Indian perspective on childhood malnutrition: Prevalence, pathophysiology, risk factors, and prevention

BACKGROUND

Childhood malnutrition contributes over half of the childhood mortality around the world, predominantly in South-Asian and sub-Saharan countries.

AIM

To summarize the childhood malnutrition epidemiology along with the comorbid factors associated with it and its management within the community.

METHODS

The data collection process involved conducting a comprehensive search using specific keywords such as child nutrition disorders and India with Boolean operators. The search was conducted in the Scopus and PubMed electronic databases.

RESULTS

Inadequate energy consumption initiates pathological alterations in the form of growth retardation, fat, visceral, and muscle loss, a reduction in basal metabolic rate, and a significant reduction in total energy expenditure. It has become evident that malnutrition shows an increased prevalence and incidence rate, despite available guidelines for the management of malnutrition.

CONCLUSION

Malnutrition can be a major player in the establishment of severe infections that result in significant post discharge mortalities in children. Future trials are required to fill the prime gaps in knowledge regarding the identification of other contributory factors in the pathogenesis of malnutrition and post-discharge infection. New biomarkers for early detection of malnutrition should be the priority of the scientific community for the early management of malnutrition.

Relevance of plasma lipoproteins and small metabolites in assessment of nutritional status among patients with severe injuries

Background

This study aimed to identify plasma lipoproteins and small metabolites associated with high risk of malnutrition during intensive care unit (ICU) stay in patients with severe injuries.

Methods

This observational prospective exploratory study was conducted at two level-1 trauma centers in the Netherlands. Adult patients (aged ≥18 years) who were admitted to the ICU for more than 48 h between July 2018 and April 2022 owing to severe injuries (polytrauma, as defined by Injury Severity Scores of ≥16) caused by blunt trauma were eligible for inclusion. Partial least squares discriminant analysis was used to analyze the relationship of 112 lipoprotein-related components and 23 small metabolites with the risk of malnutrition (modified Nutrition Risk in Critically Ill score). Malnutrition was diagnosed based on Subjective Global Assessment scores. The relationship of lipoprotein properties and small metabolite concentrations with malnutrition (during ICU admission) was evaluated using mixed effects logistic regression.

Results

Overall, 51 patients were included. Lower (very) low-density lipoprotein ([V]LDL) (free) cholesterol and phospholipid levels, low particle number, and higher levels of LDL triglycerides were associated with a higher risk of malnutrition (variable importance in projection [VIP] value >1.5). Low levels of most (V)LDL and intermediate-density lipoprotein subfractions and high levels of high-density lipoprotein Apo-A1 were associated with the diagnosis of malnutrition (VIP value >1.5). Increased levels of dimethyl sulfone, trimethylamine N-oxide, creatinine, N, N-dimethylglycine, and pyruvic acid and decreased levels of creatine, methionine, and acetoacetic acid were also indicative of malnutrition (VIP value >1.5). Overall, 14 lipoproteins and 1 small metabolite were significantly associated with a high risk of malnutrition during ICU admission (P <0.05); however, the association did not persist after correcting the false discovery rate (P=0.35 for all).

Conclusion

Increased triglyceride in several lipoprotein subfractions and decreased levels of other lipoprotein subfraction lipids and several small metabolites (involved in the homocysteine cycle, ketone body formation, and muscle metabolism) may be indicative of malnutrition risk. Following validation in larger cohorts, these indicators may guide institution of preventive nutritional measures in patients admitted to the ICU with severe injuries.

Advancements in nutritional diagnosis and support strategies during the perioperative period for patients with liver cancer

Liver cancer represents a grave hepatic condition and constitutes a significant global health concern. Surgical resection remains the principal therapeutic modality for liver cancer. Nevertheless, perioperative malnutrition exerts a notable impact on patients with liver cancer, emerging as an independent risk factor for disease mortality and adverse outcomes. Hence, precise nutritional diagnosis and timely nutritional support hold the potential to enhance therapeutic efficacy and quality of life for liver cancer patients. This study represents a meticulous foray into the literature, extracting data from PubMed, Web of Science, and EMBASE databases, with a focus on the past 5 years. It scrutinizes the impact of malnutrition on patients undergoing liver cancer surgery, the etiological underpinnings of malnutrition within this patient cohort, the critical assessment of perioperative nutritional status, and the strategic approaches to nutritional support. Utilizing rigorous inclusion and exclusion criteria, the amassed scholarly works are meticulously synthesized, methodically organized, and categorically elaborated upon. Ultimately, the authors propose the incorporation of a multidisciplinary nutrition management team during the perioperative period, comprising nutritionists, pharmacists, physicians, nurses, psychologists, and rehabilitation therapists, among other specialized professionals. Together, they collaborate to devise and implement personalized nutritional support plans, monitor patients' nutritional status, and make necessary adjustments as required. Through comprehensive management and intervention, improvements in the nutritional status of liver cancer patients can be achieved, thereby enhancing surgical success rates and facilitating postoperative recovery. It is believed that this manuscript will offer valuable insights to advance the nutritional management during the perioperative phase of liver cancer, aiding in ameliorating patients' nutritional status and treatment outcomes.

A longitudinal study to determine if all critically ill patients should be considered at nutrition risk or is there a highly accurate screening tool to be adopted?

BACKGROUND

Nutrition risk is prevalent in intensive care unit (ICU) settings and related to poor prognoses. We aimed to evaluate the concurrent and predictive validity of different nutrition risk screening tools in the ICU.

METHODS

Data were collected between 2019 and 2022 in six ICUs (n = 450). Nutrition risk was evaluated by modified Nutrition Risk in Critically ill (mNUTRIC), Nutritional Risk Screening (NRS-2002), Malnutrition Screening Tool (MST), Malnutrition Universal Screening Tool (MUST), and Nutritional Risk in Emergency (NRE-2017). Accuracy and agreement of the tools were assessed; logistic regression was used to verify the association between nutrition risk and prolonged ICU stay; Cox regression was used for mortality in the ICU, both with adjustment for confounders.

RESULTS

NRS-2002 ≥5 showed the best accuracy (0.63 [95% CI, 0.58-0.69]) with mNUTRIC, and MST with NRS-2002 ≥5 (0.76 [95% CI, 0.71-0.80]). All tools had a poor/fair agreement with mNUTRIC (k = 0.019-0.268) and moderate agreement with NRS-2002 ≥5 (k = 0.474-0.503). MUST (2.26 [95% CI 1.40-3.63]) and MST (1.69 [95% CI, 1.09-2.60]) predicted death in the ICU, and the NRS-2002 ≥5 (1.56 [95% CI 1.02-2.40]) and mNUTRIC (1.86 [95% CI, 1.26-2.76]) predicted prolonged ICU stay.

CONCLUSION

No nutrition risk screening tool demonstrated a satisfactory concurrent validity; only the MUST and MST predicted ICU mortality and the NRS-2002 ≥5 and mNUTRIC predicted prolonged ICU stay, suggesting that it could be appropriate to adopt the ESPEN recommendation to assess nutrition status in patients with ≥48 h in the ICU.

Growth Charts for Children With Arthrogryposis Multiplex Congenita

Children with arthrogryposis multiplex congenita (AMC) often demonstrate growth differences compared with typically developing (TD) children. However, growth charts have not been developed for this population. The purpose of this study was to create AMC-specific growth charts and to compare these values to those of TD children. A retrospective review of height/length and weight for 206 children with AMC was performed. Growth charts were developed and stratified over seven percentiles; these were then compared with growth charts of TD children. Children with AMC tend to be smaller in stature and weight compared with TD children, particularly in the first 36 months of life. Thereafter, weight values trend toward the 50th percentile of TD children, but height/length values persist around the 5th percentile of TD children. The development of AMC-specific growth charts provides health care providers an objective tool to evaluate growth patterns of patients with AMC.

Development and validation of a point-of-care nursing mobile tool to guide the diagnosis of malnutrition in hospitalized adult patients: a multicenter, prospective cohort study

Malnutrition is a prevalent and severe issue in hospitalized patients with chronic diseases. However, malnutrition screening is often overlooked or inaccurate due to lack of awareness and experience among health care providers. This study aimed to develop and validate a novel digital smartphone-based self-administered tool that uses facial features, especially the ocular area, as indicators of malnutrition in inpatient patients with chronic diseases. Facial photographs and malnutrition screening scales were collected from 619 patients in four different hospitals. A machine learning model based on back propagation neural network was trained, validated, and tested using these data. The model showed a significant correlation (p < 0.05) and a high accuracy (area under the curve 0.834-0.927) in different patient groups. The point-of-care mobile tool can be used to screen malnutrition with good accuracy and accessibility, showing its potential for screening malnutrition in patients with chronic diseases.

