Back to Search
Start Over
The H 2 FPEF and HFA-PEFF algorithms for predicting exercise intolerance and abnormal hemodynamics in heart failure with preserved ejection fraction.
- Source :
-
Scientific reports [Sci Rep] 2022 Jan 07; Vol. 12 (1), pp. 13. Date of Electronic Publication: 2022 Jan 07. - Publication Year :
- 2022
-
Abstract
- Exercise intolerance is a primary manifestation in patients with heart failure with preserved ejection fraction (HFpEF) and is associated with abnormal hemodynamics and a poor quality of life. Two multiparametric scoring systems have been proposed to diagnose HFpEF. This study sought to determine the performance of the H <subscript>2</subscript> FPEF and HFA-PEFF scores for predicting exercise capacity and echocardiographic findings of intracardiac pressures during exercise in subjects with dyspnea on exertion referred for bicycle stress echocardiography. In a subset, simultaneous expired gas analysis was performed to measure the peak oxygen consumption (VO <subscript>2</subscript> ). Patients with HFpEF (n = 83) and controls without HF (n = 104) were enrolled. The H <subscript>2</subscript> FPEF score was obtainable for all patients while the HFA-PEFF score could not be calculated for 23 patients (feasibility 88%). Both H <subscript>2</subscript> FPEF and HFA-PEFF scores correlated with a higher E/e' ratio (r = 0.49 and r = 0.46), lower systolic tricuspid annular velocity (r = - 0.44 and = - 0.24), and lower cardiac output (r = - 0.28 and r = - 0.24) during peak exercise. Peak VO <subscript>2</subscript> and exercise duration decreased with an increase in H <subscript>2</subscript> FPEF scores (r = - 0.40 and r = - 0.32). The H <subscript>2</subscript> FPEF score predicted a reduced aerobic capacity (AUC 0.71, p = 0.0005), but the HFA-PEFF score did not (p = 0.07). These data provide insights into the role of the H <subscript>2</subscript> FPEF and HFA-PEFF scores for predicting exercise intolerance and abnormal hemodynamics in patients presenting with exertional dyspnea.<br /> (© 2022. The Author(s).)
- Subjects :
- Aged
Aged, 80 and over
Algorithms
Dyspnea diagnosis
Dyspnea diagnostic imaging
Echocardiography, Stress
Exercise Tolerance
Female
Heart Failure diagnosis
Heart Failure diagnostic imaging
Hemodynamics
Humans
Male
Middle Aged
Quality of Life
Stroke Volume
Dyspnea physiopathology
Heart Failure physiopathology
Subjects
Details
- Language :
- English
- ISSN :
- 2045-2322
- Volume :
- 12
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Scientific reports
- Publication Type :
- Academic Journal
- Accession number :
- 34996984
- Full Text :
- https://doi.org/10.1038/s41598-021-03974-6