Nutrition in chronic heart failure patients: a systematic review

2019 ◽  
Vol 25 (6) ◽  
pp. 1017-1026 ◽  
Author(s):  
Vittorio Emanuele Bianchi
Keyword(s):  
Heart Failure ◽  
Systematic Review ◽  
Chronic Heart Failure ◽  
Heart Failure Patients

Quality of life of chronic heart failure patients: a systematic review and meta-analysis

2019 ◽  
Vol 25 (6) ◽  
pp. 993-1006 ◽  
Author(s):  
Mandana Moradi ◽  
Fereshteh Daneshi ◽  
Razieh Behzadmehr ◽  
Hosien Rafiemanesh ◽  
Salehoddin Bouya ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Heart Failure ◽  
Systematic Review ◽  
Chronic Heart Failure ◽  
Meta Analysis ◽  
Heart Failure Patients

scholarly journals Galectin-3 in Predicting Mortality of Heart Failure: A Systematic Review and Meta-Analysis

2021 ◽  
Vol 24 (2) ◽  
pp. E327-E332
Author(s):  
Chenxia Wu ◽  
Zhengtian Lv ◽  
Xinyi Li ◽  
Xinbing Zhou ◽  
Wei Mao ◽  
...  
Keyword(s):  
Heart Failure ◽  
Systematic Review ◽  
Chronic Heart Failure ◽  
Cardiac Fibrosis ◽  
Inflammatory Marker ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Heart Failure Patients ◽  
Galectin 3 ◽  
The Cochrane Library

Background: In recent years, galectin-3, an inflammatory marker, has been demonstrated to be closely related to cardiac fibrosis and heart failure. The purpose of this systematic review and meta-analysis is to define galectin-3 in predicting mortality of heart failure. Methods: PubMed, Embase, and the Cochrane Library were searched. A total of 1540 studies were identified, and of these studies, 19 involving 9217 patients were included in our meta-analysis. Results: The diagnostic hazard ratios of galectin-3 in predicting mortality in chronic heart failure patients was 1.13 (95% CI,:1.07-1.21 ) and 2.17 (95% CI:1.27-3.08) in acute heart failure (HF) patients. Conclusions: Our meta-analysis shows that elevated levels of galectin-3 are associated with higher mortality in both acute and chronic heart failure patients.

Risk scores and prediction models in chronic heart failure: a systematic review

2020 ◽  
Vol 26 ◽  
Author(s):  
Maria Toumpourleka ◽  
Dimitrios Patoulias ◽  
Alexandra Katsimardou ◽  
Michael Doumas ◽  
Christodoulos Papadopoulos
Keyword(s):  
Heart Failure ◽  
Systematic Review ◽  
Chronic Heart Failure ◽  
Ejection Fraction ◽  
Prediction Models ◽  
Grey Literature ◽  
Risk Scores ◽  
Original Research ◽  
Significant Heterogeneity ◽  
Heart Failure Patients

Background: Heart failure affects a substantial proportion of the adult population, with an estimated prevalence of 1-2% in developed countries. Over the previous decades many prediction models have been introduced for this specific population in an attempt to better stratify and manage heart failure patients. Objective: The aim of this study is the systematic review of recent, relevant literature regarding risk scores or prediction models in ambulatory patients with an established diagnosis of chronic heart failure. Methods: We conducted a systematic search of the literature in PubMed and CENTRAL from their inception up till December 2019 for studies assessing the performance of risk scores and prediction models and original research studies. Grey literature was searched as well. This review is reported in accordance with the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement. Results: We included 16 eligible studies in this systematic review. Major heart failure risk scores derived from large heart failure populations were among the included studies. Due to significant heterogeneity regarding the main endpoints, direct comparison of the included prediction scores was inevitable. The majority referred to patients with heart failure with reduced ejection fraction, while only two out of 16 prediction scores have been developed exclusively for heart failure patients with preserved ejection fraction. Ischemic heart disease was the most common aetiology of heart failure in the included studies. Finally, more than half of the prediction scores have not been externally validated. Conclusion: Prediction models aiming at heart failure patients with a preserved or mid-range ejection fraction are lacking. Prediction scores incorporating recent advances in pharmacotherapy should be developed in the future.

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