Nutritional Considerations in Pediatric Chronic Disease

Risk factors for early occurrence of malnutrition in infants with severe congenital heart disease

To identify the risk factors of early occurrence of malnutrition in infants with severe congenital heart disease (CHD) during their first year of life. Retrospective longitudinal multicenter study carried out from January 2014 to December 2020 in two tertiary care CHD centers. Four CHD hemodynamic groups were identified. Malnutrition was defined by a Waterlow score under 80% and/or underweight under -2 standard deviations. A total of 216 infants with a severe CHD, e.g., requiring cardiac surgery, cardiac catheterization, or hospitalization for heart failure during their first year of life, were included in the study. Malnutrition was observed among 43% of the cohort, with the highest prevalence in infants with increased pulmonary blood flow (71%) compared to the other hemodynamic groups (p < 0.001). In multivariate analysis, low birthweight (OR 0.62, 95% CI 0.44-0.89, p = 0.009), CHD with increased pulmonary blood flow (OR 4.80, 95% CI 1.42-16.20, p = 0.08), heart failure (OR 9.26, 95% CI 4.04-21.25, p < 0.001), and the number of hospitalizations (OR 1.35, 95% CI 1.08 l-1.69, p = 0.009) during the first year of life were associated with malnutrition (AUC 0.85, 95% CI 0.79-0.90).  Conclusions: In infants with a severe CHD, early occurrence of malnutrition during the first year of life affected a high proportion of subjects. CHD with increased pulmonary blood flow, low birthweight, heart failure, and repeated hospitalizations were risk factors for malnutrition. Further studies are required to identify optimal nutritional support in this population. What is Known: • Malnutrition is a known morbidity and mortality factor in children with severe congenital heart disease. What is New: • Early occurrence of malnutrition during the first year of life in infant severe congenital heart disease (CHD) was high (43%). • CHD with increased pulmonary blood flow, low birthweight, heart failure, and repeated hospitalizations during the first year of life were risk factors for malnutrition.

Challenges of diet planning for children using artificial intelligence

BACKGROUND/OBJECTIVES

Diet planning in childcare centers is difficult because of the required knowledge of nutrition and development as well as the high design complexity associated with large numbers of food items. Artificial intelligence (AI) is expected to provide diet-planning solutions via automatic and effective application of professional knowledge, addressing the complexity of optimal diet design. This study presents the results of the evaluation of the utility of AI-generated diets for children and provides related implications.

MATERIALS/METHODS

We developed 2 AI solutions for children aged 3-5 yrs using a generative adversarial network (GAN) model and a reinforcement learning (RL) framework. After training these solutions to produce daily diet plans, experts evaluated the human- and AI-generated diets in 2 steps.

RESULTS

In the evaluation of adequacy of nutrition, where experts were provided only with nutrient information and no food names, the proportion of strong positive responses to RL-generated diets was higher than that of the human- and GAN-generated diets (P < 0.001). In contrast, in terms of diet composition, the experts' responses to human-designed diets were more positive when experts were provided with food name information (i.e., composition information).

CONCLUSIONS

To the best of our knowledge, this is the first study to demonstrate the development and evaluation of AI to support dietary planning for children. This study demonstrates the possibility of developing AI-assisted diet planning methods for children and highlights the importance of composition compliance in diet planning. Further integrative cooperation in the fields of nutrition, engineering, and medicine is needed to improve the suitability of our proposed AI solutions and benefit children's well-being by providing high-quality diet planning in terms of both compositional and nutritional criteria.

Defining Normal Ranges of Skeletal Muscle Area and Skeletal Muscle Index in Children on CT Using an Automated Deep Learning Pipeline: Implications for Sarcopenia Diagnosis

