开发和验证一种非侵入性预测模型,用于识别具有代谢功能障碍相关的脂肪肝疾病的高风险儿童
Yuan Xiaowu1, Dong Jian1, Wen Yizhu1
1Department of Ultrasound, The First Affiliated Hospital, Shihezi University, Shihezi, China.
Frontiers in pediatrics
|August 22, 2025
概括
一个新的健康指数可以识别患有代谢功能障碍相关的脂肪肝 (MAFLD) 的儿童. 该指数使用年龄,体重指数和睡眠时间等因素来早期检测儿科患者的MAFLD.
科学领域:
- 儿童内分泌学
- 代谢疾病
- 公共卫生
背景情况:
- 与代谢功能障碍相关的脂肪肝 (MAFLD) 在儿童中越来越普遍.
- 早期识别和风险分层对于有效管理和预防儿科MAFLD至关重要.
研究的目的:
- 调查MAFLD在儿童中的患病率和危险因素.
- 开发和验证用于儿童群体早期发现MAFLD的新型健康指数评分系统.
主要方法:
- 一项涉及2190名6至18岁儿童的横截面研究.
- 通过问卷和人体测量收集数据.
- 后勤回归和ROC曲线分析以确定风险因素并建立健康指数.
主要成果:
- 在研究队列中,MAFLD的患病率为26. 30%.
- 确定的主要预测因素包括年龄,性别,BMI,WHR,WHtR,睡眠时间和甜点消费.
- 形成的健康指数显示预测准确度中等 (AUC为0. 72- 0. 74),最佳值为11. 5分.
结论:
- 确定了7个独立的儿童MAFLD决定因素.
- 健康指数为儿童早期查提供了临床上有用的工具.
- 这种定量工具可以加强针对儿童代谢障碍的有针对性的预防和资源分配.
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