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Weight for age charts for children with achondroplasia
J E Hoover-Fong1, J McGready, K J Schulze
1Johns Hopkins University, Baltimore, Maryland 21287, USA. jhoover2@jhmi.edu
Insights
New weight-for-age growth charts for achondroplasia patients (birth to 16 years) provide accurate growth tracking. These charts, based on 334 individuals, offer crucial data for monitoring children with this genetic condition.
Area of Science:
- Pediatrics
- Genetics
- Anthropometry
Background:
- Achondroplasia is a common genetic skeletal dysplasia.
- Accurate growth monitoring is essential for individuals with achondroplasia.
- Current growth charts are not specific for achondroplasia, potentially leading to misinterpretation.
Purpose of the Study:
- To develop novel, gender-specific weight-for-age growth charts for individuals with achondroplasia.
- To provide a standardized tool for assessing weight in children with achondroplasia from birth to 16 years.
Main Methods:
- Longitudinal, retrospective cohort study of 334 individuals with achondroplasia.
- Construction of gender-specific weight-for-age curves using 1,964 weight measurements from 301 subjects.
- Semi-parametric modeling with smoothed percentile estimation (5th, 25th, 50th, 75th, 95th).
Main Results:
- Novel weight-for-age growth curves for achondroplasia patients (birth-16 years) were successfully developed.
- Birth weight showed overlap between achondroplasia and average stature infants.
- The developed curves allow for gender-specific percentile tracking.
Conclusions:
- The developed weight-for-age charts offer accurate growth assessment for achondroplasia.
- This methodology can be extended to other anthropometric measures and diagnoses.
- Standardized growth monitoring is crucial for managing achondroplasia and similar conditions.
Abstract:
To develop accurate weight for age charts for individuals with achondroplasia. These novel weight for age, gender-specific growth curves for achondroplasia patients from birth through 16 years were constructed from a longitudinal, retrospective, single observer cohort study of 334 individuals with achondroplasia. Weight for age data from 301 subjects in this achondroplasia cohort, constituting 1,964 total weight measurements, are presented in these weight for age curves. Percentiles (5, 25, 50, 75, 95th) were estimated across the age continuum by gender, using a 1 month window (+/-0.5 months) around each time point of interest. Percentiles were smoothed using a quadratic, penalized smoother by a semi-parametric model approach. Raw weight data from the achondroplasia cohort are compared to that of average stature children presented in the current CDC growth curves, divided into 0-36 months and 2-16 years. There was overlap of birth weight between achondroplasia and average stature infants. This statistical modeling method can be applied to other anthropometric parameters collected from this achondroplasia cohort (e.g., length, BMI), other skeletal dysplasia diagnoses, and to syndromic, non-skeletal dysplasia diagnoses which may benefit from standardization of weight for age.
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