International Urology and Nephrology

, Volume 45, Issue 5, pp 1397–1403 | Cite as

Associations between bioelectrical impedance parameters and cardiovascular events in chronic dialysis patients

  • Aline de Araujo Antunes
  • Francieli Delatim Vannini
  • Liciana Vaz de Arruda Silveira
  • Pasqual Barretti
  • Luis Cuadrado Martin
  • Jacqueline Costa Teixeira CaramoriEmail author
Nephrology - Original Paper



Malnutrition and fluid overload contribute to the poor cardiovascular prognosis of dialysis patients. Since bioelectrical impedance analysis is an option for the evaluation of body composition and for the monitoring of hydration state, it may assist in the identification of subjects at high cardiovascular risk. The objective of this study was to evaluate the association between bioelectrical impedance parameters and cardiovascular events.


The association between bioelectrical impedance parameters and fatal and non-fatal cardiovascular outcome was evaluated in 145 dialysis patients.


The mean age of the population studied was 54.9 ± 15.4 years, 49.7 % were males, and 35.9 % had diabetes. Forty (27.6 %) patients developed cardiovascular events during the 16 months (8; 32) of follow-up. Comparison of patients with and without cardiovascular events revealed higher extracellular mass/body cell mass (ECM/BCM) and extracellular water/total body water ratios and higher C-reactive protein levels in the former. Survival analysis showed that an ECM/BCM ratio >1.2 and a phase angle <6° were associated with poor cardiovascular prognosis. Among nondiabetic patients, these parameters and capacitance were independently associated with cardiovascular events, suggesting that poor nutritional status and fluid overload are associated with the occurrence of these events.


Phase angle, capacitance and ECM/BCM ratio are valuable parameters for the evaluation of cardiovascular prognosis, supporting the use of bioelectrical impedance for the clinical assessment of dialysis patients.


Cardiovascular Dialysis Bioelectrical impedance Prognosis 


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Copyright information

© Springer Science+Business Media Dordrecht 2012

Authors and Affiliations

  • Aline de Araujo Antunes
    • 1
  • Francieli Delatim Vannini
    • 1
  • Liciana Vaz de Arruda Silveira
    • 2
  • Pasqual Barretti
    • 1
  • Luis Cuadrado Martin
    • 1
  • Jacqueline Costa Teixeira Caramori
    • 1
    Email author
  1. 1.Department of Internal Medicine, Botucatu Medical SchoolSão Paulo State University-UNESPBotucatuBrazil
  2. 2.Department of Biostatistics, Institute of BioscienceSão Paulo State University-UNESPBotucatuBrazil

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