• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

用于在急诊科就诊的疑似脓毒症患者中早期识别和预测院内死亡率的严重疾病评分系统。

Severity illness scoring systems for early identification and prediction of in-hospital mortality in patients with suspected sepsis presenting to the emergency department.

机构信息

Department of Emergency and Critical Care Medicine, City Hospital Nuremberg, Prof. Ernst Nathan Str. 1, 90419, Nuremberg, GermanyGermany.

出版信息

Wien Klin Wochenschr. 2013 Sep;125(17-18):508-15. doi: 10.1007/s00508-013-0407-2. Epub 2013 Aug 10.

DOI:10.1007/s00508-013-0407-2
PMID:23934184
Abstract

The in-hospital mortality of patients with severe sepsis and septic shock (SSSS) is high. In this study we examined the diagnostic and prognostic accuracy of the emergency severity index (ESI), the modified early warning score (MEWS), and the mortality in emergency department (ED) sepsis (MEDS) score. This is a single-centre, prospective and observational study of 151 consecutive patients presenting to the ED of the Nuremberg Hospital with suspected sepsis (age 68.3 ± 18 years, 54.3 % men, 45 % with SSSS, in-hospital mortality of SSSS: 27.8 %). In this study, 37.7 % of the studied patients had a urinary tract infection (n = 57/151), 33.8 % a pneumonia (n = 51/151), 8.6 % an acute abdominal infection (n = 13/151), and in 12.6 % the focus of infection was not further specified or identifiable (n = 19/151). The diagnostic and prognostic accuracy was analyzed by means of the receiver operating characteristic (ROC) curve. The areas under curve (AUC) in terms of diagnostic accuracy were 0.609, 0.641, and 0.778 for the ESI, MEWS, and MEDS score respectively. The AUCs concerning prognostic accuracy were 0.617, 0.642, and 0.871 for ESI, MEWS, and MEDS score respectively.By using the MEDS score systematically, critically ill patients with sepsis could be detected in the ED. Finally, the MEDS score provides the basis for a risk adjusted disposition management that follows objective criteria.

摘要

严重脓毒症和脓毒性休克(SSSS)患者的院内死亡率很高。在这项研究中,我们检查了紧急严重指数(ESI)、改良早期预警评分(MEWS)和急诊科脓毒症(MEDS)评分的诊断和预后准确性。这是一项单中心、前瞻性和观察性研究,纳入了 151 例连续就诊于纽伦堡医院急诊科疑似脓毒症的患者(年龄 68.3 ± 18 岁,54.3%为男性,45%为 SSSS,SSSS 的院内死亡率为 27.8%)。在这项研究中,37.7%的研究患者患有尿路感染(n=57/151),33.8%患有肺炎(n=51/151),8.6%患有急性腹部感染(n=13/151),12.6%的感染灶未进一步明确或可识别(n=19/151)。通过接受者操作特征(ROC)曲线分析诊断和预后准确性。ESI、MEWS 和 MEDS 评分的诊断准确性的曲线下面积(AUC)分别为 0.609、0.641 和 0.778。ESI、MEWS 和 MEDS 评分的预后准确性的 AUC 分别为 0.617、0.642 和 0.871。通过系统地使用 MEDS 评分,我们可以在急诊科检测到患有脓毒症的危重症患者。最后,MEDS 评分提供了基于客观标准的风险调整处置管理的基础。

