Background In contrast with the setting of acute myocardial infarction, there are limited data regarding the impact of diabetes mellitus on clinical outcomes in contemporary cohorts of patients with chronic coronary syndromes. We aimed to investigate the prevalence and prognostic impact of diabetes according to geographical regions and ethnicity. Methods and results CLARIFY is an observational registry of patients with chronic coronary syndromes, enrolled across 45 countries in Europe, Asia, America, Middle East, Australia, and Africa in 2009–2010, and followed up yearly for 5 years. Chronic coronary syndromes were defined by ≥1 of the following criteria: prior myocardial infarction, evidence of coronary stenosis >50%, proven symptomatic myocardial ischaemia, or prior revascularization procedure. Among 32 694 patients, 9502 (29%) had diabetes, with a regional prevalence ranging from below 20% in Northern Europe to ∼60% in the Gulf countries. In a multivariable-adjusted Cox proportional hazards model, diabetes was associated with increased risks for the primary outcome (cardiovascular death, myocardial infarction, or stroke) with an adjusted hazard ratio of 1.28 (95% confidence interval 1.18, 1.39) and for all secondary outcomes (all-cause and cardiovascular mortality, myocardial infarction, stroke, heart failure, and coronary revascularization). Differences on outcomes according to geography and ethnicity were modest. Conclusion In patients with chronic coronary syndromes, diabetes is independently associated with mortality and cardiovascular events, including heart failure, which is not accounted by demographics, prior medical history, left ventricular ejection fraction, or use of secondary prevention medication. This is observed across multiple geographic regions and ethnicities, despite marked disparities in the prevalence of diabetes. ClinicalTrials identifier ISRCTN43070564
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
The aim of this study was to compare the levels of Galectin-3 (Gal-3) in heart failure patients at admission and discharge, and to evaluate the ability of Gal-3 at admission in predicting in-hospital mortality. A total of 111 patients were enrolled. Gal-3 and B-type natriuretic peptide (BNP) levels were measured at admission and discharge. Receiver operating characteristic analysis was used to determine the optimal cutoff values for Gal-3 and BNP, and logistic regression was used to assess the predictive ability of these biomarkers for in-hospital mortality. Gal-3 levels at discharge (24.08 ± 9.55) were significantly lower than those at admission (30.71 ± 11.22). The majority of patients (72.07%) experienced a decrease in Gal-3 levels, with a median reduction of 19.9% (interquartile range [IQR] 8.7-29.8). Gal-3 levels showed a weak correlation with BNP levels both at admission and discharge. Combining Gal-3 and BNP significantly improved the ability to predict in-hospital mortality, and including heart failure stage as a third predictor further improved the predictive accuracy. The optimal cutoff values for Gal-3 and BNP to predict in-hospital mortality were identified as 28.1 ng/mL and 1782.6 pg/mL, respectively, with moderate to good sensitivity and specificity. A median reduction of 19.9% of Gal-3 may indicate possibility to discharge. Our findings suggest that Gal-3 and BNP, when combined with heart failure stage, may be useful for predicting in-hospital mortality.
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