INSERM, U1168, VIMA: Aging and Chronic Diseases, Epidemiological and Public Health Approaches, F-94807, Villejuif, France; Univ Versailles St-Quentin-en-Yvelines, UMR-S 1168, F-78180, Montigny le Bretonneux, France.
Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Mass.
J Allergy Clin Immunol. 2019 Apr;143(4):1371-1379.e7. doi: 10.1016/j.jaci.2018.08.043. Epub 2018 Sep 18.
A better understanding of bronchiolitis heterogeneity might help clarify its relationship with the development of recurrent wheezing and asthma.
We sought to identify severe bronchiolitis profiles using a clustering approach and to investigate for the first time their association with allergy/inflammatory biomarkers, nasopharyngeal microbiota, and development of recurrent wheezing by age 3 years.
We analyzed data from a prospective, 17-center US cohort study of 921 infants (age <1 year) hospitalized with bronchiolitis (2011-2014 winters) with posthospitalization follow-up. Severe bronchiolitis profiles at baseline (hospitalization) were determined by using latent class analysis based on clinical factors and viral etiology. Blood biomarkers and nasopharyngeal microbiota profiles were determined by using samples collected within 24 hours of hospitalization. Recurrent wheezing by age 3 years was defined based on parental report of breathing problem episodes after discharge.
Three severe bronchiolitis profiles were identified: profile A (15%), which was characterized by a history of breathing problems/eczema during infancy and non-respiratory syncytial virus (mostly rhinovirus) infection; profile B (49%), which has the largest probability of respiratory syncytial virus infection and resembled classic respiratory syncytial virus-induced bronchiolitis; and profile C (36%), which was composed of the most severely ill group. Profile A infants had higher eosinophil counts, higher cathelicidin levels, and increased proportions of Haemophilus-dominant or Moraxella-dominant microbiota profiles. Compared with profile B, we observed significantly increased risk of recurrent wheezing in children with profile A (hazard ratio, 2.64; 95% CI, 1.90-3.68) and, to a lesser extent, with profile C (hazard ratio, 1.51; 95% CI, 1.14-2.01).
Although longer follow-up is needed, our results might help identify, among children hospitalized for bronchiolitis, subgroups with particularly increased risk of asthma.
更好地了解细支气管炎的异质性可能有助于阐明其与反复喘息和哮喘发展之间的关系。
我们试图通过聚类方法确定严重细支气管炎的特征,并首次研究其与过敏/炎症生物标志物、鼻咽微生物群和 3 岁时反复喘息的发展之间的关系。
我们分析了一项前瞻性、美国 17 中心队列研究的数据,该研究纳入了 921 名(<1 岁)因细支气管炎(2011-2014 年冬季)住院的婴儿,在住院后进行了随访。基于临床因素和病毒病因,采用潜在类别分析确定基线(住院时)严重细支气管炎特征。在住院后 24 小时内采集血液生物标志物和鼻咽微生物群样本。3 岁时反复喘息定义为出院后父母报告有呼吸问题发作。
确定了三种严重细支气管炎特征:特征 A(15%),其特征是婴儿期有呼吸问题/湿疹史和非呼吸道合胞病毒(主要是鼻病毒)感染;特征 B(49%),其最有可能感染呼吸道合胞病毒,类似于经典的呼吸道合胞病毒引起的细支气管炎;特征 C(36%),由病情最严重的一组组成。特征 A 婴儿的嗜酸性粒细胞计数较高,抗菌肽水平较高,并且 Haemophilus 优势或 Moraxella 优势的微生物群谱比例增加。与特征 B 相比,我们观察到特征 A 患儿反复喘息的风险显著增加(风险比,2.64;95%CI,1.90-3.68),而特征 C 患儿的风险略有增加(风险比,1.51;95%CI,1.14-2.01)。
尽管需要更长时间的随访,但我们的结果可能有助于在因细支气管炎住院的儿童中确定具有特别高哮喘风险的亚组。