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Updated: Sep 13, 2025

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
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Relationship between nutritional assessment and nutritional risk screening in hospitalized children with cerebral

Jixun Zhao1,2, Yuyang Qiu3, Junmeng Su4

  • 1School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, No.6, Ankang Avenue, GUI 'an New District, Guiyang, 561113, Guizhou, China.

Scientific Reports
|July 28, 2025
PubMed

Insights

Malnutrition is prevalent in hospitalized children with cerebral palsy (CP), affecting over 64%. Key factors include age, albumin levels, and manual ability, highlighting the need for clinical nutrition attention.

Area of Science:

  • Pediatric Nutrition
  • Clinical Nutrition
  • Child Development

Background:

  • Cerebral palsy (CP) significantly impacts child growth and development.
  • Children with CP face a high risk of malnutrition.
  • Effective nutritional assessment is crucial for this population.

Purpose of the Study:

  • To characterize the nutritional status of hospitalized children with CP.
  • To evaluate the efficacy of four nutritional risk screening tools.
  • To identify factors influencing malnutrition in children with CP.

Main Methods:

  • Retrospective analysis of 91 hospitalized children with CP.
  • Assessment of nutritional status using Z scores and screening tools.
  • Multivariate logistic regression to identify independent risk factors.
  • Development and validation of a prediction model for malnutrition.

Main Results:

  • A high prevalence of malnutrition (64.8%) was observed in the study cohort.
  • Nutritional status correlated with Gross Motor Function Classification System (GMFCS) and Manual Ability Classification System (MACS) grades, caregiver concern, and age.
  • The evaluated screening tools showed lower sensitivity and consistency compared to Z scores.
  • Older age, lower albumin (ALB) concentration, and MACS grade II were independent predictors of malnutrition.
  • A prediction model incorporating age, albumin, triglyceride, and MACS grade demonstrated high predictive value (AUC: 0.88).

Conclusions:

  • Hospitalized children with CP exhibit a high rate of malnutrition.
  • Clinical nutrition interventions and vigilant monitoring are essential.
  • The developed prediction model offers practical value for identifying at-risk children.

Keywords:
Cerebral palsyChildrenEffectivenessMalnutritionNutritional assessmentNutritional risk screening

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