[1]徐东升,李惠萍,张小红,等.基于休克指数与改良早期预警评分预测急性胸痛患者急诊发生心肺衰竭的研究[J].军事护理,2023,40(01):53.[doi:10.3969/j.issn.2097-1826.2023.01.013]
　XU Dongsheng,LI Huiping,ZHANG Xiaohong,et al.A Study on Prediction Model of Cardiopulmonary Failure in Emergency Patients with Acute Chest Pain Based on Shock Index and Modified Early Warning Score[J].Nursing Journal Of Chinese People's Laberation Army,2023,40(01):53.[doi:10.3969/j.issn.2097-1826.2023.01.013]
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基于休克指数与改良早期预警评分预测急性胸痛患者急诊发生心肺衰竭的研究
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《军事护理》[ISSN:2097-1826/CN:31-3186/R]

卷:
40
期数:
2023年01期
页码:
53
栏目:
轨迹及建模研究专栏
出版日期:
2023-01-15

文章信息/Info

Title:
A Study on Prediction Model of Cardiopulmonary Failure in Emergency Patients with Acute Chest Pain Based on Shock Index and Modified Early Warning Score
文章编号:
2097-1826(2023)01-0053-05
作者:
徐东升1; 2; 李惠萍1; 张小红3; 张国文2
(1.安徽医科大学 护理学院,安徽 合肥 230032; 2.中国科学技术大学附属第一医院安徽省立医院 急救门诊,安徽 合肥 230001; 3.中国科学技术大学附属第一医院安徽省立医院 门诊部办公室)
Author(s):
XU Dongsheng1; 2; LI Huiping1; ZHANG Xiaohong3; ZHANG Guowen2
(1.School of Nursing,Anhui Medical University,Hefei 230032,Anhui Province,China; 2.Department of Emergency,The First Affiliated Hospital of USTC[Anhui Provincial Hospital],Hefei 230001,Anhui Province,China; 3.Department of Outpatients,The First Affiliated Hospital of USTC[Anhui Provincial Hospital])
关键词:
急性胸痛;  休克指数;  改良早期预警评分;  心肺衰竭;  风险预测模型
Keywords:
acute chest pain;  shock index;  modified early warning score;  cardiopulmonary failure;  risk prediction model
分类号:
R473.54
DOI:
10.3969/j.issn.2097-1826.2023.01.013
文献标志码:
A
摘要:
目的 探讨急性胸痛患者在急诊发生心肺衰竭的影响因素并构建风险预测模型。方法 回顾性调查于某三级甲等医院急诊科就诊的4598名急性胸痛患者,计算急诊预检分诊时的休克指数(shock index,SI)、修正休克指数(modified shock index,MSI)、体温调整休克指数(temperature-adjusted shock index,ASI(T))、年龄休克指数(age shock index,AgeSI)、舒张休克指数(diastolic shock index,DSI)、呼吸调整休克指数(respiratory-adjusted shock index,RASI)及改良早期预警评分(modified early warning score,MEWS)。根据是否发生心肺衰竭分组,以不同类型SI分别联合经皮血氧饱和度(percutaneous arterial oxygen saturation,SpO2)和MEWS构建预测模型并采用受试者工作特征曲线下面积(area under curve,AUC)评价其预测价值。结果 SI、MSI、ASI(T)、AgeSI、DSI、RASI和MEWS预测心肺衰竭的AUC为0.657、0.672、0.658、0.676、0.677、0.643、0.747; 不同类型SI联合SpO2、MEWS后预测心肺衰竭的AUC为0.838、0.843、0.837、0.837、0.845、0.829。结论 基于DSI、SpO2、MEWS构建的预测模型利于筛查急性胸痛患者中的心肺衰竭高危人群,对急性胸痛分诊、分级护理有一定指导价值。
Abstract:
Objective To explore the influencing factors of cardiopulmonary failure in emergency patients with acute chest pain and construct a risk prediction model.Methods A retrospective survey was conducted on 4598 patients with acute chest pain in the emergency department of a tertiary hospital,and the shock index(SI),modified shock index(MSI),temperature-adjusted shock index [ASI(T)],age shock index(AgeSI),diastolic shock index(DSI),respiratory-adjusted shock index(RASI)and modified early warning score(MEWS)were calculated during emergency pre-examination and triage.According to whether cardiopulmonary failure occurred or not,the predictive models were constructed by combining different types of SI with percutaneous oxygen saturation(SpO2)and MEWS,and their predictive value was evaluated by the area under the curve(AUC).Results The AUCs of SI,MSI,ASI(T),AgeSI,DSI,RASI and MEWS for predicting cardiopulmonary failure were 0.657,0.672,0.658,0.676,0.677,0.643,0.747,respectively.The AUCs of different types of SI combined with SpO2 and MEWS for predicting cardiopulmonary failure were 0.838,0.843,0.837,0.837,0.845 and 0.829,respectively.Conclusions The prediction model based on DSI,SpO2 and MEWS can help to screen the high-risk population of cardiopulmonary failure in patients with acute chest pain,and has certain guiding value for the triage and graded nursing of acute chest pain.

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备注/Memo

备注/Memo:
【 收稿日期 】 2022-03-15 【 修回日期 】 2022-10-15
【 基金项目 】 安徽省高等学校省级质量工程项目(2020jyxm2309)
【 作者简介 】 徐东升,硕士在读,护师,电话:0551-62283031
【 通信作者 】 李惠萍,电话:0551-63869168
更新日期/Last Update: 2023-01-15