Normalized measures and patient characteristics to identify undernutrition in infants and young children treated for

Daniel V Runco1, Karen Wasilewski-Masker2, Courtney E McCracken3

  • 1Department of Pediatrics, Division of Hematology/Oncology, Indiana University School of Medicine, Indianapolis, IN, USA; Riley Hospital for Children at Indiana University Health, Indianapolis, IN, USA.

Insights

Pediatric cancer patients, especially younger ones, are at high risk for significant weight loss during treatment. Using weight-for-age or weight-for-height z-scores is more sensitive for early detection and intervention.

Area of Science:

  • Pediatric Oncology
  • Nutritional Science
  • Growth Monitoring

Background:

  • Undernutrition is a significant concern in pediatric cancer patients, yet lacks standardized screening and intervention protocols.
  • Younger children undergoing cancer treatment face a high risk of nutritional deficits.

Purpose of the Study:

  • To evaluate the incidence and risk factors of clinically significant weight loss in young children undergoing cancer treatment.
  • To determine the sensitivity of different weight loss measures in this population.

Main Methods:

  • A retrospective study analyzed longitudinal weight data for children under three years old treated for cancer between 2007 and 2015.
  • Clinically significant weight loss was defined as a decrease of ≥1 in weight-for-age or weight-for-height z-score.
  • Univariate and multivariate models assessed hazards for weight loss.

Main Results:

  • Over two years, 58.6% lost ≥1 weight-for-age z-score and 64.8% lost ≥1 weight-for-height z-score.
  • Younger children (median age 15 months) and those receiving higher intensity therapy were at increased risk.
  • Diagnosis age (24-35 months) and higher treatment intensity were significant predictors of weight loss.

Conclusions:

  • Normalized z-scores are more sensitive for detecting weight loss in pediatric cancer patients.
  • Younger children and those on intensive therapy require targeted nutritional monitoring.
  • Risk stratification for weight loss screening and interventions should incorporate patient and treatment-specific factors.
Abstract

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