新生儿重症监护病房中，Snap-II评分可预测严重脑室内出血和慢性肺病。
Snap-II predicts severe intraventricular hemorrhage and chronic lung disease in the neonatal intensive care unit.
作者信息
Chien Li-Yin, Whyte Robin, Thiessen Paul, Walker Robin, Brabyn David, Lee Shoo K
机构信息
Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada.
出版信息
J Perinatol. 2002 Jan;22(1):26-30. doi: 10.1038/sj.jp.7210585.
OBJECTIVE
To determine whether the Score for Neonatal Acute Physiology, Version II (SNAP-II), improved prediction of severe (> or = grade III) intraventricular hemorrhage (IVH) and chronic lung disease (CLD) when compared to models using gestational age (GA) and traditional risk factors (e.g., Apgar score, small-for-gestational-age, sex, outborn status).
STUDY DESIGN
We examined 4226 infants < or = 32 weeks' GA admitted to 17 Canadian neonatal intensive care units between 1996 and 1997. We compared prediction models for severe IVH and CLD, with and without SNAP-II.
RESULTS
SNAP-II was a significant and independent predictor of severe IVH and CLD. Addition of SNAP-II to models using GA and traditional risk variables significantly (p<0.05) improved model prediction (AUC 0.8 for severe IVH; 0.83 for CLD). Models were well calibrated (p>0.05 for Hosmer-Lemeshow goodness of fit test).
CONCLUSION
Addition of SNAP-II to models using GA and traditional risk factors significantly improves prediction of severe IVH and CLD.
目的
与使用胎龄（GA）和传统危险因素（如阿氏评分、小于胎龄儿、性别、外院出生状态）的模型相比，确定新生儿急性生理学评分第二版（SNAP-II）是否能改善对重度（≥III级）脑室内出血（IVH）和慢性肺病（CLD）的预测。
研究设计
我们研究了1996年至1997年间入住17家加拿大新生儿重症监护病房的4226例GA≤32周的婴儿。我们比较了有和没有SNAP-II的重度IVH和CLD预测模型。
结果
SNAP-II是重度IVH和CLD的显著且独立的预测指标。将SNAP-II添加到使用GA和传统风险变量的模型中，显著（p<0.05）改善了模型预测（重度IVH的曲线下面积为0.8；CLD为0.83）。模型校准良好（Hosmer-Lemeshow拟合优度检验p>0.05）。
结论
将SNAP-II添加到使用GA和传统危险因素的模型中，可显著改善对重度IVH和CLD的预测。
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