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Introduction: Orthotopic heart transplantation is the gold standard for the treatment of advanced heart failure in the absence of contraindications. Infective endocarditis is a rare complication in patients after heart transplantation. The treatment of endocarditis after heart transplantation is challenging since there is a need for ongoing immunosuppression. Case description: We present the case of a 51-year-old orthotopic heart transplant recipient enrolled in a chronic dialysis program, in whom we diagnosed and successfully treated recurrent infective endocarditis of the mitral valve caused by Enterococcus and Enterobacter species. Despite the complicated course of the disease, the treatment was successful. Conclusions: Recurrent infective endocarditis after heart transplantation can be treated successfully with a multidisciplinary approach and robust antimicrobial therapy.

Background: Atrial fibrillation (AF) is associated with high risk of stroke preventable by timely initiation of anticoagulation. Currently available screening tools based on ECG are not optimal due to inconvenience and high costs. Aim of this study was to study the diagnostic value of apelin for AF in patients with high risk of stroke.Methods: We designed a multicenter, matched-cohort study. The population consisted of three study groups: a healthy control group (34 patients) and two matched groups of 60 patients with high risk of stroke (AF and non-AF group). Apelin levels were examined from peripheral blood.Results: Apelin was significantly lower in AF group compared to non-AF group (0.694 ± 0.148 vs. 0.975 ± 0.458 ng/ml, p = 0.001) and control group (0.982 ± 0.060 ng/ml, p < 0.001), respectively. Receiver operating characteristic (ROC) analysis of apelin as a predictor of AF scored area under the curve (AUC) of 0.658. Apelin's concentration of 0.969 [ng/ml] had sensitivity = 0.966 and specificity = 0.467. Logistic regression based on manual feature selection showed that only apelin and NT-proBNP were independent predictors of AF. Logistic regression based on selection from bivariate analysis showed that only apelin was an independent predictor of AF. A logistic regression model using repeated stratified K-Fold cross-validation strategy scored an AUC of 0.725 ± 0.131.Conclusions: Our results suggest that apelin might be used to rule out AF in patients with high risk of stroke.