Advanced impulsive differential equations with piecewise constant arguments

We prove the existence and uniqueness of the solutions of a class of first order nonhomogeneous advanced impulsive differential equations with piecewise constant arguments. We also study the conditions of periodicity, oscillation, nonoscillation and global asymptotic stability for some special cases. First published online: 09 Jun 201

ADVANCED IMPULSIVE DIFFERENTIAL EQUATIONS WITH PIECEWISE CONSTANT ARGUMENTS

We prove the existence and uniqueness of the solutions of a class of first order nonhomogeneous advanced impulsive differential equations with piecewise constant arguments. We also study the conditions of periodicity, oscillation, nonoscillation and global asymptotic stability for some special cases. First published online: 09 Jun 201

Red cell distribution width predicts mortality in infective endocarditis

SummaryBackgroundInfective endocarditis (IE) is associated with significant morbidity and mortality. Red cell distribution width (RDW) is a recently recognized biomarker of adverse outcome in a number of acute and chronic conditions.AimTo investigate the relationship between RDW and 1-year survival in patients with IE.MethodsClinical records from two tertiary centres were used to analyze data from patients with definite IE. Clinical, echocardiographic and biochemical variables were evaluated along with RDW. One-year survival status after index hospitalization was identified for each patient.ResultsOne hundred consecutive patients (mean age 47.8±16.7years; 61% men) with definite IE were enrolled. According to receiver operating characteristic curve analysis, the optimal RDW cut-off value for predicting mortality was 15.3% (area under the curve 0.70; P=0.001). Forty-one patients (41%) died within 1year; of these, 88% had RDW results>15.3%. Univariate Cox proportional-hazards analysis showed that RDW>15.3%, heart failure, renal failure, cardiac abscess, severe valvular regurgitation and presence of dehiscence were associated with increased mortality. Multivariable Cox proportional-hazards analysis revealed that renal failure (hazard ratio [HR] 3.21, 95% confidence interval [CI] 1.35–7.59; P=0.008), heart failure (HR 2.77, 95% CI 1.1–6.97; P=0.03) and RDW>15.3% (HR 3.07, 95% CI 1.06–8.86; P=0.03) were independent predictors of mortality in patients with IE.ConclusionAccording to our results, mortality is high in patients with IE. RDW is a promising biomarker for predicting 1-year survival rates in these patients