Defining and identifying early-onset lung disease in cystic fibrosis with cumulative clinical characteristics

囊性纤维化早期肺部疾病的累积临床特征及其定义和识别

阅读:1

Abstract

BACKGROUND: Because of the heterogeneity in cystic fibrosis (CF) lung disease among young children, a clinical method to identify early-onset lung disease is needed. OBJECTIVE: To develop a CF early-onset lung disease (CFELD) scoring system by utilizing prospectively collected longitudinal data on manifestations in the first 3 years of life. DESIGN: We studied 145 infants born during 2012-2017, diagnosed through newborn screening by age 3 months, and followed to 36 months of age. Cough severity, pulmonary exacerbations (PEx), respiratory cultures, and hospitalizations were collected at each CF center visit (every 1-2 months in infancy and quarterly thereafter). These data were used to construct the CFELD system and to classify lung disease into five categories: asymptomatic, minimal, mild, moderate, and severe. RESULTS: The most frequent manifestation of CF early lung disease was MD-reported PEx episodes, PEx hospitalizations, and positive Pseudomonas aeruginosa cultures. Parent-reported cough severity was correlated with the number of respiratory hospitalizations (r = 0.48, p < 0.0001). The distribution of CFELD categories was 10% asymptomatic, 17% minimal, 29% mild, 33% moderate, and 12% severe. The moderate and severe categories occurred threefold higher in pancreatic insufficient (PI, 49%) versus sufficient subjects (16%), p < 0.0001. In addition to PI, gastrointestinal and nutrition-related hospitalizations, plasma cytokines interleukin (IL)-6 and IL-10, duration of CFTR modulator therapy, and type of health insurance were significant predictors of CFELD scores. CONCLUSION: The CFELD scoring system is novel, allows systematic evaluation of lung disease prognosis early, and may aid in therapeutic decision-making particularly in the initiation of CFTR modulator therapy.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。