相似文献

1
Severity illness scoring systems for early identification and prediction of in-hospital mortality in patients with suspected sepsis presenting to the emergency department.用于在急诊科就诊的疑似脓毒症患者中早期识别和预测院内死亡率的严重疾病评分系统。
Wien Klin Wochenschr. 2013 Sep;125(17-18):508-15. doi: 10.1007/s00508-013-0407-2. Epub 2013 Aug 10.
2
Predictive accuracy and feasibility of risk stratification scores for 28-day mortality of patients with sepsis in an emergency department.急诊科脓毒症患者28天死亡率风险分层评分的预测准确性及可行性
Eur J Emerg Med. 2015 Oct;22(5):331-7. doi: 10.1097/MEJ.0000000000000185.
3
An observational cohort study of the performance of the REDS score compared to the SIRS criteria, NEWS2, CURB65, SOFA, MEDS and PIRO scores to risk-stratify emergency department suspected sepsis.一项观察性队列研究比较了 REDS 评分与 SIRS 标准、NEWS2、CURB65、SOFA、MEDS 和 PIRO 评分在风险分层急诊疑似脓毒症方面的性能。
Ann Med. 2021 Dec;53(1):1863-1874. doi: 10.1080/07853890.2021.1992495.
4
Comparison of PIRO, SOFA, and MEDS scores for predicting mortality in emergency department patients with severe sepsis and septic shock.比较PIRO、序贯器官衰竭评估(SOFA)和急诊医学严重程度评分(MEDS)对急诊科严重脓毒症和脓毒性休克患者死亡率的预测价值。
Acad Emerg Med. 2014 Nov;21(11):1257-63. doi: 10.1111/acem.12515.
5
Evaluation of the modified MEDS, MEWS score and Charlson comorbidity index in patients with community acquired sepsis in the emergency department.评价改良的 MEDS、MEWS 评分和 Charlson 合并症指数在急诊科社区获得性脓毒症患者中的应用。
Intern Emerg Med. 2013 Apr;8(3):255-60. doi: 10.1007/s11739-012-0890-x. Epub 2012 Dec 19.
6
A novel heart rate variability based risk prediction model for septic patients presenting to the emergency department.一种针对急诊科脓毒症患者的基于心率变异性的新型风险预测模型。
Medicine (Baltimore). 2018 Jun;97(23):e10866. doi: 10.1097/MD.0000000000010866.
7
Validation of the mortality in emergency department sepsis (MEDS) score in a Singaporean cohort.新加坡队列中急诊科脓毒症(MEDS)评分的死亡率验证
Medicine (Baltimore). 2019 Aug;98(34):e16962. doi: 10.1097/MD.0000000000016962.
8
The most commonly used disease severity scores are inappropriate for risk stratification of older emergency department sepsis patients: an observational multi-centre study.最常用的疾病严重程度评分不适用于老年急诊科脓毒症患者的风险分层:一项观察性多中心研究。
Scand J Trauma Resusc Emerg Med. 2017 Sep 11;25(1):91. doi: 10.1186/s13049-017-0436-3.
9
Comparison of the Mortality in Emergency Department Sepsis Score, Modified Early Warning Score, Rapid Emergency Medicine Score and Rapid Acute Physiology Score for predicting the outcomes of adult splenic abscess patients in the emergency department.比较急诊科脓毒症评分、改良早期预警评分、快速急诊医学评分和快速急性生理学评分对预测成人脾脓肿患者在急诊科治疗结局的死亡率。
PLoS One. 2017 Nov 1;12(11):e0187495. doi: 10.1371/journal.pone.0187495. eCollection 2017.
10
Performance Assessment of the Mortality in Emergency Department Sepsis Score, Modified Early Warning Score, Rapid Emergency Medicine Score, and Rapid Acute Physiology Score in Predicting Survival Outcomes of Adult Renal Abscess Patients in the Emergency Department.在急诊科预测成人肾脓肿患者生存结局方面,对死亡率在急诊科脓毒症评分、改良早期预警评分、快速急诊医学评分和快速急性生理学评分的评估。
Biomed Res Int. 2018 Sep 19;2018:6983568. doi: 10.1155/2018/6983568. eCollection 2018.

引用本文的文献

1
Machine learning models for predicting in-hospital mortality in patient with sepsis: Analysis of vital sign dynamics.用于预测脓毒症患者院内死亡率的机器学习模型:生命体征动态分析
Front Med (Lausanne). 2022 Oct 20;9:964667. doi: 10.3389/fmed.2022.964667. eCollection 2022.
2
The use of early warning system scores in prehospital and emergency department settings to predict clinical deterioration: A systematic review and meta-analysis.预警系统评分在院前和急诊科环境中预测临床恶化的应用:系统评价和荟萃分析。
PLoS One. 2022 Mar 17;17(3):e0265559. doi: 10.1371/journal.pone.0265559. eCollection 2022.
3
Internal validation and comparison of the prognostic performance of models based on six emergency scoring systems to predict in-hospital mortality in the emergency department.

