No abstract

Recent European Society of Parenteral and Enteral Nutrition guidelines highlighted the interest of prevention, diagnosis and treatment of malnutrition in the management of coronavirus disease 19 (COVID-19) patients. The aim of our study was to evaluate the prevalence of malnutrition in patients hospitalised for COVID-19. In a prospective observational cohort study malnutrition was diagnosed according to the Global Leadership Initiative on Malnutrition (GLIM) two-step approach. Patients were divided into two groups according to the diagnosis of malnutrition. Covariate selection for the multivariate analysis was based on P <0·2 in univariate analysis, with a logistic regression model and a backward elimination procedure. A partitioning of the population was realised. Eighty patients were prospectively enrolled. Thirty patients (37·5 %) had criteria for malnutrition. The need for intensive care unit admission (n 46, 57·5 %) was similar in the two groups. Three patients who died (3·75 %) were malnourished. Multivariate analysis exhibited that low BMI (OR 0·83, 95 % CI 0·73, 0·96, P = 0·0083), dyslipidaemia (OR 29·45, 95 % CI 3·12, 277·73, P = 0·0031), oral intake reduction <50 % (OR 3·169, 95 % CI 1·04, 9·64, P = 0·0422) and glomerular filtration rate (Chronic Kidney Disease Epidemiology Collaboration; CKD-EPI) at admission (OR 0·979, 95 % CI 0·96, 0·998, P = 0·0297) were associated with the occurrence of malnutrition. We demonstrate the existence of a high prevalence of malnutrition in a general cohort of COVID-19 inpatients according to GLIM criteria. Nutritional support in COVID-19 care seems an essential element.

Purpose: To evaluate the impact of blended learning using a combination of educational resources (flipped classroom and short videos) on medical students' (MSs) for radiology learning. Material and methods: A cohort of 353 MSs from 2015 to 2018 was prospectively evaluated. MSs were assigned to four groups (high, high-intermediate, low-intermediate, and low achievers) based on their results to a 20-MCQs performance evaluation referred to as the pretest. MSs had then free access to a self-paced course totalizing 61 videos based on abdominal imaging over a period of 3 months. Performance was evaluated using the change between posttest (the same 20 MCQs as pretest) and pretest results. Satisfaction was measured using a satisfaction survey with directed and spontaneous feedbacks. Engagement was graded according to audience retention and attendance on a web content management system. Results: Performance change between pre and posttest was significantly different between the four categories (ANOVA, P = 10 −9): low pretest achievers demonstrated the highest improvement (mean ± SD, + 11.3 ± 22.8 points) while high pretest achievers showed a decrease in their posttest score (mean ± SD, − 3.6 ± 19 points). Directed feedback collected from 73.3% of participants showed a 99% of overall satisfaction. Spontaneous feedback showed that the concept of "pleasure in learning" was the most cited advantage, followed by "flexibility." Engagement increased over years and the number of views increased of 2.47-fold in 2 years. Conclusion: Learning formats including new pedagogical concepts as blended learning, and current technologies allow improvement in medical student's performance, satisfaction, and engagement.

A bdominal aortic aneurysm (AAA) is a serious and common pathologic abnormality that accompanies aging. Among men older than 65 years, the prevalence of AAA reaches 7.7%, increasing from 5.7% in ages 64-69 years to 8.9% in individuals older than 74 years (1). The high overall mortality from ruptured AAAs makes growth and subsequent rupture risk assessment crucial for AAA management.Since the 1970s, many studies (2) have demonstrated that AAA diameter correlates with rupture rate. Accordingly, AAA maximum diameter, effectively measured by using diagnostic US, has been the primary prognostic variable used to determine patient care (3,4). Current guidelines dictate elective repair to be appropriate at a diameter threshold of 50-55 mm or for AAA exhibiting growth greater than 1 cm per year (5,6).However, whereas some AAAs smaller than 55 mm do not grow more than 1 cm per year (7), other AAAs that are too small to trigger intervention grow rapidly. The sole use of maximal diameter measurement may be insufficient to

Background: Recent ESPEN guidelines highlighted the interest of prevention, diagnosis and treatment of malnutrition in the management of coronavirus disease 19 (COVID-19) patients. The aim of our study was to evaluate the prevalence of malnutrition in patients hospitalized for COVID-19. Methods: Prospective observational cohort study on COVID-19 inpatients admitted to a tertiary hospital. Malnutrition was diagnosed according to the Global Leadership Initiative on Malnutrition two-step approach. Patients were divided in two groups according to the diagnosis of malnutrition. Covariate selection for the multivariate analysis was based on P value <0.2 in univariate analysis, with a logistic regression model and a backward elimination procedure. A partitioning of the population was represented using a Classification and Regression Tree analysis.Results: 80 patients were prospectively enrolled in the study. Thirty patients (37.5%) had criteria for malnutrition. The need for ICU admission (n=46, 57.5%) was similar in the two groups. Three patients who died (3.75%) were malnourished. Multivariate analysis exhibited that low BMI (OR=0.83, 95% CI [0.73-0.96], p=0.0083), dyslipidemia (OR=29.45, 95% CI [3.12-277.73], p=0.0031), oral intakes reduction <50% (OR=3.169, 95% CI [1.04-9.64], p=0.0422) and GFR (CKD-EPI) at admission (OR=0.979, 95% CI [0.96-0.998], p=0.0297) were associated with the occurrence of malnutrition in COVID-19 inpatients.Conclusions: We demonstrate the existence of a high prevalence of malnutrition (37.5%) in a general cohort of COVID-19 inpatients according to GLIM criteria. Considering this high prevalence, nutritional support in COVID-19 care seems an essential element. Trial registration: Ethical Committee No 2020-A01237-32)(RC31/20/0165 NUTRI-COV