The effect of mechanical ventilation compared to high-flow nasal cannula on gastric residual volume and reflux events using novel automated technology.

BACKGROUND & AIM: High flow nasal cannula (HFNC) oxygen therapy is frequently used following extubation. A case report, utilizing an innovative medical technology (The smART + Platform, ART MEDICAL Ltd., Netanya, Israel) that enables the detection of gastric refluxes and gastric residual volumes (GRV), has suggested that HFNC may be associated with increased reflux events and GRV. This study measured reflux events and GRV using smART+ in mechanically ventilated patients before and after extubation while they were receiving HFNC therapy. We aim to show if there is a significant difference in reflux events and GRV between HFNC users and mechanically ventilated patients. METHODS: This is a post hoc analysis examines data of a randomized controlled trial (RCT) involving critically ill adult patients who received enteral nutrition through the smART + Platform. The study was approved by the local ethics committee. We compared the frequency and amplitude of reflux events and GRV in mechanically ventilated patients. These parameters were assessed both 3 h before extubation and subsequently after extubation when the patients were connected to HFNC. Patients served as their own controls. To evaluate the differences between the pre- and post-extubation measurements, we applied a parametric paired t-test. RESULTS: Ten patients (mean age of 58 years; mean APACHE II score 22; mean 3.9 days of mechanical ventilation) were included. Three hours prior extubation the mean GRV was 4.1 ml/h compared to 14.03 ml/h on HFNC (p = 0.004). The mean frequency of major reflux events was 2.33/h in ventilated patients versus 4.4/h in the HFNC patients (p = 0.73). The mean frequency of major reflux events was 9.17/h in ventilated patients versus 9.83/h in HFNC patients (p = 0.14). CONCLUSIONS: Leveraging the smART + Platform, we demonstrated that the use of HFNC significantly increases GRV compared with patients on mechanical ventilation and may increase the frequency of major reflux events, thereby increasing the risk of aspiration. Further studies are required to support our conclusions.

The future of artificial intelligence in clinical nutrition.

PURPOSE OF REVIEW: Artificial intelligence has reached the clinical nutrition field. To perform personalized medicine, numerous tools can be used. In this review, we describe how the physician can utilize the growing healthcare databases to develop deep learning and machine learning algorithms, thus helping to improve screening, assessment, prediction of clinical events and outcomes related to clinical nutrition. RECENT FINDINGS: Artificial intelligence can be applied to all the fields of clinical nutrition. Improving screening tools, identifying malnourished cancer patients or obesity using large databases has been achieved. In intensive care, machine learning has been able to predict enteral feeding intolerance, diarrhea, or refeeding hypophosphatemia. The outcome of patients with cancer can also be improved. Microbiota and metabolomics profiles are better integrated with the clinical condition using machine learning. However, ethical considerations and limitations of the use of artificial intelligence should be considered. SUMMARY: Artificial intelligence is here to support the decision-making process of health professionals. Knowing not only its limitations but also its power will allow precision medicine in clinical nutrition as well as in the rest of the medical practice.

Females have a different metabolic response to critical illness, measured by comprehensive amino acid flux analysis.

BACKGROUND: The trajectory from healthy to critical illness is influenced by numerous factors, including metabolism, which differs substantially between males and females. Whole body protein breakdown is substantially increased in critically ill patients, but it remains unclear whether there are sex differences that could explain the different health outcomes. Hence, we performed a secondary analysis of a study, where we used a novel pulse isotope method in critically ill and matched healthy males and females. METHODS: In 51 critically ill ICU patients (26 males, 15 females) and 49 healthy controls (36 males and 27 females), we assessed their general and disease characteristics and collected arterial(ized) blood in the postabsorptive state after pulse administration of 8 ml of a solution containing 18 stable AA tracers. In contrast to the original study, we now fitted the decay curves and calculated non-compartmental whole body amino acid production (WBP) and compartmental measurements of metabolism, including intracellular amino acid production. We measured amino acid enrichments and concentrations by LC-MS/MS and derived statistics using AN(C)OVA. RESULTS: Critically ill males and females showed an increase in the WBP of many amino acids, including those related to protein breakdown, but females showed greater elevations, or in the event of a reduction, attenuated reductions. Protein breakdown-independent WBP differences remained between males and females, notably increased glutamine and glutamate WBP. Only severely ill females showed a lower increase in WBP of many amino acids in comparison to moderately ill females, suggesting a suppressed metabolism. Compartmental analysis supported the observations. CONCLUSIONS: The present study shows that females have a different response to critical illness in the production of several amino acids and changes in protein breakdown, observations made possible using our innovative stable tracer pulse approach. CLINICAL TRIAL REGISTRY: Data are from the baseline measurements of study NCT02770092 (URL: https://clinicaltrials.gov/ct2/show/NCT02770092) and NCT03628365 (URL: https://clinicaltrials.gov/ct2/show/NCT03628365).

