scholarly journals Impact of a Telehealth and Care Management Program on All-Cause Mortality and Healthcare Utilization in Patients with Heart Failure

2016 ◽  
Vol 22 (1) ◽  
pp. 2-11 ◽  
Author(s):  
David P. Kao ◽  
JoAnn Lindenfeld ◽  
Dendy Macaulay ◽  
Howard G. Birnbaum ◽  
John L. Jarvis ◽  
...  
2019 ◽  
Vol 31 (2) ◽  
pp. 241-247
Author(s):  
Silvia Netti Tiozzo ◽  
Cristina Basso ◽  
Giulia Capodaglio ◽  
Elena Schievano ◽  
Matilde Dotto ◽  
...  

2017 ◽  
Vol 23 (8) ◽  
pp. S80
Author(s):  
Mark R. Stampehl ◽  
Stephen Henry Jennison ◽  
Claire Call ◽  
Susan Hickey ◽  
Shantanu Sarkar ◽  
...  

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
C Johnsen ◽  
M Sengeloev ◽  
P Joergensen ◽  
N Bruun ◽  
D Modin ◽  
...  

Abstract Background Novel echocardiographic software allows for layer-specific evaluation of myocardial deformation by 2-dimensional speckle tracking echocardiography. Endocardial, epicardial- and whole wall global longitudinal strain (GLS) may be superior to conventional echocardiographic parameters in predicting all-cause mortality in patients with heart failure with reduced ejection fraction (HFrEF). Purpose The purpose of this study was to investigate the prognostic value of endocardial-, epicardial- and whole wall GLS in patients with HFrEF in relation to all-cause mortality. Methods We included and analyzed transthoracic echocardiographic examinations from 1,015 patients with HFrEF. The echocardiographic images were analyzed, and conventional and novel echocardiographic parameters were obtained. A p value in a 2-sided test <0.05 was considered statistically significant. Cox proportional hazards regression models were constructed, and both univariable and multivariable hazard ratios (HRs) were calculated. Results During a median follow-up time of 40 months, 171 patients (16.8%) died. A lower endocardial (HR 1.17; 95% CI (1.11–1.23), per 1% decrease, p<0.001), epicardial (HR 1.20; 95% CI (1.13–1.27), per 1% decrease, p<0.001), and whole wall (HR 1.20; 95% CI (1.14–1.27), per 1% decrease, p<0.001) GLS were all associated with higher risk of death (Figure 1). Both endocardial (HR 1.12; 95% CI (1.01–1.23), p=0.027), epicardial (HR 1.13; 95% CI (1.01–1.26), p=0.040) and whole wall (HR 1.13; 95% CI (1.01–1.27), p=0.030) GLS remained independent predictors of mortality in the multivariable models after adjusting for significant clinical parameters (age, sex, total cholesterol, mean arterial pressure, heart rate, ischemic cardiomyopathy, percutaneous transluminal coronary angioplasty and diabetes) and conventional echocardiographic parameters (left ventricular (LV) ejection fraction, LV mass index, left atrial volume index, deceleration time, E/e', E-velocity, E/A ratio and tricuspid annular plane systolic excursion). No other echocardiographic parameters remained an independent predictors after adjusting. Furthermore, endocardial, epicardial and whole wall GLS had the highest C-statistics of all the echocardiographic parameters. Conclusion Endocardial, epicardial and whole wall GLS are independent predictors of all-cause mortality in patients with HFrEF. Furthermore, endocardial, epicardial and whole wall GLS were superior prognosticators of all-cause mortality compared with all other echocardiographic parameters. Funding Acknowledgement Type of funding source: Public hospital(s). Main funding source(s): Herlev and Gentofte Hospital


2021 ◽  
pp. 1-8
Author(s):  
Huiyang Li ◽  
Peng Zhou ◽  
Yikai Zhao ◽  
Huaichun Ni ◽  
Xinping Luo ◽  
...  

Abstract Objective: The aim of this meta-analysis was to investigate the association between malnutrition assessed by the controlling nutritional status (CONUT) score and all-cause mortality in patients with heart failure. Design: Systematic review and meta-analysis. Settings: A comprehensively literature search of PubMed and Embase databases was performed until 30 November 2020. Studies reporting the utility of CONUT score in prediction of all-cause mortality among patients with heart failure were eligible. Patients with a CONUT score ≥2 are grouped as malnourished. Predictive values of the CONUT score were summarized by pooling the multivariable-adjusted risk ratios (RR) with 95 % CI for the malnourished v. normal nutritional status or per point CONUT score increase. Participants: Ten studies involving 5196 patients with heart failure. Results: Malnourished patients with heart failure conferred a higher risk of all-cause mortality (RR 1·92; 95 % CI 1·58, 2·34) compared with the normal nutritional status. Subgroup analysis showed the malnourished patients with heart failure had an increased risk of in-hospital mortality (RR 1·78; 95 % CI 1·29, 2·46) and follow-up mortality (RR 2·01; 95 % CI 1·58, 2·57). Moreover, per point increase in CONUT score significantly increased 16% risk of all-cause mortality during the follow-up. Conclusions: Malnutrition defined by the CONUT score is an independent predictor of all-cause mortality in patients with heart failure. Assessment of nutritional status using CONUT score would be helpful for improving risk stratification of heart failure.


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