Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Association of home and ambulatory blood pressure variability with left ventricular mass index in chronic kidney disease patients

Abstract

Increased blood pressure (BP) variability is associated with the development of target organ damage. However, the optimal type and index of BP variability (BPV) regarding their prognostic significance is unclear. The aim of our study was to compare the association of ambulatory and home BPV with the left ventricular mass index (LVMI) in patients with chronic kidney disease (CKD). From a total of 1560 consecutive subjects, 137 hypertensive patients with CKD underwent home and ambulatory BP monitoring and echocardiographic measurements. The variability of home BP monitoring was quantified by using the standard deviation (SD), coefficient of variation (CV), and morning minus evening BP values. Ambulatory BPV was quantified using the SD, CV, and the time rate (TR) of BP variation. The univariate analysis demonstrated that day-to-day systolic SD and the 24-h TR of systolic BP (SBP) variation were significantly associated with the LVMI. The multivariate linear regression analysis showed a significant and independent association of the LVMI with the 24-h TR of SBP variation (B = 9.204, 95% CI: 1.735–16.672; p = 0.016). A 0.1-mmHg/min increase in the 24-h TR of SBP variation was associated with an increment of 9.204 g/m2 in the LVMI, even after adjustment for BP and other vascular risk factors. In conclusion, ambulatory BPV but not home BPV was associated with the LVMI in CKD patients. The 24-h TR of SBP variation was the only BPV index associated with the LVMI, independent of average BP values.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Similar content being viewed by others

References

  1. Parati G, Stergiou G, Dolan E, Bilo G. Blood pressure variability: clinical relevance and application. J Clin Hypertens. 2018;20:1133–7.

    Article  Google Scholar 

  2. Tatasciore A, Renda G, Zimarino M, Soccio M, Bilo G, Parati G, et al. Awake systolic blood pressure variability correlates with target-organ damage in hypertensive subjects. Hypertension. 2007;50:325–32.

    Article  CAS  Google Scholar 

  3. Manios E, Tsagalis G, Tsivgoulis G, Barlas G, Koroboki E, Michas F, et al. Time rate of blood pressure variation is associated with impaired renal function in hypertensive patients. J Hypertens. 2009;27:2244–8.

    Article  CAS  Google Scholar 

  4. Matsui Y, Ishikawa J, Eguchi K, Shibasaki S, Shimada K, Kario K. Maximum value of home blood pressure: a novel indicator of target organ damage in hypertension. Hypertension. 2011;57:1087–93.

    Article  CAS  Google Scholar 

  5. Hansen TW, Thijs L, Li Y, Boggia J, Kikuya M, Bjorklund-Bodegard K, et al. Prognostic value of reading-to-reading blood pressure variability over 24 h in 8938 subjects from 11 populations. Hypertension. 2010;55:1049–57.

    Article  CAS  Google Scholar 

  6. Kikuya M, Ohkubo T, Metoki H, Asayama K, Hara A, Obara T, et al. Day-by-day variability of blood pressure and heart rate at home as a novel predictor of prognosis: the Ohasama study. Hypertension. 2008;52:1045–50.

    Article  CAS  Google Scholar 

  7. Muntner P, Shimbo D, Tonelli M, Reynolds K, Arnett DK, Oparil S. The relationship between visit-to-visit variability in systolic blood pressure and all-cause mortality in the general population: findings from NHANES III, 1988 to 1994. Hypertension. 2011;57:160–6.

    Article  CAS  Google Scholar 

  8. Ryu J, Cha RH, Kim DK, Lee JH, Yoon SA, Ryu DR, et al. The clinical association of the blood pressure variability with the target organ damage in hypertensive patients with chronic kidney disease. J Korean Med Sci. 2014;29:957–64.

    Article  Google Scholar 

  9. Okada T, Nakao T, Matsumoto H, Nagaoka Y, Tomaru R, Iwasawa H, et al. Day-by-day variability of home blood pressure in patients with chronic kidney disease. Nihon Jinzo Gakkai Shi. 2008;50:588–96.

    PubMed  Google Scholar 

  10. Okada T, Matsumoto H, Nagaoka Y, Nakao T. Association of home blood pressure variability with progression of chronic kidney disease. Blood Press Monit. 2012;17:1–7.

    Article  Google Scholar 

  11. Ushigome E, Fukui M, Hamaguchi M, Senmaru T, Sakabe K, Tanaka M, et al. The coefficient variation of home blood pressure is a novel factor associated with macroalbuminuria in type 2 diabetes mellitus. Hypertens Res. 2011;34:1271–5.