Effect of age on resting energy expenditure in patients with cancer.

OBJECTIVE: Because older patients with cancer are at high risk for developing malnutrition, it is critical to understand their energy needs and to feed them appropriately. The aim of this study was to determine whether there are differences in resting energy expenditure between younger and older adults with cancer and in various age groups of older patients. METHODS: This retrospective, observational, and descriptive study from a single center included adult (≥18 to <60 y) and older (≥60 y) outpatients with gastrointestinal tract and head and neck cancers. According to the World Health Organization classification for adults and Pan American Health Organization for older individuals, nutritional status was estimated using body mass index. Nutritional risk screening was used to assess the nutritional risk and Patient-Generated Subjective Global Assessment for those at risk. Resting energy expenditure (REE) was measured by indirect calorimetry coupled to a gas exchange canopy. Bodystat and Quadscan 4000 multifrequency electrical bioimpedance devices were used to assess body composition at four frequencies (5, 50, 100, and 200 kHz). RESULTS: The study included 326 patients of whom 197 were older (60.4%), 244 were men (74.8%), 197 had gastric cancer (60.4%), and 129 had head and neck cancer (39.6%). Most patients had advanced cancer (stages III and IV) and had not undergone cancer treatment in the previous 3 mo. Compared with the younger adults, patients ≥60 y had a higher rate of malnutrition (88.4 versus 54.3%; P < 0.001), a higher percentage of fat-free mass deficit (88.3 versus 74.4%; P < 0.001), and higher percentage of fat mass (91.4 versus 58.9% adult; P < 0.001). The REE of older patients (1263.3 [234.1] kcal/d) was lower than that of patients ≥18 to <60 y (1382.5 [210.5] kcal/d; P < 0.001), for women (1055.2 kcal/d for the older adults versus 1214.3 kcal/d for younger adults), and men (1337.9 versus 1433 kcal/d; P = 0.001). The REE comparison categorized by decades has shown that for patients <60 y, an REE greater than those for individuals 60 to 69 y, 70 to 79 y, and ≥80 y (P < 0.001). REE in patients 60 to 69 y was greater than for those ≥80 y (P < 0.001). When compared with the Harris-Benedict formula, the REE intraclass correlation coefficient for all older patients was 0.514 (95% confidence interval [CI], 0.064-0.736); for ages 60 to 69 y it was 0.527 (95% CI, 0.126-0.733), and for ages >70 y, it was 0.466 (95% CI, -0.080 to -0.756). CONCLUSION: Measured REE in patients with cancer decreases with age. This finding is critical for appropriate caloric provision for older patients with cancer.

Kidney stones are common in patients with short-bowel syndrome receiving long-term parenteral nutrition: A predictive model for urolithiasis.

BACKGROUND: In short-bowel syndrome (SBS) treated with parenteral nutrition (PN), multiple complications can occur. The etiology of kidney stones may be linked to the underlying disease thrombosis, surgical complications, complications of therapy for cancer, Crohn's disease, metabolic abnormalities resulting from morphological and functional changes in the gastrointestinal tract, and to treatment used. We analyzed all these parameters in a large cohort of patients receiving home PN (HPN), to define the incidence of stones and groups of patients particularly at risk of stone formation. One of the objectiveswas to develop a predictive model of urolithiasis. METHODS: This observational retrospective study included 459 patients with SBS recieving HPN in a single center. Patient records were evaluated for demographics, SBS etiology, and underlying disease, anatomy of the gastrointestinal tract, intestinal failure classification, nutrition regimen, and presence of urolithiasis. RESULTS: Kidney stones were diagnosed in 24% of patients. Nodifferences in incidence were noted between the various etiologic groups. The incidence in patients with a colon in continuity and those with an end stoma was similar. The length of residual small bowel did not play a role in stone formation. There were no differences between patients according to the severity of intestinal failure. In patients treated with PN and limited oral feeding, the risk of urolithiasis was twice as high as in patients receiving PN only. CONCLUSIONS: Patients developed urolithiasis with no relation to the SBS etiology. The risk of kidney stone formation was higher in patients recieving PN with oral feeding.

