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Growth Prediction Model for Prepubertal Children With Idiopathic Growth Hormone Deficiency: An Analysis of LG Growth
Hwal Rim Jeong1, Hae Sang Lee2, Jin Soon Hwang2
1Department of Pediatrics, Soonchunhyang University College of Medicine, Cheonan, Korea.
Insights
Growth hormone (GH) treatment significantly improves height in children with GH deficiency (GHD). Predictive models were developed to personalize GH therapy and estimate growth outcomes for children with GHD.
Area of Science:
- Pediatrics
- Endocrinology
- Growth Disorders
Background:
- Growth hormone (GH) treatment effectively restores growth in children with GH deficiency (GHD).
- Individual responses to GH therapy vary, highlighting the need for predictive models.
- This study utilized the LG growth study (LGS) database to develop and validate a predictive model for GH treatment response.
Purpose of the Study:
- To develop and validate a predictive model for GH treatment response in the first two years of therapy.
- To estimate growth outcomes in prepubertal children with idiopathic GHD.
Main Methods:
- An observational study of 669 prepubertal patients with idiopathic GHD from the LGS registry.
- Data collection included clinical and laboratory parameters at baseline and every six months.
- Stepwise multivariate regression analysis was employed to construct the prediction models.
Main Results:
- Height standard deviation score (SDS) significantly improved from -2.50 to -1.35 over two years.
- First-year growth velocity was 9.06 cm/year, decreasing to 7.42 cm/year in the second year.
- The models explained 76.9% and 84.1% of height SDS variability in the first and second years, respectively.
Conclusions:
- GH treatment significantly enhances height outcomes in prepubertal children with GHD.
- The developed predictive models show accuracy, aiding in personalized GH therapy.
- Further research is recommended to refine models and investigate long-term effects in pubertal patients.
Background:
Growth hormone (GH) treatment is effective in restoring normal growth in children with GH deficiency (GHD). However, individual responses to GH treatment vary, necessitating predictive models to estimate growth outcomes. This study aimed to develop and validate a predictive model for GH treatment response during the first 2 years in patients with idiopathic GHD using the LG growth study (LGS) database.
Methods:
This observational study included 669 prepubertal patients with idiopathic GHD from the LGS registry who received GH treatment for at least 2 years. Clinical and laboratory data were collected at baseline and every 6 months thereafter. Stepwise multivariate regression analysis was performed to develop prediction models for the treatment period.
Results:
The mean age of patients with GDH was 6.0 ± 1.8 years. Height standard deviation score (SDS) significantly increased from -2.50 ± 0.71 to -1.66 ± 0.71 in the first year and -1.35 ± 0.71 in the second year. The first-year growth velocity was 9.06 ± 1.51 cm, decreasing to 7.42 ± 1.37 cm in the second year. The prediction models incorporated variables such as age, birth weight, bone age, initial height SDS, body mass index SDS, mid-parental height, GH dose and first year of height after GH treatment, explaining 76.9% and 84.1% of the variability in height SDS changes in the first and second years, respectively.
Conclusions:
GH treatment significantly improves height outcomes in prepubertal children with GHD. The developed predictive models demonstrated accuracy, facilitating personalized GH therapy. Future research should focus on refining these models and exploring the long-term effects of GH treatment in pubertal patients.
Trial Registration:
ClinicalTrials.gov identifier: NCT01604395.
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