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The aim of this study was to describe the predictive role of the modified SEGA frailty scale on nursing home admission, readmission to hospital, falls and mortality. Material and methods We performed a prospective, single-centre cohort study in patients discharged from a geriatric hospital ward between July 2016 and February 2017, with follow-up of six months. Patients aged 65 and over who were returning home from hospital were included. The primary outcome measure was admission to a nursing home at six months. We used a Cox model to explore the predictive nature of the variables. Results Thirty-three patients (18.4%) with a mean age of 80.9 years (± 6.5) were classified as not very frail and 146 (81.6%) with a mean age of 86 years (± 6.5) as frail/very frail. After six months, 13.5% of the frail/very frail patients and 1.2% of the not very frail patients had entered a nursing home (p = 0.169). Frailty status was significantly associated with readmission to hospital at three months (p = 0.026) and single or multiple falls at six months (p = 0.003). Conclusion The modified SEGA scale may predict the occurrence of adverse events and improve the transition to home.

International audience; The problem addressed in this paper was motivated by a real optimization problem of supply chain of the hospital center of Troyes (HCT). The HCT is currently seeking to review and improve its logistics processes. The implementation of techniques and methods of operational research must provide solutions to improve the efficiency of logistics activities. In this work, the studied problem focuses on the catering component of the hospital logistics. A novel mathematical model for the production scheduling of multi-products and multi-stages food processes in hospital catering is proposed. This mathematical model has been implemented in commercial solver CPLEX and it has been tested on real instances of HCT and from the literature. The implementation results of the mathematical model proposed have proved its efficiency for the scheduling of the food production process.

International audience; Introduction: Given the complexity of the therapeutic management of irritable bowel syndrome (IBS), alternative non-pharmacological therapies are frequently offered to patients. The aim of this study was to conduct a systematic review in order to establish the current evidence base for non-pharmacological interventions (body-directed and mind-body therapies) in the management of IBS.Materials and methods: The literature was searched in several electronic databases (PubMed (including Medline), Web of Science (Clarivate Analytics), Scopus (Elsevier), ScienceDirect (Elsevier), Cochrane Library (Wiley), and Wiley Online Library (Wiley)) for randomized controlled trials (RCTs) published in the English language from 1990 to 2020. Effectiveness outcomes were examined through the change in overall IBS symptoms or abdominal pain up to 12 months after treatment.Results: 11 studies (parallel-group RCTs) were identified that enrolled 1590 participants in total. Body-directed therapies (acupuncture and osteopathic medicine) showed a beneficial effect compared with standard medical treatment for overall IBS symptoms at 6 months follow-up, while no study found any difference between body-directed and sham therapies for abdominal pain or overall IBS symptoms. It was not possible to conclude whether hypnotherapy was superior to standard medical treatment or supportive therapy for overall IBS symptoms or abdominal pain due to discordant results.Conclusions: Although body-directed therapies such as acupuncture and osteopathic medicine may be beneficial for overall IBS symptoms, higher-quality RCTs are needed to establish the clinical benefit of non-pharmacological interventions for IBS. An important challenge will be the definition of the optimal control groups to be used in non-pharmacological trials.

Objective To study the impact of COVID-19 pandemic lockdown on avoided emergency department visits and consequent hospitalizations. Study design An observational retrospective design was used to investigate avoided visits and hospitalizations of an departmental emergency department combined with a clustering approach on multimorbidity patterns. Methods A multimorbidity clustering technique was applied on the emergency department diagnostics to segment the population in diseases clusters. Global visits and hospitalizations from an emergency department during the 2020 lockdown were put in perspective with the same period during 2019. Using a comparison with the five previous years, avoided hospitalizations per inhabitants during the lockdown were estimated for each diseases cluster. Results During the 8 weeks of lockdown, the number of emergency department visits have been reduced by 41.47% and resultant hospitalizations by 28.50% compared to 2019. The retrospective study showed that 14 of 17 diseases clusters had a statistically significant reduction in hospitalizations with a pronounced effect on lower acuity diagnoses and middle-aged patient, leading to 293 avoided hospitalizations per 100,000 inhabitants compared to the 5 previous years and to the 85.8 COVID-19 hospitalizations per 100,000 inhabitants. Conclusion Although specific to a regional context of pandemic containment, the study suggest that COVID-19 lockdown had beneficial effects on the crowding situation of the emergency departments and hospitals with avoidance effects primarily link to reduced risks.

