Application of a score system to evaluate the risk of malnutrition in a multiple hospital setting

被引:40
作者
Spagnuolo, Maria Immacolata [1 ]
Liguoro, Ilaria [1 ]
Chiatto, Fabrizia [1 ]
Mambretti, Daniela [1 ]
Guarino, Alfredo [1 ]
机构
[1] Univ Naples Federico II, Dept Translat Med Sci, Sect Pediat, Naples, Italy
关键词
Pediatrics; Children; Hospital malnutrition; Screening tool; Chronic disease; GLOBAL NUTRITIONAL ASSESSMENT; CHILDREN; PREVALENCE; MANAGEMENT; IMPACT;
D O I
10.1186/1824-7288-39-81
中图分类号
R72 [儿科学];
学科分类号
100202 ;
摘要
Background: An increased but unpredictable risk of malnutrition is associated with hospitalization, especially in children with chronic diseases. We investigated the applicability of Screening Tool for Risk of Impaired Nutritional Status and Growth (STRONGkids), an instrument proposed to estimate the risk of malnutrition in hospitalized children. We also evaluated the role of age and co-morbidities as risk for malnutrition. Methods: The STRONGkids consists of 4 items providing a score that classifies a patient in low, moderate, high risk for malnutrition. A prospective observational multi-centre study was performed in 12 Italian hospitals. Children 1-18 years consecutively admitted and otherwise unselected were enrolled. Their STRONGkids score was obtained and compared with the actual nutritional status expressed as BMI and Height for Age SD-score. Results: Of 144 children (75 males, mean age 6.5 +/- 4.5 years), 52 (36%) had an underlying chronic disease. According to STRONGkids, 46 (32%) children were at low risk, 76 (53%) at moderate risk and 22 (15%) at high risk for malnutrition. The latter had significantly lower Height for Age values (mean SD value -1.07 +/- 2.08; p = 0.008) and BMI values (mean SD-values -0.79 +/- 2.09; p = 0.0021) in comparison to other groups. However, only 29 children were actually malnourished. Conclusions: The STRONGkids is easy to administer. It is highly sensitive but not specific. It may be used as a very preliminary screening tool to be integrated with other clinical data in order to reliably predict the risk of malnutrition.
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页数:7
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