Subjective global nutritional assessment in critically ill children.
BACKGROUND
Underweight children admitted to the pediatric intensive care unit (PICU) have a higher risk of mortality than normal-weight children. The authors hypothesized that subjective global nutrition assessment (SGNA) could identify malnutrition in the PICU and predict nutrition-associated morbidities.


METHODS
The authors prospectively evaluated the nutrition status of 150 children (aged 31 days to 5 years) admitted to the PICU with the use of SGNA and commonly used objective anthropometric and laboratory measurements. Each child was administered the SGNA by a dietitian while anthropometric measurements were performed by an independent assessor. To test interrater reproducibility, 76 children had SGNA performed by another dietitian. Occurrence of nutrition-associated complications was documented for 30 days after admission.


RESULTS
SGNA ratings of well nourished, moderately malnourished, or severely malnourished demonstrated moderate to strong correlation with several standard anthropometric measurements (P < .05). The laboratory markers did not demonstrate any correlation with SGNA. Interrater agreement showed moderate reliability (κ = 0.671). Length of stay, pediatric logistic organ dysfunction, and Pediatric Risk of Mortality III were not significantly different across the groups and did not correlate with SGNA.
Clinical Nutrition Department, Children's Hospital of Wisconsin, Milwaukee, Wisconsin, USA.
Sarah
S
Vermilyea
Julie
J
Slicker
Khalil
K
El-Chammas
Mutaz
M
Sultan
Mahua
M
Dasgupta
Raymond G
RG
Hoffmann
Martin
M
Wakeham
Praveen S
PS
Goday
D000886:Anthropometry; D002675:Child, Preschool; D016638:Critical Illness / Q000453:epidemiology*; D005260:Female; D006760:Hospitalization; D006801:Humans; D007223:Infant; D015278:Intensive Care Units, Pediatric; D007902:Length of Stay; D008297:Male; D044342:Malnutrition / Q000175:diagnosis* / Q000453:epidemiology*; D015596:Nutrition Assessment; D009752:Nutritional Status; D011446:Prospective Studies; D015203:Reproducibility of Results; D014922:Wisconsin / Q000453:epidemiology