Clinical application of modified early warning scores assessing the conditions and prognosis of pre-hospital acute poisoning
10.3760/cma.j.issn.1671-0282.2014.04.030
- VernacularTitle:改良早期预警评分在评估院前急性中毒患者病情及预后的应用研究
- Author:
Xiang HUANG
;
Hailin RUAN
;
Wei HUANG
;
Liang FANG
- Publication Type:Journal Article
- Keywords:
Modified early warning scores (MEWS);
Acute poisoning;
Pre-hospital emergency treatment;
Patients;
Assessment;
Death;
Predict;
Feasibility
- From:
Chinese Journal of Emergency Medicine
2014;23(4):470-473
- CountryChina
- Language:Chinese
-
Abstract:
Objective To study the significance and feasibility of modified early warning scores (MEWS) assessing the conditions and death prediction among the pre-hospital acute poisoning patients.Methods We performed a prospective,observational study of the pre-hospital acute poisoning patients between January 1,2010 and December 31,2010.Data was collected to calculate the MEWS.Numeration data was presented in percentage by using chi-square test,and measurement data was expressed in mean with standard deviation,and P ＜ 0.05 was considered to be different with statistical significance.Observation lasted for 90 days after admission to get the results as observation index and ROC was drew and the area under the curve and the predicting index were calculated.The patients without vital signs and unsuccessful resuscitation were not included in this study.Results It showed 287 person times with 0 ～ 6 scores,accounting 94.4％,17 person times with 7-13 scores,accounting 5.59％,among the dead patients,MEWS were more than those of the survival group with statistical significance (P ＜ 0.05).The area under ROC was 0.99 indicating that MEWS≥7 was the board line for severe pre-hospital acute poisoning patients with sensitivity of 91.7％,specificity of 97.9％,accuracy of 97.7％ and Youden of 0.896 for predicting death.It showed high significance of the application of MEWS in assessing acute poisoning patients and death prediction.Conclusions MEWS assess pre-hospital acute poisoning patients and predict death with good resolution and strong application significance,which is simple,practical and applicable.