Towards personalized nutritional treatment for malnutrition using machine learning-based screening tools.

Early identification of patients at risk of malnutrition or who are malnourished is crucial in order to start a timely and adequate nutritional therapy. Yet, despite the presence of many nutrition screening tools for use in the hospital setting, there is no consensus regarding the best tool as well as inadequate adherence to screening practices which impairs the achievement of effective nutritional therapy. In recent years, artificial intelligence and machine learning methods have been widely used, across multiple medical domains, to aid clinical decision making and to improve quality and efficiency of care. Therefore, Yin and colleagues propose a machine learning based individualized decision support system aimed to identify and grade malnutrition in cancer patients by applying unsupervised and supervised machine learning methods on nationwide cohort. This approach, demonstrate the ability of machine learning methods to create tools to recognize malnutrition. The machine learning based screening serves as a first layer in a nutritional therapy workflow and provides improved support for decision making of health professionals to fit individualized nutritional therapy in at-risk patients.

ESPEN practical guideline: Clinical nutrition in surgery.

Early oral feeding is the preferred mode of nutrition for surgical patients. Avoidance of any nutritional therapy bears the risk of underfeeding during the postoperative course after major surgery. Considering that malnutrition and underfeeding are risk factors for postoperative complications, early enteral feeding is especially relevant for any surgical patient at nutritional risk, especially for those undergoing upper gastrointestinal surgery. The focus of this guideline is to cover both nutritional aspects of the Enhanced Recovery After Surgery (ERAS) concept and the special nutritional needs of patients undergoing major surgery, e.g. for cancer, and of those developing severe complications despite best perioperative care. From a metabolic and nutritional point of view, the key aspects of perioperative care include the integration of nutrition into the overall management of the patient, avoidance of long periods of preoperative fasting, re-establishment of oral feeding as early as possible after surgery, the start of nutritional therapy immediately if a nutritional risk becomes apparent, metabolic control e.g. of blood glucose, reduction of factors which exacerbate stress-related catabolism or impaired gastrointestinal function, minimized time on paralytic agents for ventilator management in the postoperative period, and early mobilization to facilitate protein synthesis and muscle function.

Comprehensive metabolic amino acid flux analysis in critically ill patients.

Amino acid (AA) metabolism is severely disturbed in critically ill ICU patients. To be able to make a more scientifically based decision on the type of protein or AA nutrition to deliver in ICU patients, comprehensive AA phenotyping with measurements of plasma concentrations and whole body production (WBP) is needed. Therefore, we studied ICU patients and matched control subjects using a novel pulse isotope method to obtain in-depth metabolic analysis. In 51 critically ill ICU patients (SOFA~6.6) and 49 healthy controls, we measured REE and body composition/phase-angle using BIA. In the postabsorptive state, we collected arterial (ized) blood for CRP and AA. Then, we administered an 8 mL solution containing 18 stable AA tracers as a pulse and calculated WBP. Enrichments: LC-MS/MS and statistics: t-test, ANCOVA. Compared to healthy, critically ill ICU patients had lower phase-angle (p < 0.00001), and higher CRP (p < 0.0001). Most AA concentrations were lower in ICU patients (p < 0.0001), except tau-methylhistidine and phenylalanine. WBP of most AA were significantly (p < 0.0001) higher with increases in glutamate (160%), glutamine (46%), and essential AA. Remarkably, net protein breakdown was lower. There were only weak relationships between AA concentrations and WBP. Critically ill ICU patients (SOFA 8-16) had lower values for phase angle (p = 0.0005) and small reductions of most plasma AA concentrations, but higher tau-methylhistidine (p = 0.0223) and hydroxyproline (p = 0.0028). Remarkably, the WBP of glutamate and glutamine were lower (p < 0.05), as was their clearance, but WBP of tau-methylhistidine (p = 0.0215) and hydroxyproline (p = 0.0028) were higher. Our study in critically ill ICU patients shows that comprehensive metabolic phenotyping was able to reveal severe disturbances in specific AA pathways, in a disease severity dependent way. This information may guide improving nutritional compositions to improve the health of the critically ill patient. CLINICAL TRIAL REGISTRY: Data are from the baseline measurements of study NCT02770092 (URL: https://clinicaltrials.gov/ct2/show/NCT02770092) and NCT03628365 (URL: https://clinicaltrials.gov/ct2/show/NCT03628365).

Bioelectrical Impedance Analysis in Patients Undergoing Major Head and Neck Surgery: A Prospective Observational Pilot Study.

