敏化
医学
免疫学
哮喘
免疫球蛋白E
潜在类模型
过敏原
皮肤病科
过敏
抗体
数学
统计
作者
Liting Wu,Teng Zhang,Wenting Luo,Xianhui Zheng,Hong Zhang,Huali Ren,Dongming Huang,Guoping Li,Chunhua Wei,Linghua Dong,Xin Sun,Rongfang Zhang,Yi Wang,Peicun Hu,Yuemin Chen,Qi Zhao,Chuangli Hao,Baoqing Sun
摘要
Abstract Background Allergic rhinitis (AR) is characterized by distinct clinical heterogeneity and allergic sensitization patterns. We aimed to quantify rhinitis symptoms in patients with self‐reported allergic rhinitis according to the potential sensitization patterns for relevant allergens in China. Methods We used latent class analysis (LCA; a subset of structural equation modeling) to independently cluster patients into different patterns of atopic sensitization in an unsupervised manner, based on specific immunoglobulin E tests. AR symptom severity was assessed by the visual analogue scale. We evaluated the association between the severity of AR and the allergen sensitization patterns. Results LCA revealed four phenotypes of atopic sensitization among 967 patients with self‐report AR. We labeled latent classes as: Class 1, weed pollens and indoor sensitization ( n = 74 [7.7%]); Class 2, weed pollen with low indoor sensitization ( n = 275 [28.4%]); Class 3, low or no sensitization ( n = 350 [36.2%]); and Class 4, house dust mite‐dominated sensitization ( n = 268 [27.7%]). AR was more severe in Class 2 compared to the other 3 classes, indicating that upper respiratory symptoms are more severe among patients with isolated seasonal rhinitis. Conclusion We have identified four sensitization patterns in patients with self‐reported AR, which were associated with different clinical symptoms and comorbidities.
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