Incremental value of body composition indices in discriminating poorly controlled asthma in children: a

Zhiyuan Wang1, Junlin Zhao1, Yanan Wang1

  • 1Department of Pediatrics, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.

Insights

Bioelectrical impedance analysis (BIA) body composition indices like extracellular water-to-total body water ratio (ECW/TBW) and phase angle (PhA) significantly improve the identification of poorly controlled asthma in children. These markers offer better discrimination than traditional clinical assessments alone.

Area of Science:

  • Pediatric Respiratory Medicine
  • Biomedical Engineering
  • Clinical Assessment Tools

Background:

  • Asthma is a common childhood respiratory disease with a significant portion of patients experiencing poor control despite current treatments.
  • Traditional assessment methods using clinical indicators and lung function tests have limited ability to distinguish asthma severity.
  • Novel biomarkers are needed to enhance the accurate assessment of asthma control in pediatric populations.

Purpose of the Study:

  • To evaluate if bioelectrical impedance analysis (BIA)-derived body composition indices improve the discrimination of poorly controlled asthma in children.
  • To assess the added value of extracellular water-to-total body water ratio (ECW/TBW), phase angle (PhA), and visceral fat area (VFA) beyond traditional clinical assessments.

Main Methods:

  • A cross-sectional study included 103 children (aged 6-14 years) with asthma, divided into poorly controlled (n=41) and well-controlled (n=62) groups.
  • Two logistic regression models were compared: a base model with clinical/lung function parameters and an enhanced model including BIA indices (ECW/TBW, PhA, VFA).
  • Model performance was assessed using Area Under the Curve (AUC), Net Reclassification Index (NRI), and Integrated Discrimination Improvement (IDI).

Main Results:

  • Children with poorly controlled asthma showed significantly higher ECW/TBW and lower PhA compared to well-controlled asthmatics.
  • In multivariable analysis, ECW/TBW was associated with increased risk (OR=9.83), and PhA with decreased risk (OR=0.17) of poorly controlled asthma.
  • The enhanced model (AUC=0.893) significantly outperformed the base model (AUC=0.618), with improved sensitivity (70.7% vs. 39.0%) and specificity (90.3% vs. 77.4%).

Conclusions:

  • BIA-derived body composition indices offer significant incremental value in discriminating poorly controlled asthma in children.
  • These indices may reflect underlying systemic inflammation and metabolic disturbances contributing to asthma severity.
  • Further multicenter studies with external validation are recommended to confirm these findings.
Abstract

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