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Updated: Jan 7, 2026

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
Published on: February 13, 2021
Heart Failure with Preserved Ejection Fraction (HFpEF), Pulse Wave Velocity, and Heart Rate Recovery
Bogdan-Simion Suciu1,2,3,4, Vladiana Romina Turi5,6, Simina Crisan2,3,4
1Doctoral School, "Victor Babeș" University of Medicine and Pharmacy, 300041 Timisoara, Romania.
Abstract:
Background/Objectives: Heart failure with preserved ejection fraction (HFpEF) accounts for nearly half of all heart failure cases and remains challenging to diagnose and manage due to its complex, multifactorial nature. Increasing evidence highlights the significance of arterial stiffness, assessed by pulse wave velocity (PWV), and autonomic dysfunction, reflected by impaired heart rate recovery (HRR) after exercise, as relevant markers in HFpEF. This review aims to synthesize current knowledge on the diagnostic and prognostic value of PWV and HRR in HFpEF. Methods: A narrative literature review was conducted using PubMed to identify studies published between 2009 and 2025 that investigated PWV and HRR in patients with HFpEF or populations at risk. Included studies ranged from invasive hemodynamic measurements and cardiopulmonary exercise tests to large cohort analyses such as IDENTIFY-HF and MESA. Key findings were summarized in comparative tables. Results: Patients with HFpEF consistently show higher PWV than age-matched controls, supporting the concept of HFpEF as a systemic vascular disorder. Elevated PWV has been linked to increased risk of HFpEF onset and poorer outcomes. Likewise, blunted HRR indicates autonomic imbalance and is strongly associated with higher morbidity and mortality. Interventions including structured exercise training and optimized risk factor management may help improve PWV and HRR. Conclusions: PWV and HRR offer valuable, complementary insights for risk stratification and individualized care in HFpEF. Further research should focus on integrating these parameters into diagnostic algorithms and evaluating targeted therapies that address vascular stiffness and autonomic dysfunction.
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