Zhao Lei, Fang Jie, Ji Yong, Zhang Yingying, Zhou Xin, Yin Junfeng, Zhang Min, Bao Wuping
Department of Respiratory Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Department of Laboratory Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Clin Transl Allergy. 2023 Jul;13(7):e12281. doi: 10.1002/clt2.12281.
Atopy varies in people of different ages owing to different physical conditions and exposure to allergens. We aimed to cluster ages based on atopic severity using K-means cluster analysis and identify atopic incidence, severity, as well as the association among peripheral eosinophils, IgE and sensitisation.
Consecutive patients (n = 7654) with allergic symptoms and undergoing allergen-specific IgE tests were included from 2013 to 2017. Age, sex, specific-IgE, peripheral eosinophil counts and total-IgE were collected.
Five age categories were identified: 1-17, 18-36, 37-52, 53-69 and 70-100 years. The incidences of atopy and poly-sensitisation decreased with increasing age. Similar trend was observed for aeroallergens, egg and milk but not for peanuts, soy or seafood. Dust mites remain the crucial factor bothering patients with allergic symptoms, especially for children and adolescents. In patients aged <52 years, sensitisation to aeroallergens was more prevalent than food. In group 37-52 years, incidence of females' atopy was higher than that of males. The overlap of atopy, high eosinophils, and high total-IgE was found in only 19.18% of patients. The trend of allergen-test positivity is not parallel to total IgE and peripheral eosinophil counts.
Age-grouping based on cluster analysis helps to find the changes in atopic status and distribution of sensitised allergens with age. Allergen tests are still necessary in the clinical diagnosis and treatment. An innovative exploration of the influence of age and allergens on total-IgE and eosinophil counts is helpful for the development of bio-targeted precision therapy.
ChiCTR2300067700.
由于身体状况和接触过敏原的不同，特应性在不同年龄段的人群中存在差异。我们旨在使用K均值聚类分析根据特应性严重程度对年龄进行聚类，并确定特应性发病率、严重程度以及外周嗜酸性粒细胞、免疫球蛋白E（IgE）和致敏之间的关联。
纳入2013年至2017年连续的有过敏症状并接受过敏原特异性IgE检测的患者（n = 7654）。收集年龄、性别、特异性IgE、外周嗜酸性粒细胞计数和总IgE。
确定了五个年龄类别：1至17岁、18至36岁、37至52岁、53至69岁和70至100岁。特应性和多重致敏的发病率随年龄增长而降低。气传过敏原、鸡蛋和牛奶观察到类似趋势，但花生、大豆或海鲜则不然。尘螨仍然是困扰过敏症状患者的关键因素，尤其是儿童和青少年。在年龄小于52岁的患者中，对气传过敏原的致敏比对食物的致敏更普遍。在37至52岁组中，女性特应性发病率高于男性。仅19.18%的患者存在特应性、高嗜酸性粒细胞和高总IgE的重叠。过敏原检测阳性趋势与总IgE和外周嗜酸性粒细胞计数不平行。
基于聚类分析的年龄分组有助于发现特应性状态和致敏过敏原分布随年龄的变化。过敏原检测在临床诊断和治疗中仍然是必要的。对年龄和过敏原对总IgE和嗜酸性粒细胞计数影响的创新性探索有助于生物靶向精准治疗的发展。
ChiCTR2300067700
