Vanderbilt University Medical Center, Department of Medicine, Division of Allergy, Pulmonary, and Critical Care Medicine, T-1218 Medical Center North, Nashville, TN, United States of America.
Vanderbilt University Medical Center, Department of Obstetrics and Gynecology, B-1118 MCN, Nashville, TN, United States of America.
PLoS One. 2018 Apr 17;13(4):e0194739. doi: 10.1371/journal.pone.0194739. eCollection 2018.
The International Study of Asthma and Allergies in Children (ISAAC) Wheezing Module is commonly used to characterize pediatric asthma in epidemiological studies, including nearly all airway cohorts participating in the Environmental Influences on Child Health Outcomes (ECHO) consortium. However, there is no consensus model for operationalizing wheezing severity with this instrument in explanatory research studies. Severity is typically measured using coarsely-defined categorical variables, reducing power and potentially underestimating etiological associations. More precise measurement approaches could improve testing of etiological theories of wheezing illness.
We evaluated a continuous latent variable model of pediatric wheezing severity based on four ISAAC Wheezing Module items. Analyses included subgroups of children from three independent cohorts whose parents reported past wheezing: infants ages 0-2 in the INSPIRE birth cohort study (Cohort 1; n = 657), 6-7-year-old North American children from Phase One of the ISAAC study (Cohort 2; n = 2,765), and 5-6-year-old children in the EHAAS birth cohort study (Cohort 3; n = 102). Models were estimated using structural equation modeling.
In all cohorts, covariance patterns implied by the latent variable model were consistent with the observed data, as indicated by non-significant χ2 goodness of fit tests (no evidence of model misspecification). Cohort 1 analyses showed that the latent factor structure was stable across time points and child sexes. In both cohorts 1 and 3, the latent wheezing severity variable was prospectively associated with wheeze-related clinical outcomes, including physician asthma diagnosis, acute corticosteroid use, and wheeze-related outpatient medical visits when adjusting for confounders.
We developed an easily applicable continuous latent variable model of pediatric wheezing severity based on items from the well-validated ISAAC Wheezing Module. This model prospectively associates with asthma morbidity, as demonstrated in two ECHO birth cohort studies, and provides a more statistically powerful method of testing etiologic hypotheses of childhood wheezing illness and asthma.
国际儿童哮喘和过敏研究(ISAAC)喘息模块常用于描述流行病学研究中的儿科哮喘,包括几乎所有参与环境对儿童健康结果影响(ECHO)联盟的气道队列。然而,在解释性研究中,使用该工具操作喘息严重程度尚无共识模型。严重程度通常使用粗略定义的分类变量来衡量,这会降低效能并可能低估病因关联。更精确的测量方法可以改善对喘息疾病病因理论的检验。
我们评估了一种基于 ISAAC 喘息模块四项内容的儿科喘息严重程度的连续潜在变量模型。分析包括三个独立队列中报告过去喘息的父母的儿童亚组:INSPIRE 出生队列研究中的 0-2 岁婴儿(队列 1;n=657)、ISAAC 研究第一阶段的 6-7 岁北美儿童(队列 2;n=2765)和 EHAAS 出生队列研究中的 5-6 岁儿童(队列 3;n=102)。使用结构方程模型估计模型。
在所有队列中,潜在变量模型的协方差模式与观察数据一致,表明 χ2 拟合优度检验无显著差异(无模型指定不当的证据)。队列 1 的分析表明,潜在因子结构在时间点和儿童性别上均稳定。在队列 1 和 3 中,潜在喘息严重程度变量与喘息相关的临床结局(包括医生哮喘诊断、急性皮质类固醇使用以及调整混杂因素后的喘息相关门诊医疗就诊)均具有前瞻性关联。
我们基于经过充分验证的 ISAAC 喘息模块的项目开发了一种易于应用的儿科喘息严重程度的连续潜在变量模型。该模型在两项 ECHO 出生队列研究中与哮喘发病率相关,为儿童喘息疾病和哮喘的病因假说提供了更具统计效力的检验方法。