Diagnostic model based on multiple factors for girls with central precocious puberty

Ziqin Liu; Qinwei Song

doi:10.1515/jpem-2023-0263

Article

Diagnostic model based on multiple factors for girls with central precocious puberty

Ziqin Liu and Qinwei Song

Published/Copyright: December 5, 2023

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From the journal Journal of Pediatric Endocrinology and Metabolism Volume 37 Issue 2

Abstract

Objectives

The GnRH stimulation test has been used as the gold standard for the diagnosis of central precocious puberty (CPP), but it has some practical barriers. This study intends to build a diagnostic model of CPP in girls based on the population in northern China.

Methods

A total of 163 girls with precocious puberty (PP) were included from December 2018 to December 2019. Multifactor logistic regression analysis was conducted. Based on the results of multivariate logistic regression analysis, a nomogram was established for clinical application.

Results

A multi logistic regression model showed that LH (OR=1.238, 95 % CI: 1.067–1.436, p=0.005), inhibin B (OR=1.066, 95 % CI: 1.032–1.100, p<0.001), bone age (OR=1.563, 95 % CI: 1.037–2.358, p=0.033), and uterine length (OR=1.180, 95 % CI: 1.034–1.348, p=0.014) were diagnostic factors for CPP. The prediction model AUC was 0.906 (95 % CI: 0.852–0.959, p<0.001).

Conclusions

We successfully developed a nomogram model for CPP patients based on clinical data. The diagnostic prediction model included four indicators: basal LH, inhibin B, bone age, and uterine body length.

Keywords: girls; central precocious puberty; diagnosis; prediction model; multivariable logistic regression

Corresponding author: Ziqin Liu, Department of Endocrinology, Children’s Hospital Capital Institute of Pediatrics, No. 2 Ya-Bao Road, ChaoYang District, Beijing 100020, P.R. China, Phone: 010 85695603, E-mail: 1934855597@qq.com

Funding source: Beijing Municipal Administration of Hospitals Incubating Program

Award Identifier / Grant number: PX2020055

Acknowledgments

The authors thank the participants and their families.

Research ethics: The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013) and was approved by the Children’s Hospital Capital Institute of Pediatrics Ethics Committee (SHERLL2020003).
Informed consent: Signed consent was obtained from each participant’s parents prior to commencement of the study.
Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
Competing interests: The authors state no conflict of interest.
Research funding: Supported by the Beijing Municipal Administration of Hospitals Incubating Program (PX2020055).
Data availability: The raw data can be obtained on request from the corresponding author.

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Received: 2023-06-02

Accepted: 2023-11-20

Published Online: 2023-12-05

Published in Print: 2024-02-26

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https://doi.org/10.1515/jpem-2023-0263

Keywords for this article

girls; central precocious puberty; diagnosis; prediction model; multivariable logistic regression