Background: Skeletal muscle area (SMA), representing skeletal muscle cross-sectional area at the L3 vertebral level, and skeletal muscle index (SMI), representing height-normalized SMA, can serve as markers of sarcopenia. Normal SMA and SMI values have been reported primarily in adults. Objective: To use an automated deep-learning (DL) pipeline for muscle segmentation on abdominal CT to define normative age- and sex-based values for pediatric muscle cross-sectional area, as a guide for diagnosis of sarcopenia in children. Methods: This retrospective study reviewed records of patients who underwent abdominal CT at Cincinnati Children's Hospital Medical Center from January 1, 2009 to January 3, 2019. Patients were excluded on the basis of age outside of the eligible range (2.00-18.99 years), body mass index (BMI) outside of 5% to 95% age-based percentiles using CDC and WHO growth charts), known medical condition, medication use, support devices, surgery, or missing axial images at L3 level. A previously validated automated DL pipeline (https://github.com/cchmc-dll/pediatric_sarcopenia_pipeline.git) was used to identify an axial slice at L3 and segment skeletal muscle, to generate SMA and SMI. Pearson correlation coefficients were computed. Quantile regression analysis was used to plot SMA and SMI as functions of age and sex and to determine age- and sex-based percentile values. Results: Of 8817 patients who underwent abdominal CT during the study period, 2168 (mean age, 11.5±45 years; 1125 females, 1043 males) met inclusion criteria. Mean BMI-for-age percentile based on CDC and WHO growth charts was 64.8±25.3% for females and 61.4±25.8% for males. SMA showed strong correlation with weight, height, age, and BMI for males (0.79-0.94) and females (0.75-0.90); SMI showed weak-to-moderate correlation with weight, height, age and BMI for males (0.25-0.57) and females (0.00-0.43). Normal SMA and SMI ranges for age and sex were expressed as curves and as a lookup table, identifying 54 males and 59 females with muscle measurements below the 5-percentile regression curve. Conclusion: By using an automated DL pipeline in a large sample of carefully selected children, normal ranges for SMA and SMI were calculated as functions of age and sex. Clinical Impact: The normative values should aid the diagnosis of sarcopenia in children.

Sarcopenia in Children With End-Stage Liver Disease on the Transplant Waiting List

Sarcopenia predicts morbidity and mortality in adults with end-stage liver disease (ESLD) and is determined by total psoas muscle area (tPMA) measurement from computed tomography (CT) imaging. Recently developed pediatric age- and sex-specific tPMA growth curves provide the opportunity to ascertain prevalence and impact of sarcopenia in children awaiting liver transplantation (LT). This retrospective single-center study evaluated sarcopenia in children between 1 and 16 years with ESLD and a clinically indicated abdominal CT less than 3 months before first isolated LT. Sarcopenia was defined as tPMA z score less than -2 measured at the intervertebral L4-5 level. Patient demographic, biochemical, and outcome data were recorded. tPMA was compared with other measures of nutritional status using univariate and multivariate logistic analyses. Outcome measures included 1-year morbidity events and mortality after LT. CT images from 25 (64% female) children with median age of 5.50 (interquartile range [IQR], 3.75-11.33) years were reviewed. Ten children (40%) had a tPMA z score less than -2. Sarcopenia was associated with lower z scores for weight (odds ratio [OR], 0.38; P = 0.02), height (OR, 0.32; P = 0.03), and nutritional support before LT (OR, 12.93; P = 0.01). Sarcopenic children had a longer duration of pediatric intensive care unit (PICU) stay (3.50 [IQR, 3.00-6.00] versus 2.00 [IQR, 2.00-3.50] days; P = 0.03). Sarcopenia was prevalent in 40% of children with ESLD awaiting LT, and lower tPMA z score was associated with deficient anthropometrics and need for nutritional support before LT. Post-LT PICU duration was increased in children with sarcopenia, reflecting adverse outcomes associated with muscle loss. Further studies are needed to elucidate the underlying mechanisms of sarcopenia in children with ESLD.

Paediatric reference values for total psoas muscle area

BACKGROUND

Sarcopenia, the unintentional loss of skeletal muscle mass, is associated with poor outcomes in adult patient populations. In adults, sarcopenia is often ascertained by cross-sectional imaging of the psoas muscle area (PMA). Although children with chronic medical illnesses may be at increased risk for muscle loss because of nutritional deficiencies, physical deconditioning, endocrine anomalies, and systemic inflammation, consistent quantitative definitions for sarcopenia in children are lacking. We aimed to generate paediatric reference values for PMA at two intervertebral lumbar levels, L3-4 and L4-5.

METHODS

In this cross-sectional study, we analysed abdominal computed tomography scans of consecutive children presenting to the emergency department. Participants were children 1-16 years who required abdominal cross-sectional imaging after paediatric trauma between January 1, 2005 and December 31, 2015 in a large Canadian quaternary care centre. Children with a documented chronic medical illness or an acute spinal trauma at presentation were excluded. Total PMA (tPMA) at levels L3-4 and L4-5 were measured in square millimetres (mm² ) as the sum of left and right PMA. Age-specific and sex-specific tPMA percentile curves were modelled using quantile regression.

