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Estimation of standing height in spina bifida: model development and validation
Fabio Bertapelli1, Marisa Maia Leonardi-Figueiredo1, Emanuela Juvenal Martins1
1Faculdade de Medicina de Ribeirão Preto, Departamento de Ciências da Saúde, Universidade de São Paulo, Ribeirão Preto, SP, Brazil.
Jornal De Pediatria
|July 20, 2024
Summary
Accurate standing height estimation in children with spina bifida (SB) is possible using arm span models. However, caution is advised for individual estimations due to variability in model predictions.
Area of Science:
- Pediatric orthopedics
- Biomedical engineering
- Growth and development
Background:
- Childhood standing height estimation often relies on arm span-related (heightAS) models.
- Individuals with spina bifida (SB) may present unique challenges for standard height estimation methods.
Purpose of the Study:
- To develop and cross-validate a novel heightAS model for children with SB.
- To assess the accuracy of existing heightAS models in this population.
Main Methods:
- Developed a new model (M1) using arm span, age, sex, and SB group status.
- Cross-validated M1 and compared it with existing SB-specific (M2) and non-SB specific models (M3-M5) using sequential regression and leave-one-out cross-validation.
- Included 14 individuals with SB and 83 non-SB participants aged 7-16 years.
Main Results:
- The new model (M1) and two existing models (M2, M5) showed non-significant mean differences between actual and estimated height for groups.
- Arm span and SB group status explained 95% of height variance in M1 (R2 = 0.95).
- Bland-Altman analysis revealed wide limits of agreement (7.4-10.9 cm), indicating significant individual variability; models M3 and M4 showed considerable errors.
Conclusions:
- Models M1, M2, and M5 demonstrate potential for accurate group-level standing height estimation in children with SB.
- Caution is advised when using these models for individual height estimations due to observed variability.
- Further research may be needed to refine models for precise individual height prediction in pediatric SB populations.

