早期识别患有心脏代谢功能障碍的儿童的非侵入性工具:来自PODiaCar项目的数据
Valeria Calcaterra1,2, Lucia Labati3,4, Cristina Campoy5,6
1Department of Internal Medicine and Therapeutics, University of Pavia, Pavia, Italy. valeria.calcaterra@unipv.it.
Pediatric research
|December 3, 2025
概括
一个新的22个变量工具可以准确地识别患有代谢综合征 (MetS) 风险的儿童. 7分或更高的得分表明心脏代谢风险较高,有助于早期检测和预防工作.
科学领域:
- 儿科内分泌学 儿科内分泌学
- 心血管健康 心血管健康
- 代谢障碍 代谢障碍 代谢障碍
背景情况:
- 早期识别患有代谢综合征 (MetS) 风险的儿童对于检测心脏代谢疾病特征至关重要.
- 儿童的代谢综合征与心血管并发症风险增加有关.
研究的目的:
- 开发一种简单,用户友好的工具,用于检测儿科心脏代谢风险.
- 用临床,营养和生活方式数据进行风险评估.
主要方法:
- 评估了317名儿童 (平均年龄11.35±3.62岁) 的队列.
- 代谢风险是由MetSz-score>0.75定义的; MetS诊断需要≥3个改变的参数 (身体组成,血压,葡萄糖,脂质).
- 一个具有22个变量的工具产生了累积风险评分;≥7表示高风险.
主要成果:
- 在62.15%的受试者中发现了病态的MetSz-score;在39.4%的受试者中诊断出MetS.
- 查工具 (得分≥7) 显示了良好的灵敏度 (76.8%) 和负预测值 (77.5%).
- 准确率为61.8%,具有中度的特异性 (52.1%) 和积极的预测值 (51.1%).
结论:
- 累积风险评分≥7可靠地确定患有心脏代谢风险的儿童.
- 22变量工具是一种敏感的,非侵入性的方法,用于早期检测儿科心脏代谢风险.
- 该工具支持临床医生进行预防,监测和个性化护理,从而有可能降低医疗保健成本.
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