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CRIB II score versus gestational age and birth weight in preterm infant mortality prediction: who will win the bet?

机译:在早产儿死亡率预测中,CRIB II得分与胎龄和出生体重的关系:谁将赢得赌注?

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摘要

Introduction. In neonatology, various illness severity scores have been developed to predict mortality and morbidity risk in neonates. The aim of our study was to validate the ability of the ‘Clinical Risk Index for Babies’ (CRIB) II score to predict mortality in neonates born before 32 weeks’ gestation in a level 3 neonatal intensive care unit (NICU), setting.Materials and Methods. Prospective birth cohort study including all live-born neonates of 32 weeks’ gestation or less. . CRIB II score was calculated and the predicted mortality was compared with the observed mortality. Discrimination (the ability of the score to correctly predict survival or death) was assessed by calculating the receiver operating characteristic curve (ROC curve) and its associated area under the curve (AUC).Results. The ROC curve analysis in our study showed that the AUC was 0.9008 suggesting that mortality prediction was 90% accurate for all infants. Sensitivity and specificity were 77% and 88% respectively. In our study population, the CRIB II score appears to be more accurate than gestational age and birth weight in predicting mortality.Conclusions. The CRIB II scoring system is a useful tool for predicting mortality and morbidity in NICUs, and also a useful tool for evaluating the variations in mortality and other outcomes seen between different NICUs.
机译:介绍。在新生儿科,已经开发出各种疾病严重程度评分来预测新生儿的死亡率和发病风险。我们研究的目的是验证3级新生儿重症监护病房(NICU)设置的``婴儿临床风险指数''(CRIB)II得分预测孕32周之前出生的新生儿死亡率的能力。和方法。前瞻性出生队列研究包括所有32周或以下妊娠的活产新生儿。 。计算CRIB II得分,并将预测的死亡率与观察到的死亡率进行比较。通过计算接收器工作特征曲线(ROC曲线)及其相关曲线下面积(AUC)来评估辨别力(得分正确预测生存或死亡的能力)。在我们的研究中,ROC曲线分析显示AUC为0.9008,这表明所有婴儿的死亡率预测准确率为90%。敏感性和特异性分别为77%和88%。在我们的研究人群中,CRIB II评分在预测死亡率方面似乎比胎龄和出生体重更准确。 CRIB II评分系统是预测重症监护病房死亡率和发病率的有用工具,也是评估不同重症监护病房死亡率和其他结局变化的有用工具。

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