Malnutrition among Hospitalized Children in the United States: A 2012-2019 Update of Annual Trends.

BACKGROUND: Malnutrition is associated with adverse clinical outcomes and increased health care utilization for hospitalized children. Yet pediatric malnutrition often goes undiagnosed and national prevalence research in this population is scarce. OBJECTIVE: The aim was to assess change in the coded diagnosis of malnutrition (CDM) among US hospitalized children given increased awareness of the need for improved recognition and standardized diagnosis. DESIGN: Retrospective, cross-sectional analysis using nationally representative data from the Nationwide Inpatient Sample. PARTICIPANTS/SETTING: Our sample was 13.2 million hospitalizations from 2012 to 2019 among pediatric patients between age 1 month and 17 years. MAIN OUTCOME MEASURE: CDM using International Classification of Diseases Ninth and 10th Revision-Clinical Modification diagnosis codes. STATISTICAL ANALYSES: Descriptive statistics and sampling weights were used to estimate the national frequency and prevalence of CDM. Temporal trends in CDM overall and stratified by age, race/ethnicity, and hospital type were analyzed using joinpoint regression. RESULTS: CDM prevalence increased from 3.9% in 2012 to 6.4% in 2019. During this period, failure to thrive decreased from 40.6% to 23.3% of all cases with concomitant increases in the diagnosis of protein-calorie malnutrition and children identified with more than one malnutrition subtype. Differences in CDM diagnoses are evident by hospital type, race/ethnicity, and age of the patient. CONCLUSIONS: Although pediatric malnutrition continues to be underdiagnosed in hospital settings, this study demonstrates improvement over time. There continues to be a need for continued professional education regarding best practices for diagnosis to improve health care provider knowledge and self-efficacy on this topic, especially in nonteaching hospitals.

Pediatric malnutrition screening and assessment tools: Analyzing the gaps.

Pediatric healthcare professionals know that children who are malnourished have worse clinical outcomes than do their well-nourished peers. The body of evidence in the literature on the topic of pediatric malnutrition (PMN) is growing and supports this conclusion. The goal of this article is to present the current state of practice related to PMN screening, the use of malnutrition risk screening (MNRS) tools, malnutrition assessment, and the use of malnutrition assessment tools. The purpose is also to discuss best practice for MNRS and assessment and to consider the gaps in practice where additional work is needed.

Applying the recommended indicators for the diagnosis of preterm and neonatal malnutrition: Answers to frequently asked questions.

In 2018, a committee of expert preterm/neonatal registered dietitian nutritionists published recommended indicators for the diagnosis of malnutrition in preterm infants and neonates. This was in response to a need for indicators appropriate to the preterm/neonatal population, given the emphasis on diagnosing malnutrition in the pediatric and adult population. Since the publication, the authors have received numerous questions regarding the application and use of the indicators. This paper answers questions regarding the three categories of indicators and billing and reimbursement. The goal is to develop uniformity in the application of the malnutrition indicators for quality improvement and research efforts.

Food Insecurity and Pediatric Malnutrition Related to Under- and Overweight in the United States: An Evidence Analysis Center Systematic Review.

Both food insecurity and malnutrition are associated with adverse health outcomes in the pediatric population. However, the research on the relationship between these factors has been inconsistent, leading to uncertainty regarding whether or how evaluation of food insecurity should be incorporated into nutrition screening or the nutrition care process. The objective of this systematic review was to determine the association between food insecurity and malnutrition related to undernutrition or overnutrition (defined by anthropometrics) in the pediatric population in the United States. A literature search was conducted using Medline, Embase, and CINAHL databases for studies published from January 2002 through November 2017. A total of 23 studies (19 cross-sectional and 4 prospective cohort studies) met inclusion criteria and were included in qualitative analysis. In 6 studies, there was no overall relationship between food insecurity and underweight. All included studies examined the relationship between food insecurity status and overweight/obesity and results were mixed, with large cross-sectional studies demonstrating a positive relationship between food insecurity and overweight/obesity. There were no clear patterns according to subpopulation. Evidence quality was graded as fair due to heterogeneity in how food insecurity was measured and populations included as well as inconsistency in results. Use of a 2-item food insecurity screening tool may allow for efficient, effective screening of food insecurity in order to identify potential contributors overweight and obesity.

Current Practices Using Pediatric Malnutrition Indicators: A Survey of Dietitians Working in Pediatrics.