Dietary pyrroloquinoline quinone hinders aging progression in male mice and D-galactose-induced cells

Background: Understanding and promoting healthy aging has become a necessity in the modern world, where life expectancy is rising. The prospective benefits of the antioxidant pyrroloquinoline quinone (PQQ) in healthy aging are promising. However, its role in aging remains unclear. Thus, this study aimed to investigate the effect of PQQ on preventing the progression of aging and to explore its underlying molecular mechanisms. Methods: Naturally aged C57BL/6J male mice were fed a normal diet with or without PQQ (20 mg/kg/day) for 10 weeks. Body composition was measured by bioimpedance at weeks 0 and 8. The integument conditions were evaluated at weeks 0, 4, and 8. Muscle strength and function were examined at week 8. At the ninth week, computed tomography images of the mice were captured, and blood and tissue samples were collected. The levels of inflammatory cytokines in the gastrocnemius muscle were measured, and the muscle fiber cross-sectional area in the soleus muscle was examined. Additionally, a D-galactose (D-gal)-induced cell aging model was used to study the effects of PQQ intervention on cell proliferation, senescence, differentiation, ROS levels, and mitochondrial function in myoblasts (C2C12). Cell proliferation and monolayer permeability of D-gal-induced intestinal epithelial cells (IEC6) were also examined. Results: Aged mice suffered from malnutrition; however, PQQ supplementation ameliorated this effect, possibly by improving metabolic dysfunction and small intestinal performance. PQQ prevented rapid loss of body fat and body fluid accumulation, attenuated muscle atrophy and weakening, reduced chronic inflammation in skeletal muscles, and improved skin and coating conditions in aged mice. Furthermore, PQQ intervention in D-gal-treated C2C12 cells improved mitochondrial function, reduced cellular reactive oxygen species (ROS) levels and senescence, and enhanced cell differentiation, consequently preventing age-related muscle atrophy. In addition, PQQ increased cell proliferation in D-gal-treated IEC6 cells and consequently improved intestinal barrier function. Conclusion: PQQ could hinder the aging process and particularly attenuate muscle atrophy, and muscle weakness by improving mitochondrial function, leading to reduced age-related oxidative stress and inflammation in muscles. PQQ may also ameliorate malnutrition caused by intestinal barrier dysfunction by enhancing IEC proliferation. This study provides evidence for the role of PQQ in aging and suggests that PQQ may be a potential nutritional supplementation that can be included in healthy aging strategies.

Evolution of the diagnosis of malnutrition in adults: a primer for clinicians

During the last two decades, the definition, diagnosis, and management of malnutrition have significantly evolved. Malnutrition is generally defined as deficiencies, excesses, or imbalances in a person's intake of energy and/or nutrients. While malnutrition is associated with a significantly increased risk of morbidity, mortality, and healthcare cost, it is often underdiagnosed both in healthcare and community settings. One contributing factor is the lack of a consensus on its definition and appropriate diagnostic indicators. In the current article, we review the evolution of frameworks for the diagnosis of malnutrition. Recently published consensuses by prominent clinical nutrition societies have established a trajectory for the uniform global diagnosis of malnutrition. Limiting the use of body mass index (BMI) as a diagnostic criterion while emphasizing the use of muscle mass enables a more consistent and accurate diagnosis of malnutrition in the clinical setting. Guidance for the unified methodology and terminology for diagnosing malnutrition, such as the one proposed in the current article will enable policy makers to systematically address the two faces of malnutrition, starvation- and disease-related malnutrition applicable to both pediatric and adult populations. Policies and programs that could address issues of food insecurity and scarcity as well as early diagnosis and management of disease-related malnutrition will empower better care of community nutrition.

Derivation of the Screening of Nutritional Risk in Intensive Care risk prediction score: A secondary analysis of a prospective cohort study

BACKGROUND

For patients who are critically ill, the recommended nutrition risk screening tools are the Nutrition Risk in the Critically Ill (NUTRIC) and the Nutritional Risk Screening 2002 (NRS-2002) have limitations.

OBJECTIVE

To develop a new screening tool, the Screening of Nutritional Risk in Intensive Care (SCREENIC score), and assess its predictive validity.

METHODS

A secondary analysis of a prospective cohort study was conducted. Variables from several nutritional screening and assessment tools were considered. The high nutrition risk cutoff point was defined using mNUTRIC as a reference. Predictive validity was evaluated using logistic regression and Cox regression.

RESULTS

The study included 450 patients (64 [54-71] years, 52.2% men). The SCREENIC score comprised six questions: (1) does the patient have ≥2 comorbidities (1.3 points); (2) was the patient hospitalized for ≥2 days before intensive care unit (ICU) admission (0.9 points); (3) does the patient have sepsis (1.0 point); (4) was the patient on mechanical ventilation upon ICU admission (1.2 points); (5) is the patient aged >65 years (1.2 points); and (6) does the patient exhibit signs of moderate/severe muscle mass loss according to the physical exam (0.6 points). The high nutrition risk cutoff point was set at 4.0. SCREENIC demonstrated moderate agreement (κ = 0.564) and high accuracy (0.896 [95% CI, 0.867-0.925]) with mNUTRIC. It predicted prolonged ICU (odds ratio [OR] = 1.81 [95% CI, 1.14-2.85]) and hospital stay (OR = 2.15 [95% CI, 1.37-3.38]).

CONCLUSION

The SCREENIC score comprises questions with variables that do not require nutrition history. Further evaluation of its applicability, reproducibility, and validity in guiding nutrition therapy is needed using large external cohorts.

Feasibility and criterion validity of the GLIM criteria in the critically ill: A prospective cohort study

BACKGROUND

This study aimed to evaluate the feasibility and validity of the Global Leadership Initiative on Malnutrition (GLIM) criteria in the intensive care unit (ICU).

METHODS

This was a cohort study involving critically ill patients. Diagnoses of malnutrition by the Subjective Global Assessment (SGA) and GLIM criteria within 24 h after ICU admission were prospectively performed. Patients were followed up until hospital discharge to assess the hospital/ICU length of stay (LOS), mechanical ventilation duration, ICU readmission, and hospital/ICU mortality. Three months after discharge, the patients were contacted to record outcomes (readmission and death). Agreement and accuracy tests and regression analyses were performed.

RESULTS

GLIM criteria could be applied to 377 (83.7%) of 450 patients (64 [54-71] years old, 52.2% men). Malnutrition prevalence was 47.8% (n = 180) by SGA and 65.5% (n = 247) by GLIM criteria, presenting an area under the curve equal to 0.835 (95% confidence interval [CI], 0.790-0.880), sensitivity of 96.6%, and specificity of 70.3%. Malnutrition by GLIM criteria increased the odds of prolonged ICU LOS by 1.75 times (95% CI, 1.08-2.82) and ICU readmission by 2.66 times (95% CI, 1.15-6.14). Malnutrition by SGA also increased the odds of ICU readmission and the risk of ICU and hospital death more than twice.

CONCLUSION

The GLIM criteria were highly feasible and presented high sensitivity, moderate specificity, and substantial agreement with the SGA in critically ill patients. It was an independent predictor of prolonged ICU LOS and ICU readmission, but it was not associated with death such as malnutrition diagnosed by SGA.

Nutrition-Focused Physical Examination for Detecting Protein Energy Wasting in Children with Chronic Kidney Disease

Introduction

There is a need to explore less laborious point-of-care assessment tools to diagnose protein energy wasting (PEW) in children with chronic kidney disease (CKD). This cross-sectional study was undertaken to assess the profile of specific nutrition-focused physical examination (NFPE) and mid-arm muscle area (MAMA) in children with CKD and determine their role in the diagnosis of PEW.

Methods

PEW criterion was applied to all eligible children and MAMA was derived from mid-arm circumference and triceps skin fold thickness. NFPE signs examined were muscle wasting (MW) and subcutaneous fat loss (FL).

Results

One hundred and twenty-six children with CKD (86 in CKD stages 2-4 and 40 on dialysis) were studied. PEW was prevalent in 41.8% children with CKD2-4 and in 72.5% on dialysis. In children with CKD 2-4, low MAMA, MW, and FL were significantly associated with PEW with an odd's ratio of 5.3 (1.55,18.30), 10.6 (3.8,29.8), and 10.5 (3.7,29.2) respectively (P = <0.001). Similarly, in children on dialysis, low MAMA, MW, and FL were more likely to be associated with PEW with an odd's ratio of 17 (2.2,127.7); P = 0.017, 16.6 (3,90.8); P = 0.001 and 19 (2.1,170.3); and P = 0.009, respectively. MW demonstrated high sensitivity and specificity [80.6 and 72%, respectively, with a positive predictive value (PPV) of 67.4%] to diagnose PEW in the CKD 2-4 group and in those on dialysis [86.2 and 72.1%, respectively, with PPV of 89.3%].

Conclusion

Clinical signs based on NFPE are useful in detecting PEW in children with CKD2-4 and in those on dialysis.

Rectus abdominis and rectus femoris muscle thickness in determining nutritional risk in critically ill patients: a prospective cohort study in Turkey

OBJECTIVES

Malnutrition is a clinical condition that is frequently seen in critically ill patients in the intensive care unit (ICU). Although there are many scoring systems and tools used to determine nutritional risk, those that can be used in critically ill patients in the ICU are very few. The scoring systems used are insufficient to identify ICU patients with malnutrition or at risk.Malnutrition is generally presented with a decrease in skeletal muscle mass and muscle strength. Therefore, in many recent studies, attention has been drawn to the relationship between nutritional status and loss of muscle mass.

