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Updated: Oct 21, 2025

Measurements of Motor Function and Other Clinical Outcome Parameters in Ambulant Children with Duchenne Muscular Dystrophy
Published on: January 12, 2019
Growth patterns in children with spinal muscular atrophy
Ramona De Amicis1, Giovanni Baranello2,3, Andrea Foppiani4
1International Center for the Assessment of Nutritional Status (ICANS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, Via Sandro Botticelli 21, 20133, Milan, Italy. ramona.deamicis@unimi.it.
Spinal muscular atrophy (SMA) patients show lower body weight and BMI compared to healthy peers. This study establishes disease-specific growth curves for SMA type 1 and type 2, aiding clinical management.
Area of Science:
- Pediatric Neuromuscular Disorders
- Growth and Development Studies
- Clinical Assessment and Management
Background:
- Spinal muscular atrophy (SMA) is a neuromuscular disorder causing muscle weakness and atrophy.
- SMA type 1 (SMA1) and type 2 (SMA2) represent severe forms with distinct functional limitations.
- Evolving standards of care and disease-modifying treatments necessitate precise nutritional status assessment.
Purpose of the Study:
- To establish disease-specific growth percentile curves for treatment-naïve SMA type 1 and type 2 patients.
- To compare the growth patterns of SMA patients with general population growth standards.
- To provide data for improved clinical management and therapeutic efficacy assessment.
Main Methods:
- Multicenter study collecting Body Weight (BW) and Supine Length (SL) data.
- Utilized a published standardized procedure for data collection.
- Developed SMA-specific growth percentile curves for BW, SL, and BMI-for-age, comparing them to WHO reference data.
Main Results:
- Recruited 133 SMA1 and 82 SMA2 patients (48.8% female).
- SMA patients exhibited significantly lower Body Weight (BW) compared to healthy peers.
- Supine Length (SL) showed more variability, and Body Mass Index (BMI) was typically lower across all ages and sexes.
Conclusions:
- The developed growth curves offer a better understanding of growth patterns in treatment-naïve SMA patients.
- These data can inform clinical management strategies for SMA.
- The findings are crucial for assessing the impact of current and future therapies on patient growth.
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