BACKGROUND: Head and neck patients are prone to malnutrition. Perioperative fluids administration in this patient group may influence nutritional status. We aimed to investigate perioperative changes in patients undergoing major head and neck surgery and to examine the impact of perioperative fluid administration on body composition and metabolic changes using bioelectrical impedance. Furthermore, we sought to correlate these metabolic changes with postoperative complication rate. In this prospective observational pilot study, bioelectrical impedance analysis (BIA) was performed preoperatively and on postoperative days (POD) 2 and 10 on patients who underwent major head and neck surgeries. BIA was completed in 34/37 patients; mean total intraoperative and post-anesthesia fluid administration was 3682 ± 1910 mL and 1802 ± 1466 mL, respectively. Total perioperative fluid administration was associated with postoperative high extra-cellular water percentages (p = 0.038) and a low phase-angle score (p < 0.005), which indicates low nutritional status. Patients with phase angle below the 5th percentile at POD 2 had higher local complication rates (p = 0.035) and longer hospital length of stay (LOS) (p = 0.029). Multivariate analysis failed to demonstrate that high-volume fluid administration and phase angle are independent factors for postoperative complications. High-volume perioperative fluids administration impacts postoperative nutritional status with fluid shift toward the extra-cellular space and is associated with factors that increase the risk of postoperative complications and longer LOS. An adjusted, low-volume perioperative fluid regimen should be considered in patients with comorbidities in order to minimize postoperative morbidity.

The centenary of the Harris-Benedict equations: How to assess energy requirements best? Recommendations from the ESPEN expert group.

BACKGROUND & AIMS: The year 2019 marked the centenary of the publication of the Harris and Benedict equations for estimation of energy expenditure. In October 2019 a Scientific Symposium was organized by the European Society for Clinical Nutrition and Metabolism (ESPEN) in Vienna, Austria, to celebrate this historical landmark, looking at what is currently known about the estimation and measurement of energy expenditure. METHODS: Current evidence was discussed during the symposium, including the scientific basis and clinical knowledge, and is summarized here to assist with the estimation and measurement of energy requirements that later translate into energy prescription. RESULTS: In most clinical settings, the majority of predictive equations have low to moderate performance, with the best generally reaching an accuracy of no more than 70%, and often lead to large errors in estimating the true needs of patients. Generally speaking, the addition of body composition measurements did not add to the accuracy of predictive equations. Indirect calorimetry is the most reliable method to measure energy expenditure and guide energy prescription, but carries inherent limitations, greatly restricting its use in real life clinical practice. CONCLUSIONS: While the limitations of predictive equations are clear, their use is still the mainstay in clinical practice. It is imperative to recognize specific patient populations for whom a specific equation should be preferred. When available, the use of indirect calorimetry is advised in a variety of clinical settings, aiming to avoid under-as well as overfeeding.

Effect of Supplemental Enteral Fish Oil on the Development of Psychological Complications in Critically Ill Multiple-Trauma Patients: 6 Months' Follow-Up.

BACKGROUND: Posttraumatic stress disorder (PTSD) is common in intensive care unit (ICU) patients. Defic it intake of ω-3 polyuns aturated fatty ac ids (PUFAs) may be as sociated with developm ent of PTSD. METHODS: This study randomized mechanically ventilated patients suffering from multiple trauma (n = 150) into 2 groups: a study and a control group that received enteral feeding with or without fish oil. Fifty-one patients were interviewed 6 months after discharge from the ICU. Psychometric parameters of PTSD were assessed by questionnaires. The fatty acid composition of erythrocyte membranes was performed by homogenization of the cells in hexane-isopropanol. RESULTS: No differences were found in baseline characteristics between the groups. Erythrocyte membrane composition showed significantly higher concentrations of ω-3 fatty acids in the study group. Anxiety and depression symptoms were correlated with an increase in eicosapentaenoic acid (EPA) on days 4 and 8 for depression and EPA on day 4 and docosahexaenoic acid (DHA) on day 8 for anxiety. Total ω-3 content was positively correlated with anxiety and depression as well. An inverse correlation was found between DHA and EPA in the treatment group and with the total ω-3 and DHA in the control group for the Brief Illness Perceptions Questionnaire. CONCLUSION: Administration of an ω-3 PUFA-enriched diet during the ICU stay did not prevent development of PTSD in trauma patients 6 months after discharge from ICU.

Reflux events detected by multichannel bioimpedance smart feeding tube during high flow nasal cannula oxygen therapy and enteral feeding: First case report.

