International forum of allergy & rhinology · 2022
Rhinitis symptom in patients with self-reported allergic rhinitis is influenced by sensitization pattern: A cross-sectional study of China.
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Wu Liting, Zhang Teng, Luo Wenting, Zheng Xianhui, Zhang Hong, Ren Huali, Huang Dongming, Li Guoping, Wei Chunhua, Dong Linghua, Sun Xin, Zhang Rongfang, Wang Yi, Hu Peicun, Chen Yuemin, Zhao Qi, Hao Chuangli, Sun Baoqing
Аннотация
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.
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.