scholarly journals 0153: Galectin 3 for risk stratification in ambulatory heart failure patients

2016 ◽  
Vol 8 (1) ◽  
pp. 24
Author(s):  
Nils Kuster ◽  
Corentin Curinier ◽  
Jean-Marc Davy ◽  
Florence Leclercq ◽  
Jean-Luc Pasquie ◽  
...  
2010 ◽  
Vol 6 (2) ◽  
pp. 33 ◽  
Author(s):  
Christopher R deFilippi ◽  
G Michael Felker ◽  
◽  

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.


2013 ◽  
Author(s):  
Wawrzyniak Andrew J. ◽  
Kerry S. Whittaker ◽  
Sarah M. Godoy ◽  
Kristie M. Harris ◽  
Maria N. Banis ◽  
...  

2017 ◽  
pp. 101-106
Author(s):  
Thi Thanh Hien Bui ◽  
Hieu Nhan Dinh ◽  
Anh Tien Hoang

Background: Despite of considerable advances in its diagnosis and management, heart failure remains an unsettled problem and life threatening. Heart failure with a growing prevalence represents a burden to healthcare system, responsible for deterioration of patient’s daily activities. Galectin-3 is a new cardiac biomarker in prognosis for heart failure. Serum galectin-3 has some relation to heart failure NYHA classification, acute coronary syndrome and clinical outcome. Level of serum galectin-3 give information for prognosis and help risk stratifications in patient with heart failure, so intensive therapeutics can be approached to patients with high risk. Objective: To examine plasma galectin-3 level in hospitalized heart failure patients, investigate the relationship between galectin-3 level with associated diseases, clinical conditions and disease progression in hospital. Methodology: Cross sectional study. Result: 20 patients with severe heart failure as NYHA classification were diagnosed by The ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure (2012) and performed blood test for serum galectin-3 level. Increasing of serum galectin-3 level have seen in all patients, mean value is 36.5 (13.7 – 74.0), especially high level in patient with acute coronary syndrome and patients with severe chronic kidney disease. There are five patients dead. Conclusion: Serum galectin-3 level increase in patients with heart failure and has some relation to NYHA classification, acute coronary syndrome. However, level of serum galectin-3 can be affected by severe chronic kidney disease, more research is needed on this aspect Key words: Serum galectin-3, heart failure, ESC Guidelines, NYHA


Author(s):  
Vincenzo Castiglione ◽  
Alberto Aimo ◽  
Giuseppe Vergaro ◽  
Luigi Saccaro ◽  
Claudio Passino ◽  
...  

AbstractHeart failure (HF) is a significant cause of morbidity and mortality worldwide. Circulating biomarkers reflecting pathophysiological pathways involved in HF development and progression may assist clinicians in early diagnosis and management of HF patients. Natriuretic peptides (NPs) are cardioprotective hormones released by cardiomyocytes in response to pressure or volume overload. The roles of B-type NP (BNP) and N-terminal pro-B-type NP (NT-proBNP) for diagnosis and risk stratification in HF have been extensively demonstrated, and these biomarkers are emerging tools for population screening and as guides to the start of treatment in subclinical HF. On the contrary, conflicting evidence exists on the role of NPs as a guide to HF therapy. Among the other biomarkers, high-sensitivity troponins and soluble suppression of tumorigenesis-2 are the most promising biomarkers for risk stratification, with independent value to NPs. Other biomarkers evaluated as predictors of adverse outcome are galectin-3, growth differentiation factor 15, mid-regional pro-adrenomedullin, and makers of renal dysfunction. Multi-marker scores and genomic, transcriptomic, proteomic, and metabolomic analyses could further refine HF management.


2015 ◽  
Vol 65 (10) ◽  
pp. A773
Author(s):  
Giulia Magnani ◽  
Michelle O’Donoghue ◽  
Eugene Braunwald ◽  
Dylan Steen ◽  
Petr Jarolim ◽  
...  

2012 ◽  
Vol 18 (10) ◽  
pp. S179
Author(s):  
Shinpei Kadowaki ◽  
Tetsuro Shishido ◽  
Taro Narumi ◽  
Yoichiro Otaki ◽  
Yuuki Honda ◽  
...  

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