Development and validation of a model for predicting the adult height of girls with idiopathic central precocious puberty.

The aim was to develop a model to predict the adult height (AH) of idiopathic central precocious puberty (ICPP) girls who underwent gonadotropin-releasing hormone analog (GnRHa) treatment. Data analysis included 258 girls with ICPP. Among them, 101 girls who reached final AH (FAH) with GnRHa treatment were analyzed to verify three previous prediction models and develop a unique model based on multiple linear regression. The control group consisted of 41 untreated ICPP girls. Moreover, 116 girls treated with GnRHa who almost attained FAH were included for external validation. Based on our cohorts, all of the three previously published models underestimated the FAH with an R of 0.667, 0.793, and 0.664. The AH prediction model was built as follows: Calculated AH (cm) = 1.89630 * Height SDS + 2.29927 * Height SDS for bone age + 0.40776 * Target height + 100.16684 (R

conclusionA model for predicting the AH of girls with ICPP was developed incorporating the variables of height SDS, height SDS for bone age, and target height. The internal and external validation ensures an appropriate degree of discrimination and calibration of the prediction model. WHAT IS KNOWN: • Uncertainty prevails as how to predict the adult height of patients with central precocious puberty following gonadotropin-releasing hormone analog treatment. • Previous models for predicting adult height of girls with idiopathic central precocious puberty have not been proven translational to the Chinese population. WHAT IS NEW: • This study develops a new model for predicting the adult height of idiopathic central precocious puberty girls who underwent gonadotropin-releasing hormone analog treatment. • The internal and external validation assures a good degree of discrimination and calibration of the prediction model in this study.