ESPE Abstracts (2023) 97 P2-310

ESPE2023 Poster Category 2 Late Breaking (77 abstracts)

Exploration of rapidly progressive puberty early prediction in girls

Linqi Chen & PingPing Chen


Children's Hospital of Soochow University, SuZhou, China


Objective: To explore the influencing factors of girls with rapidly progressive puberty(RPP), to construct a risk prediction model of RPP in girls, to investigate the value of serum IGFBP-2, Irisin and Ghrelin in prediction of RPP in girls.

Methods: 1. Construction and verification of the prediction model for girls with rapidly progressive puberty. The girls who visited the Department of Endocrinology, Children's Hospital of Soochow University from 2019 to 2021 because of breast development(Tanner stage II) were selected as the study subjects. After follow-up 6 to 12 months without any therapy, Finally, the 211 girls were divided into RPP group(156 cases) and NRPP group(55 cases), The clinical data of the two groups at the first visit were compared. The prediction model was constucted by Lasso-logistic regression, and its diagnostic efficacy was validated and evaluated. 2. The value of serum IGFBP-2、Irisin in prediction of rapidly progressive puberty in girls. Non-obese girls who visited the Department of Endocrinology, Children's Hospital of Soochow University from 2019 to 2021 because of breast development(Tanner stage II) were selected as the study subjects. After follow-up 6 to 12 months without any therapy, the remaining 60 girls were divided into EP-RPP(30 cases) and EP-NRPP(30 cases). At the same time, 30 ICPP girls with Tanner stage II, 30 RPP girls with Tanner stage III were also included. The control group was 30 undeveloped girls aged 8 to 9, The serum concentrations of insulin like growth factor binding protein-2 (IGFBP-2), Irisin and Ghrelin were tested by Enzyme-linked immunosorbent assay, and SPSS25.0 was used for statistical analysis.

Results and Conclusions: 1. The uterine volume, serum IGF-1 level, LH and FSH base value, LH peak value and LH/FSH peak value ratio at the first visit can be used as early warning reference indicators of RPP in girls. 2. The prediction model for RPP girls has better prediction ability than the single predictor and different diagnostic cut-off points can be used for clinical diagnosis or screening. 3. Serum IGFBP-2 and Irisin levels at the first visit may be related to the progression of puberty and can be used as new early warning index of RPP in girls. 4. prediction model of RPP in girls: LN[P/(1-p)]=-1.928+0.649xThe uterine volume +0.005xIGF-1+0.144xFSH base value -0.1xFSH/LH peak value ratio +1.239xLH/FSH peak value ratio. When the prediction cut-off point value was 0.85, the specificity and the sensitivity were 87% and 43%.

Volume 97

61st Annual ESPE (ESPE 2023)

The Hague, Netherlands
21 Sep 2023 - 23 Sep 2023

European Society for Paediatric Endocrinology 

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