预测儿童牛奶挑战结果:临床预测因素的多变量分析
Luca Delli Colli1, Joshua Yu2, Derek Lanoue3
1Division of Allergy and Clinical Immunology, Department of Pediatrics, Montreal Children's Hospital, Montreal, Québec, Canada.
International archives of allergy and immunology
|March 5, 2025
概括
预测牛的情况
科学领域:
- 过敏和免疫学 过敏和免疫学
- 儿科过敏 儿科过敏
- 临床诊断 临床诊断 临床诊断
背景情况:
- 口服食物挑战 (OFC) 是诊断食物过敏和确定反应值的标准.
- 然而,OFC是资源密集型的,并带有不良反应的风险.
- 关于预测OFC积极结果的因素的数据有限.
研究的目的:
- 确定与积极牛奶口服食品挑战 (OFC) 相关的因素.
- 在儿科患者中开发牛奶OFC结果的预测模型.
主要方法:
- 对111名儿童 (5-18岁) 进行了单盲,安慰剂控制的牛奶OFC.
- 分析的因素包括病史,皮肤刺伤测试大小和血清IgE水平到特定的牛奶蛋白.
- 一个多变量Firth偏差降低后勤回归模型被开发和验证使用接收机操作员特征 (ROC) 曲线.
主要成果:
- 在111名儿童中,有103人对OFC有反应.
- 统一分析发现皮肤刺伤测试大小,先前使用上腺素,喘史和特定牛奶蛋白IgE水平显著.
- 最终的多变量模型结合了日志转化素和先前使用上腺素,显示出强大的预测性能 (AUC 0.928).
结论:
- 综合日志转化素和先前使用上腺素的物流多变量模型可以有效预测儿科患者的OFC结果.
- 该模型为风险分层和临床决策提供了有价值的工具.
- 建议使用更大的数据集进行进一步验证.
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