DESIGN

A cohort study.

SETTING

Forty-five patients hospitalised in an anaesthesia ICU in Turkey were included in the study.

PARTICIPANTS

Patients aged 18 years and older.

INTERVENTIONS

Demographic data of patients included in the study, and Nutritional Risk Screening 2002 (NRS-2002) and Modified Nutrition Risk in Critically ill (mNUTRIC) scores in the first 24 hours of ICU admission were noted. Rectus abdominis muscle (RAM) and rectus femoris muscle (RFM) thicknesses were measured by the same person (intensive care specialist) with ultrasonography (USG).

OUTCOME MEASURES

Finding a quantitative and practical evaluation method by determining the correlation of measurement of RAM and RFM thickness with USG with NRS-2002 and mNUTRIC score, which are scoring systems used to assess nutritional risk.

RESULTS

The performance of RAM and RFM thickness in determining nutritional status was evaluated by receiver operating characteristic (ROC) analysis. Area under the ROC curves were calculated as >0.7 for RFM and RAM measurements (p<0.05). Specificity and sensitivity percentages of RAM were found to be higher than RFM in determining nutritional status.

CONCLUSION

This study showed that RAM and RFM thickness measured by USG can be a reliable and easily applicable quantitative method that can be used to determine nutritional risk in the ICU.

Temporal and periorbital depressions identified by 3D images are correlated with malnutrition phenotypes in cancer patients: A pilot study

Background

Prompt diagnosis of malnutrition and appropriate interventions can substantially improve the prognosis of patients with cancer; however, it is difficult to unify the tools for screening malnutrition risk. 3D imaging technology has been emerging as an approach to assisting in the diagnosis of diseases, and we designed this study to explore its application value in identifying the malnutrition phenotype and evaluating nutrition status.

Methods

Hospitalized patients treating with maintenance chemotherapy for advanced malignant tumor of digestive system were recruited from the Department of Oncology, whose NRS 2002 score &gt; 3. Physical examination and body composition data of patients at risk for malnutrition were analyzed by physicians trained to complete a subjective global assessment. The facial depression index was recognized using the Antera 3D® system, temporal and periorbital depression indexes were acquired using the companion software Antera Pro. This software captures quantitative data of depression volume, affected area, and maximum depth of temporal and periorbital concave areas.

Results

A total of 53 inpatients with malnutrition-related indicators were included. The volume of temporal depression was significantly negatively correlated with upper arm circumference (r = −0.293, p = 0.033) and calf circumference (r = −0.285, p = 0.038). The volume and affected area of periorbital depression were significantly negatively correlated with fat mass index (r = −0.273, p = 0.048 and r = −0.304, p = 0.026, respectively) and percent body fat (r = −0.317, p = 0.021 and r = −0.364, p = 0.007, respectively). The volume and affected area of temporal depression in patients with muscle loss phenotype (low arm circumference/low calf circumference/low handgrip strength/low fat-free mass index) were significantly higher than those in patients without muscle loss. Moreover, patients with fat mass loss phenotype (low fat mass index) showed a significant increase in the volume and affected area of periorbital depression.

Conclusion

The facial temporal region, and periorbital depression indicators extracted by 3D image recognition technology were significantly associated with the phenotype of malnutrition-related muscle and fat loss and showed a trend of grade changes in the population of different subjective global assessment nutritional classifications.

Decreased Enterobacteriaceae translocation due to gut microbiota remodeling mediates the alleviation of premature aging by a high-fat diet

Aging-associated microbial dysbiosis exacerbates various disorders and dysfunctions, and is a major contributor to morbidity and mortality in the elderly, but the underlying cause of this aging-related syndrome is confusing. SIRT6 knockout (SIRT6 KO) mice undergo premature aging and succumb to death by 4 weeks, and are therefore useful as a premature aging research model. Here, fecal microbiota transplantation from SIRT6 KO mice into wild-type (WT) mice phenocopies the gut dysbiosis and premature aging observed in SIRT6 KO mice. Conversely, an expanded lifespan was observed in SIRT6 KO mice when transplanted with microbiota from WT mice. Antibiotic cocktail treatment attenuated inflammation and cell senescence in KO mice, directly suggesting that gut dysbiosis contributes to the premature aging of SIRT6 KO mice. Increased Enterobacteriaceae translocation, driven by the overgrowth of Escherichia coli, is the likely mechanism for the premature aging effects of microbiome dysregulation, which could be reversed by a high-fat diet. Our results provide a mechanism for the causal link between gut dysbiosis and aging, and support a beneficial effect of a high-fat diet for correcting gut dysbiosis and alleviating premature aging. This study provides a rationale for the integration of microbiome-based high-fat diets into therapeutic interventions against aging-associated diseases.

Use of Facial Morphology to Determine Nutritional Status in Older Adults: Opportunities and Challenges

Undiagnosed malnutrition is a significant problem in high-income countries, which can reduce the quality of life of many individuals, particularly of older adults. Moreover, it can also inflate the costs of existing health care systems because of the many metabolic complications that it can cause. The current methods for assessing malnutrition can be cumbersome. A trained practitioner must be present to conduct an assessment, or patients must travel to facilities with specialized equipment to obtain their measurements. Therefore, digital health care is a possible way of closing this gap as it is rapidly gaining traction as a scalable means of improving efficiency in the health care system. It allows for the remote monitoring of nutritional status without requiring the physical presence of practitioners or the use of advanced medical equipment. As such, there is an increasing interest in expanding the range of digital applications to facilitate remote monitoring and management of health issues. In this study, we discuss the feasibility of a novel digital remote method for diagnosing malnutrition using facial morphometrics. Many malnutrition screening assessments include subjective assessments of the head and the face. Facial appearance is often used by clinicians as the first point of qualitative indication of health status. Hence, there may be merit in quantifying these subtle but observable changes using facial morphometrics. Modern advancements in artificial intelligence, data science, sensors, and computing technologies allow facial features to be accurately digitized, which could potentially allow these previously intuitive assessments to be quantified. This study aims to stimulate further discussion and discourse on how this emerging technology can be used to provide real-time access to nutritional status. The use of facial morphometrics extends the use of currently available technology and may provide a scalable, easily deployable solution for nutritional status to be monitored in real time. This will enable clinicians and dietitians to keep track of patients remotely and provide the necessary intervention measures as required, as well as providing health care institutions and policy makers with essential information that can be used to inform and enable targeted public health approaches within affected populations.

A questionnaire for physical findings of malnutrition when physical exams are not possible

BACKGROUND

When nutrition assessments must be performed virtually, such as during the coronavirus pandemic, it is difficult to fully assess patients for malnutrition without the ability to perform a nutrition-focused physical exam. Practitioners may ask patients about their physical appearance, but there is currently no validated set of questions whose answers correlate with nutrition-focused physical findings for the diagnosis of malnutrition in such situations. The aim of this study was to evaluate correlations between patients' responses to verbalized questions and physical signs of malnutrition.

METHODS

Questions related to the physical findings of malnutrition were developed and evaluated for content validity. Thirty patients receiving nutrition assessments at an acute care veterans' hospital were asked the questions prior to a nutrition-focused physical exam. Patients' responses were compared with a diagnosis of malnutrition and physical findings of muscle, fat, fluid accumulation, and handgrip strength.

RESULTS

Four questions significantly correlated with malnutrition: "Does the area around your eyes appear sunken in?" (P = 0.03), "Are you able to see your ribs?" (P = 0.05), "Do you feel you are unusually skinny for you?" (P = 0.001), and "Do you find yourself eating less due to swelling in your belly?" (P = 0.008).

CONCLUSION

There are relationships between patients' responses to certain verbalized questions and their physical status. Such questions can be used to identify physical signs of malnutrition when nutrition-focused physical exams cannot be performed. Further research is needed to validate these questions in other populations.

In patients admitted to a home rehabilitation service, is remote completion of the PG-SGA physical examination using still images captured by Allied Health Assistants a valid alternative to an in-person physical examination?

BACKGROUND

There is increasing provision of telehealth services, including nutrition services. However remote nutrition assessments are challenging due to difficulties in conducting physical assessments remotely, a crucial component of assessing nutritional status.

OBJECTIVE

The aim of this study was to evaluate whether remote completion of the PG-SGA physical examination using still images captured by Allied Health Assistants is a valid alternative to an in-person physical examination in patients admitted to a home rehabilitation service.

DESIGN

This study was Cross-sectional in design.

PARTICIPANTS/SETTING

This study involved 104 adults admitted to the home-rehabilitation service at Southern Adelaide Local Health Network, Adelaide Australia over two sampling periods in 2019 and 2020 who were receiving home visits by an AHA and were engaged in rehabilitation activities.

MAIN OUTCOME MEASURES

Validity of the still-image based physical assessment was determined using still-images collected by an AHA and an in-person physical assessment completed by a dietitian from each participant. A dietitian blinded to the in-person results later assessed the de-identified still-images to determine the presence and extent of deficit at each anatomical site and overall physical examination component of the Patient-generated subjective global assessment (PG-SGA).

STATISTICAL ANALYSES PERFORMED

Percentage agreement, weighted kappa, sensitivity and specificity between the still-image based and in-person physical examinations were determined to assess agreement between the two methods of assessment.

