1,721,004 research outputs found
The role of allogeneic hematopoietic stem cell transplantation in the four P medicine era
No full textEndothelial progenitor cells in patients with coronary artery disease and left ventricular dysfunction
No full textComparison of Access-Related Bleeding Complications in Women Versus Men Undergoing Percutaneous Coronary Catheterization Using the Radial Versus Femoral Artery
No full textThe development of an international, common, prospective, cardiology database. Report of the joint G8 Cardio-Associazione Nazionale Medici Cardiologi Ospedalieri (ANMCO)--Societe Francaise de Cardiologie (SFC) database committee
No full textA prognostic index for risk stratification for acute heart failure and death in subjects with ischemic cardiomyopathy and cardiac defibrillator
No full textTo propose a clinical prognostic index for death and heart failure in patients with ischemic cardiomyopathy implanted with an ICD. This prospective study included 192 consecutive patients (age 68 ± 10) recruited from 2004 to 2009 and implanted with an ICD for MADIT II criteria. All patients performed 24-h ambulatory blood pressure monitoring after discharge and common haematological samples. The prognostic index (PI) was built according to the formula: 120 - age + mean 24 h systolic blood pressure - (creatinine * 10). Other variables were assessed: EF, haemoglobin concentration, mean 24 h heart rate and diastolic blood pressure, sodium level, pacing mode and diabetes. Non-arrhythmic cardiac death and new hospitalizations for heart failure during 1-year follow-up were the combined end point. A total of 48 events (25 %) occurred during the follow-up: 7 cardiac deaths and 41 hospitalizations for acute heart failure. Cox proportionalhazards model showed that PI was the only predictor of
events (HR = 0.96; CI 95 % 0.944–0.976, p<0.0001). ROC curve showed that PI best cut-off was 144, with AUC 0.79, p<0.0001; sensitivity 77 %, specificity 74 %, positive predictive value 50 %, negative predictive value 90 %. PI was predictive of events in a clinical setting where EF had no predictive value. PI works according to the rule ‘‘the lower the worse’’. The high negative predictive value (90 %) of PI allows to identify subjects at
lower risk for death and heart failure. PI can be a practical
tool to stratify risk in ischemic cardiomyopathy
A new prognostic index for acute heart failure and non- arrhythmic death in subjects with a cardiac defibrillator and ischemic cardiomyopathy
No full textSubjects suffering from ischemic cardiomyopathy receiving a defibrillator (ICD) are still at high risk of heart failure and non-arrhythmic death. Predictors of increased risk are lacking in these patients. In a preliminary study in patients receiving an ICD for MADIT II criteria we found that age, 24 hour Systolic blood pressure, measured by Ambulatory blood pressure monitoring and creatinine, were independent predictors for acute decompensated heart failure and cardiac non arrhythmic death, while ejection fraction (EF), evaluated by 2D echo, was not predictive. In the present study we combined the same predictor factors in a Prognostic Index (PI) built according to the formula: 120 - age + m24hSBP - (creatinine*10). This PI was prospectively evaluated in 192 patients (all with ICD for MADIT II criteria and ischemic cardiomyopathy) for the combined endpoint of non-arrhythmic death and hospitalization for acute heart failure, in one year follow-up. Other variables assessed included EF, hemoglobin concentration, 24 hour mean heart rate, sodium levels, biventricular pacing and diabetes. We have registered 48 events (25%) in one year follow-up: 7 cardiac deaths and 41 hospitalizations for acute heart failure. The Cox multivariate analysis showed that low values of PI are the only independent predictor of events ( HR= 0.96; CI 95% 0.944-0.976, p 0.0001). Interestingly, in these patients with reduced ventricular function, EF was not predictive of new events, while PI was significantly associated with new events (acute heart failure and non arrhythmic death). PI is easy to calculate and could be applied in clinical practice to stratify this very high risk population
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Safety of drug eluting stents in patients on chronic anticoagulation using long-term single antiplatelet treatment with clopidogrel
No full textSafety and Efficacy of Short-Term Celecoxib Before Elective Percutaneous Coronary Intervention for Stable Angina Pectoris
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