PDF(Pubmed)
Abstract：
BACKGROUND: 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.
METHODS: 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.
RESULTS: 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.
CONCLUSIONS: 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.
BACKGROUND: ChiCTR2300067700.
METHODS: 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.
RESULTS: 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.
CONCLUSIONS: 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.
BACKGROUND: ChiCTR2300067700.
摘要：
背景：由于不同的身体状况和对过敏原的暴露，不同年龄的人的孤独症会有所不同。我们的目标是使用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之间的关联，IgE和致敏。
方法：纳入2013年至2017年出现过敏症状并接受过敏原特异性IgE检测的连续患者（n=7654）。年龄,性别,特异性IgE,收集外周嗜酸性粒细胞计数和总IgE.
结果：确定了五个年龄类别：1-17、18-36、37-52、53-69和70-100岁。随着年龄的增长，特应性和多敏化的发生率降低。对于空气过敏原也观察到了类似的趋势，鸡蛋和牛奶，但不是花生，大豆或海鲜。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<52岁的患者中，对空气过敏原的致敏性比食物更普遍。在37-52岁组中，女性过敏的发病率高于男性。特应性的重叠，高嗜酸性粒细胞，只有19.18％的患者发现高总IgE。过敏原检测阳性的趋势与总IgE和外周嗜酸性粒细胞计数并不平行。
结论：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的分布随年龄的变化。过敏原检测在临床诊断和治疗中仍有必要。创新探索年龄和过敏原对总IgE和嗜酸性粒细胞计数的影响有助于生物靶向精准治疗的发展。
背景：ChiCTR2300067700。
方法：纳入2013年至2017年出现过敏症状并接受过敏原特异性IgE检测的连续患者（n=7654）。年龄,性别,特异性IgE,收集外周嗜酸性粒细胞计数和总IgE.
结果：确定了五个年龄类别：1-17、18-36、37-52、53-69和70-100岁。随着年龄的增长，特应性和多敏化的发生率降低。对于空气过敏原也观察到了类似的趋势，鸡蛋和牛奶，但不是花生，大豆或海鲜。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<52岁的患者中，对空气过敏原的致敏性比食物更普遍。在37-52岁组中，女性过敏的发病率高于男性。特应性的重叠，高嗜酸性粒细胞，只有19.18％的患者发现高总IgE。过敏原检测阳性的趋势与总IgE和外周嗜酸性粒细胞计数并不平行。
结论：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的分布随年龄的变化。过敏原检测在临床诊断和治疗中仍有必要。创新探索年龄和过敏原对总IgE和嗜酸性粒细胞计数的影响有助于生物靶向精准治疗的发展。
背景：ChiCTR2300067700。
