Harsha Shivanna Sree, Archana Banur Raju
Assistant Professor, Department of Paediatrics, Sri Siddhartha Medical College , Tumkur, Karnataka, India .
Assistant Professor, Department of Microbiology, Sri Siddhartha Medical College , Tumkur, Karnataka, India .
J Clin Diagn Res. 2015 Oct;9(10):SC10-2. doi: 10.7860/JCDR/2015/14848.6677. Epub 2015 Oct 1.
A number of illness severity scores have evolved which would predict mortality and morbidity in intensive care units. One such scoring system developed by Richardson was SNAPPE-II (Score for Neonatal Acute Physiology with Perinatal extension-II).
The present study was conducted to assess the validity of SNAPPE-II score as a predictor of mortality and morbidity.
A total of 248 neonates who met the inclusion criteria were included in the study and SNAPPE-II score was calculated. Receiver Operating Characteristic (ROC) curve was constructed to derive the best cut-off score and SPSS package (Statistical Package for the Social Sciences) was used for statistical analysis.
SNAPPE-II score was higher among expired neonates compared to survived ones. A mean score of 37 was associated with higher mortality. However, it didn't accurately predict the length of stay.
SNAPPE II score is a better predictor of mortality irrespective of gestational ages and it is not a good predictor of morbidity.
已经出现了许多疾病严重程度评分系统,这些系统可以预测重症监护病房患者的死亡率和发病率。理查森开发的一种此类评分系统是SNAPPE-II(新生儿急性生理学伴围产期扩展-II评分)。
本研究旨在评估SNAPPE-II评分作为死亡率和发病率预测指标的有效性。
本研究共纳入248例符合纳入标准的新生儿,并计算其SNAPPE-II评分。构建受试者工作特征(ROC)曲线以得出最佳截断分数,并使用SPSS软件包(社会科学统计软件包)进行统计分析。
与存活新生儿相比,死亡新生儿的SNAPPE-II评分更高。平均分为37分与较高的死亡率相关。然而,它并不能准确预测住院时间。
无论胎龄如何,SNAPPE II评分都是更好的死亡率预测指标,但它不是发病率的良好预测指标。