The role of malnutrition on outcomes of multisystem inflammatory syndrome in children (MIS-C) due to COVID-19.

BACKGROUND: Malnutrition increases the complications and mortality in critically-ill children. We performed a retrospective analysis to define the impact of malnutrition on the outcomes of multisystem inflammatory syndrome in children (MIS-C) due to COVID-19. METHODS: Patients with MIS-C were evaluated for demographic features, anthropometric parameters, clinical findings and outcomes. Patients with z scores of body mass index (> 5 years) and weight-for-age (< 5 years) < -2 were considered malnourished. Sarcopenia was defined by total psoas muscle area (tPMA), calculated on abdominal computed tomography (CT) at the level of L3 and L4 vertebrae. The z scores <- 2 for tPMA were considered sarcopenia. The results of patients with and without malnutrition were compared. RESULTS: Twenty-seven patients were included. Forty-four percent (n=12) of patients had malnutrition. Malnutrition was classified as mild to moderate (1/3), severe (1/3) and overweight (1/3). Eighty-two % of cases had acute malnutrition. Among MIS-C symptom criteria, rash was significantly higher in children with malnutrition (p<0.05). Laboratory investigations showed higher ferritin levels in patients with malnutrition (p<0.05). The median tPMA and sarcopenia were significantly higher in patients with malnutrition when compared to patients without malnutrition (42% vs 7%, p<0.05). The oral feeding time, complication rates, and length of hospital stay were similar in both groups (p>0.05). CONCLUSION: Children with MIS-C already had mild to severe malnutrition at admission. Rash and higher ferritin levels were more common in patients with malnutrition. In addition to anthropometric parameters, sarcopenia calculated using tPMA can be used to predict malnutrition in critically-ill children.

Parenteral nutrition consensus report from KEPAN.

OBJECTIVES: Medical nutrition therapy is one of the core components of patient management, although its implication is still limited in Daily practice globally. Clinicians are in need of guidance that will ease the application of medical nutrition therapy. The pre- and post-graduate curriculum for medical nutrition therapy is limited in most regions, worldwide. A report that is short, clear, and having clear-cut recommendations that will guide the primary healthcare professionals in indications, choice, practical application, follow-up, and stopping parenteral nutrition (PN) would facilitate the application and success of medical nutrition therapy. KEPAN is the Clinical Enteral and Parenteral Nutrition Society of Turkey and is an active member of the European Society for Clinical Nutrition and Metabolism (ESPEN). METHOD: In this study, we present the KEPAN PN consensus report on optimal PN use in medical nutrition therapy as outlined by the works of academicians experienced in the clinical application of PN (nine working group academicians and 10 expert group academicians). RESULTS: This report provides 22 clear-cut recommendations in a question-answer format. CONCLUSIONS: We believe that this report could have a significant impact on the optimum use of PN in the context of medical nutrition therapy when clinicians manage everyday patients.

A Novel Machine-Learning Algorithm to Predict the Early Termination of Nutrition Support Team Follow-Up in Hospitalized Adults: A Retrospective Cohort Study.

BACKGROUND: For hospitalized adults, it is important to initiate the early reintroduction of oral food in accordance with nutrition support team guidelines. The aim of this study was to develop and validate a machine learning-based algorithm that predicts the early termination of medical nutritional therapy (the transition to oral feeding). METHODS: This retrospective cohort study included consecutive adult patients admitted to the Hacettepe hospital (from 1 January 2018 to 31 December 2022). The outcome of the study was the prediction of an early transition to adequate oral feeding before discharge. The dataset was randomly (70/30) divided into training and test datasets. We used six ML algorithms with multiple features to construct prediction models. ML model performance was measured according to the accuracy, area under the receiver operating characteristic curve, and F1 score. We used the Boruta Method to determine the important features and interpret the selected features. RESULTS: A total of 2298 adult inpatients who were followed by a nutrition support team for medical nutritional therapy were included. Patients received parenteral nutrition (1471/2298, 64.01%), enteral nutrition (717/2298, 31.2%), or supplemental parenteral nutrition (110/2298, 4.79%). The median (interquartile range) Nutritional Risk Screening (NRS-2002) score was 5 (1). Six prediction algorithms were used, and the artificial neural network and elastic net models achieved the greatest area under the ROC in all outcomes (AUC = 0.770). Ranked by z-value, the 10 most important features in predicting an early transition to oral feeding in the artificial neural network and elastic net algorithms were parenteral nutrition, surgical wards, surgical outcomes, enteral nutrition, age, supplemental parenteral nutrition, digestive system diseases, gastrointestinal complications, NRS-2002, and impaired consciousness. CONCLUSIONS: We developed machine learning models for the prediction of an early transition to oral feeding before discharge. Overall, there was no discernible superiority among the models. Nevertheless, the artificial neural network and elastic net methods provided the highest AUC values. Since the machine learning model is interpretable, it can enable clinicians to better comprehend the features underlying the outcomes. Our study could support personalized treatment and nutritional follow-up strategies in clinical decision making for the prediction of an early transition to oral feeding in hospitalized adult patients.

Global availability of parenteral nutrition: Pre- and post-COVID-19 pandemic surveys.

OBJECTIVE: Parenteral nutrition represents a therapeutic option for patients with type 3 intestinal failure. If used exclusively, parenteral nutrition has to be complete to provide all essential nutrients. The aim was to assess the availability of parenteral nutrition in all parts of the world, to better comprehend the global situation, and to prepare an action plan to increase access to parenteral nutrition. METHODS: An international survey using an electronic questionnaire was conducted in August 2019 and repeated in May 2022. An electronic questionnaire was sent to 52 members or affiliates of the International Clinical Nutrition Section of the American Society for Parenteral and Enteral Nutrition. Questions addressed the availability of parenteral nutrition admixtures and their components, reimbursement, and prescribing pre- and post-COVID-19 pandemic. All participating countries were categorized by their economic status. RESULTS: Thirty-six country representatives responded, answering all questions. Parenteral nutrition was available in all countries (100%), but in four countries (11.1%) three-chamber bags were the only option, and in six countries a multibottle system was still used. Liver-sparing amino acids were available in 18 (50%), kidney-sparing in eight (22.2%), and electrolyte-free in 11 (30.5%) countries (30.5%). In most countries (n = 28; 79.4%), fat-soluble and water-soluble vitamins were available. Trace elements solutions were unavailable in four (11.1%) countries. Parenteral nutrition was reimbursed in most countries (n = 33; 91.6%). No significant problems due to the coronavirus pandemic were reported. CONCLUSIONS: Despite the apparent high availability of parenteral nutrition worldwide, there are some factors that may have a substantial effect on the quality of parenteral nutrition admixtures. These shortages create an environment of inequality.