International audience; Objective: The purpose of this prospective study was to identify predictive factors of the evolution of the number of seizures.Methods: We included 85 individuals with a diagnosis of Psychogenic Nonepileptic Seizure (PNES) who completed at least two clinical interviews spaced by 6 months during a 24-month follow-up. Participants underwent a structured interview with an experimented clinician in PNES to complete standardized evaluation and validated scales. We collected sociodemographic and clinical data on PNES (number of seizures, duration of the disease), anxiety, depression, history of traumas, alexithymia, dissociation, and post-traumatic stress disorder (PTSD). We used a multivariate linear regression analysis to predict the characteristics independently associated with the evolution of the number of seizures in percentage.Results: Dissociation score was significantly associated with a negative evolution of the number of seizures (p < 0.002). Conversely, the diagnosis of PTSD at inclusion was correlated to a positive evolution of the number of seizures (p < 0.029).Conclusion: Dissociation was related to a more pejorative evolution of the number of seizures while PTSD diagnosis was associated with a decreased number of seizures. It is therefore essential to improve detection and treatment of post-traumatic dissociation. Further studies are required to understand the impact of PTSD on the evolution of the number of seizures.

International audience; Objective: Previous studies showed that patients with Psychogenic Non-Epileptic Seizures (PNES) have poor quality of life (QoL). This study explored the explicative factors of the QoL at the time of diagnosis and monitored changes over the two years of follow-up.Methods: We evaluated 107 participants with a diagnosis of Psychogenic Non-Epileptic Seizure (PNES), every 6 months for 24 months. Quality of life (QoL) was evaluated using the QOLIE-31 and SF-36 scales (respectively specific and generic scales of QoL). Positive evolution of QoL was defined by the increase in the score of overall QoL using QOLIE-31 sub-scale from baseline to the last interview of the patient. We also collected for each patient data on psychiatric dimensions (childhood abuse, history of traumatic events, post-traumatic stress disorder (PTSD), depression, anxiety, alexithymia, and dissociation), clinical evolution of seizures and the number of mental health consultations.Results: According to the QOLIE-31 and the SF-36, depression (p ≤ 0.001), anxiety (p < 0.001), alexithymia (p ≤ 0.001), and dissociation (p ≤ 0.004) were related to QoL at the time of the diagnosis. According to SF-36 (mental and physical), PTSD was also significantly associated with QoL (p < 0.05). The number of seizures or the co-occurrence of epilepsy did not influence QoL. Positive evolution of QoL was linked to the number of consultations for mental health issues (p = 0.02).Significance: Post-traumatic dimensions (PTSD, dissociation), alexithymia and psychiatric comorbidities (depression and anxiety disorders) seem to alter QoL in people with PNES. The current study suggests that mental health care improves QoL of patients with PNES.

International audience; Purpose: Reducing discomfort in the intensive care unit (ICU) should have a positive effect on long-term outcomes. This study assessed whether a tailored multicomponent program for discomfort reduction was effective in reducing post-traumatic stress disorder (PTSD) symptoms at 1 year in general ICU survivors.Methods: This study is a prospective observational comparative effectiveness cohort study involving 30 ICUs. It was an extension of the IPREA3 study, a cluster-randomized controlled trial designed to assess the efficacy of a tailored multicomponent program to reduce discomfort in critically ill patients. The program included assessment of ICU-related self-perceived discomforts, immediate and monthly feedback to the healthcare team, and site-specific tailored interventions. The exposure was the implementation of this program. The eligible patients were exposed versus unexposed general adult ICU survivors. The prevalence of substantial PTSD symptoms at 1 year was assessed based on the Impact of Event Scale-Revised (IES-R).Results: Of the 1537 ICU survivors included in the study, 475 unexposed patients and 344 exposed patients had follow-up data at 1 year: 57 (12.0%) and 21 (6.1%) presented with PTSD at 1 year, respectively (p = 0.004). Considering the clustering and after adjusting for age, gender, McCabe classification, and ICU-related self-perceived overall discomfort score, exposed patients were significantly less likely than unexposed patients to have substantial PTSD symptoms at 1 year (p = 0.015).Conclusions: Implementation of a tailored multicomponent program in the ICU that has proved to be effective for reducing self-perceived discomfort in general adult ICU survivors also reduced the prevalence of substantial PTSD symptoms at 1 year.

International audience; Emergency department (ED) has become the patient’s main point of entrance in modern hospitals causing it frequent overcrowding. Thus hospital managers are increasingly giving attention to the ED in order to provide better quality service for patients. One of the key elements for a good management strategy is demand forecasting. In this case, forecasting patients flow, which will help decision makers to optimize human(doctors, nurses...) and material (beds, boxs...) resources allocation. The main interest of this research is forecasting daily attendance at an emergency department. The study was conducted on the Emergency Department of the Hospital of Troyes city, France, in which we propose a new practical ED patients classification that consolidate the CCMU and GEMSA into one single category and an innovative time-series based forecasting models to predict long and short term daily attendance. The models we developed for this case study shows very good performances (up to 92, 29% for the annual Total flow forecast) and robustness to epidemic periods.