Association of Burnout and Intention-To-Leave the Job With Objective Nursing Workload and Nursing Working Environment: A Cross-Sectional Study Among Intensive Care Nurses.

Aim: The objectives of this study were to determine the prevalence of burnout risk and intention-to-leave among intensive care unit (ICU) nurses and analyse the association of these with workload and work environment.

Design: A cross-sectional survey of nurses working in ICUs was conducted in France between 15 January 2024 and 15 April 2024 alongside a longitudinal assessment of workload during the same period.

Methods: ICU nurse workload was assessed using the Nursing Activities Score (NAS).

Factors influencing the turnover of nurses in French intensive care unit-A multicenter interview survey.

Background: Nurse retention is a major concern in healthcare settings, especially among intensive care units (ICU), in which nurses are highly specialized. The objective was to describe the nurse courses after their entrance into the ICU, their motivation for leaving the ICU, and to identify the independent factors that influenced the nurse resignation from their units.

Methods: In 3 different centers, every ICU nurse working between 2013 and 2023 was telephonically contacted and was asked to describe their career and, when appropriate, the reasons that influenced their resignation from their units; they rated on a Likert scale of 14 factors that influenced their decision.

The identification of extensive samples of motor units in human muscles reveals diverse effects of neuromodulatory inputs on the rate coding.

Movements are performed by motoneurons transforming synaptic inputs into an activation signal that controls muscle force. The control signal emerges from interactions between ionotropic and neuromodulatory inputs to motoneurons. Critically, these interactions vary across motoneuron pools and differ between muscles.

COVACPREG, a French prospective cohort study of women vaccinated against COVID-19 during pregnancy.

The objective of this cohort study was to describe the French population of pregnant women vaccinated against coronavirus disease 2019 (COVID-19), their pregnancy outcomes and the health status of their newborns (malformation rate, neonatal diseases, etc.), and to proactively collect and analyze reported adverse reactions over time. We conducted a prospective study using an online questionnaire.

NeuroMotion: Open-source platform with neuromechanical and deep network modules to generate surface EMG signals during voluntary movement.

Neuromechanical studies investigate how the nervous system interacts with the musculoskeletal (MSK) system to generate volitional movements. Such studies have been supported by simulation models that provide insights into variables that cannot be measured experimentally and allow a large number of conditions to be tested before the experimental analysis. However, current simulation models of electromyography (EMG), a core physiological signal in neuromechanical analyses, remain either limited in accuracy and conditions or are computationally heavy to apply.

[Post-traumatic growth of critical care nursing teams after the Covid-19 pandemic].

As the negative psychological impact of Covid-19 is no longer in doubt, the aim of the study presented here was to quantify the post-traumatic growth (PTC) of caregivers working in critical care. To this end, a paper questionnaire was distributed in the critical care department of the Lyon-Sud hospital. Among the care team, 67% had developed PTC, showing that despite the difficulties experienced during the trauma, the team had managed to grow from this crisis.

The EFEMEREYE Study: prenatal medication exposure and ocular anomaly occurrence in EFEMERIS health database.

Purpose: To describe ocular anomalies (OAs) in children and fetuses in a French general population, to estimate their prevalence, and to investigate a possible association between prenatal medication exposure and the occurrence of OA in utero or in early childhood.

Methods: We conducted a case-control study using the EFEMERIS cohort, a database containing pregnancies registered in Haute-Garonne and their outcomes. We collected OA descriptions of fetuses at the time of pregnancy termination or of children at birth and the results of eye examinations of children at 9 months and 2 years of age.

NeuroMechanics: Electrophysiological and computational methods to accurately estimate the neural drive to muscles in humans in vivo.

The ultimate neural signal for muscle control is the neural drive sent from the spinal cord to muscles. This neural signal comprises the ensemble of action potentials discharged by the active spinal motoneurons, which is transmitted to the innervated muscle fibres to generate forces. Accurately estimating the neural drive to muscles in humans in vivo is challenging since it requires the identification of the activity of a sample of motor units (MUs) that is representative of the active MU population.

