Simple pediatric nutritional risk score to identify children at risk of malnutrition.
BACKGROUND
Although hospitalized children are at risk of malnutrition, routine screening of nutritional status has been hindered by lack of a validated nutritional assessment tool.


OBJECTIVE
Our aim was to develop a simple pediatric nutritional risk score that could be used at hospital admission to identify patients at risk of acute malnutrition during hospitalization.


METHODS
Nutritional risk was assessed prospectively in 296 children. Anthropometric measurements, food intake, ability to eat and retain food, medical condition, and symptoms interfering with feeding (pain, dyspnea, and depression) were evaluated within 48 h of admission. Pathology was classified as mild (grade 1), moderate (grade 2), or severe (grade 3). The risk of weight loss was investigated with stepwise logistic regression.


RESULTS
Weight loss during hospitalization occurred in 65% of the children and was >2% of admission weight in 45% of patients. Multivariate analysis indicated that food intake <50%, pain, and grade 2 and 3 pathologic conditions (P = 0.0001 for all) were associated with weight losses of >2%. The nutritional risk score ranged from 0 to 5 and was calculated by adding the values for the significant risk factors as follows: 1 for food intake <50%, 1 for pain, 1 for grade 2 pathologic condition, and 3 for grade 3 pathologic condition. A score of 1 or 2 indicated moderate risk and a score >/=3 indicated high risk of malnutrition.


CONCLUSIONS
This simple score is suitable for routine use to identify patients at risk of malnutrition during hospitalization. Implementation may prevent hospital-acquired malnutrition.
Sermet-Gaudelus
I
I
Pediatric Department, Hôpital Necker-Enfants Malades, Paris, France.
Poisson-Salomon
A S
AS
Colomb
V
V
Brusset
M C
MC
Mosser
F
F
Berrier
F
F
Ricour
C
C
D002648:Child; D002664:Child Nutritional Physiological Phenomena; D002673:Child, Hospitalized; D002675:Child, Preschool; D005260:Female; D006801:Humans; D007223:Infant; D016015:Logistic Models; D008297:Male; D015596:Nutrition Assessment; D009748:Nutrition Disorders / Q000517:prevention & control*; D011237:Predictive Value of Tests; D011446:Prospective Studies; D012307:Risk Factors