Monitoring of Serum Potassium and Calcium Levels in End-Stage Renal Disease Patients by ECG Depolarization Morphology

Hassaan A Bukhari1,2,3,4, Carlos Sánchez1,2, José Esteban Ruiz5

  • 1BSICoS Group, I3A Institute, IIS Aragón, University of Zaragoza, 50018 Zaragoza, Spain.

Insights

New electrocardiogram (ECG) markers derived from QRS complex morphology can non-invasively estimate serum potassium and calcium levels in patients with renal disease, aiding in arrhythmia risk prediction.

Area of Science:

  • Cardiology
  • Biomedical Engineering
  • Nephrology

Background:

  • Non-invasive monitoring of serum electrolytes (potassium [K+] and calcium [Ca2+]) is crucial for preventing arrhythmias in renal disease patients.
  • Current estimation methods have limitations, necessitating novel approaches.

Purpose of the Study:

  • To develop novel electrocardiogram (ECG) markers based on QRS complex morphology for non-invasive estimation of serum [K+] and [Ca2+].
  • To assess the performance and heart rate sensitivity of these new markers.

Main Methods:

  • ECG recordings from 29 hemodialysis patients were analyzed.
  • QRS morphology markers were computed using warping techniques and correlated with blood sample electrolyte levels.
  • Linear regression and leave-one-out cross-validation were employed to assess estimation accuracy.

Main Results:

  • QRS morphology markers strongly correlated with serum [K+] (r=0.81-0.87) and [Ca2+] (r=0.61-0.76), excluding QRS width.
  • Markers demonstrated minimal sensitivity to heart rate.
  • Multivariable models combining QRS and T wave markers achieved low relative errors for electrolyte estimation (<0.018 for [K+], <0.004 for [Ca2+]).

Conclusions:

  • QRS morphological markers enable accurate, non-invasive estimation of serum [K+] and [Ca2+] with low heart rate dependency.
  • Integrating T wave markers into multivariable models further enhances estimation performance.
  • These ECG-based markers hold potential for monitoring electrolyte levels and predicting arrhythmia risk in renal disease patients.
Abstract

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