Motoneuron-driven computational muscle modelling with motor unit resolution and subject-specific musculoskeletal anatomy.

The computational simulation of human voluntary muscle contraction is possible with EMG-driven Hill-type models of whole muscles. Despite impactful applications in numerous fields, the neuromechanical information and the physiological accuracy such models provide remain limited because of multiscale simplifications that limit comprehensive description of muscle internal dynamics during contraction. We addressed this limitation by developing a novel motoneuron-driven neuromuscular model, that describes the force-generating dynamics of a population of individual motor units, each of which was described with a Hill-type actuator and controlled by a dedicated experimentally derived motoneuronal control.

Larger and Denser: An Optimal Design for Surface Grids of EMG Electrodes to Identify Greater and More Representative Samples of Motor Units.

The spinal motor neurons are the only neural cells whose individual activity can be noninvasively identified. This is usually done using grids of surface electromyographic (EMG) electrodes and source separation algorithms; an approach called EMG decomposition. In this study, we combined computational and experimental analyses to assess how the design parameters of grids of electrodes influence the number and the properties of the identified motor units.

Burnout Syndrome During COVID-19 Second Wave on ICU Caregivers.

Objective: The main objective of this article is to evaluate the prevalence of burnout syndrome (BOS) among the Intensive Care Unit (ICU) healthcare workers.

Methods: The COVID-impact study is a study conducted in 6 French intensive care units. Five units admitting COVID patient and one that doesn't admit COVID patients.

Refractory invasive pulmonary aspergillosis due to Aspergillus flavus detected with the combination of two in-house Aspergillus qPCR.

We present a case of probable invasive pulmonary aspergillosis due to Aspergillus flavus, in a female patient treated for an acute myeloid leukemia. Two weeks after an allogenic stem cell transplantation a probable invasive pulmonary aspergillosis was diagnosed based on thoracic imaging combined with positive galactomannan antigen and positive in-house mitochondrial Aspergillus qPCR in serum. Although an antifungal treatment was initiated, Aspergillus qPCR and galactomannan antigen remained positive in serum and worsening of the thoracic lesions was observed.

Estimation of the firing behaviour of a complete motoneuron pool by combining electromyography signal decomposition and realistic motoneuron modelling.

Our understanding of the firing behaviour of motoneuron (MN) pools during human voluntary muscle contractions is currently limited to electrophysiological findings from animal experiments extrapolated to humans, mathematical models of MN pools not validated for human data, and experimental results obtained from decomposition of electromyographical (EMG) signals. These approaches are limited in accuracy or provide information on only small partitions of the MN population. Here, we propose a method based on the combination of high-density EMG (HDEMG) data and realistic modelling for predicting the behaviour of entire pools of motoneurons in humans.

Mathematical relationships between spinal motoneuron properties.

Our understanding of the behaviour of spinal alpha-motoneurons (MNs) in mammals partly relies on our knowledge of the relationships between MN membrane properties, such as MN size, resistance, rheobase, capacitance, time constant, axonal conduction velocity, and afterhyperpolarization duration. We reprocessed the data from 40 experimental studies in adult cat, rat, and mouse MN preparations to empirically derive a set of quantitative mathematical relationships between these MN electrophysiological and anatomical properties. This validated mathematical framework, which supports past findings that the MN membrane properties are all related to each other and clarifies the nature of their associations, is besides consistent with the Henneman's size principle and Rall's cable theory.

Which data in the French registry for advanced chronic kidney disease for public health and patient care?

Chronic kidney disease is a chronic non-transmittable disease of increasing incidence. The advanced stages are complicated by high morbidity and mortality, and individual management is complex due to the various treatments required at stage 5 including renal replacement. For the healthcare system, this disease also requires complex care organization.

[Intensive Care Nurses, Psychological Disorders and COVID-19. The COVID IMPACT NATIONAL STUDY].

The COVID-19 pandemic has turned hospital under tension. Front-line staff, those most heavily exposed to the virus, are also those most at risk of developing psychological disorders. The aim of this national survey was to determine the prevalence of psychological disorders among the nurses working in intensive care unit during the pandemic.