Evaluation of malnutrition development risk in hospitalized children

Omer F Beser1, Fugen Cullu Cokugras2, Tulay Erkan2

  • 1Department of Pediatrics, Division of Pediatric Gastroenterology, Hepatology, and Nutrition, Okmeydani Education and Training Hospital, Istanbul, Turkey.

Insights

This study assessed malnutrition risk in hospitalized children using screening tools like STRONGkids and PYMS. Combining these tools with anthropometric measurements is crucial for accurate pediatric malnutrition identification.

Area of Science:

  • Pediatric Nutrition
  • Clinical Assessment
  • Public Health

Background:

  • Malnutrition screening is vital in pediatric hospital settings.
  • Existing tools like STRONGkids and PYMS aid in identifying at-risk children.
  • Understanding prevalence and contributing factors informs clinical practice.

Purpose of the Study:

  • To determine the prevalence of malnutrition risk in hospitalized children.
  • To identify factors contributing to malnutrition in this population.
  • To evaluate the effectiveness of the STRONGkids and PYMS screening tools.

Main Methods:

  • The study involved 1513 pediatric inpatients across 37 hospitals in Turkey.
  • Screening Tool Risk on Nutritional Status and Growth (STRONGkids) and Pediatric Yorkhill Malnutrition Score (PYMS) were utilized.
  • Anthropometric measurements (z-scores for height-for-age, weight-for-age, etc.) were collected at admission and discharge.

Main Results:

  • 9.5% of patients had a BMI-for-age SDS < -2 and 11.2% had a weight-for-length/height SDS < -2 at admission.
  • Patients identified as high-risk for malnutrition by STRONGkids and PYMS had a higher prevalence of underlying chronic diseases.
  • STRONGkids: 91% high-risk vs. 47%/45% medium/low risk had chronic diseases.
  • PYMS: 75% high-risk vs. 55%/44% medium/low risk had chronic diseases.

Conclusions:

  • Malnutrition screening tools like STRONGkids and PYMS are valuable in pediatric populations.
  • Combining screening tools with anthropometric measurements improves the identification of at-risk children.
  • This integrated approach helps prevent overlooked cases of hospital malnutrition.
Abstract

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