Department of Pediatrics, University of Rochester Medical Center, Rochester, NY.
Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY.
J Pediatr. 2019 Nov;214:12-19.e3. doi: 10.1016/j.jpeds.2019.06.061. Epub 2019 Jul 31.
To develop a valid research tool to measure infant respiratory illness severity using parent-reported symptoms.
Nose and throat swabs were collected monthly for 1 year and during respiratory illnesses for 2 years in a prospective study of term and preterm infants in the Prematurity, Respiratory Outcomes, Immune System and Microbiome study. Viral pathogens were detected using Taqman Array Cards. Parents recorded symptoms during respiratory illnesses using a Childhood Origins of Asthma (COAST) scorecard. The COAST score was validated using linear mixed effects regression modeling to evaluate associations with hospitalization and specific infections. A data-driven method was also used to compute symptom weights and derive a new score, the Infant Research Respiratory Infection Severity Score (IRRISS). Linear mixed effects regression modeling was repeated with the IRRISS illness data.
From April 2013 to April 2017, 50 term, 40 late preterm, and 28 extremely low gestational age (<29 weeks of gestation) infants had 303 respiratory illness visits with viral testing and parent-reported symptoms. A range of illness severity was described with 39% of illness scores suggestive of severe disease. Both the COAST score and IRRISS were associated with respiratory syncytial virus infection and hospitalization. Gestational age and human rhinovirus infection were inversely associated with both scoring systems. The IRRISS and COAST scores were highly correlated (r = 0.93; P < .0001).
Using parent-reported symptoms, we validated the COAST score as a measure of respiratory illness severity in infants. The new IRRISS score performed as well as the COAST score.
开发一种有效的研究工具,通过家长报告的症状来衡量婴儿呼吸道疾病的严重程度。
在早产儿、呼吸结局、免疫系统和微生物组研究中,对足月和早产儿进行前瞻性研究,每月采集鼻喉拭子 1 年,并在呼吸道疾病期间采集 2 年。使用 Taqman 阵列卡检测病毒病原体。父母在呼吸道疾病期间使用儿童起源哮喘(COAST)记分卡记录症状。使用线性混合效应回归模型验证 COAST 评分,以评估与住院和特定感染的关联。还使用数据驱动方法计算症状权重并得出新的评分,即婴儿研究呼吸道感染严重程度评分(IRRISS)。使用 IRRISS 疾病数据重复线性混合效应回归模型。
从 2013 年 4 月至 2017 年 4 月,50 名足月、40 名晚期早产儿和 28 名极低胎龄(<29 周妊娠)婴儿进行了 303 次呼吸道疾病就诊,进行了病毒检测和家长报告的症状。描述了一系列疾病严重程度,39%的疾病评分提示疾病严重。COAST 评分和 IRRISS 均与呼吸道合胞病毒感染和住院有关。胎龄和人类鼻病毒感染与两个评分系统呈负相关。IRRISS 和 COAST 评分高度相关(r=0.93;P<.0001)。
使用家长报告的症状,我们验证了 COAST 评分作为衡量婴儿呼吸道疾病严重程度的指标。新的 IRRISS 评分与 COAST 评分一样有效。