【摘要】：目的通過分析急診危重度指數(shù)與早期預警評分間的關系,以期為分診護士提供簡便、高效、可量化的急診分級評估工具。方法選擇浙江省某三級甲等醫(yī)院2014年1月1日~12月31日期間急診管理系統(tǒng)記錄的預檢信息和醫(yī)囑信息,進行急診危重度指數(shù)(Emergency Severity Index,ESI)分級,隨機抽取ESI每一級別病例各200例,共1000例,對照改良早期預警評分(Modified Early Warning Score,MEWS)、標準早期預警評分(Standardized Early Warning Score,SEWS)、國家早期預警評分(National Early Warning Score,NEWS)進行評分并記錄。依據(jù)Fisher判別原理,分析3種早期預警評分值與ESI之間的關系,建立判別模型,采用回代法和交叉核實法估計誤判率。結果 MEWS聯(lián)合Sp O2預測ESI分級的誤判率為29.3%,優(yōu)于MEWS(34.4%)、SEWS(47.5%)、NEWS(42.0%);MEWS聯(lián)合Sp O2對急危重患者(Ⅰ~Ⅱ級)判別準確性達93%。結論 MEWS聯(lián)合Sp O2可作為急診分診分級的最優(yōu)化輔助評估工具。
[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，

本文編號：2451599