The use of high flow nasal cannula (HFNC) oxygen therapy is common in patients with respiratory distress to prevent intubation or ensure successful extubation. However, these critical patients also need medical nutritional support and practitioners are often reluctant to prescribe oral or enteral feeding, leading to a decrease in energy and protein intake. Vomiting and aspiration are the major concerns. A new technology detecting the presence and duration of gastro-esophageal reflux and preventing aspiration in real-time has been developed and our case shows how HFNC oxygen therapy exposes patients to significantly more reflux events as compared to mechanical ventilation. This is the first description of this technique observed in critical care.

Intestinal expression of toll-like receptor gene changes early after gastric bypass surgery and association with type 2 diabetes remission.

OBJECTIVES: Abnormal activation of toll-like receptors (TLRs) is observed in obese rodents and is correlated with local dysbiosis and increased gut permeability. These purported changes trigger systemic inflammation associated with obesity-related comorbidities, including type 2 diabetes (T2D). Roux-en-Y gastric bypass (RYGB) surgery is an effective treatment for severe obesity and known to induce changes in the gut microbiota and decrease systemic inflammation in humans. This study examined the intestinal expression of TLR-encoding genes in obese women (n = 20) treated with RYGB surgery and the relationship of these genes with T2D remission (T2Dr METHODS: Intestinal biopsies were performed before and 3 months after RYGB surgery. Partial and complete T2Dr after 1 year was assessed using the American Diabetes Association criteria. Affymetrix Human GeneChip 1.0 ST array (microarray) and TaqMan assay (real-time quantitative polymerase chain reaction) were used to analyze intestinal gene expression, and associations with systemic markers of energy homeostasis were examined. RESULTS: Patients experienced significant weight loss (P < 0.001) and altered gut TLR gene expression 3 months after surgery. The main effects were a reduction in jejunal TLR4 expression in patients with complete and partial T2Dr (P < 0.05). There was a postoperative decrease in jejunal TLR7 expression in patients with complete T2Dr that correlated inversely with high-density lipoprotein cholesterol and positively with triglyceride concentrations, but not with weight loss. CONCLUSIONS: RYGB-induced weight loss-independent changes in the expression of intestinal TLR-encoding genes in obese women and complete T2Dr that was correlated with systemic markers of energy homeostasis. The modulation of intestinal TLRs may mediate inflammatory mechanisms linked to T2Dr after RYGB surgery.

Comparison of nutritional screening and diagnostic tools in diagnosis of severe malnutrition in critically ill patients.

RATIONALE: While various nutritional assessment tools have been proposed, consensus is lacking with respect to the most effective tool to identify severe malnutrition in critically ill patients. METHODS: We conducted a retrospective study in an adult general intensive care unit (ICU) comparing four nutritional assessment tools: Nutrition Risk Screening (NRS), Nutrition Risk in Critically Ill (NUTRIC), and malnutrition criteria proposed by European Society of Clinical Nutrition and Metabolism (ESPEN) and American Society for Parenteral and Enteral Nutrition (ASPEN). These criteria were tested for their sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) in diagnosis of severe malnutrition, defined as Subjective Global Assessment (SGA) C. RESULTS: Hospitalization records for 120 critically ill patients were analyzed. 60 (50%), 17 (14.2%) and 43 (35.8%) patients were classified as SGA A, B, and C, respectively. The sensitivity in diagnosis of severe malnutrition was 79.1%, 58.1%, 65.1%, and 65.1%, and specificity was 94.8%, 74.0%, 94.8%, and 98.7% for NRS, NUTRIC, ESPEN, and ASPEN, respectively. NRS, ESPEN, and ASPEN had higher PPV (89.5%, 87.5%, and 87.5%, respectively) and NPV (89%, 83%, and 83.5%, respectively) than NUTRIC (PPV 55.6% and NPV 76%). NUTRIC showed the highest correlation with mortality, but none of the tools retained their correlation with mortality after adjustment for potential confounding factors. CONCLUSIONS: NRS showed the highest sensitivity and high specificity, PPV, and NPV. NUTRIC had least effective overall performance in diagnosis of severe malnutrition in an ICU setting. A larger population may be required to explore the association between mortality and these nutritional assessment tools.

Validation and improvement of the predictive equation for resting energy expenditure in advanced gastrointestinal cancer.

