发育医学电子杂志2026，Vol.14Issue(1)：38-44,7.DOI:10.3969/j.issn.2095-5340.2026.01.006
新生儿呼吸窘迫综合征预测模型的构建与验证
Establishment and validation of a prediction model for neonatal respiratory distress syndrome
摘要
Abstract
Objective To investigate the incidence of neonatal respiratory distress syndrome(NRDS)and its associated risk factors,and to develop and validate a nomogram prediction model for assessing the risk of NRDS in newborns.Methods The clinical data of 200 newborns admitted to Beijing Friendship Hospital,Capital Medical University from January 2020 to January 2023 were retrospectively analyzed,based on the occurrence of NRDS,the newborns were divided into the unfavorable group(n=40,with NRDS)and favorable group(n=160,without NRDS).Maternal and neonatal conditions during the follow-up period were recorded and observed.Maternal data included age,history of adverse pregnancy outcomes,body weight,reproductive system diseases,mode of delivery,placental abruption,intrauterine infection,number of fetuses,gestational hypertension,and gestational diabetes mellitus.Neonatal data included gender,premature rupture of membranes,gestational age,amniotic fluid aspiration,body weight,intrauterine distress,meconium-stained amniotic fluid,birth asphyxia,and neonatal infection.Multivariate Logistic regression analysis was used to explore the influencing factors of NRDS in newborns.Receiver operating characteristic(ROC)curves and the area under the curve(AUC)were used to evaluate the predictive performance of each factor.Based on the above factors,a nomogram prediction model for the occurrence of NRDS in newborns was constructed,and consistency and discrimination were verified.Statistical analysis was performed by χ2-test.Results Among the 200 newborns,40 cases developed NRDS,while 160 cases did not,with an incidence rate of 20.00%for NRDS in newborns.The proportions of intrauterine infection,multiple gestation,gestational hypertension,and gestational diabetes in the unfavorable group were higher than those in the favorable group[60.00%(24/40)vs 33.13%(53/160),77.50%(31/40)vs 54.37%(87/160),90.00%(36/40)vs 65.63%(105/160),and 77.50%(31/40)vs 41.25%(66/160),respectively;all P<0.05].The proportions of amniotic fluid meconium staining,gestational age<37 weeks,birth weight<2 000 g,and birth asphyxia in the unfavorable group were higher than those in the favorable group[82.50%(33/40)vs 52.50%(84/160),85.00%(34/40)vs 50.00%(80/160),80.00%(32/40)vs 58.13%(93/160),and 87.50%(35/40)vs 46.88%(75/160),respectively;all P<0.05].The results of multivariate Logistic regression analysis showed that multiple gestation gestational hypertension,gestational diabetes,neonatal birth weight<2 000 g,amniotic fluid meconium staining,intrauterine infection,gestational age<37 weeks,and birth asphyxia were the risk factors for the occurrence of NRDS in newborns(all P<0.05).The results of ROC curve analysis showed that the above factors had good predictive value for the occurrence of NRDS in newborns(the AUC values were 0.616,0.747,0.681,0.609,0.650,0.634,0.675,and 0.703 respectively;all P<0.05).Based on the above factors,a nomogram prediction model for the occurrence of NRDS in newborns was constructed.The AUC was 0.909,(95%CI:0.847-0.970),and the C-index was 0.912.The consistency and discrimination of this model both performed well.Conclusion Multiple gestation,gestational hypertension,gestational diabetes,neonatal birth weight<2 000 g,amniotic fluid meconium staining,intrauterine infection,gestational age<37 weeks,and birth asphyxia are the risk factors for the occurrence of NRDS in newborns.The nomogram prediction model constructed based on these factors can reliably evaluate the probability of NRDS occurrence in newborns.The establishment of this nomogram model contributes to predicting the incidence of NRDS.关键词
新生儿/呼吸窘迫综合征/列线图/诊断模型Key words
Newborn/Respiratory distress syndrome/Nomogram/Diagnostic model引用本文复制引用
王悦,任小忱,王文慧,朱媛昱,徐丹,吴迪,梁坤..新生儿呼吸窘迫综合征预测模型的构建与验证[J].发育医学电子杂志,2026,14(1):38-44,7.基金项目
河北省医学科学研究重点课题计划项目(20221763) （20221763）
