Myocardial relaxation, left ventricular filling, and exercise capacity in older subjects with dyspnea

With aging, left ventricular (LV) early diastolic lengthening declines. Delayed or dyssynchronous untwisting and relaxation may slow and reduce filling and contribute to elevated diastolic pressures. Segmental variations in the timing of early diastolic relaxation may impair LV suction during exercise and impact LV stroke volume reserve, especially in heart failure with preserved ejection fraction (HFpEF). To determine possible mechanisms causing dyspnea, we investigated 106 subjects aged ≥60 years, including 38 patients with HFpEF, and 26 breathless, 19 hypertensive, and 23 healthy controls, at rest and during submaximal exercise stress echocardiography. Global and regional early diastolic function were assessed by LV isovolumic relaxation time (IVRT), the deceleration time (DT) and propagation velocity of mitral inflow, and segmental variations in times to peak early diastolic myocardial velocity (e'). Global IVRT and DT were similar between groups at rest and during stress. During exercise, increments in mean segmental e' were similar between groups while times to peak e' shortened variably, being 13-20% longer in the mid-septal and 30-35% longer in the mid-lateral segments in HFpEF than in healthy or hypertensive subjects (p<0.001). There were moderate inverse correlations between time to peak e' and LV inflow velocity, cardiac output on exercise, and 6-minute walk distance (ρ -0.42, p<0.001). Slower early diastolic relaxation on exercise is associated with less stroke volume reserve and reduced exercise capacity. Machine learning might be able to identify subtle changes in timing of relaxation as a diagnostic or therapeutic target in subjects with HFpEF.

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Publication Details

Journal
American Journal of Physiology-Heart and Circulatory Physiology
Published
2026-05-11
DOI
https://doi.org/10.1152/ajpheart.00940.2025
Primary Topic
Cardiovascular Function and Risk Factors
Type
article
Field-Weighted Citation Impact
0.00

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article

Myocardial relaxation, left ventricular filling, and exercise capacity in older subjects with dyspnea

Paolo Marino, Bart Bijnens, Tamas Erdei, Imran D Sunderji et al.
American Journal of Physiology-Heart and Circulatory Physiology
Cardiovascular Function and Risk Factors
article

Myocardial relaxation, left ventricular filling, and exercise capacity in older subjects with dyspnea

Paolo Marino, Bart Bijnens, Tamas Erdei, Imran D Sunderji, Guy Lloyd, Alan G Fraser
article en

Abstract

With aging, left ventricular (LV) early diastolic lengthening declines. Delayed or dyssynchronous untwisting and relaxation may slow and reduce filling and contribute to elevated diastolic pressures. Segmental variations in the timing of early diastolic relaxation may impair LV suction during exercise and impact LV stroke volume reserve, especially in heart failure with preserved ejection fraction (HFpEF). To determine possible mechanisms causing dyspnea, we investigated 106 subjects aged ≥60 years, including 38 patients with HFpEF, and 26 breathless, 19 hypertensive, and 23 healthy controls, at rest and during submaximal exercise stress echocardiography. Global and regional early diastolic function were assessed by LV isovolumic relaxation time (IVRT), the deceleration time (DT) and propagation velocity of mitral inflow, and segmental variations in times to peak early diastolic myocardial velocity (e'). Global IVRT and DT were similar between groups at rest and during stress. During exercise, increments in mean segmental e' were similar between groups while times to peak e' shortened variably, being 13-20% longer in the mid-septal and 30-35% longer in the mid-lateral segments in HFpEF than in healthy or hypertensive subjects (p<0.001). There were moderate inverse correlations between time to peak e' and LV inflow velocity, cardiac output on exercise, and 6-minute walk distance (ρ -0.42, p<0.001). Slower early diastolic relaxation on exercise is associated with less stroke volume reserve and reduced exercise capacity. Machine learning might be able to identify subtle changes in timing of relaxation as a diagnostic or therapeutic target in subjects with HFpEF.

American Journal of Physiology-Heart and Circulatory Physiology
Institució Catalana de Recerca i Estudis Avançats (ES), Università degli Studi del Piemonte Orientale “Amedeo Avogadro” (IT), University of London (GB), St Bartholomew's Hospital (GB), Universitat Pompeu Fabra (ES), Castle Hill Hospital (GB), University College London (GB), Centers for Medicare and Medicaid Services (US), Cardiff University (GB)
European Society of Cardiology, HORIZON EUROPE Framework Programme
Good health and well-being
Openalex Percentile: Top 8%
Cardiovascular Function and Risk Factors
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