Yang Min, Deng Xiangling, Wang Shunan, Wang Kundi, Niu Wenquan, Zhang Zhixin
Graduate School, Beijing University of Chinese Medicine, Beijing, China.
Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China.
Transl Pediatr. 2021 Aug;10(8):1989-2005. doi: 10.21037/tp-21-124.
Childhood allergic diseases are increasing worldwide with unprecedented complexity and severity, and they cause a major burden on health and healthcare costs. We aimed to identify potential factors, both in isolation and in combination, associated with allergic diseases among preschool-aged children, and to construct a nomogram prediction model based on significant factors.
We cross-sectionally recruited 9,501 preschool-aged children from 30 kindergartens in Beijing and Tangshan. Allergic diseases were ascertained according to the "International Study of Asthma and Allergies in Childhood" questionnaire. Risk for allergic diseases is quantified by odds ratio (OR) with 95% confidence interval (CI).
Four factors were identified to be independently, consistently, and significantly associated with the risk for allergic diseases overall and by four clinical manifestations separately, including bedtime (per 1 hour late) (taking asthma/wheezing as an example, OR, 95% CI, P: 1.21, 1.08 to 1.35, 0.001), outdoor activities ≤1.5 h per day (1.45, 1.26 to 1.68, 3.77E-07), family history of allergic diseases (2.23, 1.92 to 2.60, 0.00E+00), and antibiotic use during childhood (3.64, 2.44 to 5.42, 1.66E-10). Further analyses revealed that family history of allergic diseases acted with antibiotic use during childhood in an additive manner. For practical reasons, risk prediction nomogram models were constructed for allergic diseases respectively in Beijing and Tangshan based on significant and conventional factors, and the prediction accuracy was good, with the C-index 69% in Tangshan and 68% in Beijing (both P=0.00E+00).
Our findings identified four factors in significant association with the risk for allergic diseases, and in particular family history of allergic diseases and antibiotic use during childhood acted additively.
儿童过敏性疾病在全球范围内日益增多,其复杂性和严重性达到前所未有的程度,给健康和医疗成本带来了重大负担。我们旨在识别学龄前儿童过敏性疾病的潜在因素,包括单独因素和组合因素,并基于显著因素构建列线图预测模型。
我们从北京和唐山的30所幼儿园中横断面招募了9501名学龄前儿童。根据“儿童哮喘和过敏国际研究”问卷确定过敏性疾病。过敏性疾病风险通过比值比(OR)及95%置信区间(CI)进行量化。
确定了四个因素与总体过敏性疾病风险以及分别与四种临床表现独立、一致且显著相关,包括就寝时间(每推迟1小时)(以哮喘/喘息为例,OR,95%CI,P:1.21,1.08至1.35,0.001)、每天户外活动≤1.5小时(1.45,1.26至1.68,3.77E - 07)、过敏性疾病家族史(2.23,1.92至2.60,0.00E + 00)以及儿童期抗生素使用(3.64,2.44至5.42,1.66E - 10)。进一步分析显示,过敏性疾病家族史与儿童期抗生素使用以相加方式起作用。出于实际原因,基于显著和常规因素分别在北京和唐山构建了过敏性疾病风险预测列线图模型,预测准确性良好,唐山的C指数为69%,北京为68%(均P = 0.00E + 00)。
我们的研究结果确定了四个与过敏性疾病风险显著相关的因素,特别是过敏性疾病家族史和儿童期抗生素使用以相加方式起作用。