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Growth curves in Down syndrome: implications for clinical practice
Fabio Bertapelli1, Juan Eduardo Samur-San Martin, Ezequiel Moreira Gonçalves
1Growth and Body Composition Laboratory, Center for Investigation in Pediatrics (CIPED), Department of Pediatrics, Faculty of Medical Sciences (FCM), University of Campinas (UNICAMP), Campinas, São Paulo, Brazil.
New growth curves are needed for individuals with Down syndrome (DS) as current ones lack sufficient data and methodological rigor. This ensures accurate clinical assessments and avoids misdiagnoses in children and adolescents with DS.
Area of Science:
- Pediatrics
- Genetics
- Anthropometry
Background:
- Growth curves are essential for monitoring child development.
- Existing growth charts for Down syndrome (DS) require validation for clinical guideline development.
- Systematic reviews are crucial for assessing the quality of existing growth data.
Purpose of the Study:
- To systematically review and assess the eligibility of existing growth curves for individuals with Down syndrome (DS).
- To identify limitations in current growth curve methodologies for DS populations.
- To inform the development of new, reliable growth charts for DS.
Main Methods:
- A systematic literature search was conducted using PRISMA guidelines between July 2012 and June 2013 in MEDLINE/PubMed and BIREME.
- Inclusion and exclusion criteria were applied to 16 selected articles.
- Analysis focused on sample size, data collection, anthropometric variables, standard deviation scores (SDS), and statistical methods (e.g., LMS).
Main Results:
- Individuals with DS showed growth between -0.4 and -4.0 SDS compared to healthy controls.
- Significant limitations were found in most studies regarding data reporting (e.g., number of observations, mean values, SDs by sex/age).
- Many studies did not employ advanced statistical methods like LMS for data analysis.
Conclusions:
- Current growth curves for Down syndrome (DS) have methodological limitations and require further validation.
- Inconsistencies in data reporting and analysis methods hinder accurate growth assessment in DS.
- Development of new, robust growth curves is necessary to prevent misdiagnoses in children and adolescents with DS.
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