开发和应用一个名录模型来预测肥胖女孩中部早期青春期的风险
Ren-Hao Huang1,2, Li Yang1, Yu Yang1
1Department of Endocrinology, Jiangxi Provincial Children's Hosptial/Jiangxi Provincial Clinical Research Center for Children's Genetic Metabolic Diseases, Nanchang, China.
Frontiers in pediatrics
|September 16, 2024
概括
这项研究开发了一种名谱,用于预测肥胖女孩的中央早熟青春期 (CPP). 该模型使用基底LH,FSH和子宫体积,显示了早期识别和预防策略的高准确性.
科学领域:
- 儿科内分泌学 儿科内分泌学
- 生殖健康 生殖健康
- 医学诊断 医学诊断 医学诊断
背景情况:
- 肥胖越来越多地与青春期早期发作有关.
- 中部早期青春期 (CPP) 需要及时诊断和干预.
- 预测模型可以帮助识别有风险的人群.
研究的目的:
- 开发和验证一种名谱风险预测模型,专门用于肥胖女孩的CPP.
- 确定肥胖女孩与非肥胖女孩中CPP进展的关键预测因素.
- 改善儿童群体中CPP的早期检测和管理.
主要方法:
- 追溯分析154名肥胖和765名非肥胖女孩的早期青春期 (PP).
- 使用了淋巴激素释放激素刺激测试数据.
- 采用单变量和多变量分析,通过Bootstrap和校准曲线进行内部验证.
主要成果:
- 基础黄素激素 (LH),卵泡刺激激素 (FSH) 和子宫体积是肥胖女孩的显著预测因素.
- 肥胖女孩的诺莫格拉姆模型实现了0.896的AUC,超过了非肥胖女孩的模型 (AUC0.789).
- 开发的名图表显示出强大的预测准确性和良好的校准.
结论:
- 纳米图包括基底LH,基底FSH和子宫体积,可以有效预测肥胖女孩的CPP风险.
- 这种工具有助于识别高风险个体进行有针对性的预防.
- 该模型为个性化管理策略提供临床实用性.
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