High-intensity interval training (HIIT) is a novel training approach that improves cardiopulmonary fitness and functional capacity in numerous chronic conditions, however its impact in patients with heart failure (HF) with preserved ejection fraction (HFpEF) is uncertain. We evaluated data from prior studies reporting the effects of HIIT versus moderate continuous training (MCT), on cardiopulmonary exercise outcomes in patients with HFpEF. PubMed and SCOPUS were queried from inception till February 1st, 2022 for all randomized controlled trials (RCT) comparing the effect of HIIT versus MCT in patients with HFpEF on peak oxygen consumption (peak VO), left atrial volume index (LAVI), respiratory exchange ratio (RER), and ventilatory efficiency (VE/CO slope). A random-effects model was applied, and the weighted mean difference (WMD) of each outcome was reported with 95% confidence intervals (CI). Three RCTs (total N = 150 patients with HFpEF), with a follow-up of 4 to 52 weeks were included in our analysis. Our pooled analysis demonstrated that HIIT significantly improved peak VO (WMD = 1.46 mL/kg/min (0.88, 2.05); P < 0.00001; I = 0%), as compared to MCT. However, no statistically significant change was demonstrated for LAVI (WMD = -1.71 mL/m (-5.58, 2.17); P = 0.39; I = 22%), RER (WMD = -0.10 (-0.32, 0.12); P = 0.38; I = 0%), and VE/CO slope (WMD = 0.62 (-1.99, 3.24); P = 0.64; I = 67%) in patients with HFpEF. Across current RCT data, HIIT, compared to MCT, had a significant impact on improving peak VO. Conversely, there was no significant change in LAVI, RER, and VE/CO slope between HFpEF patients undertaking HIIT as opposed to MCT.
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http://dx.doi.org/10.1016/j.cpcardiol.2023.101720 | DOI Listing |
Clin Res Cardiol
January 2025
Department of Cardiology, Medical School Theodor Fontane, University Hospital Ruppin-Brandenburg, Neuruppin, Germany.
Background: Heart failure (HF) is a heterogeneous clinical syndrome affecting a growing global population. Due to the high incidence of cardiovascular risk factors, a large proportion of the Western population is at risk for heart failure. Oxidative stress and inflammation play a crucial role in the pathophysiology of heart failure with preserved ejection fraction (HFpEF).
View Article and Find Full Text PDFSci Rep
January 2025
Intensive Care Medicine, Heyou Hospital, Foshan, 528306, Guangdong, China.
Heart failure with preserved ejection fraction (HFpEF) emerges as a singular subclass of heart failure, bereft of specific therapeutic options. Magnesium, an indispensable trace element, is essential to the preservation of cardiac integrity. However, the association between magnesium supplementation and mortality in HFpEF patients remains unclear.
View Article and Find Full Text PDFBMJ Open
December 2024
Department of Public Health and Primary Care, University of Cambridge School of Clinical Medicine, Cambridge, UK
Aim: As heart failure (HF) with preserved ejection fraction (HFpEF) prevalence increases, it remains frequently underdiagnosed and poorly managed. Recent positive pharmacological trials have increased interest in HFpEF but challenges of diagnosis and management remain. The survey aim was to examine consensus between primary and secondary care providers regarding HFpEF diagnosis and management.
View Article and Find Full Text PDFHeart Fail Rev
January 2025
Department of Cardiology, Cardiology I, University Medical Center Mainz, Langenbeckstrasse 1, 55131, Mainz, Germany.
Heart failure is a prevalent global health issue. Heart failure with preserved ejection fraction (HFpEF), which already represents half of all heart cases worldwide, is projected to further increase, driven by aging populations and rising cardiovascular risk factors. Effective therapies for HFpEF remain limited, particularly due to its pathophysiological heterogeneity and incomplete understanding of underlying pathomechanisms and implications.
View Article and Find Full Text PDFJACC Asia
December 2024
Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital at Linkou, and Chang Gung University College of Medicine, Taoyuan, Taiwan.
Background: Few studies have incorporated echocardiography and laboratory data to predict clinical outcomes in heart failure with preserved ejection fraction (HFpEF).
Objectives: This study aimed to use machine learning to find predictors of heart failure (HF) hospitalization and cardiovascular (CV) death in HFpEF.
Methods: From the Chang Gung Research Database in Taiwan, 6,092 HFpEF patients (2,898 derivation, 3,194 validation) identified between 2008 and 2017 were followed until 2019.
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