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Updated: Dec 14, 2025

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
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.
Background:
Various measures and definitions for undernutrition are used in pediatrics. Younger children treated for cancer are at high risk, but lack well-defined risk-based screening and intervention.
Methods:
A retrospective study collected weight longitudinally for patients less than three years-old over two years after initiating cancer treatment. We included those diagnosed 2007-2015 at a large pediatric cancer center. Exclusion criteria included treatment starting outside our system, secondary or relapsed malignancy, or incomplete information. A decrease ≥1 in weight-for-age or weight-for-height z-score signified clinically significant weight loss. Univariate and multivariate models assessed hazards for developing first episode of clinically significant weight loss.
Results:
Of 372 patients, only 24.6% of patients lost 10% of weight, but 58.6% lost weight-for-age z-score ≥1 and 64.8% lost ≥1 weight-for-height z-score within two years of treatment initiation. Patients who lost weight were younger (median age 15 vs. 24 months, p < 0.001). Compared to patients diagnosed in the first year of life, those diagnosed 24-35 months were less likely to lose weight (HR 0.62, p < 0.001) and lost weight later (median time to weight loss 144 vs. 35 days). Higher treatment intensity increased weight loss risk (HR 2.30, p < 0.001) and decreased time to weight loss (35 vs. 154 days). No differences were found based on sex, diagnosis, enteral or parenteral nutrition, gastroenterology consults, or intensive care admissions.
Conclusions:
Using normalized z-scores is more sensitive for identifying weight loss. Younger children are more likely to lose weight with higher intensity cancer therapy. Patient and treatment specific information should be used in risk stratifying weight loss screening and nutritional interventions.
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