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Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
Published on: February 13, 2021
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.
Abstract:
Heart failure remains a major global health challenge, characterized by high morbidity, mortality, and economic burden despite continuous advances in therapy. This review summarizes landmark clinical trials that have shaped current approaches to device therapy in heart failure, including implantable cardioverter-defibrillators, cardiac resynchronization therapy, and emerging conduction system pacing. In addition, it discusses novel prognostic and monitoring methods such as impedance cardiography and dobutamine stress echocardiography, which enable more precise patient assessment. Based on the available clinical data, we propose a new four-step decision algorithm for personalised device therapy selection in heart failure, integrating etiology-specific risk stratification, electrical and functional evaluation, and prognostic modifiers. The integration of evidence-based interventions and phenotype-driven decision-making supports a proactive and individualized approach to improving outcomes and quality of life in patients with heart failure.
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