An Overview of Regression Models for Adverse Events Analysis.

Over the last few years, several review articles described the adverse events analysis as sub-optimal in clinical trials. Indeed, the context surrounding adverse events analyses often imply an overwhelming number of events, a lack of power to find associations, but also a lack of specific training regarding those complex data. In randomized controlled trials or in observational studies, comparing the occurrence of adverse events according to a covariable of interest (e.

Anesthesia practices for management of labor pain and cesarean delivery in France (EPIDOL): A cross-sectional survey.

Background: This study aimed to collect obstetric anesthesia practice and patient-reported outcomes as an update to the last French Obstetric Anesthesia survey from 1996.

Methods: Maternity units were randomly selected across France and surveyed for 7 consecutive days from February, 2016, to January, 2017. Data was gathered prospectively by questionnaires filled out by patients and anesthesia providers.

Evolution of the proportion of colistin-resistant isolates in animal clinical Escherichia coli over time - A hierarchical mixture model approach.

Colistin resistance has been the subject of much attention since mcr genes encoding plasmid-mediated colistin resistance description in 2015. To date, surveillance data about resistance levels encountered in food-producing animals are scarce. In France, the Resapath dataset, consisting in a large collection of disk diffusion antibiogram results transmitted by a network of laboratories.