Although screen assistance does not prevent all image traumas, especially those that are likely to disturb the youngest children, it does help to anticipate them and reduce their impact. This is why the protection of minors against the dangers of images requires three series of measures a reform of public broadcasting, in particular the composition and role of classification panels; more comprehensive information for parents; training for teachers, school psychologists, socio-cultural workers and educators. As part of their initial and ongoing training, all should be trained in the issue of images and their reception by children.The maison des adolescents du Cher has been identified by the State to intervene at the local level to prevent the radicalisation of young people, as part of a collaborative work with other actors. This ambitious scheme questions the relationships and mobilisation of the various authorities and institutional structures. It poses an interesting challenge in terms of the implementation of intervention methods while respecting individual freedoms and protecting the population.Since March 2017, minors returning from the terrorist groups’ operation areas benefit from a medical and psychological assessment by referral centres throughout France. At the Avicenne hospital in Bobigny (AP-HP, 93), a team assesses the children of jihadists who land at Paris-Roissy-Charles-de-Gaulle airport. This evaluation raises unprecedented clinical questions and confronts professionals with challenges related to the history of these children and the context of their return.Faced with the challenge of the children of jihadists who have joined the terrorist organisation Islamic State, France has set up an innovative and multidisciplinary system. It is strongly based on child protection law. In particular, it provides for a complete assessment to be carried out in hospital, as well as the schooling of these minors and their accompaniment by professionals from different spheres.International research literature documented two red threads of extreme violence, identified misogyny and dehumanisation as the roots of extreme and violent ideologies, and revealed that support for violence against women predicts support for violent extremism more than any other factor. Research evidence documented the lasting impact of violence against women and children. Considering the place and markers of domestic violence in violent extremist trajectories means to address their driving processes and the continuum of violence characterized by constant, cumulative, non-episodic strategies used by aggressors to control and dominate the victims.

This study sought to investigate whether shape-based late gadolinium enhancement (LGE) metrics and simulations of re-entrant electrical activity are associated with arrhythmic events in patients with nonischemic dilated cardiomyopathy (NIDCM).

The presence of LGE predicts life-threatening ventricular arrhythmias in NIDCM; however, risk stratification remains imprecise. LGE shape and simulations of electrical activity may be able to provide additional prognostic information.

Cardiac magnetic resonance (CMR)-LGE shape metrics were computed for a cohort of 156 patients with NIDCM and visible LGE and tested retrospectively for an association with an arrhythmic composite endpoint of sudden cardiac death and ventricular tachycardia. Computational models were created from images and used in conjunction with simulated stimulation protocols to assess the potential for re-entry induction in each patient’s scar morphology. A mechanistic analysis of the simulations was carried out to explain the associations.

Dured with an elevated risk of major arrhythmic events in patients with NIDCM and LGE and represent novel risk predictors.

This study sought to determine the remote monitoring (RM) alert burden in a multicenter cohort of patients with a cardiac implantable electronic device (CIED).

RM of CIEDs allows timely recognition of patient and device events requiring intervention. Most RM involves burdensome manual workflow occurring exclusively on weekdays during office hours. Automated software may reduce such a burden, streamlining real-time alert responses.

We retrospectively analyzed 26,713 consecutive patients with a CIED undergoing managed RM utilizing PaceMate software between November 2018 and November 2019. Alerts were analyzed according to type, acuity (red indicates urgent, and yellow indicates nonurgent) and CIED category.

In total, 12,473 (46.7%) patients had a permanent pacemaker (PPM), 9,208 (34.5%) had an implantable cardioverter-defibrillator (ICD), and 5,032 (18.8%) had an implantable loop recorder (ILR). Overall, 82,797 of the 205,804 RM transmissions were alerts, with the remainder being scheduled transmissionsf transmissions and the growing ILR alert burden highlight the need for new management pathways for RM.

The goal of this study was to develop a risk score model for patients with Brugada syndrome (BrS).

Risk stratification in BrS is a significant challenge due to the low event rates and conflicting evidence.

A multicenter international cohort of patients with BrS and no previous cardiac arrest was used to evaluate the role of 16 proposed clinical or electrocardiogram (ECG) markers in predicting ventricular arrhythmias (VAs)/sudden cardiac death (SCD) during follow-up. Predictive markers were incorporated into a risk score model, and this model was validated by using out-of-sample cross-validation.

A total of 1,110 patients with BrS from 16 centers in 8 countries were included (mean age 51.8 ± 13.6 years; 71.8% male). Median follow-up was 5.33 years; 114 patients had VA/SCD (10.3%) with an annual event rate of 1.5%. Of the 16 proposed risk factors, probable arrhythmia-related syncope (hazard ratio [HR] 3.71; p<0.001), spontaneous type1 ECG (HR 3.80; p<0.001), early repolarization (HR 3.42; p<0.001), and a type 1 Brugada ECG pattern in peripheral leads (HR 2.33; p<0.001) were associated with a higher risk of VA/SCD. C75 molecular weight A risk score model incorporating these factors revealed a sensitivity of 71.2% (95% confidence interval 61.5% to 84.6%) and a specificity of 80.2% (95%confidence interval 75.7% to 82.3%) in predicting VA/SCD at 5 years. Calibration plots showed a mean prediction error of 1.2%. The model was effectively validated by using out-of-sample cross-validation according to country.

This multicenter study identified 4 risk factors for VA/SCD in a primary prevention BrS population. Arisk score model was generated to quantify risk of VA/SCD in BrS and inform implantable cardioverter-defibrillator prescription.

This multicenter study identified 4 risk factors for VA/SCD in a primary prevention BrS population. A risk score model was generated to quantify risk of VA/SCD in BrS and inform implantable cardioverter-defibrillator prescription.