Phaloprakarn Chadakarn, Manusirivithaya Sumonmal, Boonyarittipong Payon
Department of Obstetrics and Gynecology, Navamindradhiraj University, Bangkok, Thailand.
J Obstet Gynaecol Res. 2015 May;41(5):680-8. doi: 10.1111/jog.12610. Epub 2014 Nov 25.
The aim of this study was to develop and validate an antepartum risk score based on maternal and obstetric characteristics to predict the requirement for neonatal intensive care unit (NICU) admission among late preterm infants.
A chart review was performed of 455 singleton late preterm deliveries at our institution between July 2010 and December 2011. Logistic regression analysis was used to develop a risk score, which was derived from β coefficients of the significant variables. A receiver-operator curve was plotted to determine the optimal cut-off score for predicting NICU admission. Validation of the score was tested in another cohort of 450 women who delivered a singleton late preterm infant between January 2012 and June 2013.
A total of 98 infants (21.5%) in the development cohort were admitted to the NICU. The significant factors for NICU admission included: premature rupture of membranes, antepartum hemorrhage, medical disorders during pregnancy, prenatal estimation of fetal weight, gestational age at delivery, and mode of delivery. These six variables were integrated into a risk-scoring model, which ranged from -2 to 9 points. A cut-off score of ≥1 produced the maximum area under the receiver-operator curve of 0.764. At this cut-off point, the sensitivity was 79.6% and specificity was 73.1%. When the risk score was tested in the validation cohort, similar results were demonstrated.
An antepartum risk score was developed to predict the requirement for NICU admission among late preterm infants and was validated in an independent cohort.
本研究旨在基于母亲和产科特征开发并验证一种产前风险评分系统,以预测晚期早产儿入住新生儿重症监护病房(NICU)的需求。
对2010年7月至2011年12月间在我院分娩的455例单胎晚期早产儿病历进行回顾性分析。采用逻辑回归分析得出风险评分,该评分源自显著变量的β系数。绘制受试者工作特征曲线以确定预测NICU入住的最佳截断分数。在另一组于2012年1月至2013年6月间分娩单胎晚期早产儿的450名女性中对该评分进行验证。
在开发队列中,共有98例婴儿(21.5%)入住NICU。入住NICU的显著因素包括:胎膜早破、产前出血、孕期内科疾病、产前胎儿体重估计、分娩时孕周及分娩方式。这六个变量被整合到一个风险评分模型中,该模型的分数范围为-2至9分。截断分数≥1时,受试者工作特征曲线下面积最大,为0.764。在此截断点,敏感性为79.6%,特异性为73.1%。在验证队列中测试风险评分时,得到了相似的结果。
开发了一种产前风险评分系统来预测晚期早产儿入住NICU的需求,并在一个独立队列中进行了验证。