No abstract

Nutrient losses by CVHHD may impact adequate nutrition provision.

In recent years, much effort has been directed at redefining malnutrition in the pediatric population to include the acute clinical population in addition to the more traditional ambulatory populations. In 2013, an expert panel convened to perform a critical review of available literature to craft a new approach to malnutrition. Closely thereafter, the Academy of Nutrition and Dietetics and the American Society for Parenteral and Enteral Nutrition published recommended indicators for the identification and documentation of malnutrition in pediatric populations. The purpose of this article is to review the domains within the new definition of malnutrition in pediatric practice, describe populations in which the recommended indicators for identification and management are problematic in clinical practice, give case studies that apply the new definition, and finally describe the implementation of a malnutrition identification program within a large tertiary care children's hospital.

Background: Underrecognition of pediatric malnutrition may affect nutrition interventions and outcomes. Pediatric malnutrition uses more specific etiology-based criteria but lacks clarity in implementation guidelines. Study goals were to identify malnutrition and risk among hospitalized patients, characterize malnutrition risk factors, and assess reliability of criteria against outcome measures. Materials and Methods: All children 44 weeks postmenstrual age-18 years, admitted for 48 hours during a 16-day period, were included (n = 528). Trained dietitians assessed patients in physical assessments (PA), growth, energy intake, increased nutrient losses (IL), altered absorption of nutrients (AA), hypermetabolism and inflammation, laboratory information, micronutrient deficiency, and functional status. Outcome data assessed were length of stay (LOS), intensive care unit (ICU) LOS, ventilation days, nutrition support, and dietitian intervention. Results: Malnutrition prevalence upon admission was 19.7%. Weight/length or BMI/age z-score (ZS) had no effect on LOS. AA and IL upon admission were independently associated with malnutrition (both, P<.01). Wasting and hypermetabolism were independently associated with longer LOS (P<.01). Other factors associated with longer LOS included IL and inflammation (P < .05). Those with hypermetabolism had significant ZS improvements if followed by a dietitian (P < .05). Wasting via PA was the only factor associated with longer ICU LOS (P < .05). Conclusions: Identification of risk factors (wasting, hypermetabolism, AA, IL) beyond anthropometrics to define malnutrition and risk is important in prioritizing care in a tertiary pediatric facility. Of great significance is the ability of dietitian-based PA to predict LOS and need for intervention.

Implementation of an interprofessional quality improvement team significantly decreased number of continuous renal replacement therapy days with unmet protein goals and improved protein delivery.