Personalised treatment strategies in heart failure: A literature review and new proposed algorithm for device therapy

Lucie Kohoutkova1,2, Martin Augustynek1, Henryk Szymeczek3

  • 1Department of Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Ostrava, Czech Republic.

Insights

This review details landmark trials and novel methods for heart failure device therapy. A new algorithm aids personalized selection of implantable cardioverter-defibrillators and cardiac resynchronization therapy for better patient outcomes.

Area of Science:

  • Cardiology
  • Medical Devices
  • Clinical Trials

Background:

  • Heart failure (HF) presents a significant global health burden with high morbidity and mortality.
  • Despite therapeutic advancements, HF management remains challenging.
  • Device therapy plays a crucial role in improving outcomes for HF patients.

Purpose of the Study:

  • To review landmark clinical trials in heart failure device therapy.
  • To discuss novel prognostic and monitoring methods for precise patient assessment.
  • To propose a new algorithm for personalized device therapy selection in heart failure.

Main Methods:

  • Review of key clinical trials on implantable cardioverter-defibrillators (ICDs) and cardiac resynchronization therapy (CRT).
  • Discussion of emerging technologies like conduction system pacing.
  • Exploration of prognostic tools including impedance cardiography and dobutamine stress echocardiography.

Main Results:

  • Landmark trials have established the efficacy of ICDs and CRT in specific HF populations.
  • Novel monitoring techniques offer enhanced precision in patient evaluation.
  • A proposed four-step algorithm integrates risk stratification, electrical/functional assessment, and prognostic factors for tailored therapy.

Conclusions:

  • Personalized device therapy selection is crucial for optimizing heart failure management.
  • Integrating evidence-based interventions with phenotype-driven decisions improves patient quality of life.
  • The proposed algorithm facilitates a proactive, individualized approach to heart failure care.

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