在CorEvitas牛皮登记处的患者中开发牛皮评估工具
Wayne P Gulliver1, Kyoungah See2, Baojin Zhu2
1St. John's, Newfoundland and Labrador, Memorial University of Newfoundland, Newfoundland, Canada.
Journal of psoriasis and psoriatic arthritis
|September 19, 2024
概括
使用身体表面积 (BSA) 和调查员全球评估 (IGA) 的新型牛皮评估工具有效预测临床环境中的牛皮面积和严重程度指数 (PASI) 评分.
科学领域:
- 皮肤病学 皮肤病学
- 临床研究 临床研究
- 生物统计学 生物统计学
背景情况:
- 皮肤科医生需要 psoriasis 严重程度评估工具.
- 目前的方法可能不容易在常规的临床实践中应用.
研究的目的:
- 开发和验证牛皮评估工具,用于预测牛皮区域和严重程度指数 (PASI) 和皮肤病生命质量指数 (DLQI).
- 使用通常在临床访问期间收集的简单措施.
主要方法:
- 来自CorEvitas牛皮病登记处的33605名斑块牛皮患者访问的分析.
- 评估了16个线性回归模型,2个阶段性选择模型和1个弹性网模型,使用BSA,IGA,和疼痛等变量.
- 使用调整后的R平方 (R2adj) 和根平均平方误差 (RMSE) 评估模型性能,并对PASI75,PASI90和DLQI 0/1.1进行一致性.
主要成果:
- 结合身体表面积 (BSA) 和调查人员全球评估 (IGA) 的模型显示出预测PASI的最佳表现 (R2adj = .72,RMSE = 2.93).
- 结合IGA的模型在预测PASI75和PASI90.0方面显示出很高的一致性.
- 使用这些模型预测DLQI得分被发现是有限的.
结论:
- 结合BSA和IGA的评估工具是预测临床皮肤病学PASI的一个有希望的选择.
- 这种工具可以在实践中简化牛皮的严重程度评估.
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