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

Maria Immacolata Spagnuolo, Ilaria Liguoro, Fabrizia Chiatto

  • 1Department of Translational Medical Science - Section of Pediatrics, University of Naples "Federico II", Naples, Italy. alfguari@unina.it.

Insights

The Screening Tool for Risk of Impaired Nutritional Status and Growth (STRONGkids) effectively identifies hospitalized children at risk for malnutrition. While sensitive, it requires integration with clinical data for accurate prediction.

Area of Science:

  • Pediatric Nutrition
  • Clinical Assessment Tools
  • Hospital Malnutrition

Background:

  • Hospitalization presents an unpredictable malnutrition risk, particularly for children with chronic diseases.
  • The Screening Tool for Risk of Impaired Nutritional Status and Growth (STRONGkids) was developed to assess malnutrition risk in pediatric populations.
  • Investigated the role of age and comorbidities in predicting malnutrition risk.

Purpose of the Study:

  • To evaluate the applicability of the STRONGkids tool in hospitalized children.
  • To assess the correlation between STRONGkids scores and actual nutritional status.
  • To determine the influence of age and comorbidities on malnutrition risk.

Main Methods:

  • A prospective, observational, multi-center study involving 12 Italian hospitals.
  • Enrolled 144 children aged 1-18 years admitted to the hospital.
  • STRONGkids scores were compared with nutritional status indicators like BMI and Height for Age SD-scores.

Main Results:

  • 36% of enrolled children had an underlying chronic disease.
  • STRONGkids classified 32% as low risk, 53% as moderate risk, and 15% as high risk for malnutrition.
  • Children in the high-risk group exhibited significantly lower Height for Age and BMI SD-scores, though only 29 children were actually malnourished.

Conclusions:

  • The STRONGkids tool is simple to administer and demonstrates high sensitivity for identifying at-risk children.
  • The tool's specificity is limited, suggesting it should be used as a preliminary screening measure.
  • Integrating STRONGkids results with other clinical data is recommended for reliable malnutrition risk prediction.
Abstract