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预测肥胖女孩中枢性性早熟风险的列线图模型的开发与应用

Development and application of a nomogram model for predicting the risk of central precocious puberty in obese girls.

作者信息

Huang Ren-Hao, Yang Li, Yang Yu, Xu Qing-Bo, Xie Li-Ling, Cao Lan-Fang

机构信息

Department of Endocrinology, Jiangxi Provincial Children's Hosptial/Jiangxi Provincial Clinical Research Center for Children's Genetic Metabolic Diseases, Nanchang, China.

Jiangxi Medical College, Nanchang University, Nanchang, China.

出版信息

Front Pediatr. 2024 Aug 29;12:1421775. doi: 10.3389/fped.2024.1421775. eCollection 2024.

Abstract

OBJECTIVE

The purpose of this study is to develop and assess a nomogram risk prediction model for central precocious puberty (CPP) in obese girls.

METHODS

We selected 154 cases of obese girls and 765 cases of non-obese girls with precocious puberty (PP) who underwent the gonadotropin-releasing hormone stimulation test at the Jiangxi Provincial Children's Hospital. Univariate analysis and multivariate analysis were conducted to identify predictors of progression to CPP in girls with PP. A predictive model was developed and its predictive ability was preliminarily evaluated. The nomogram was used to represent the risk prediction model for CPP in girls with obesity. The model was validated internally using the Bootstrap method, and its efficacy was assessed using calibration curves and clinical decision analysis curves.

RESULTS

In obese girls with PP, basal luteinizing hormone (LH) and follicular stimulating hormone (FSH) levels, as well as uterine volume, were identified as independent risk factors for progression to CPP. In non-obese girls, the basal LH level, bone age, and uterine volume were identified as independent risk factors for progression to CPP. With an AUC of 0.896, the risk prediction model for obese girls, was found to be superior to that for non-obese girls, which had an AUC of 0.810. The model displayed strong predictive accuracy. Additionally, a nomogram was used to illustrate the CPP risk prediction model for obese girls. This model performs well in internal validation and is well calibrated, providing a substantial net benefit for clinical use.

CONCLUSION

A medical nomogram model of CPP risk in obese girls comprised of basal LH value, basal FSH value, and uterine volume, which can be used to identify those at high risk for progression of CPP in obese girls and develop individualized prevention programs.

摘要

目的

本研究旨在开发并评估肥胖女童中枢性性早熟(CPP)的列线图风险预测模型。

方法

我们选取了154例肥胖女童和765例性早熟(PP)的非肥胖女童,她们均在江西省儿童医院接受了促性腺激素释放激素刺激试验。进行单因素分析和多因素分析,以确定PP女童进展为CPP的预测因素。开发了一个预测模型,并对其预测能力进行了初步评估。列线图用于表示肥胖女童CPP的风险预测模型。该模型采用Bootstrap法进行内部验证,并使用校准曲线和临床决策分析曲线评估其效能。

结果

在患有PP的肥胖女童中,基础促黄体生成素(LH)和促卵泡生成素(FSH)水平以及子宫体积被确定为进展为CPP的独立危险因素。在非肥胖女童中,基础LH水平、骨龄和子宫体积被确定为进展为CPP的独立危险因素。肥胖女童的风险预测模型的曲线下面积(AUC)为0.896,优于非肥胖女童的模型(AUC为0.810)。该模型显示出很强的预测准确性。此外,还使用列线图说明了肥胖女童的CPP风险预测模型。该模型在内部验证中表现良好,校准良好,为临床应用提供了显著的净效益。

结论

由基础LH值、基础FSH值和子宫体积组成的肥胖女童CPP风险医学列线图模型,可用于识别肥胖女童中CPP进展高危人群,并制定个体化预防方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/357c/11393738/0334a81793a5/fped-12-1421775-g001.jpg

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