RESULTS

The still-image based physical examination achieved a percentage agreement of 75% against the in-person examination, with a weighted kappa of 0.662 (0.516, 0.808) and a sensitivity-specificity pair of 76.6% and 89.1%.

CONCLUSIONS

Physical examination using still-images collected by AHAs achieved percentage agreement, kappa and sensitivity and specificity compared to an in-person physical examination that is consistent with or superior to commonly adopted nutrition screening and assessment tools. There is potential for implementation of this method to facilitate remote nutritional assessments by dietitians however further work is needed to ensure dietitians are able to assess still-images reliably.

Nutrition interventions in congenital disorders of glycosylation

Congenital disorders of glycosylation (CDG) are a group of more than 160 inborn errors of metabolism affecting multiple pathways of protein and lipid glycosylation. Patients present with a wide range of symptoms and therapies are only available for very few subtypes. Specific nutritional treatment options for certain CDG types include oral supplementation of monosaccharide sugars, manganese, uridine, or pyridoxine. Additional management includes specific diets (i.e., complex carbohydrate or ketogenic diet), iron supplementation, and albumin infusions. We review the dietary management in CDG with a focus on two subgroups: N-linked glycosylation defects and GPI-anchor disorders.

Clinical and nutritional predictors of hospital readmission within 30 days

BACKGROUND/OBJECTIVES

Identify clinical, sociodemographic, and nutritional predictors of hospital readmission within 30 days.

SUBJECTS/METHODS

A longitudinal study was conducted with patients hospitalised at a public institution in Recife, Brazil. Sociodemographic (age, sex, race, and place of residence), clinical (diagnosis, comorbidities, medications, polypharmacy, hospital outcome, hospital stay, and occurrence of readmission within 30 days), and nutritional (% of weight loss, body mass index, arm circumference [AC], and calf circumference [CC]) characteristics were collected from the nutritional assessment files and patient charts. Nutritional risk was determined using the 2002 Nutritional Risk Screening tool and the diagnosis of malnutrition was based on the GLIM criteria.

RESULTS

The sample was composed of 252 patients, 58 (23.0%; CI_95%: 17.2-28.8%) of whom were readmitted within 30 days after discharge from hospital, 135 (53.5%; CI_95%: 46.7-60.5%) were at nutritional risk and 107 (42.4%; CI_95%: 35.6-49.3%) were malnourished. In the bivariate analysis, polypharmacy, nutritional risk, malnutrition, low AC, and low CC were associated with readmission. In the multivariate analysis, low CC was considered an independent risk factor, increasing the likelihood of hospital readmission nearly fourfold. In contrast, the absence of polypharmacy was a protective favour, reducing the likelihood of readmission by 81%.

CONCLUSIONS

The use of six medications or more and low calf circumference are risk factors for hospital readmission within 30 days after discharge.

Item-Level Analysis of a Newly Developed Interactive Nutrition Specific Physical Exam Competency Tool (INSPECT) Using the Rasch Measurement Model

The Interactive Nutrition Specific Physical Exam Competency Tool (INSPECT) is a tool designed specifically to observe and measure registered dietitian nutritionists' (RDNs) nutrition-focused physical exam (NFPE) competence in authentic acute care settings. The initial INSPECT items were generated and tested for content and face validity using expert RDNs' input. The INSPECT was further examined for inter-rater, intra-rater, and internal consistency using clinical supervisor observations of RDNs performing NFPE on patients in real-life acute care settings. These previous studies showed the INSPECT to have excellent content validity, acceptable face validity, good inter-rater reliability, moderate to strong intra-rater reliability, and excellent internal consistency. In the current study, the Rasch measurement model was applied to examine the item-level properties of the INSPECT. Results confirm that the INSPECT measured a single construct. All items fit the established criteria for clinical observations of >0.5 and <1.7, had positive point measure correlations, met the Wright Unidimensionality Index criteria of ≥0.9, exhibited one latent construct with >40% variance explained by the Rasch dimension as well as a sub-dimension based on item difficulty from the principal component analysis of the first contrast Rasch residuals. Rasch rating scale analysis revealed that the rating scale and majority of the items (39/41) fit the Rasch model. Rasch item hierarchy analysis matched the a priori hypothesized hierarchy for the top-most and bottom-most items. Ceiling effects were seen for three items (hand hygiene, personal protective equipment, and patient position) and one item (handgrip using hand dynamometer) reached the floor effect. Rasch reliability assessment demonstrated high person reliability (0.86), high item reliability (0.96), and person separation of 3.56 ability levels. The principal component analysis of residuals revealed two factors based on item difficulty, one for micronutrient exam and another for macronutrient exam, initial steps, and bedside manner. The resulting two factors may likely be due to a sub-dimension of the latent NFPE trait. Overall, the INSPECT items were found to have good item-level psychometrics. Continued testing of the INSPECT with RDNs at different ability levels will help to determine cut-off scores ranging from novice to expert. Establishing cut-off scores for the INSPECT will further enhance the utility of the tool.

Inter-Rater and Intra-Rater Reliability of the INSPECT (Interactive Nutrition Specific Physical Exam Competency Tool) Measured in Multi-Site Acute Care Settings

Even as new medical modalities, diagnostics, and technologies are rapidly changing healthcare, providing patients with safe, high-quality care remains the central focus. To provide safe patient care, healthcare providers are obligated to demonstrate and maintain the necessary competence. As more healthcare disciplines move toward a competency-based education model, it is essential to extend the competence verification from the academic educational level to the patient’s bedside. The nutrition-focused physical exam (NFPE) is a competency recently adopted by registered dietitian nutritionists (RDNs) for assessing patients’ nutritional status. Being a newly acquired skill, validated tools are required to measure NFPE competence during routine clinical practice. The Interactive Nutrition Specific Physical Exam Competency Tool (INSPECT) is a new tool developed specifically to observe and measure RDNs’ NFPE competence in clinical settings. The INSPECT was designed and validated for content using expert RDNs’ input in the first and second phases of the study. This current study aimed to assess the reliability of the INSPECT through multi-site observations by clinical supervisors evaluating RDNs’ NFPE competency during patient assessment. The INSPECT exhibited good inter-rater reliability (ICC = 0.78 for the first assessment and ICC = 0.68 for the second assessment), moderate to strong intra-rater reliability for 37 of 41 items (Spearman rho = 0.54 to 1.0), and excellent internal consistency (Cronbach’s α = 0.86 for the first assessment and α = 0.92 for the second assessment). In total, 10 out of the 11 INSPECT subsets showed good to excellent internal consistency (α ranging from 0.70 to 0.98). The results demonstrate that the INSPECT is a reliable tool, is stable over time, and has good agreement and excellent consistency between raters. The INSPECT can be a valuable tool to measure, promote and maintain RDNs’ NFPE competence in authentic acute care settings.

Nutritional and prognostic significance of abdominal wall thickness measured during percutaneous endoscopic gastrostomy in older individuals with dysphagia

BACKGROUND & AIMS

The significance of abdominal wall thickness (AWT) for nutritional assessment remains unclear. This study aimed to evaluate the nutritional and prognostic significance of AWT measured during percutaneous endoscopic gastrostomy (PEG) in older patients with dysphagia.

METHODS

This single-center retrospective cohort study enrolled older adults with dysphagia who underwent PEG for enteral nutrition using the introducer technique between February 2010 and January 2019. We examined the association between AWT measured during PEG and nutritional status items, including body mass index (BMI), serum albumin (Alb), total lymphocyte count (TLC), total cholesterol (TC), hemoglobin (Hb), and C-reactive protein (CRP). The shaft length of the PEG tube inserted, which is an approximation value of the AWT, was used for statistical analysis. Patients were divided into three groups: low-AWT group (shaft length ≤2.5 cm), medium-AWT group (shaft length 3.0-3.5 cm), and high-AWT group (shaft length ≥4.0 cm). We performed the Kruskal-Wallis test and multiple linear regression analysis with multiple imputation. We performed survival analysis using the Kaplan-Meier method, log-rank test, and Cox regression analysis.

RESULTS

A total of 520 patients were identified: 115, 258, and 147 patients in the low-AWT, medium-AWT, and high-AWT groups, respectively. Higher AWT was significantly associated with higher BMI, Alb, TLC, TC, Hb, and lower CRP levels. Multiple linear regression analysis revealed that BMI and TLC were significant predictors of AWT (BMI: coefficient 1.16E-01, 95% confidence interval [CI], 9.77E-02-1.33E-01, P < 0.001; TLC: coefficient 1.18E-04, 95% CI, 2.72E-05-2.09E-04, P = 0.011). The median survival time was the longest in the high-AWT group (low-AWT, 359 days; medium-AWT, 851 days; high-AWT, 1662 days; P < 0.001). The hazard ratio for the high-AWT group relative to the medium-AWT group was 0.59 (95% CI, 0.41-0.85, P = 0.004), and that relative to the low-AWT group was 0.34 (95% CI, 0.24-0.51, P < 0.001).

CONCLUSIONS

Higher AWT was associated with better nutritional status and survival. AWT may help assess nutritional status and predict survival in older dysphagic patients with PEG.

