A prediction nomogram for neonatal acute respiratory distress syndrome in late-preterm infants and full-term infants: A retrospective study

作者：Hui Liu, Jing Li, Jingyu Guo, Yuan Shi, Li Wang · 发表于：EClinicalMedicine · 年份：2022 · DOI：10.1016/j.eclinm.2022.101523 · 被引用次数：48 · 研究领域：Neonatal Respiratory Health Research、Neonatal and Maternal Infections、Respiratory Support and Mechanisms

Background Neonatal acute respiratory distress syndrome (ARDS) is a critical clinical disease with high disability and mortality rates. Early identification and treatment of neonatal ARDS is critical. This study aimed to build a perinatal prediction nomogram for early prediction of neonatal ARDS. Methods A prediction model was built including 243 late-preterm and full-term infants from Daping Hospital in Chongqing, China, hospitalised between Jan 1, 2018 and Dec 31, 2019. 80 patients from the Children's Hospital in Chongqing, China, hospitalised between Jan 1, 2018 and June 30, 2018 were considered for external validation. Multivariate logistic regression was performed to identify independent predictors and establish a nomogram to predict the occurrence of neonatal ARDS. Both discrimination and calibration were assessed by bootstrapping with 1000 resamples. Findings Multivariate logistic regression demonstrated that mother's education level (odds ratio [OR] 0·478, 95% confidence interval [CI] 0·324–0·704), premature rupture of membrane (OR 0·296, 95% CI 0·133–0·655), infectious disease within 7 days before delivery (OR 0·275, 95% CI 0·083–0·909), hospital level (OR 2·479, 95% CI 1·260–4·877), and Apgar 5-min score (OR 0·717, 95% CI 0·563–0·913) were independent predictors for neonatal ARDS in late-preterm and full-term infants, who experienced dyspnoea within 24 h after birth and required mechanical ventilation. The area under the curve and concordance index of the nomogram c...