RESULTS

Computed tomography images from 779 children were included. Values of tPMA at L4-5 were significantly larger than at L3-4 at all ages, but their correlation was high for both girls (r = 0.95) and boys (r = 0.98). Amongst girls, tPMA 50th percentile values ranged from 365 to 2336 mm² at L3-4 and from 447 to 2704 mm² for L4-5. Amongst boys, 50th percentile values for tPMA ranged between 394 and 3050 mm² at L3-4 and from 498 to 3513 mm² at L4-5. Intraclass correlation coefficients were excellent at L3-4 (0.97, 95% CI 0.94 to 0.981) and L4-5 (0.99, 95% CI 0.986 to 0.995). Weight and tPMA were correlated, stratified by sex for boys (L3-4 r = 0.90; L4-5 r = 0.90) and for girls (L3-4 r = 0.87; L4-5 r = 0.87). An online application was subsequently developed to easily calculate age-specific and sex-specific z-scores and percentiles.

CONCLUSIONS

We provide novel paediatric age-specific and sex-specific growth curves for tPMA at intervertebral L3-4 and L4-5 levels for children between the ages of 1-16 years. Together with an online tool (https://ahrc-apps.shinyapps.io/sarcopenia/), these tPMA curves should serve as a reference enabling earlier identification and targeted intervention of sarcopenia in children with chronic medical conditions.

Pediatric Sarcopenia: A Paradigm in the Overall Definition of Malnutrition in Children?

BACKGROUND

Malnutrition is a common complication in children with chronic diseases. Sarcopenia is one component of malnutrition, characterized by reduced skeletal muscle mass (SMM) and muscle function. The presence of sarcopenia is associated with adverse outcomes in children. Although there is growing research interest in sarcopenia, no review has been done on this novel concept in pediatrics. The purpose of this review was to explore current evidence in sarcopenia with and without obesity and to evaluate the knowledge gaps in the assessment of childhood sarcopenia.

METHODS

A total of 12 articles retrieved from PubMed or Web of Science databases were included.

RESULTS

Limited studies have elucidated sarcopenia in pediatrics. Challenges in sarcopenia assessment include heterogeneity in definition and absence of standardized body composition methods used to measure SMM and muscle function tests. There is a lack of age-specific and gender-specific normative data for SMM, particularly in young children and infants. None of the studies incorporated muscle function assessment, causing potential bias and misclassification of sarcopenia. The research in childhood sarcopenia is also hampered by low study quality, limited number of outcomes-based research, and lack of longitudinal data.

CONCLUSION

Consensus needs to be reached in methodological approaches in sarcopenia diagnosis, body composition measurements, and age-appropriate muscle function tests in pediatrics. Careful considerations on growth, neurocognitive status, and factors influencing development in various clinical populations are warranted. Early identification of sarcopenia is crucial to enable targeted treatment and prevention to be carried out across the pediatric clinical populations.

Ready-to-Use Supplemental Food for Nutritional Supplementation in Cystic Fibrosis

Undernutrition is common in cystic fibrosis (CF) and is correlated with long-term outcomes, yet current nutritional interventions have not demonstrated consistent improvements in energy intake, and subsequently, growth. Development of novel nutritional interventions to increase energy intake is essential to improve clinical outcomes of individuals with CF. Ready-to-use supplemental food (RUSF) is a modifiable, inexpensive, palatable, safe, and nutrient-dense food for treatment or prevention of acute malnutrition in developing countries. Utilizing a linear-programming tool we identified 6 RUSF formulations with sufficient nutrient density (495 kcal/100 g), protein, and fat for children with CF. Palatability was established by a taste-trial and affirmed by a 2-wk tolerability assessment that demonstrated consistent consumption and tolerance of the RUSF. Although preliminary, this study demonstrates the potential for developing RUSF as a nutritional supplement for increasing energy intake in children with CF.

General Nutrition and Fitness for the Child with Rheumatic Disease

As a result of new medications and therapeutic approaches, most children with rheumatic diseases are no longer at risk for growth failure which results from chronic inflammation and prolonged corticosteroid treatment. However, obesity, poor nutrition, and insufficient exercise are still problems which increase risks for poor bone, cardiovascular, and general health. Diet should be monitored and modified as appropriate; supplemental calcium and Vitamin D should be provided. Obesity and poor physical fitness can be ameliorated by an exercise program that should become part of a more healthy lifestyle.