Models for Predicting Growth Response to Growth Hormone in Short Children
Author Information
Author(s): Jovanna Dahlgren, Berit Kriström, Aimon Niklasson, Andreas FM Nierop, Sten Rosberg, Kerstin Albertsson-Wikland
Primary Institution: Göteborg Pediatric Growth Research Center, Institute of Clinical Science, The Sahlgrenska Academy at Göteborg University, Göteborg, Sweden
Hypothesis
Can mathematical models accurately predict the growth response to growth hormone treatment in short children regardless of their GH status, birth size, and gestational age?
Conclusion
The prediction models can accurately identify short children who will benefit from growth hormone treatment.
Supporting Evidence
- The models were validated with a separate cohort of 112 children.
- Inclusion of endocrine data improved model accuracy significantly.
- The models can be used to individualize GH treatment based on predicted growth response.
Takeaway
Scientists created models to help doctors figure out how much growth hormone kids need to grow taller, no matter how they were born.
Methodology
Non-linear multivariate regression analysis was used to construct and validate the prediction models.
Potential Biases
Potential bias in data collection and selection of participants may affect the generalizability of the models.
Limitations
The models may not be applicable to children with severe growth disorders or those outside the studied demographic.
Participant Demographics
Participants were short prepubertal children, primarily Caucasian, with varying GH secretory status and birth sizes.
Digital Object Identifier (DOI)
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