A Machine Learning-Based Screening Test for Sarcopenic Dysphagia Using Image Recognition

Background: Sarcopenic dysphagia, a swallowing disorder caused by sarcopenia, is prevalent in older patients and can cause malnutrition and aspiration pneumonia. This study aimed to develop a simple screening test using image recognition with a low risk of droplet transmission for sarcopenic dysphagia. Methods: Older patients admitted to a post-acute care hospital were enrolled in this cross-sectional study. As a main variable for the development of a screening test, we photographed the anterior neck to analyze the image features of sarcopenic dysphagia. The studied image features included the pixel values and the number of feature points. We constructed screening models using the image features, age, sex, and body mass index. The prediction performance of each model was investigated. Results: A total of 308 patients participated, including 175 (56.82%) patients without dysphagia and 133 (43.18%) with sarcopenic dysphagia. The area under the receiver operating characteristic curve (ROC-AUC), sensitivity, specificity, positive predictive value, negative predictive value, and area under the precision-recall curve (PR-AUC) values of the best model were 0.877, 87.50%, 76.67%, 66.67%, 92.00%, and 0.838, respectively. The model with image features alone showed an ROC-AUC of 0.814 and PR-AUC of 0.726. Conclusions: The screening test for sarcopenic dysphagia using image recognition of neck appearance had high prediction performance.

Role of the nutrition-focused physical examination in identifying malnutrition and its effectiveness

It has long been recognized that malnutrition changes physical appearance, as evidenced by muscle wasting, losses of fat stores, signs of vitamin and mineral deficiencies, and reduced physical activity. Malnutrition is associated with poor clinical outcomes and quality of life. Various nutrition assessment parameters have been used to determine the presence and degree of malnutrition, including use of anthropometric measurements and laboratory values. In the mid-1980s, the Subjective Global Assessment (SGA) tool was developed in acknowledgement of the physical features of malnutrition; an evaluation of muscle mass, fat stores, edema, and functional capacity was a major component of the SGA. SGA became a gold standard for nutrition assessment. Since then, nutrition assessment evolved from anthropometric tools and laboratory values to one based on the nutrition-focused physical examination (NFPE). NFPE uses a head-to-toe approach to evaluate muscle mass, fat stores, fluid retention, micronutrient deficiencies, and functional capacity. In 2012, the Academy of Nutrition and Dietetics and the American Society for Parenteral and Enteral Nutrition (AND/ASPEN) developed a standardized definition for malnutrition diagnoses for coding and reimbursement; the AND/ASPEN malnutrition diagnosis is derived from the SGA. A few studies demonstrated good agreement between SGA and AND/ASPEN malnutrition criteria in diagnosing malnutrition, and some studies have shown malnutrition, as diagnosed by AND/ASPEN criteria, is associated with poor clinical outcomes. More research is needed to validate the AND/ASPEN malnutrition diagnosis criteria.

AND-ASPEN and ESPEN consensus, and GLIM criteria for malnutrition identification in AECOPD patients: a longitudinal study comparing concurrent and predictive validity

BACKGROUND/OBJECTIVES

Malnutrition in chronic obstructive pulmonary disease (COPD) patients is prevalent and usually assessed by body mass index (BMI), which can lead to misdiagnosis. The subjective global assessment (SGA) is the reference method for this diagnose in hospitalized patients. In the last decade, new tools have emerged Academy of Nutrition and Dietetics-American Society for Parenteral and Enteral Nutrition [AND-ASPEN], European Society for Clinical Nutrition and Metabolism [ESPEN], and Global Leadership Initiative on Malnutrition [GLIM]). Therefore, this study aimed to assess the concurrent and predictive validity of these tools in acute exacerbated COPD (AECOPD) patients.

SUBJECTS/METHODS

Prospective cohort study with hospitalized AECOPD patients. Malnutrition was diagnosed by SGA (reference method), AND-ASPEN, ESPEN, and GLIM consensus. Hospital length of stay (LOS) and mortality were the outcomes evaluated.

RESULTS

In 241 patients (46.5% males; 68.3 ± 10.2 years), malnutrition was found in 50.0% by SGA, 54.4% by AND-ASPEN, 20.2% by ESPEN, and 47.8% by GLIM. AND-ASPEN had the best accuracy (AUC = 0.837; 95% CI 0.783-0.841) and concordance (kappa = 0.674) with SGA and it was an independent predictor of prolonged LOS (OR = 1.73; 95% CI 1.01-3.37). ESPEN consensus did not agree with SGA, but was associated with prolonged LOS (OR = 2.57 95% CI, 1.27-5.20). The GLIM had good concordance (kappa = 0.533) and accuracy with SGA (AUC = 0.768; 95% CI 0.701-0.835), but was not associated with outcomes.

CONCLUSIONS

The AND-ASPEN was the most accurate tool for diagnosing malnutrition in AECOPD patients and was an independent predictor of prolonged LOS.

Low-cost and fast-performing indicators of muscle mass loss are good predictors of clinical outcomes in hospitalized patients: A longitudinal observational study

BACKGROUND

"Gold standard" methods for muscle mass (MM) assessment are expensive and difficult to use in clinical practice. The present study aimed to evaluate the association between easy-to-apply and low-cost indicators of MM and clinical outcomes in hospitalized patients.

METHODS

In this cohort study, calf circumference [CC], adductor pollicis muscle thickness [APMT], midarm muscle circumference [MAMC], and arm muscle area [AMA] were measured within 48 h of admission to detect MM loss, and it was also evaluated by physical examination. Patients were followed up until discharge for collection of in-hospital death and length of hospital stay (LOS) data, and they were contacted by phone to assess hospital readmission and mortality at 6 months after discharge.

RESULTS

We evaluated 601 patients (55.8 ± 14.8 years). Moderate/severe loss of MM (hazard ratio [HR], 4.12; 95% CI, 1.26-13.49), low CC (HR, 3.67; 95% CI: 1.07-12.55), low MAMC (HR, 5.20; 95% CI, 1.48-18.35), and low AMA (HR, 14.28; 95% CI, 1.80-113.14) were predictors of in-hospital mortality. Moderate/severe loss of MM was a predictor of prolonged LOS (odds ratio [OR], 2.27; 95% CI, 1.53-3.36), hospital readmission (OR, 4.14; 95% CI, 1.26-13.55), and mortality at 6 months (OR, 3.20; 95% CI, 1.71-6.01). Low CC (OR, 2.49; 95% CI, 1.27-4.85) and low APMT (OR, 3.22; 95% CI, 1.56-6.66) were associated with death 6 months after discharge.

CONCLUSION

Easy-to-apply and low-cost indicators of MM were associated with negative clinical outcomes and should be part of nutrition assessment in hospitals.

Content and Face Validation of a Novel, Interactive Nutrition Specific Physical Exam Competency Tool (INSPECT) to Evaluate Registered Dietitians' Competence: A Delphi Consensus from the United States

The nutrition-focused physical examination (NFPE) is an integral component of nutrition assessment performed by registered dietitian nutritionists (RDNs) to determine signs of malnutrition and other nutrition-related complications. Increased use of this essential skill among RDNs and the transformation of dietetics education to a competency-based model in the near future calls for appropriately validated tools to measure RDNs' NFPE competence. To fill the need for a validated competency tool, this study developed an Interactive Nutrition-Specific Physical Exam Competency Tool (INSPECT) utilizing the initial 70 items identified in the first phase of the study. The second phase of this study aimed to test the preliminary version of the INSPECT for content and face validity. An expert panel of 17 members provided consensus recommendations through the Delphi process. Internal consistency of the consensus was measured with Cronbach's alpha (α) and α of ≥0.70 was defined as acceptable a priori. Inter-rater agreement among the expert panel was determined using the intraclass correlation coefficient (ICC) and an a priori ICC of 0.75 to 0.9 was established as good and >0.9 as excellent agreement. The results showed acceptable face validity (α = 0.71) and excellent content validity for the INSPECT, with an internal consistency of α = 0.97 in the first round and α = 0.96 in the second round. The inter-rater agreement was also excellent with ICC = 0.95 for each of the Delphi rounds. A total of 52 items were retained from the preliminary version of the INSPECT. Open feedback from the experts allowed for the consolidation of 11 similar items for better scoring and evaluation and thus, a total of 41 items were included in the final version of the INSPECT. The final version of the INSPECT is currently being studied in real-life, multi-site clinical settings among practicing RDNs to examine construct validity, reliability, and item-level psychometric properties. Ultimately, the validated INSPECT will be available for the competency evaluation of RDNs practicing in clinical settings.

Using the theoretical domains framework to inform strategies to support dietitians undertaking body composition assessments in routine clinical care

BACKGROUND

Malnutrition, sarcopenia and cachexia are clinical wasting syndromes characterised by muscle loss. Systematic monitoring by body composition assessment (BCA) is recommended for the diagnosis, treatment and monitoring of the syndrome(s). This study investigated practices, competency, and attitudes of Australian dietitians regarding BCA, to inform a local implementation process.

