急诊危重度指数与早期预警评分系统的判别模型研究
发布时间：2019-04-01 13:41
【摘要】：目的通过分析急诊危重度指数与早期预警评分间的关系,以期为分诊护士提供简便、高效、可量化的急诊分级评估工具。方法选择浙江省某三级甲等医院2014年1月1日~12月31日期间急诊管理系统记录的预检信息和医嘱信息,进行急诊危重度指数(Emergency Severity Index,ESI)分级,随机抽取ESI每一级别病例各200例,共1000例,对照改良早期预警评分(Modified Early Warning Score,MEWS)、标准早期预警评分(Standardized Early Warning Score,SEWS)、国家早期预警评分(National Early Warning Score,NEWS)进行评分并记录。依据Fisher判别原理,分析3种早期预警评分值与ESI之间的关系,建立判别模型,采用回代法和交叉核实法估计误判率。结果 MEWS联合Sp O2预测ESI分级的误判率为29.3%,优于MEWS(34.4%)、SEWS(47.5%)、NEWS(42.0%);MEWS联合Sp O2对急危重患者(Ⅰ~Ⅱ级)判别准确性达93%。结论 MEWS联合Sp O2可作为急诊分诊分级的最优化辅助评估工具。
[Abstract]:Objective to analyze the relationship between emergency severity index and early warning score in order to provide a simple, efficient and quantifiable emergency grading evaluation tool for divided nurses. Methods from January 1 to December 31, 2014, the pre-examination information and doctor's order information recorded by the emergency management system of a Grade 3A hospital in Zhejiang Province were selected, and the emergency severity index (Emergency Severity Index,ESI) was graded. 1000 cases were randomly selected from each grade of ESI. The improved early warning score (Modified Early Warning Score,MEWS), the Standard early warning score (Standardized Early Warning Score,SEWS) and the National early warning score (National Early Warning Score,) were compared with the modified early warning score (Modified Early Warning Score,MEWS), the Standard early warning score (Standardized Early Warning Score,SEWS). NEWS) was scored and recorded. According to the Fisher discriminant principle, the relationship between the three early warning scores and ESI is analyzed, and the discriminant model is established. The error rate is estimated by the back-generation method and the cross-validation method. Results the misjudgment rate of MEWS combined with Sp O 2 in predicting ESI grade was 29.3%, which was better than that of MEWS (34.4%), SEWS (47.5%), NEWS (42.0%); MEWS combined with Sp O 2) in discriminating accuracy of 93% for acute and critical patients (grade 鈪，
本文编号：2451599
[Abstract]:Objective to analyze the relationship between emergency severity index and early warning score in order to provide a simple, efficient and quantifiable emergency grading evaluation tool for divided nurses. Methods from January 1 to December 31, 2014, the pre-examination information and doctor's order information recorded by the emergency management system of a Grade 3A hospital in Zhejiang Province were selected, and the emergency severity index (Emergency Severity Index,ESI) was graded. 1000 cases were randomly selected from each grade of ESI. The improved early warning score (Modified Early Warning Score,MEWS), the Standard early warning score (Standardized Early Warning Score,SEWS) and the National early warning score (National Early Warning Score,) were compared with the modified early warning score (Modified Early Warning Score,MEWS), the Standard early warning score (Standardized Early Warning Score,SEWS). NEWS) was scored and recorded. According to the Fisher discriminant principle, the relationship between the three early warning scores and ESI is analyzed, and the discriminant model is established. The error rate is estimated by the back-generation method and the cross-validation method. Results the misjudgment rate of MEWS combined with Sp O 2 in predicting ESI grade was 29.3%, which was better than that of MEWS (34.4%), SEWS (47.5%), NEWS (42.0%); MEWS combined with Sp O 2) in discriminating accuracy of 93% for acute and critical patients (grade 鈪，
本文编号：2451599
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