英语前景队列 (ALSPAC) 和链接的电子健康记录之间关于亚形皮肤炎亚型的分歧
Julian Matthewman1, Amy Mulick1, Nick Dand2
1London School of Hygiene & Tropical Medicine, London, UK.
Clinical and experimental dermatology
|May 16, 2024
概括
电子健康记录 (EHR) 和阿文对父母和儿童的长度研究 (ALSPAC) 对亚形皮肤炎 (AD) 亚型的一致性很差. 这突显了AD诊断数据来源之间的差异.
科学领域:
- 流行病学 流行病学
- 临床信息学 临床信息学
背景情况:
- 在此之前,通过使用来自Avon长度研究父母和儿童 (ALSPAC) 的问卷数据来定义亚博皮肤炎 (AD) 亚博体育app亚博体育app亚博体育app亚博体育app亚博体育app亚博体育app.
- 将ALSPAC数据与电子健康记录 (EHR) 联系起来,可以验证这些亚型,并使大规模研究成为可能.
研究的目的:
- 评估ALSPAC AD症状报告/亚型与EHR数据之间的一致性.
- 开发使用EHRs来分类ALSPACAD亚型的模型.
主要方法:
- 利用链接的ALSPAC队列数据和一般实践的EHR,直到14岁.
- 通过使用EHR中的各种AD定义和用于亚型分类的多项逻辑回归来评估协议.
- 使用ROC AUC,精度,灵敏度和特异性评估模型性能.
主要成果:
- 在ALSPAC衍生的AD亚型和EHR数据之间发现了显著的不一致.
- EHRAD代码频率通常与AD亚型的严重程度相关,但有显著的例外.
- 使用EHR的ALSPACAD亚型的最佳预测模型实现了ROC AUC的0.65.
结论:
- 阿尔斯帕克和EHR在识别AD存在和亚型方面显示出不一致.
- 研究人员必须承认不同数据源之间的AD分类可能存在差异.
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