OBJECTIVES: The usual predictive equations for estimating resting energy expenditure (REE) seem to be associated with significant inaccuracy in patients with advanced cancer. Recently, our group developed a predictive equation for patients with advanced head and neck cancer, showing a better accuracy when compared with indirect calorimetry. The aim of this study was to validate this predictive equation and, if necessary, to elaborate a new predictive equation for patients with advanced gastrointestinal (GI) cancer. METHODS: This was a retrospective, unicentric observational study. Data regarding the characteristics of the study were collected using an electronic medical record from June 2016 to January 2018. The nutritional status was calculated by the body mass index (BMI). Patients with nutritional risk, by the Nutritional Risk Screening 2002, were subjectively evaluated in relation to the nutritional status by the Patient-Generated Subjective Global Assessment (PG-SGA). Sarcopenia was defined as fat-free mass index ≤17.4 kg/m2 for men and ≤15 kg/m2 for women. Body composition and phase angle values were evaluated by electrical bioimpedance. REE was measured by indirect calorimetry. RESULTS: The study included 109 patients with advanced GI tract cancer. Most were male (72.5%), ≥60 y of age (61.5%), and had cancer in the esophagus region (62.4%). Most patients had not undergone any treatment at the time of the examination. Regarding nutritional characteristics, the majority of the patients were malnourished by BMI (71.6%), with a deficit of lean mass (79.8%), sarcopenia (83.5%), and a phase angle below the fifth percentile for age, sex, and BMI, showing in addition to a poor nutritional condition, an impaired cellular integrity. Most of the patients were hypermetabolic (56.9%) and their caloric intake in the preceding 3 d was insufficient in 43.1%. Through the intraclass correlation coefficient (ICC), it was possible to observe the satisfactory agreement between the REE measured by the gold standard (calorimetry) versus the Souza-Singer's formula (ICC, 0.730; 95% confidence interval, 0.659-0.789; P < 0.001). When we did the multiple linear regression model, we figured that in this group of patients with GI cancer, only lean mass, phase angle, and sex were the age-adjusted independent variables that influenced REE, which was different from the Souza-Singer formula. This way a new prediction formula for this population has been created and needs to be validated. CONCLUSION: A new equation considering phase angle and body composition can improve the accuracy of the predictive equation.

GLIM Criteria for the Diagnosis of Malnutrition: A Consensus Report From the Global Clinical Nutrition Community.

BACKGROUND: This initiative aims to build a global consensus around core diagnostic criteria for malnutrition in adults in clinical settings. METHODS: The Global Leadership Initiative on Malnutrition (GLIM) was convened by several of the major global clinical nutrition societies. Empirical consensus was reached through a series of face-to-face meetings, telephone conferences, and e-mail communications. RESULTS: A 2-step approach for the malnutrition diagnosis was selected, that is, first screening to identify at risk status by the use of any validated screening tool, and second, assessment for diagnosis and grading the severity of malnutrition. The malnutrition criteria for consideration were retrieved from existing approaches for screening and assessment. Potential criteria were subjected to a ballot among GLIM participants that selected 3 phenotypic criteria (non-volitional weight loss, low body mass index, and reduced muscle mass) and 2 etiologic criteria (reduced food intake or assimilation, and inflammation or disease burden). To diagnose malnutrition at least 1 phenotypic criterion and 1 etiologic criterion should be present. Phenotypic metrics for grading severity are proposed. It is recommended that the etiologic criteria be used to guide intervention and anticipated outcomes. The recommended approach supports classification of malnutrition into four etiology-related diagnosis categories. CONCLUSIONS: A consensus scheme for diagnosing malnutrition in adults in clinical settings on a global scale is proposed. Next steps are to secure endorsements from leading nutrition professional societies, to identify overlaps with syndromes like cachexia and sarcopenia, and to promote dissemination, validation studies, and feedback. The construct should be re-considered every 3-5 years.

ESPEN guideline on clinical nutrition in the intensive care unit.

Following the new ESPEN Standard Operating Procedures, the previous guidelines to provide best medical nutritional therapy to critically ill patients have been updated. These guidelines define who are the patients at risk, how to assess nutritional status of an ICU patient, how to define the amount of energy to provide, the route to choose and how to adapt according to various clinical conditions. When to start and how to progress in the administration of adequate provision of nutrients is also described. The best determination of amount and nature of carbohydrates, fat and protein are suggested. Special attention is given to glutamine and omega-3 fatty acids. Particular conditions frequently observed in intensive care such as patients with dysphagia, frail patients, multiple trauma patients, abdominal surgery, sepsis, and obesity are discussed to guide the practitioner toward the best evidence based therapy. Monitoring of this nutritional therapy is discussed in a separate document.