Neural networks for predicting etiological diagnosis of uveitis.

Background/objectives: The large number and heterogeneity of causes of uveitis make the etiological diagnosis a complex task. The clinician must consider all the information concerning the ophthalmological and extra-ophthalmological features of the patient. Diagnostic machine learning algorithms have been developed and provide a correct diagnosis in one-half to three-quarters of cases.

The portfolio effect: an opportunity for improving handoffs quality in ICU.

Background: Handoffs are a major determinant of patient's safety but their implementation remains heterogeneous and non-standardized. Organizational factors, including the order in which individual cases are handled within the handoff, may play a role in their quality. We aimed to confirm the existence of the portfolio effect (e.

Surgeon ability to predict physical activity and sedentary time: Comparison of self-reported and measured activity.

Background: Prior work evaluated clinician work-related physical activity and found it does not meet recommended requirements. We aimed to assess more fully daily surgeon physical activity and compare it to self-reported activity.

Methods: This multispecialty prospective cohort study included attending surgeons from 14 surgical departments within four French university hospitals.

Safety of inpatient care in surgical settings: cohort study.

Objectives: To estimate the frequency, severity, and preventability of adverse events associated with perioperative care, and to describe the setting and professions concerned.

Design: Multicenter retrospective cohort study.

Setting: 11 US hospitals.

The hidden crisis: Moral injury among French healthcare workers.

Background: Amidst reports that one in five doctors and one in four nurses might leave their professions within three to five years due to high levels of burnout, this qualitative review explored the deeper crisis impacting healthcare workers in France, questioning whether factors beyond burnout contributed to their distress.

Methodology: This study analyzed testimonies from French healthcare workers and reviewed relevant literature to uncover the underlying causes of their distress.

Results: The qualitative analysis revealed profound distress among healthcare workers, stemming from a misalignment between their ethical standards, specifically the principle to 'put patients first,' and the practical realities of their work.

Clinical presentation, outcome and prognostic factors in dogs with immune-mediated haemolytic anaemia: a retrospective single-centre study of 104 cases in Ireland (2002-2020).

Background: Immune-mediated haemolytic anaemia (IMHA) has a high mortality rate within the first weeks to months of diagnosis. Identifying dogs at increased risk of death may help guide decision-making for owners and veterinarians. Prior studies have identified several but inconsistent prognostic factors.

Long-Term Safety of Teriflunomide in Multiple Sclerosis Patients: Results of Prospective Comparative Studies in Three European Countries.

Background And Objectives: Teriflunomide is a disease-modifying therapy (DMT) for multiple sclerosis (MS). This post authorisation safety study assessed risks of adverse events of special interest (AESI) associated with teriflunomide use.

Methods: Secondary use of individual data from the Danish MS Registry (DMSR), the French National Health Data System (SNDS), the Belgian national database of health care claims (AIM-IMA) and the Belgian Treatments in MS Registry (Beltrims).

The impact of hospital saturation on non-COVID-19 hospital mortality during the pandemic in France: a national population-based cohort study.

Background: A previous study reported significant excess mortality among non-COVID-19 patients due to disrupted surgical care caused by resource prioritization for COVID-19 cases in France. The primary objective was to investigate if a similar impact occurred for medical conditions and determine the effect of hospital saturation on non-COVID-19 hospital mortality during the first year of the pandemic in France.

Methods: We conducted a nationwide population-based cohort study including all adult patients hospitalized for non-COVID-19 acute medical conditions in France between March 1, 2020 and 31 May, 2020 (1st wave) and September 1, 2020 and December 31, 2020 (2nd wave).

Associations of coping and health-related behaviors with medical students' well-being and performance during objective structured clinical examination.

Objective structured clinical examination (OSCE) is a valid method to evaluate medical students' competencies. The present cross-sectional study aimed at determining how students' coping and health-related behaviors are associated with their psychological well-being and performance on the day of the OSCE. Fourth-year medical students answered a set of standardized questionnaires assessing their coping (BCI) and health-related behaviors before the examination (sleep PSQI, physical activity GPAQ).

A time-adjusted control chart for monitoring surgical outcome variations.

Background: Statistical Process Control (SPC) tools providing feedback to surgical teams can improve patient outcomes over time. However, the quality of routinely available hospital data used to build these tools does not permit full capture of the influence of patient case-mix. We aimed to demonstrate the value of considering time-related variables in addition to patient case-mix for detection of special cause variations when monitoring surgical outcomes with control charts.

Association of Personality Traits With the Efficacy of Stress Management Interventions for Medical Students Taking Objective Structured Clinical Examinations.

Purpose: Personality traits are associated with psychophysiological stress, but few studies focus on medical students. This study aimed to better understand the association of personality traits with the efficacy of stress management interventions for medical students.

Method: A randomized controlled trial was conducted with fourth-year students who took the objective structured clinical examination at Bernard University Lyon 1 in December 2021.

Length of Stay Prediction With Standardized Hospital Data From Acute and Emergency Care Using a Deep Neural Network.

Objective: Length of stay (LOS) is an important metric for the organization and scheduling of care activities. This study sought to propose a LOS prediction method based on deep learning using widely available administrative data from acute and emergency care and compare it with other methods.

Patients And Methods: All admissions between January 1, 2011 and December 31, 2019, at 6 university hospitals of the Hospices Civils de Lyon metropolis were included, leading to a cohort of 1,140,100 stays of 515,199 patients.

Virulent systemic feline calicivirus infection: a case report and first description in Ireland.

Background: Virulent systemic feline calicivirus (VS-FCV) infection is an emerging disease. It is distinct from classic oronasal calicivirus infection as it manifests with unique systemic signs including severe cutaneous ulcerations, limb oedema, and high mortality, even in adequately vaccinated cats. Devastating epizootic outbreaks with hospital-acquired infections have been described in the United States, the United Kingdom, continental Europe and Australia with up to 54 cats affected in one outbreak and a mortality rate of up to 86%.

Operating room organization and surgical performance: a systematic review.

Background: Organizational factors may influence surgical outcomes, regardless of extensively studied factors such as patient preoperative risk and surgical complexity. This study was designed to explore how operating room organization determines surgical performance and to identify gaps in the literature that necessitate further investigation.

Methods: We conducted a systematic review according to PRISMA guidelines to identify original studies in Pubmed and Scopus from January 1, 2000 to December 31, 2019.

Combining the Hospital Frailty Risk Score With the Charlson and Elixhauser Multimorbidity Indices to Identify Older Patients at Risk of Poor Outcomes in Acute Care.

Objective: The Hospital Frailty Risk Score (HFRS) can be applied to medico-administrative datasets to determine the risks of 30-day mortality and long length of stay (LOS) in hospitalized older patients. The objective of this study was to compare the HFRS with Charlson and Elixhauser comorbidity indices, used separately or combined.

Design: A retrospective analysis of the French medical information database.

Two-stage multi-objective optimization for ICU bed allocation under multiple sources of uncertainty.

Due to the impact of COVID-19, a significant influx of emergency patients inundated the intensive care unit (ICU), and as a result, the treatment of elective patients was postponed or even cancelled. This paper studies ICU bed allocation for three categories of patients (emergency, elective, and current ICU patients). A two-stage model and an improved Non-dominated Sorting Genetic Algorithm II (NSGA-II) are used to obtain ICU bed allocation.

Effect of the Implementation of the French Hospital Regionalization Policy on Patient Mobility.

A new law was voted in France in 2016 to increase cooperation between public sector hospitals. Hospitals were encouraged to work under the leadership of local referral centers and to share their support functions (e.g.