开发和验证亚托皮性皮肤炎预测风险名谱的开发和验证
Jiayue Cui1, Yahui Song1, Qin Rui1
1The Fourth Affiliated Hospital of Soochow University, Suzhou Dushu Lake Hospital, Medical Centre of Soochow University/Centre of Clinical Laboratory and Translational Medicine, Suzhou, China.
Postepy dermatologii i alergologii
|February 5, 2026
概括
经常访问医院,过敏病史,家庭过敏史和婴儿发病是阿托皮性皮肤炎 (AD) 的关键预测因素. 使用这些因素的新预测模型显示,早期AD风险评估具有显著价值.
科学领域:
- 皮肤病学 皮肤病学
- 流行病学 流行病学
- 临床预测建模模型
背景情况:
- 亚托匹性皮肤炎 (AD) 代表了全球健康的重大负担.
- 了解影响AD发病率的因素对于有效管理至关重要.
研究的目的:
- 为了确定与亚托皮性皮肤炎 (AD) 发病率相关的关键因素.
- 开发和验证AD的预测风险名录模型.
主要方法:
- 对469名皮肤炎/湿疹患者 (216名AD,253名非AD) 的回顾性分析.
- 单变量和多变量逻辑回归用于识别风险因素.
- 使用校准曲线,Hosmer-Lemeshow测试,ROC曲线和DCA的模型验证.
主要成果:
- 阿尔茨海默病和非阿尔茨海默病组之间的显著差异包括年龄,过敏史,家族史,婴儿发病,医疗访问,乙氨基细胞计数和IgE水平.
- 确定了AD发病率的关键预测因素:医疗访问次数 (OR=1.16),过敏疾病史 (OR=2.68),过敏家族史 (OR=2.30) 和婴儿发病史 (OR=23.80).
- 预测模型显示了良好的适应性和准确性 (AUC训练=0.808,验证=0.812) 与临床实用性.
结论:
- 经常访问医院,个人/家庭过敏史,以及婴儿发病与阿尔茨海默病的发展密切相关.
- 开发的诺莫格拉姆模型作为预测AD发生的有价值工具.
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