of the left ventricle and the presence of pericardial fluid in chronic kidney disease patients. Nutrients 14:2893

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Gan GCH, Kadappu KK, Bhat A et al (2021) Left atrial strain is the best predictor of adverse cardiovascular outcomes in patients with chronic kidney disease. J Am Soc Echocardiog 34:166–175

    Article  Google Scholar 

  18. Levey AS, Eckardt KU, Dorman NM et al (2020) Nomenclature for kidney function and disease: report of a Kidney Disease: Improving Global Outcomes (KDIGO) Consensus Conference. Kidney Int 97:1117-29

  19. Levey AS, Stevens LA, Schmid CH et al (2009) A new equation to estimate glomerular filtration rate. Ann Intern Med 150:604–612

    Article  PubMed  PubMed Central  Google Scholar 

  20. Mizukoshi K, Takeuchi M, Nagata Y et al (2016) Normal values of left ventricular Mass Index assessed by Transthoracic three-Dimensional Echocardiography. J Am Soc Echocardiogr 29:51–61

    Article  PubMed  Google Scholar 

  21. Zheng X, Ran H, Ren J et al (2023) Two-dimensional speckle tracking imaging analyses of the correlations between left atrial appendage function and stroke risk in nonvalvular atrial fibrillation patients. Int J Cardiovasc Imaging Published Online December 1

  22. Pluta A, Stróżecki P, Krintus M et al (2015) Left ventricular remodeling and arterial remodeling in patients with chronic kidney disease stage 1–3. Ren Fail 37:1105–1110

    Article  PubMed  Google Scholar 

  23. Gupta J, Dominic EA, Fink JC et al (2015) Association between inflammation and cardiac geometry in chronic kidney disease: findings from the CRIC Study. PLoS On 10:e0124772

    Article  Google Scholar 

  24. Hassan MO, Duarte R, Dix-Peek T et al (2016) Correlation between volume overload, chronic inflammation, and left ventricular dysfunction in chronic kidney disease patients. Clin Nephrol 86:131–135

    Article  PubMed  Google Scholar 

  25. Demetgul H, Giray D, Delibas A et al (2018) 2D-Speckle tracking echocardiography contributes to early identification of impaired left ventricular myocardial function in children with chronic kidney disease. Cardiol Youn 28:1404–1409

    Article  Google Scholar 

  26. Lee Y, Park S, Lee S et al (2020) Lipid profiles and risk of major adverse cardiovascular events in CKD and diabetes: a nationwide population-based study[J]. PLoS ONE 15:e0231328

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Gan GCH, Bhat A, Chen HHL et al (2021) Left Atrial Reservoir strain by Speckle Tracking Echocardiography: Association with Exercise Capacity in chronic kidney disease. J Am Heart Asso 10:e017840

    Article  Google Scholar 

  28. Jia G, Aroor AR, Hill MA et al (2018) Role of renin-angiotensin-aldosterone system activation in promoting cardiovascular fibrosis and stiffness. Hypertension 72:537–548

    Article  CAS  PubMed  Google Scholar 

  29. Longobardo L, Suma V, Jain R et al (2017) Role of two-dimensional speckle-tracking echocardiography strain in the assessment of right ventricular systolic function and comparison with conventional parameters. J Am Soc Echocardiogr 30:937–946

    Article  PubMed  Google Scholar 

  30. Ohashi N, Isobe S, Ishigaki S et al (2019) Increased heart rate is associated with intrarenal renin-angiotensin system activation in chronic kidney disease patients. Clin Exp Nephrol 23:1109–1118

    Article  CAS  PubMed  Google Scholar 

  31. Cao W, Li A, Wang L et al (2015) A salt-induced reno-cerebral reflex activates renin-angiotensin systems and promotes CKD progression. J Am Soc Nephrol 26:1619–1633

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Nohara A (2016) Epicardial adipose tissue as a predictor of plaque vulnerability in patients with mild chronic kidney disease. Circ J 80:64–66

    Article  PubMed  Google Scholar 

  33. Chen YC, Lee WH, Lee MK et al (2020) Epicardial adipose tissue thickness is not associated with adverse cardiovascular events in patients undergoing haemodialysis. Sci Rep 10:6281

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We thank all the clinical staff for their support of this study.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Author information

Authors and Affiliations

Authors

Contributions

Y.L drafting the article C.T the conception and design of the study Y. L, Y. L, and L.G: Acquisition of data, or analysis and interpretation of dataY. Li drafting the article C. T revising it critically for important intellectual content, and final approval of the version to be submitted.

Corresponding author

Correspondence to Chuan Tian.

Ethics declarations

Consent to participate

Informed consent was obtained from all individual participants included in the study.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, Y., Liu, Y., Gao, L. et al. Early impact of albuminuria on cardiac function in patients with chronic kidney disease: a prospective study. Int J Cardiovasc Imaging 40, 873–885 (2024). https://doi.org/10.1007/s10554-024-03056-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10554-024-03056-4

Keywords

Navigation