scholarly journals Twist/untwist parameters are promising evaluators of myocardial mechanic changes in heart failure patients with preserved ejection fraction

2020 ◽  
Vol 43 (6) ◽  
pp. 587-593
Author(s):  
Yi Zhang ◽  
Shen‐Yi Li ◽  
Juan‐Juan Xie ◽  
Yuan Wu
Keyword(s):  
Heart Failure ◽  
Ejection Fraction ◽  
Preserved Ejection Fraction ◽  
Heart Failure Patients ◽  
Myocardial Mechanic

Galectin-3 in Heart Failure – Linking Fibrosis, Remodelling and Progression

2010 ◽  
Vol 6 (2) ◽  
pp. 33 ◽  
Author(s):  
Christopher R deFilippi ◽  
G Michael Felker ◽  
◽  
Keyword(s):  
Heart Failure ◽  
Ejection Fraction ◽  
Risk Stratification ◽  
Cardiac Fibrosis ◽  
The Elderly ◽  
Preserved Ejection Fraction ◽  
Heart Failure Patients ◽  
Large Populations ◽  
Galectin 3

For many with heart failure, including the elderly and those with a preserved ejection fraction, both risk stratification and treatment are challenging. For these large populations and others there is increasing recognition of the role of cardiac fibrosis in the pathophysiology of heart failure. Galectin-3 is a novel biomarker of fibrosis and cardiac remodelling that represents an intriguing link between inflammation and fibrosis. In this article we review the biology of galectin-3, recent clinical research and its application in the management of heart failure patients.

Mismatch between right- and left-sided filling pressures in heart failure patients with preserved ejection fraction

2018 ◽  
Vol 257 ◽  
pp. 143-149 ◽  
Author(s):  
Yu Horiuchi ◽  
Shuzou Tanimoto ◽  
Jiro Aoki ◽  
Nozomi Fuse ◽  
Kazuyuki Yahagi ◽  
...  
Keyword(s):  
Heart Failure ◽  
Ejection Fraction ◽  
Preserved Ejection Fraction ◽  
Heart Failure Patients

P2610Increase in comfortable walking speed during hospitalization predicts the readmission due to decompensated heart failure in heart failure patients with preserved ejection fraction

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
M Tabata ◽  
M Kato ◽  
N Hamazaki ◽  
T Masuda
Keyword(s):  
Heart Failure ◽  
Logistic Regression ◽  
Ejection Fraction ◽  
Exercise Capacity ◽  
Walking Speed ◽  
Decompensated Heart Failure ◽  
Preserved Ejection Fraction ◽  
Functional Classification ◽  
Multivariate Logistic Regression ◽  
Heart Failure Patients

Abstract Background Heart failure patients with preserved ejection fraction (HFpEF) have reduced exercise capacity and poor prognosis as well as those with reduced ejection fraction (HFrEF). Both cardiac function and exercise capacity have been known as prognostic factors for patients with HFrEF. However, few reports documented the relations of comfortable walking speed (CWS) during hospitalization to exercise capacity and prognosis. is used as a clinical measure to assess their exercise capacity and prognosis. However, few reports documented the correlations of CWS with exercise capacity and prognosis in patients with HFpEF. Purpose This study aimed to investigate whether CWS at hospital discharge and the increase in CWS during hospitalization predicted the readmission due to decompensated heart failure in patients with HFpEF and HFrEF. Methods Patients who were hospitalized due to heart failure with New York Heart Association (NYHA) Functional Classification III or IV were prospectively followed up for 3 years after hospital discharge. Consequently, 264 patients, 173 males and 92 females, aged 73.2±6.8 years were studied. Patients were divided into 3 groups based on their ejection fraction (EF): HFpEF group (EF≥50%; n=98), HFrEF group (EF<40%; n=138) and heart failure with mid-range ejection fraction (HFmrEF) group (40%≤EF≤49%; n=28). We assessed clinical characteristics including age, gender, height, NYHA functional classification, etiology of CHF, plasma brain natriuretic peptide and left ventricular ejection fraction (LVEF) on admission, and measured CWS several days after admission and at discharge. We determined significant factors affecting the readmission and their cut-off values using univariate and multivariate logistic regression analyses and the area under the receiver operating characteristics curves in the three groups. Results Forty patients (40.8%), 54 (39.1%) and 6 (21.4%) were readmitted in the HFpEF, HFrEF and HFmrEF groups, respectively, within 3 years after the discharge. Univariate logistic regression analysis detected the age, LVEF, CWS at discharge and the CWS increase during hospitalization as significant limiting factors for readmission in the HFpEF and HFrEF groups (P<0.05, respectively). The multivariate logistic regression analysis detected the CWS increase during hospitalization as significant limiting factor for readmission in the HFpEF and HFrEF groups (P<0.001 and P<0.05, respectively). The odds ratios of readmission were 1.86 (P<0.01) and 1.44 (P<0.001) with each 5-meter decrease of CWS increase during hospitalization and predictive cut-off values of the CWS increase were 7.5 and 8.5 meters/min in the HFpEF and HFrEF groups, respectively. Conclusion This study demonstrated that the CWS increase during hospitalization was a strong predictor for readmission due to decompensated heart failure in patients not only with HFrEF but also with HFpEF and each predictive the cut-off value was 7.5 and 8.5 meters/min.

Effects of glycemic control on in-hospital mortality among acute heart failure patients with reduced, mid-range, and preserved ejection fraction

2018 ◽  
Vol 33 (9) ◽  
pp. 1022-1028 ◽  
Author(s):  
Kenichi Matsushita ◽  
Kazumasa Harada ◽  
Tetsuro Miyazaki ◽  
Takamichi Miyamoto ◽  
Kiyoshi Iida ◽  
...  
Keyword(s):  
Heart Failure ◽  
Glycemic Control ◽  
Ejection Fraction ◽  
Hospital Mortality ◽  
Acute Heart Failure ◽  
Preserved Ejection Fraction ◽  
Heart Failure Patients
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