The number of deaths in France will increase over the coming years

International audienceThe population of France has grown by more than half over the last 70 years and has increased in age. While the number of deaths should logically have risen, two factors explain why it has remained practically constant throughout the period: the increase in life expectancy, and the entry into extreme old age of the depleted cohorts born during the First World War. Their disappearance and the ageing of the large baby boom cohorts will push up the number of deaths in the coming yearsLa population de la France a augmenté de plus de moitié depuis 70 ans et a vieilli, ce qui aurait dû entraîner une hausse du nombre annuel de décès. Deux facteurs expliquent qu’ils se soient maintenus à peu près constants au cours de cette période : l’augmentation de la durée de vie et l’arrivée aux grands âges des classes creuses nées pendant la Première Guerre mondiale. Leur extinction et l’arrivée à ces âges des générations nombreuses du baby-boom vont entraîner une hausse des décès dans les prochaines années

Le nombre de décès va augmenter en France dans les prochaines années

International audienceThe population of France has grown by more than half over the last 70 years and has increased in age. While the number of deaths should logically have risen, two factors explain why it has remained practically constant throughout the period: the increase in life expectancy, and the entry into extreme old age of the depleted cohorts born during the First World War. Their disappearance and the ageing of the large baby boom cohorts will push up the number of deaths in the coming years.La population de la France a augmenté de plus de moitié depuis 70 ans et a vieilli, ce qui aurait dû entraîner une hausse du nombre annuel de décès. Deux facteurs expliquent qu'ils se soient maintenus à peu près constants au cours de cette période : l'augmentation de la durée de vie et l'arrivée aux grands âges des classes creuses nées pendant la Première Guerre mondiale. Leur extinction et l'arrivée à ces âges des générations nombreuses du baby-boom vont entraîner une hausse des décès dans les prochaines années

Learning a Factor Model via Regularized PCA

We consider the problem of learning a linear factor model. We propose a regularized form of principal component analysis (PCA) and demonstrate through experiments with synthetic and real data the superiority of resulting estimates to those produced by pre-existing factor analysis approaches. We also establish theoretical results that explain how our algorithm corrects the biases induced by conventional approaches. An important feature of our algorithm is that its computational requirements are similar to those of PCA, which enjoys wide use in large part due to its efficiency

Development of a Multivariate Prediction Model for Early-Onset Bronchiolitis Obliterans Syndrome and Restrictive Allograft Syndrome in Lung Transplantation.

Chronic lung allograft dysfunction and its main phenotypes, bronchiolitis obliterans syndrome (BOS) and restrictive allograft syndrome (RAS), are major causes of mortality after lung transplantation (LT). RAS and early-onset BOS, developing within 3 years after LT, are associated with particularly inferior clinical outcomes. Prediction models for early-onset BOS and RAS have not been previously described. LT recipients of the French and Swiss transplant cohorts were eligible for inclusion in the SysCLAD cohort if they were alive with at least 2 years of follow-up but less than 3 years, or if they died or were retransplanted at any time less than 3 years. These patients were assessed for early-onset BOS, RAS, or stable allograft function by an adjudication committee. Baseline characteristics, data on surgery, immunosuppression, and year-1 follow-up were collected. Prediction models for BOS and RAS were developed using multivariate logistic regression and multivariate multinomial analysis. Among patients fulfilling the eligibility criteria, we identified 149 stable, 51 BOS, and 30 RAS subjects. The best prediction model for early-onset BOS and RAS included the underlying diagnosis, induction treatment, immunosuppression, and year-1 class II donor-specific antibodies (DSAs). Within this model, class II DSAs were associated with BOS and RAS, whereas pre-LT diagnoses of interstitial lung disease and chronic obstructive pulmonary disease were associated with RAS. Although these findings need further validation, results indicate that specific baseline and year-1 parameters may serve as predictors of BOS or RAS by 3 years post-LT. Their identification may allow intervention or guide risk stratification, aiming for an individualized patient management approach

Integrating new approaches to atrial fibrillation management: the 6th AFNET/EHRA Consensus Conference.

There are major challenges ahead for clinicians treating patients with atrial fibrillation (AF). The population with AF is expected to expand considerably and yet, apart from anticoagulation, therapies used in AF have not been shown to consistently impact on mortality or reduce adverse cardiovascular events. New approaches to AF management, including the use of novel technologies and structured, integrated care, have the potential to enhance clinical phenotyping or result in better treatment selection and stratified therapy. Here, we report the outcomes of the 6th Consensus Conference of the Atrial Fibrillation Network (AFNET) and the European Heart Rhythm Association (EHRA), held at the European Society of Cardiology Heart House in Sophia Antipolis, France, 17-19 January 2017. Sixty-two global specialists in AF and 13 industry partners met to develop innovative solutions based on new approaches to screening and diagnosis, enhancing integration of AF care, developing clinical pathways for treating complex patients, improving stroke prevention strategies, and better patient selection for heart rate and rhythm control. Ultimately, these approaches can lead to better outcomes for patients with AF

The European TeleCheck-AF project on remote app-based management of atrial fibrillation during the COVID-19 pandemic: Centre and patient experiences

Aims: TeleCheck-AF is a multicentre international project initiated to maintain care delivery for patients with atrial fibrillation (AF) during COVID-19 through teleconsultations supported by an on-demand photoplethysmography-based heart rate and rhythm monitoring app (FibriCheck® ). We describe the characteristics, inclusion rates and experiences from participating centres according the TeleCheck-AF infrastructure as well as characteristics and experiences from recruited patients.Methods: Three surveys exploring centre characteristics (n=25), centre experiences (n=23) and patient experiences (n=826) were completed. Self-reported patient characteristics were obtained from the app.Results: Most centres were academic (64%) and specialized public cardiology/district hospitals (36%). Majority of centres had AF outpatient clinics (64%) and only 36% had AF ablation clinics. The time required to start patient inclusion and total number of included patients in the project was comparable for centres experienced (56%) or inexperienced in mHealth use. Within 28 weeks, 1930 AF patients were recruited, mainly for remote AF control (31% of patients) and AF ablation follow-up (42%). Average inclusion rate was highest during the lockdown restrictions and reached a steady state at a lower level after easing the restrictions (188 vs 52 weekly recruited patients). Majority (>80%) of the centres reported no problems during the implementation of the TeleCheck-AF approach. Recruited patients (median age 64 [55-71], 62% male) agreed that the FibriCheck® app was easy to use (94%).Conclusions: Despite different health care settings and mHealth experiences, the TeleCheck-AF approach could be set up within an extremely short time and easily used in different European centres during COVID-19