METHODS

Applying the Action cycle in the Knowledge to Action framework, surveys were distributed to the 26 dietitians of an 800-bed tertiary hospital. The survey assessed barriers and enablers to performing routine BCA in clinical care. Results were categorised using the Theoretical Domains Framework (TDF) and suitable interventions mapped using the Behaviour Change Wheel.

RESULTS

Twenty-two dietitians (84.6%) completed the survey. Barriers to BCA were identified in all TDF domains, particularly in Knowledge, Skills, Social/professional role and identity, Beliefs about capabilities, and Environmental context and resources. Enablers existed in domains of: Skills; Beliefs about consequences; Goals; Environmental context and resources; Social influences; Intentions; Optimism; Reinforcement.

CONCLUSIONS

This study showed that hospital dietitians experience individual, team, and organisational barriers to adopt BCAs in clinical practice. We were able to formulate targeted implementation strategies to overcome these barriers to assist BCA adoption into routine practice.

Item Generation in the Development of an Interactive Nutrition Specific Physical Exam Competency Tool (INSPECT): A Qualitative Study Utilizing Technology-Based Focus Groups in the United States

An alarming 30% to 50% prevalence rate of disease-related malnutrition among hospitalized patients compels the need for early diagnosis and treatment of malnutrition. Registered Dietitian Nutritionists (RDNs) can utilize the nutrition-focused physical examination (NFPE) as one of the nutrition assessment criteria to accurately diagnose malnutrition. Although RDNs are striving to employ NFPE in practice, a lack of experience and adequate training impedes full utilization of this technique. This results in wide skill variations requiring continuous evaluation of RDNs’ NFPE competency. However, a standardized, validated competency tool is not widely available and hence this study aims to develop a standardized, interactive nutrition-specific physical exam competency tool (INSPECT). As a first step in the development of INSPECT, a qualitative, technology-based focus group approach with 7 content and practice experts was utilized to generate appropriate tool items. A total of 70 NFPE items under 9 areas including 12 items for muscle loss, 4 items for subcutaneous fat loss, 31 items for micronutrient deficiencies, 1 item for fluid status, 2 items for handgrip strength, 5 items for initial preparation, 4 items for bedside manner, 8 items for swallowing, and 3 items for abdominal evaluation were generated. This study successfully utilized technology-based focus groups to generate appropriate NFPE items for the competency tool development. Using the items, an initial version of INSPECT has been developed, which is presently being investigated for content and face validity. The final version will undergo field tests and will be examined for reliability, validity, and item-level psychometric properties.

Nutrition status mediates the association between cognitive decline and sarcopenia

In this study, we investigated whether nutrition status mediates the relationship between cognitive decline and sarcopenia. Sarcopenia was assessed in 4023 community-dwelling older adults from West China using the AWGS 2014 diagnostic criteria. Cognitive function and nutrition status were assessed using the 10-item Short Portable Mental Status Questionnaire (SPMSQ) and Mini Nutrition Assessment-Short Form (MNA-SF) scale, respectively. Mediation model regression analysis demonstrated that nutrition status was negatively associated with sarcopenia (β = -0.521; 95% CI: -0.583 to -0.459). The indirect effects of cognitive decline on sarcopenia were significant after adjusting for age, sex, and ethnicity (β = 0.015; 95% CI: 0.012 to 0.017), but the direct effects of cognitive decline on sarcopenia were not statistically significant after adding nutrition status as a parameter in the mediation model analysis (β = -0.001; 95% CI: -0.008 to 0.005). Structural equation model (SEM) framework pathway analysis confirmed the association between nutrition status, cognitive decline, and sarcopenia. These findings demonstrate that the negative effects of cognitive decline on sarcopenia were mediated by nutrition status. We therefore postulate that maintaining a good nutrition status delays the negative effects of cognitive decline on sarcopenia in older adults.

Identifying and Assessing Inter-Muscular Fat at the Distal Diaphyseal Femur Measured by Peripheral Quantitative Computed Tomography (pQCT)

INTRODUCTION

Inter-/intramuscular fat can be assessed with peripheral Quantitative Computed Tomography (pQCT) and is of interest as an indicator of "muscle quality." Typical pQCT scan sites (forearm, lower leg) have a low amount of inter-/intramuscular fat, however distal diaphyseal femur scan sites with conspicuous inter-/intramuscular fat have been identified as potentially more prudent scan sites, even in healthy adolescents. However, current state of the art analysis methods require labor-intensive manual segmentation of the scan. The purpose of the present study was to evaluate the reliability of a novel open source automated enclosing convex polygon approach (source code https://github.com/tjrantal/pQCT, commit cec9bce) to quantify inter-/intramuscular fat from femoral pQCT scans in healthy adults.

METHODOLOGY

The distal diaphyseal femur (25% of tibial length from the knee joint towards the hip) of 27 adults aged 18-50 yr were scanned twice, 1 wk apart, using pQCT. Subcutaneous fat, muscle, inter-/intramuscular fat, and marrow areas, and corresponding densities were evaluated using a method we have reported previously, as well as the novel enclosing convex polygon method.

RESULTS

The session-to-session reliability of the assessments was fair to excellent using the previously reported method as indicated by intraclass correlation coefficient (ICC_2,1) ranging from 0.45 to 1.00, while the novel method produced excellent reliability (ICC_2,1 0.78-1.00).

CONCLUSION

Distal diaphyseal femur appears to be a potentially informative and prudent scan site for inter-/intramuscular fat evaluation with pQCT.

Microbiota control of maternal behavior regulates early postnatal growth of offspring

Maternal behavior is necessary for optimal development and growth of offspring. The intestinal microbiota has emerged as a critical regulator of growth and development in the early postnatal period life. Here, we describe the identification of an intestinal Escherichia coli strain that is pathogenic to the maternal-offspring system during the early postnatal stage of life and results in growth stunting of the offspring. However, rather than having a direct pathogenic effect on the infant, we found that this particular E. coli strain was pathogenic to the dams by interfering with the maturation of maternal behavior. This resulted in malnourishment of the pups and impaired insulin-like growth factor 1 (IGF-1) signaling, leading to the consequential stunted growth. Our work provides a new understanding of how the microbiota regulates postnatal growth and an additional variable that must be considered when studying the regulation of maternal behavior.

Computed-Tomography Body Composition Analysis Complements Pre-Operative Nutrition Screening in Colorectal Cancer Patients on an Enhanced Recovery after Surgery Pathway

Pre-operative nutrition screening is recommended to identify cancer patients at risk of malnutrition, which is associated with poor outcomes. Low muscle mass (sarcopenia) and lipid infiltration to muscle cells (myosteatosis) are similarly associated with poor outcomes but are not routinely screened for. We investigated the prevalence of sarcopenia and myosteatosis across the nutrition screening triage categories of the Patient-Generated Subjective Global Assessment Short Form (PG-SGA_SF) in a pre-operative colorectal cancer (CRC) cohort. Data were prospectively collected from patients scheduled for surgery at two sites in Edmonton, Canada. PG-SGA_SF scores ≥ 4 identified patients at risk for malnutrition; sarcopenia and myosteatosis were identified using computed-tomography (CT) analysis. Patients (n = 176) with a mean age of 63.8 ± 12.0 years, 52.3% male, 90.3% with stage I–III disease were included. Overall, 25.2% had PG-SGA_SF score ≥ 4. Sarcopenia alone, myosteatosis alone or both were identified in 14.0%, 27.3%, and 6.4% of patients, respectively. Sarcopenia and/or myosteatosis were identified in 43.4% of those with PG-SGA_SF score < 4 and in 58.5% of those with score ≥ 4. Overall, 32.9% of the cohort had sarcopenia and/or myosteatosis with PG-SGA_SF score < 4. CT-defined sarcopenia and myosteatosis are prevalent in pre-operative CRC patients, regardless of the presence of traditional nutrition risk factors (weight loss, problems eating); therefore, CT image analysis effectively adds value to nutrition screening by identifying patients with other risk factors for poor outcomes.

The GLIM criteria for adult malnutrition and its relation with adverse outcomes, a prospective observational study

BACKGROUND & AIMS

Malnutrition is considered a risk factor for many complications and mortality among hospitalized patients. Until 2016 there was a wide variety of clinical definitions for malnutrition, until the GLIM criteria proposed a consensual definition. The main goal of this study is to assess the performance of the GLIM criteria at acute care admission to detect those patients with adverse clinical outcomes such as mortality and the need to be transferred to critical care areas (CCA).

METHODS

This was a prospective observational study including every adult patient admitted to the regular ward of the Hospital San Ángel Inn Universidad. Every nutrition and demographic variable evaluated by the nutrition team at hospital admission was captured. The malnutrition definition according to the GLIM and separate criteria were tested for their performance to detect patients at high risk for adverse outcomes (mortality and the need to be transferred to CCA), using odd ratios (OR), their confidence interval of 95% (CI95%) and binary logistic regression accordingly.

RESULTS

A total of 1015 patients were included in the final analysis, with a prevalence of 18.9% of malnutrition (according to the GLIM definition) at hospital admission. Malnutrition was associated with mortality (OR of 59.69,CI95% 7.76-459.28) and unplanned transfer to CCA (OR of 9.453, CI95%4.35-20.56). However, despite being sensitive, the GLIM definition of malnutrition, displayed low positive predictive value, and was therefore associated with many false positives. There was a trend for higher risks for adverse outcomes with higher severity of malnutrition. Muscle wasting, chronic and acute inflammation were independent predictors for mortality and for unplanned transfer to CCA.

