Related Experiment Video
Updated: May 5, 2026
Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts
Published on: January 29, 2018
BIA-derived muscle indicator thresholds for malnutrition risk prediction in children with β-thalassemia: a
Luyang Zhang1, Jiewen Long1, Li Wang2
1Department of Haematology and Oncology, Shenzhen Children'S Hospital, 7019 Yitian Road, Shenzhen, Guangdong, China.
Insights
New thresholds for muscle mass indicators can help predict malnutrition in children with beta-thalassemia. These Bioelectrical Impedance Analysis (BIA) findings offer better nutritional management for affected pediatric patients.
Area of Science:
- Pediatric Nutrition
- Hematology
- Body Composition Analysis
Background:
- Malnutrition is a critical concern for children with beta-thalassemia, affecting growth and health.
- Bioelectrical Impedance Analysis (BIA) offers potential for assessing muscle mass indicators.
Purpose of the Study:
- To establish optimal thresholds for predicting malnutrition risk in pediatric beta-thalassemia patients.
- To utilize muscle mass indicators from BIA for malnutrition risk assessment.
Main Methods:
- A cross-sectional study involving 162 pediatric beta-thalassemia patients.
- Nutritional status assessed using WHO Child Growth Standards; BIA used for fat-free mass (FFM), skeletal muscle mass (SMM), and soft lean mass (SLM).
- Propensity score matching (PSM) controlled for age and gender; ROC curves evaluated diagnostic performance.
Main Results:
- Soft lean mass change (SLM-change) <6% showed high sensitivity (0.82) and negative predictive value (0.83).
- Fat-free mass change (FFM-change) <4% provided balanced performance (sensitivity 0.58, specificity 0.65).
- Percentage change indicators (FFM, SLM, SMM) remained stable post-PSM, indicating low age and gender influence.
Conclusions:
- Novel, age-adaptive thresholds (SLM-change <6%, FFM-change <4%) for predicting malnutrition in pediatric beta-thalassemia were established.
- These thresholds can serve as effective references for assessing nutritional status across pediatric age groups.
- Findings support personalized nutritional management strategies for children with beta-thalassemia.
Background:
Malnutrition is a significant concern in children with β-thalassemia, impacting their growth and overall health. This study aimed to establish optimal thresholds for predicting malnutrition risk in children with β-thalassemia using muscle mass indicators derived from Bioelectrical Impedance Analysis (BIA).
Methods:
A cross-sectional study was conducted with 162 pediatric patients diagnosed with β-thalassemia. Nutritional status of them was assessed using the World Health Organization (WHO) Child Growth Standards and references. BIA was performed to obtain fat-free mass (FFM), skeletal muscle mass (SMM), and soft lean mass (SLM). Propensity score matching (PSM) was used to control for age and gender. Receiver Operating Characteristic (ROC) curves were constructed to evaluate the diagnostic performance.
Results:
SLM-change < 6% demonstrated the highest sensitivity [0.82, 95% confidence interval (CI) 0.72-0.92] and a negative predictive value of 0.83 (95% CI 0.74-0.93), while FFM-change < 4% showed more balanced performance with a sensitivity of 0.58 (95% CI 0.45-0.71) and a specificity of 0.65 (95% CI 0.56-0.74). Percentage change indicators (FFM-change, SLM-change, and SMM-change) exhibited remarkable stability before and after PSM, indicating minimal influence from age and gender.
Conclusions:
This study established novel, age-adaptive thresholds (SLM-change < 6% and FFM-change < 4%) for predicting malnutrition risk in children with β-thalassemia. The findings suggest that these thresholds could serve as effective references to assess nutritional status across different age groups, providing new perspectives for personalized nutritional management strategies.