BACKGROUND: In 2014, the Academy of Nutrition and Dietetics and the American Society for Parenteral and Enteral Nutrition recommended indicators to identify malnutrition in children aged 1 month to 18 years. The purpose of this study was to evaluate current practices and the effectiveness of the consensus statement-recommended pediatric malnutrition indicators. METHODS: A cross-sectional electronic survey link was posted in the Pediatric Nutrition Practice Group (subscribers = 3160) and Clinical Nutrition Management Practice Group's Pediatric Subunit (subscribers = 177) community discussion boards. Additionally, flyers with the survey link were distributed to registered dietitian nutritionists (RDNs) currently working in pediatrics at the 2018 Food & Nutrition Conference & Expo. Frequencies described participant characteristics, awareness of indicators, and use of indicators. Researchers used the Fisher exact test to determine associations between categorical variables. RESULTS: Two hundred eighty-one surveys were included in data analysis. A majority of RDNs (88.6%) reported they knew the indicators existed and considered themselves knowledgeable about the indicators. Weight loss was the most frequently used indicator, with 224 RDNs (80%) reporting use as often or always. Mid-upper arm circumference (MUAC) was the least used indicator with only 68 RDNs (25%) using it often or always. Most RDNs (71.5%) reported that their facility used International Classification of Disease, Tenth Revision codes to document malnutrition. CONCLUSION: RDNs working with pediatric populations consistently use the recommended malnutrition indicators; however, further education is needed on the appropriate use of MUAC and length/height per age as malnutrition indicators.

Validity and Reliability of Pediatric Nutrition Screening Tools for Hospital, Outpatient, and Community Settings: A 2018 Evidence Analysis Center Systematic Review.

BACKGROUND: Nutrition screening tools are used to identify risk of malnutrition or change in risk of malnutrition. However, it is unclear which tools have demonstrated high validity, reliability, and agreement. OBJECTIVE: Our aim was to conduct a systematic review of valid and reliable pediatric nutrition screening tools for identifying malnutrition risk (under- or overnutrition), and to determine whether there are differences in validity and reliability according to users of the tools. METHODS: A literature search using Medline, Embase, and CINAHL databases was conducted to identify relevant research published between 1995 and May 2017 examining validity and reliability of nutrition screening tools in the pediatric population. A multidisciplinary workgroup developed eligibility criteria, data were extracted and summarized, risk of bias was assessed, and evidence strength was graded, according to a standard process. RESULTS: Twenty-nine studies met inclusion criteria. Thirteen pediatric nutrition screening tools designed for various settings were included in the review (seven inpatient/hospital, three outpatient or specialty setting, and three community). The most frequently examined tools were the Screening Tool for the Assessment of Malnutrition in Pediatrics, Screening Tool for Risk on Nutritional Status and Growth (13 studies each), and Paediatric Yorkhill Malnutrition Score (nine studies). No tools demonstrated high validity. Reliability and agreement were reported infrequently. CONCLUSIONS: Nutrition screening tools with good/strong or fair evidence and moderate validity included the Screening Tool for the Assessment of Malnutrition in Pediatrics, Screening Tool for Risk on Nutritional Status and Growth, and Paediatric Yorkhill Malnutrition Score in the inpatient setting and Nutrition Risk Screening Tool for Children and Adolescents with Cystic Fibrosis in the specialty setting. No tools in the community setting met these criteria. While differences in validity and reliability measures among tool users were found, the significance of these findings is unclear. Limitations included few studies examining each tool, heterogeneity between studies examining a common tool, and lack of tools that included currently recommended indicators to identify pediatric malnutrition.

Consensus statement of the Academy of Nutrition and Dietetics/American Society for Parenteral and Enteral Nutrition: indicators recommended for the identification and documentation of pediatric malnutrition (undernutrition).

The Academy of Nutrition and Dietetics and American Society for Parenteral and Enteral Nutrition, utilizing an evidence-informed, consensus-derived process, recommend that a standardized set of diagnostic indicators be used to identify and document pediatric malnutrition (undernutrition) in routine clinical practice. The recommended indicators include z scores for weight for height/length, body mass index for age, length/height for age, or mid-upper arm circumference when a single data point is available. When two or more data points are available, indicators may also include weight-gain velocity (younger than 2 years of age), weight loss (2 to 20 years of age), deceleration in weight for length/height z score, and inadequate nutrient intake. The purpose of this consensus statement is to identify a basic set of indicators that can be used to diagnose and document undernutrition in the pediatric population (ages 1 month to 18 years). The indicators are intended for use in multiple settings, such as acute, ambulatory care/outpatient, residential care, etc. Several screening tools have been developed for use in hospitalized children. However, identifying criteria for use in screening for nutritional risk is not the purpose of this paper. Clinicians should use as many data points as available to identify and document the presence of malnutrition. The universal use of a single set of diagnostic parameters will expedite the recognition of pediatric undernutrition, lead to the development of more accurate estimates of its prevalence and incidence, direct interventions, and promote improved outcomes. A standardized diagnostic approach will also inform the prediction of the human and financial responsibilities and costs associated with the prevention and treatment of undernutrition in this vulnerable population, and help to further ensure the provision of high-quality, cost-effective, nutrition care.