Pérez-Tarazona Santiago, Marset Gema, Part Mar, López Carmen, Pérez-Lara Laura
Division of Neonatology, La Fe University and Polytechnic Hospital, Valencia, Spain.
Division of Neonatology, La Fe University and Polytechnic Hospital, Valencia, Spain.
J Pediatr. 2022 Dec;251:67-73.e2. doi: 10.1016/j.jpeds.2022.05.037. Epub 2022 May 28.
To assess the clinical applicability of the current definitions of bronchopulmonary dysplasia (BPD) and their ability to predict subsequent respiratory outcomes.
In this retrospective cohort study, data were collected from 104 preterm infants (mean gestational age, 25.8 weeks) diagnosed with BPD between 2010 and 2018 at a single tertiary care center. The infants were classified according to the following definitions: 2001 National Institute of Child Health and Human Development (NICHD), 2017 Canadian Neonatal Network (CNN), 2018 NICHD, and 2019 Neonatal Research Network (NRN). Logistic regression and the area under the receiver operating characteristic curve (AUC) were used to assess the predictive ability of each definition on mortality or severe respiratory morbidity at 18-24 months of age.
All patients could be adequately classified by each definition, except for the 2001 NICHD definition, in which 11.4% were unclassifiable. The prevalence of BPD was 49% by the 2017 CNN definition and 70% by the 2018 NICHD and 2019 NRN definitions. The best regression model was the one that included the 2018 NICHD definition, which had an accuracy of 85.6% and a significantly higher AUC compared with the 2001 NICHD (0.891 vs 0.824; P = .015) and 2017 CNN (0.891 vs 0.811; P = .036) definitions, but not compared with the 2019 NRN definition (0.891 vs 0.833; P = .09).
The current definitions of BPD showed a good predictive ability for mid-term respiratory outcomes, with the highest ability for the 2018 NICHD definition. Further studies are needed to establish the most appropriate definition of BPD.
评估支气管肺发育不良(BPD)现行定义的临床适用性及其预测后续呼吸结局的能力。
在这项回顾性队列研究中,收集了2010年至2018年期间在一家三级医疗中心诊断为BPD的104例早产儿(平均胎龄25.8周)的数据。根据以下定义对婴儿进行分类:2001年美国国立儿童健康与人类发展研究所(NICHD)定义、2017年加拿大新生儿网络(CNN)定义、2018年NICHD定义和2019年新生儿研究网络(NRN)定义。采用逻辑回归和受试者操作特征曲线下面积(AUC)评估各定义对18至24个月龄时死亡率或严重呼吸疾病的预测能力。
除2001年NICHD定义外,所有患者均可根据各定义进行充分分类,其中11.4%无法分类。根据2017年CNN定义,BPD的患病率为49%,根据2018年NICHD和2019年NRN定义为70%。最佳回归模型是包含2018年NICHD定义的模型,其准确率为85.6%,与2001年NICHD(0.891对0.824;P = 0.015)和2017年CNN(0.891对0.811;P = 0.036)定义相比AUC显著更高,但与2019年NRN定义相比(0.891对...