CONCLUSIONS

Malnutrition according to the GLIM criteria is strongly associated with mortality and transfer to CCA. Muscle wasting and inflammation (acute and chronic) were independently associated with these outcomes.

Malnutrition is associated with dynamic physical performance

BACKGROUND

Malnutrition and poor physical performance are both conditions that increase in prevalence with age; however, their interrelation in a clinically relevant population has not been thoroughly studied.

AIMS

This study aimed to determine the strength of the association between malnutrition and measures of both static and dynamic physical performance in a cohort of geriatric outpatients.

METHODS

This cross-sectional study included 286 older adults (mean age 81.8, SD 7.2 years, and 40.6% male) who were referred to geriatric outpatient mobility clinics. The presence of malnutrition was determined using the Short Nutritional Assessment Questionnaire (SNAQ, cut-off ≥ 2 points). Measures of dynamic physical performance included timed up and go (TUG), 4-m walk test, and chair stand test (CST). Static performance encompassed balance tests and hand grip strength (HGS). Physical performance was standardized into sex-specific Z-scores. The association between malnutrition and each individual measure of physical performance was assessed using linear regression analysis.

RESULTS

19.9% of the cohort was identified as malnourished. Malnutrition was most strongly associated with CST and gait speed; less strong but significant associations were found between malnutrition and TUG. There was no significant association between malnutrition and HGS or balance.

DISCUSSION

Physical performance was associated with malnutrition, specifically, dynamic rather than static measures. This may reflect muscle power being more impacted by nutritional status than muscle strength; however, this needs to be further addressed.

CONCLUSIONS

Malnutrition is associated with dynamic physical performance in geriatric outpatients, which should inform diagnosis and treatment/prevention strategies.

Brazilian Nutritional Consensus in Hematopoietic Stem Cell Transplantation: Adults

The nutritional status of patients submitted to hematopoietic stem cell transplant is considered an independent risk factor, which may influence on quality of life and tolerance to the proposed treatment. The impairment of nutritional status during hematopoietic stem cell transplant occurs mainly due to the adverse effects resulting from conditioning to which the patient is subjected. Therefore, adequate nutritional evaluation and follow-up during hematopoietic stem cell transplant are essential. To emphasize the importance of nutritional status and body composition during treatment, as well as the main characteristics related to the nutritional assessment of the patient, the Brazilian Consensus on Nutrition in Hematopoietic Stem Cell Transplant: Adults was prepared, aiming to standardize and update Nutritional Therapy in this area. Dietitians, nutrition physicians and hematologists from 15 Brazilian centers thar are references in hematopoietic stem cell transplant took part.

GLIM criteria has fair sensitivity and specificity for diagnosing malnutrition when using SGA as comparator

BACKGROUND & AIMS

The Global Leadership Initiative on Malnutrition (GLIM) proposed a new framework for diagnosing malnutrition based on combinations of phenotypic and etiologic criteria. The aim of this study was to compare GLIM criteria to Subjective Global Assessment (SGA) judged to be the most validated standardized assessment of malnutrition.

METHODS

This is a retrospective analysis of variables extracted from a prospective cohort study assessing malnutrition at admission, in 18 Canadian hospitals. Based on the available parameters, GLIM was compared to SGA using the following combinations of one phenotypic and one etiologic criteria: A. weight loss and low intake; B. weight loss and high C-reactive protein (CRP); C. low body mass index (BMI) and low intake; D. low BMI, high CRP. Data were not available for fat-free mass. Since all patients had acute or chronic active disease as per GLIM etiologic criterion, CRP was used as a more specific measure to define inflammation. Sensitivity, specificity, positive (PPV) and negative (NPV) predictive values were calculated. Data are expressed as mean and Clopper-Pearson exact 95% confidence interval (CI).

RESULTS

From 1022 patients in the original dataset, 784 had all considered parameters with a prevalence of malnutrition (SGA B or C) of 45.15% (CI 41.60, 48.70), where severe malnutrition (SGA C) was 11.73% (CI 9.57, 14.20). Using the available GLIM parameters with the above combinations of two-criteria, the prevalence of malnutrition was 33.29% (CI 30.00, 36.71) and severe malnutrition was 19.77% (CI 17.00, 22.70). For all criteria combinations of GLIM together versus SGA, sensitivity was 61.30% (CI 56.0, 66.4), specificity was 89.77% (CI 86.5, 92.5) and PPV was 83.14% (CI 78.0, 87.5) while NPV was 73.80 (CI 69.8, 77.5). Sensitivity was improved when only SGA C for severe malnutrition was used as the criterion (82.61%; CI 73.3, 89.7) but PPV was greatly reduced (29.12%; CI 23.7, 35.0). Similarly, when using GLIM criteria for severe malnutrition only, sensitivity improved (76.09%; CI 66.1, 84.4). Any two criteria combinations of GLIM had much poorer sensitivity with the highest being weight loss + high CRP (46.33%) with a specificity of 93.02% (PPV: 84.54%; NPV: 67.80%), while the combination of low BMI + low intake had the highest specificity (98.84%) but with a sensitivity of 15.54% (PPV 91.67%; NPV: 58.70%).

CONCLUSIONS

Based on the CMTF dataset and using SGA as the most validated tool for diagnosing malnutrition, the two criteria combinations used for GLIM in the present study had fair criterion validity for the diagnosis of malnutrition, regardless of severity status. The best combinations were weight loss and high CRP or weight loss and low intake, both having high specificity at diagnosing malnutrition but unacceptably low sensitivity, and thus were considered poor. There may be potential for the full framework to be used to diagnose malnutrition, but individual combinations of two criteria when used exclusively will miss malnourished patients, as defined by SGA.

Effect of tooth loss and nutritional status on outcomes after ischemic stroke

OBJECTIVES

Tooth loss, closely associated with malnutrition, increases the risk for cardiovascular disease. The aim of this study was to examine the link between tooth loss, nutritional status, and stroke outcomes.

METHODS

We retrospectively analyzed 195 consecutive patients with acute ischemic stroke who were evaluated for tooth loss. Tooth loss was classified as mild or severe. Nutritional status was evaluated using the Controlling Nutritional Status (CONUT) score. A poor neurologic outcome was defined as a score of 3 to 6 on the modified Rankin Scale at 3 mo post-stroke onset; a score of 0 to 2 was defined as a good outcome.

RESULTS

A significant correlation was observed between tooth loss and the CONUT score at admission (ρ = 0.156; P = 0.034). Patients with poor outcomes had higher CONUT scores (P < 0.001) and a greater frequency of severe tooth loss (P = 0.025). On multivariate analysis, severe tooth loss (odds ratio [OR], 3.93; 95% confidence interval [CI], 1.31-11.8) and the CONUT score (OR, 1.33; 95% CI, 1.02-1.74) were independently associated with poor stroke outcomes.

CONCLUSIONS

Nutritional status was associated with tooth loss among patients with acute ischemic stroke. Severe tooth loss and a higher CONUT score were independently associated with poor stroke outcomes.

Parameters of Bioelectrical Impedance Are Good Predictors of Nutrition Risk, Length of Stay, and Mortality in Critically Ill Patients: A Prospective Cohort Study

BACKGROUND

Assessment of nutrition risk in the intensive care unit (ICU) is limited by characteristics of critically ill patients, and new methods have been investigated for their applicability and predictive validity. The aim of the present study was to evaluate the validity of bioelectrical impedance analysis (BIA) parameters as predictors of nutrition risk and clinical outcomes in critically ill patients.

METHODS

This was a prospective cohort study of patients admitted to an ICU. The modified Nutrition Risk in the Critically Ill score was used for assessment of nutrition risk, and BIA was performed in the first 72 hours of admission. Phase angle (PA) measurements were obtained, and bioelectrical impedance vector analysis (BIVA) was used to classify patients by hydration status (BIVA >70%). Patients were followed until hospital discharge and evaluated for hospital mortality, ICU length of stay, length of hospitalization, and duration of mechanical ventilation.

RESULTS

Eighty-nine patients were included (62.5 ± 14.1 years, 50.6% female). A PA <5.5^o showed an accuracy of 79% (95% CI 0.59-0.83) in identifying patients at high nutrition risk and was associated with nearly 2 times greater risk for an ICU length of stay longer than 5 days (relative risk = 2.18 [95% CI 1.39-3.40]). Hyperhydration was a significant predictor of mortality (hazard ratio = 2.24 [95% CI 1.07-4.68]). Higher resistance and reactance values, adjusted for height, were found in survivors compared with nonsurvivors.

CONCLUSION

The predictive validity of BIA was satisfactory for the assessment of nutrition risk, ICU length of stay, and mortality in critically ill patients.

