SNAP-II predicts severe intraventricular hemorrhage and chronic lung disease in the neonatal intensive care unit

被引：35

作者：

Chien L.-Y. ^{[1
,2
]}

Whyte R. ^{[3
]}

Thiessen P. ^{[1
]}

Walker R. ^{[4
]}

Brabyn D. ^{[5
]}

Lee S.K. ^{[1
,2
]}

机构：

[1] Department of Pediatrics, University of British Columbia, Vancouver, BC

[2] Centre for Community Health and Health Evaluation Research, Vancouver, BC

[3] Department of Pediatrics, Dalhousie University, Halifax, NS

[4] Department of Pediatrics, University of Ottawa, Ottawa, ON

[5] Department of Pediatrics, Royal Columbian Hospital, New Westminster, BC

来源：

Journal of Perinatology | 2002年 / 22卷 / 1期

基金：

英国医学研究理事会;

关键词：

D O I：

10.1038/sj.jp.7210585

中图分类号：

学科分类号：

摘要：

Objective: To determine whether the Score for Neonatal Acute Physiology, Version II (SNAP-II), improved prediction of severe (≥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 ≤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.

引用

页码：26 / 30

页数：4

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