Predictors of infection after "de novo" cardiac electronic device implantation.

BACKGROUND: Cardiac implantable electronic device (CIED) infection is a major complication that increases morbidity and mortality after the procedure. Several infection risk scores have been suggested to identify patients at higher pre-procedural risk of infection OBJECTIVE: this study sought to evaluate rates of infection, potential risk factors and the role of a modified "Shariff" score as predictor of infection in high-risk patients undergoing de novo CIED implantation. METHODS AND RESULTS: We retrospectively analysed 1391 patients underwent a de novo CIED procedure during the study period. At the median follow-up of 48 months, 20 patients of 1391 (1.4%) developed a CIED-related infective event. In our population, we studied a modified version of the "Shariff" score for only first-time implant patients. At multivariate regression analysis, three factors were independent predictors of infection: previous pocket hematoma [RR 27.2 (8.30-54.02), p = 10-10], a Shariff Score ≥ 4 [RR 3.20 (1.29-12.59), p= 0.029]. and reintervention for catheter malfunction or dislocation [RR 3.57 (1.2-37.4), p= 0.048]. CONCLUSIONS: a "Shariff" score > 4 is suggested as a predictor of higher risk of infection in patients after de novo device implantation. The use of an infection risk score may help to improve tailored pre-operatory strategies to prevent infection.

Predictors of cardiac arrhythmic events in non coronary artery disease patients.

Arrhythmic sudden cardiac death (SCD) represents a major worldwide public health problem accounting for 15-20% of deaths. Risk stratification to identify patients at risk of SCD is crucial in order to implement preventive measures in the general population. Several biomarkers have been tested exploring different pathophysiological mechanisms of cardiac conditions. Conflicting results have been described limiting so far their use in clinical practice. The use of new biomarkers such as microRNAs and sex hormones and the emerging role of genetic on risk prediction of SCD is a current research topic showing promising results.This review outlines the role of plasma biomarkers to predict ventricular arrhythmias and SCD in non coronary artery disease with a special focus on their relationship with the genetic biomarkers.