Subjective Global Assessment Can Be Performed in Critically Ill Surgical Patients as a Predictor of Poor Clinical Outcomes

BACKGROUND

There is limited evidence on the applicability of subjective global assessment (SGA) in critically ill patients, despite its good performance in diagnosing undernutrition in clinical and surgical patients. Our aim was to evaluate the association between SGA and anthropometric measures and the performance of SGA in predicting clinical outcomes and mortality in critically ill surgical patients.

METHODS

This observational prospective study was carried out with patients admitted to the surgical intensive care unit (SICU) of a Brazilian hospital. Nutrition assessment comprised anthropometric measures (weight and height for body mass index [BMI] calculation, mid-arm circumference [MAC] and calf circumference [CC]), and the SGA. Patients were followed up until hospital discharge for measurement of the following outcomes: length of stay (LOS), SICU LOS, and hospital mortality.

RESULTS

This study included 76 surgical patients admitted to an SICU (64.9% males; 87% white ethnicity; mean age, 60.36 ± 16.24 years). According to the SGA, the prevalence of undernutrition was 60.5% (moderate undernutrition = 38.2%; severe undernutrition = 22.4%), and well-nourished 39.0%. Patients with severe undernutrition had lower values of current weight, BMI, MAC, and CC compared with well-nourished patients. The presence of undernutrition increased the risk of LOS >31 days by 2.57 (1.38-4.77) times, but it was not associated with mortality.

CONCLUSIONS

Patients with severe undernutrition had lower current weight, BMI, MAC, and CC compared with well-nourished patients. Undernutrition did not increase the risk of death; however, it did increase the relative risk for a longer hospital stay by 2.5.

Optimizing Nutrition for the Surgical Patient: An Evidenced Based Update to Dispel Five Common Myths in Surgical Nutrition Care

Traditional practices in the delivery of nutrition to the surgical patient include reliance on nonspecific laboratory markers to define malnutrition, prolonged periods of nil per os, early and liberal initiation of parenteral nutrition, withholding enteral feedings based on gastric residual volume measurements, and pursuing feeding tube access for most patients unable to take oral nutrition. However, recent studies call into question all of these practices. This review aims to provide evidenced-based support to abandon these myths regarding nutrition delivery and offer practical up-to-date advice for best practices in patient care.

Diagnosing clinical malnutrition: Perspectives from the past and implications for the future

This review, intended for both researchers and clinicians, provides a history of the definition of clinical malnutrition. Despite global efforts, we remain without one clear, objective, internationally accepted definition; clarity in this regard will ultimately improve our evaluation and monitoring of nutritional status to achieve optimal patient outcomes. In this review we explore the development of the term malnutrition and its diagnosis and application in the setting of acute and chronic disease. We begin in the second century A.D. with the work of the Greek physician Galen who is credited as the first to apply the term marasmus to characterize three categories of malnutrition, which are surprisingly similar to components of current international definitions. We then highlight significant developments over the next 2000 years culminating in our current application of the clinical diagnosis of malnutrition. A perspective on historical practices may inform current efforts toward a global definition and diagnosis of malnutrition.

High-Protein Hypocaloric Nutrition for Non-Obese Critically Ill Patients

High-protein hypocaloric nutrition, tailored to each patient's muscle mass, protein-catabolic severity, and exogenous energy tolerance, is the most plausible nutrition therapy in protein-catabolic critical illness. Sufficient protein provision could mitigate the rapid muscle atrophy characteristic of this disease while providing urgently needed amino acids to the central protein compartment and sites of tissue injury. The protein dose may range from 1.5 to 2.5 g protein (1.8-3.0 g free amino acids)/kg dry body weight per day. Nutrition should be low in energy (≈70% of energy expenditure or ≈15 kcal/kg dry body weight per day) because efforts to match energy provision to energy expenditure are physiologically irrational, risk toxic energy overfeeding, and have repeatedly failed in large clinical trials to demonstrate clinical benefit. The American Society for Parenteral and Enteral Nutrition currently suggests high-protein hypocaloric nutrition for obese critically ill patients. Short-term high-protein hypocaloric nutrition is physiologically and clinically sensible for most protein-catabolic critically ill patients, whether obese or not.

Assessment of nutritional status in the elderly: a proposed function-driven model

Background

There is no accepted or standardized definition of ‘malnutrition’. Hence, there is also no definition of what constitutes an adequate nutritional status. In elderly people, assessment of nutritional status is complex and is complicated by multi-morbidity and disabilities combined with nutrition-related problems, such as dysphagia, decreased appetite, fatigue, and muscle weakness.

Objective

We propose a nutritional status model that presents nutritional status from a comprehensive functional perspective. This model visualizes the complexity of the nutritional status in elderly people.

Design and results

The presented model could be interpreted as the nutritional status is conditional to a person’s optimal function or situation. Another way of looking at it might be that a person’s nutritional status affects his or her optimal situation. The proposed model includes four domains: (1) physical function and capacity; (2) health and somatic disorders; (3) food and nutrition; and (4) cognitive, affective, and sensory function. Each domain has a major impact on nutritional status, which in turn has a major impact on the outcome of each domain.

Conclusions

Nutritional status is a multifaceted concept and there exist several knowledge gaps in the diagnosis, prevention, and optimization of treatment of inadequate nutritional status in elderly people. The nutritional status model may be useful in nutritional assessment research, as well as in the clinical setting.

Point-of-Care Ultrasound to Evaluate Thickness of Rectus Femoris, Vastus Intermedius Muscle, and Fat as an Indicator of Muscle and Fat Wasting in Critically Ill Patients in a Multidisciplinary Intensive Care Unit

Background:

Muscular atrophy is the universal feature in patients with ICUAW. Muscles of the lower limb are more prone to early atrophy. Measurement of fat thickness is used to assess malnutrition. This study was designed to evaluate if, subcutaneous fat also reduces along with muscle thickness and if it can be reliably used as an indicator of nutritional assessment in critically ill patients using point of care ultrasound.

Materials and Methods:

An observational clinical study of 100 patients admitted to multidisciplinary intensive care units (ICUs). Total anterior thigh thickness, thickness of the rectus femoris muscle, fat thickness, and the combined thickness of vastus intermedius and rectus femoris were taken on day 1, 3, and 7 of ICU admission.

Results:

There was progressive loss of muscle mass from day 1 to day 7. Muscle loss was not only limited to rectus femoris, but vastus intermedius also showed a significant decrease as indicated by the bone to muscle measurement. Skin to bone measurement which includes both muscle and fat compartment showed a decline.

Conclusions:

There is potential utility of ultrasound for early detection and probable corrective measures to prevent ICUAW. The rectus femoris thickness, skin to bone, and bone to muscle thickness show statistically significant difference on day 3, day 7 compared to day 1. Fat layer did not show statistically significant decrease.

Will We Ever Agree on Protein Requirements in the Intensive Care Unit?

The precise value of the normal adult protein requirement has long been debated. For many reasons-one of them being the difficulty of carrying out long-term nutrition experiments in free-living people-uncertainty is likely to persist indefinitely. By contrast, the controlled environment of the intensive care unit and relatively short trajectory of many critical illnesses make it feasible to use hard clinical outcome trials to determine protein requirements for critically ill patients in well-defined clinical situations. This article suggests how the physiological principles that underlie our understanding of normal protein requirements can be incorporated into the design of such clinical trials. The main focus is on 3 principles: (1) the rate of body nitrogen loss roughly predicts an individual's minimum protein requirement and is thus essential to measure to identify individual patients and clinical situations in which the minimum protein requirement is importantly increased, (2) existing muscle mass sets an upper limit on the rate at which amino acids can be mobilized from muscle for transfer to central proteins and sites of injury and is thus important to monitor to identify patients who are at greatest risk of protein deficiency-related adverse outcomes, and (3) negative energy balance increases the dietary protein requirement, so calorie-deprived patients-whether obese or not-should be enrolled in hard clinical outcome trials that compare the current practice of "permissive underfeeding" (underprovision of all nutrients, including protein) with hypocaloric nutrition supplemented by a suitably generous amount of protein.

Nutritional status and weakness following pediatric hematopoietic cell transplantation

Survivorship after pediatric HCT has increased over the past decade. Focus on long-term care and well-being remains critical due to risk of poor dietary habits and exaggerated sedentary behavior, which can lead to muscle weakness, increased risk for obesity, and cardiometabolic disorders. Nutrition and physical activity are key factors in survivorship; however, data are limited. Comprehensive nutritional assessments, including nutrition-focused physical examination, grip strength, and food/activity surveys, were completed in 36 pediatric HCT survivors (aged 2-25 years). Patients were divided into undernutrition, normal-nutrition, and overnutrition categories. Fifty percent of participants were classified as normal nutrition, 22% undernutrition, and 28% overnutrition. Few patients met the U.S. Dietary Guidelines recommended intake for vegetables, fiber, saturated fat, and So FAS. Patients in the undernutrition group demonstrated significantly lower grip strength than those in the normal- and overnutrition groups. When grip strength was normalized to body mass, patients in the overnutrition group had the highest prevalence of weakness. Using NHANES reference data, maximum grip strength and NGS cutoffs were identified that could significantly distinguish the nutrition groups. Comprehensive nutritional assessments and grip strength measurements are feasible, non-invasive, easy to perform, and inform both under- and overnutrition in pediatric HCT survivors.