Electrical Changes in Polish Patients with Chronic Heart Failure: Preliminary Observations

Medicina (Kaunas). 2019 Aug 15;55(8):484. doi: 10.3390/medicina55080484.

Abstract

Introduction: Direct parameters resistance (R), reactance (Xc), phase angle (PA), capacitance of membrane (Cm), and impedance ratio (Z200/Z5)) determined by bioelectrical impedance analysis (BIA) detect changes in tissue electrical properties and have been found to be a marker of cell membrane function in various diseases. Materials and Method: The cross-sectional study was conducted to investigate whether direct bioimpedance parameters differ in a group of heart failure (HF) patients divided on the basis of the New York Heart Association (NYHA) functional classes I-II and III-IV. BIA was evaluated in 100 patients with HF treated in Clinic of Cardiology and Internal Medicine, Department of Cardiology, Military Hospital, Lublin. Results: In men, lower PA values (p = 0.01), Xc (p < 0.01), Cm (p = 0.02), and higher values of the Z200/Z5 ratio (p < 0.01) were observed in patients classified into NYHA groups III and IV in comparison to those with lower stages of disease. Similar correlations were noted in women (only Cm differences were insignificant). In addition, in men, C-Reactive Protein (CRP) correlated negatively with PA (p < 0.01), Xc (p < 0.01), and Cm (p < 0.01) and positively with the Z200/Z5 index (p < 0.01). There were no similar correlations observed in women. Conclusion: Patients with advanced CHF have altered electrical values. Changes in electrical values may directly reflect tissues as well as the whole-body condition.

Keywords: bioelectrical impedance analysis (BIA); chronic heart failure (CHF); electrical changes; phase angle (PA).

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Biomarkers / analysis
  • Chronic Disease
  • Cross-Sectional Studies
  • Electric Impedance*
  • Female
  • Heart / physiopathology
  • Heart Conduction System / physiopathology*
  • Heart Failure / physiopathology*
  • Humans
  • Male
  • Middle Aged
  • Poland

Substances

  • Biomarkers