Spreading of infection on temporal networks: an edge-centered perspective

We discuss a continuous-time extension of the contact-based (CB) model, as proposed in [Koher et al. Phys. Rev. X 9, 031017 (2019)], for infections with permanent immunity on temporal networks. At the core of our methodology is a fundamental change to an edge-centered perspective, which allows for an accurate model on temporal networks, where the underlying time-aggregated graph has a tree structure. From the continuous-time CB model, we derive the infection propagator for the low prevalence limit and propose a novel spectral criterion to estimate the epidemic threshold. In addition, we explore the relation between the continuous-time CB model and the previously proposed edge-based compartmental model, as well as the message-passing framework

Percutaneous treatment of patients with heart diseases: selection, guidance and follow-up. A review

Aortic stenosis and mitral regurgitation, patent foramen ovale, interatrial septal defect, atrial fibrillation and perivalvular leak, are now amenable to percutaneous treatment. These percutaneous procedures require the use of Transthoracic (TTE), Transesophageal (TEE) and/or Intracardiac echocardiography (ICE). This paper provides an overview of the different percutaneous interventions, trying to provide a systematic and comprehensive approach for selection, guidance and follow-up of patients undergoing these procedures, illustrating the key role of 2D echocardiography

Meta-Analysis of Predictors of All-Cause Mortality After Transcatheter Aortic Valve Implantation.

The aim of this study was to identify predictors of 30-day and midterm mortality after transcatheter aortic valve implantation (TAVI) by means of a systemic review. TAVI was demonstrated to be safe and efficacious in patients with severe aortic stenosis. An accurate estimation of procedural risk of these patients represents an actual challenge. The PubMed and Cochrane Collaboration databases were systematically searched for studies reporting on the incidence and independent predictors of 30-day and midterm mortality. Adverse events were pooled with random effect, whereas independent predictors are reported as odds ratios (ORs) with 95% confidence intervals (CIs). A total of 25 studies with 8,874 patients were included (median age 82.5 ± 1.5 years, 54.6% women). At 30 days, 7.5% of patients (n = 663) died. At midterm follow-up (median 365 days, interquartile range 267 to 365 days), the cumulative mortality rate was 21.6% (n = 1,917). Acute kidney injury (AKI) stage ≥2 (OR 18.0, 95% CI 6.3 to 52), preprocedural hospitalization for heart failure (OR 9.4, 95% CI 2.6 to 35), periprocedural acute myocardial infarction (OR 8.5, 95% CI 2.6 to 33.5), and increased pro-brain natriuretic peptide (pro-BNP) levels (OR 5.4, 95% CI 1.7 to 16.5) were the most important independent predictors of 30-day mortality. Increased pro-BNP levels (OR 11, 95% CI 1.5 to 81), AKI stage 3 (OR 6.8, 95% CI 2.6 to 15.7), left ventricular ejection fraction <30% (OR 6.7, 95% CI 3.5 to 12.7), and periprocedural acute myocardial infarction (OR 6.5, 95% CI 2.3 to 18.1) represented the predictors of midterm mortality. In conclusion, in this large meta-analysis of patients undergoing TAVI, we found that high pro-BNP levels and postprocedural AKI were the strongest independent predictors of both 30-day and 1-year mortality. These findings may contribute to a better understanding of the risk assessment process of patients undergoing TAVI

Meta-Analysis of Predictors of All-Cause Mortality After Transcatheter Aortic Valve Implantation

The aim of this study was to identify predictors of 30-day and midterm mortality after transcatheter aortic valve implantation (TAVI) by means of a systemic review. TAVI was demonstrated to be safe and efficacious in patients with severe aortic stenosis. An accurate estimation of procedural risk of these patients represents an actual challenge. The PubMed and Cochrane Collaboration databases were systematically searched for studies reporting on the incidence and independent predictors of 30-day and midterm mortality. Adverse events were pooled with random effect, whereas independent predictors are reported as odds ratios (ORs) with 95% confidence intervals (CIs). A total of 25 studies with 8,874 patients were included (median age 82.5 +/- 1.5 years, 54.6% women). At 30 days, 7.5% of patients (n = 663) died. At midterm follow-up (median 365 days, interquartile range 267 to 365 days), the cumulative mortality rate was 21.6% (n = 1,917). Acute kidney injury (AM) stage >= 2 (OR 18.0, 95% CI 6.3 to 52), preprocedural hospitalization for heart failure (OR 9.4, 95% CI 2.6 to 35), periprocedural acute myocardial infarction (OR 8.5, 95% CI 2.6 to 33.5), and increased pro-brain natriuretic peptide (pro-BNP) levels (OR 5.4, 95% CI 1.7 to 16.5) were the most important independent predictors of 30-day mortality. Increased proBNP levels (OR 11, 95% CI 1.5 to 81), AKI stage 3 (OR 6.8, 95% CI 2.6 to 15.7), left ventricular ejection fraction <30% (OR 6.7, 95% CI 3.5 to 12.7), and periprocedural acute myocardial infarction (OR 6.5, 95% CI 2.3 to 18.1) represented the predictors of midterm mortality. In conclusion, in this large meta-analysis of patients undergoing TAVI, we found that high pro-BNP levels and postprocedural AKI were the strongest independent predictors of both 30-day and 1-year mortality. These findings may contribute to a better understanding of the risk assessment process of patients undergoing TAVI. (C) 2014 Elsevier Inc. All rights reserved