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Subjective global nutritional assessment in critically ill children
Sarah Vermilyea1, Julie Slicker, Khalil El-Chammas
1Clinical Nutrition Department, Children's Hospital of Wisconsin, Milwaukee, Wisconsin, USA.
Subjective global nutrition assessment (SGNA) can identify malnutrition in pediatric intensive care unit (PICU) patients. This method shows moderate correlation with anthropometric measurements, aiding in nutritional status evaluation for critically ill children.
Area of Science:
- Pediatric Intensive Care
- Clinical Nutrition
- Medical Assessment
Background:
- Underweight children in the PICU face increased mortality risks.
- Malnutrition identification is crucial for improving outcomes in critically ill children.
- Existing assessment methods may not fully capture nutritional status in the PICU.
Purpose of the Study:
- To evaluate the utility of Subjective Global Nutrition Assessment (SGNA) in identifying malnutrition in pediatric intensive care unit (PICU) patients.
- To determine if SGNA can predict nutrition-associated morbidities in this population.
- To assess the correlation between SGNA and objective anthropometric and laboratory measurements.
Main Methods:
- A prospective study involving 150 children (31 days to 5 years) admitted to the PICU.
- Nutrition status assessed using SGNA by a dietitian and objective measurements by an independent assessor.
- Interrater reliability of SGNA tested on 76 children; nutrition-associated complications documented for 30 days.
Main Results:
- SGNA ratings correlated moderately to strongly with standard anthropometric measurements (P < .05).
- Laboratory markers showed no significant correlation with SGNA findings.
- Interrater agreement for SGNA demonstrated moderate reliability (κ = 0.671).
Conclusions:
- SGNA is a reliable tool for assessing malnutrition in PICU patients, correlating well with anthropometric data.
- While SGNA shows promise, it did not significantly correlate with length of stay or mortality scores (PoliD, PIM III).
- Further research may explore SGNA's predictive value for specific nutrition-associated morbidities in critically ill children.
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