    Article  CAS  Google Scholar 

  12. Levey AS, Stevens L, Schmid C, Zhang Y, Castro A, Feldman H, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009;150:604–12.

    Article  Google Scholar 

  13. O’Brien E, Parati G, Stergiou G, Asmar R, Beilin L, Bilo G, et al. European Society of Hypertension Position Paper on ambulatory blood pressure monitoring. J Hypertens. 2013;31:1731–68.

    Article  Google Scholar 

  14. Zakopoulos N, Tsivgoulis G, Barlas G, Papamichael C, Spengos K, Manios E, et al. Time rate of blood pressure variation is associated with increased common carotid artery intima-media thickness. Hypertension. 2005;45:505–12.

    Article  CAS  Google Scholar 

  15. Armstrong AC, Gidding S, Gjesdal O, Wu C, Bluemke DA, Lima JA. LV mass assessed by echocardiography and CMR, cardiovascular outcomes and medical practice. JACC Cardiovasc Imaging. 2012;5:837–48.

    Article  Google Scholar 

  16. Devereux RB, Alonso DR, Lutas EM, Gottlieb GJ, Campo E, Sachs I, et al. Echocardiographic assessment of left ventricular hypertrophy: comparison to necropsy findings. Am J Cardiol. 1986;57:450–8.

    Article  CAS  Google Scholar 

  17. Ponikowski P, Voors A, Anker S, Bueno H, Cleland J, Coats A, et al. 2016 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure. Eur Heart J. 2016;37:2129–200.

    Article  Google Scholar 

  18. Nagueh S, Smiseth O, Appleton C, Byrd B, Dokainish H, Edvardsen T, et al. Recommendations for the evaluation of left ventricular diastolic function by echocardiography: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging. J Am Soc Echocardiogr. 2016;29:277–314.

    Article  Google Scholar 

  19. Madden JM, O’Flynn AM, Fitzgerald AP, Kearney PM. Correlation between short-term BP variability and left ventricular mass index: a meta-analysis. Hypertens Res. 2016;39:171–7.

    Article  Google Scholar 

  20. Mallamaci F, Tripepi G, D’Arrigo G, Borrelli S, Garofalo C, Stanzione G, et al. Blood pressure variability, mortality and cardiovascular outcomes in chronic kidney disease patients. Clin J Am Soc Nephrol. 2019;14:233–40.

    Article  Google Scholar 

  21. Chang T, Tabada G, Yang J, Tan TC, Go AS. Visit-to-visit variability of blood pressure and death, ESRD and cardiovascular events in patients with chronic kidney disease. J Hypertens. 2016;34:244–52.

    Article  CAS  Google Scholar 

  22. Sarafidis P, Ruilope L, Loutradis C, Gorostidi M, de la Sierra A, de la Cruz JJ, et al. Blood pressure variability increases with advancing chronic kidney disease stage: a cross-sectional analysis of 16546 hypertensive patients. J Hypertens. 2018;36:1076–85.

    Article  CAS  Google Scholar 

  23. Zakopoulos N, Tsivgoulis G, Barlas G, Spengos K, Manios E, Ikonomidis I, et al. Impact of the time rate of blood pressure variation on left ventricular mass. J Hypertens. 2006;24:2071–7.

    Article  CAS  Google Scholar 

  24. Chappell DC, Varner SE, Nerem RM, Medford RM, Alexander RW. Oscillatory shear stress stimulates adhesion molecule expression in cultured human endothelium. Circ Res. 1998;82:532–9.

    Article  CAS  Google Scholar 

  25. De Keulenaer GW, Chappell DC, Ishikaza N, Nerem RM, Alexander RW, Griendling KK. Oscillatory and steady laminar shear stress differentially affect human endothelial redox state: role of a superoxide-producing NADH oxidase. Circ Res. 1998;82:1094–101.

    Article  Google Scholar 

  26. London GM. Role of arterial wall properties in the pathogenesis of systolic hypertension. Am J Hypertens. 2005;18:19S–22S.

    Article  Google Scholar 

  27. Kario K, Mitsuhashi T, Shimada K. Neurohumoral characteristics of older hypertensive patients with abnormal nocturnal blood pressure dipping. Am J Hypertens. 2002;15:531–7.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Efstathios Manios.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

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

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Manousopoulos, K., Koroboki, E., Barlas, G. et al. Association of home and ambulatory blood pressure variability with left ventricular mass index in chronic kidney disease patients. Hypertens Res 44, 55–62 (2021). https://doi.org/10.1038/s41440-020-0512-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41440-020-0512-3

Keywords

This article is cited by

Search

Quick links