本文引用的文献

1
Surviving Sepsis Campaign: international guidelines for management of severe sepsis and septic shock, 2012.拯救脓毒症运动:严重脓毒症和脓毒性休克管理国际指南,2012 年。
Intensive Care Med. 2013 Feb;39(2):165-228. doi: 10.1007/s00134-012-2769-8. Epub 2013 Jan 30.
2
Assessment of disease-severity scoring systems for patients with sepsis in general internal medicine departments.评估普通内科病房脓毒症患者的疾病严重程度评分系统。
Crit Care. 2011;15(2):R95. doi: 10.1186/cc10102. Epub 2011 Mar 14.
3
Modern triage in the emergency department.
基于 6 种急诊评分系统的模型对急诊科住院病死率预测的预后性能的内部验证和比较。
BMC Emerg Med. 2021 Jun 10;21(1):68. doi: 10.1186/s12873-021-00459-7.
4
Predicting 30-day mortality using point-of-care testing; an external validation and derivation study.利用即时检测预测 30 天死亡率:一项外部验证和推导研究。
PLoS One. 2020 Sep 24;15(9):e0239318. doi: 10.1371/journal.pone.0239318. eCollection 2020.
5
Development and Validation of a Quick Sepsis-Related Organ Failure Assessment-Based Machine-Learning Model for Mortality Prediction in Patients with Suspected Infection in the Emergency Department.基于快速脓毒症相关器官功能衰竭评估的机器学习模型在急诊科疑似感染患者死亡率预测中的开发与验证
J Clin Med. 2020 Mar 23;9(3):875. doi: 10.3390/jcm9030875.
6
The Association Between Patient Outcomes and the Initial Emergency Severity Index Triage Score in Patients With Suspected Acute Coronary Syndrome.疑似急性冠状动脉综合征患者的初始急诊严重指数分诊评分与患者结局之间的关系。
J Cardiovasc Nurs. 2020 Nov/Dec;35(6):550-557. doi: 10.1097/JCN.0000000000000644.
7
PIRO, SOFA and MEDS Scores in Predicting One-Month Mortality of Sepsis Patients; a Diagnostic Accuracy Study.序贯器官衰竭评估(PIRO)、序贯器官衰竭评分(SOFA)及多器官功能障碍评分(MEDS)在预测脓毒症患者1个月死亡率中的应用;一项诊断准确性研究
Arch Acad Emerg Med. 2019 Oct 20;7(1):e59. eCollection 2019.
8
Performance Assessment of the Mortality in Emergency Department Sepsis Score, Modified Early Warning Score, Rapid Emergency Medicine Score, and Rapid Acute Physiology Score in Predicting Survival Outcomes of Adult Renal Abscess Patients in the Emergency Department.在急诊科预测成人肾脓肿患者生存结局方面,对死亡率在急诊科脓毒症评分、改良早期预警评分、快速急诊医学评分和快速急性生理学评分的评估。
Biomed Res Int. 2018 Sep 19;2018:6983568. doi: 10.1155/2018/6983568. eCollection 2018.
9
The effectiveness of physiologically based early warning or track and trigger systems after triage in adult patients presenting to emergency departments: a systematic review.成人患者在急诊科分诊后基于生理指标的早期预警或追踪与触发系统的有效性:一项系统评价
BMC Emerg Med. 2017 Dec 6;17(1):38. doi: 10.1186/s12873-017-0148-z.
10
Approach to an obstetric prognosis scale: The modified SOFA scale.产科预后评估量表的方法:改良SOFA量表。
Ghana Med J. 2016 Sep;50(3):129-135.
现代急诊科分诊。
Dtsch Arztebl Int. 2010 Dec;107(50):892-8. doi: 10.3238/arztebl.2010.0892. Epub 2010 Dec 17.
4
Selection of intensive care unit admission criteria for patients aged 80 years and over and compliance of emergency and intensive care unit physicians with the selected criteria: An observational, multicenter, prospective study.80岁及以上患者重症监护病房入院标准的选择以及急诊科和重症监护病房医生对所选标准的依从性:一项观察性、多中心、前瞻性研究。
Crit Care Med. 2009 Nov;37(11):2919-28. doi: 10.1097/ccm.0b013e3181b019f0.
5
The Emergency Severity Index 5-level triage system.急诊严重程度指数5级分诊系统。
Dimens Crit Care Nurs. 2009 Jan-Feb;28(1):9-12. doi: 10.1097/01.DCC.0000325106.28851.89.
6
Revision of the Canadian Emergency Department Information System (CEDIS) Presenting Complaint List version 1.1.加拿大急诊科信息系统(CEDIS)主诉列表版本1.1的修订。
CJEM. 2008 Mar;10(2):151-73. doi: 10.1017/s1481803500009878.
7
Validation of the Mortality in Emergency Department Sepsis (MEDS) score in patients with the systemic inflammatory response syndrome (SIRS).全身炎症反应综合征(SIRS)患者的急诊科脓毒症死亡率(MEDS)评分的验证
Crit Care Med. 2008 Feb;36(2):421-6. doi: 10.1097/01.CCM.0B013E3181611F6A0.
8
Performance of severity of illness scoring systems in emergency department patients with infection.急诊科感染患者病情严重程度评分系统的性能
Acad Emerg Med. 2007 Aug;14(8):709-14. doi: 10.1197/j.aem.2007.02.036. Epub 2007 Jun 18.
9
Sepsis incidence and outcome: contrasting the intensive care unit with the hospital ward.脓毒症的发病率及转归:重症监护病房与普通病房的对比
Crit Care Med. 2007 May;35(5):1284-9. doi: 10.1097/01.CCM.0000260960.94300.DE.
10
Epidemiology of sepsis in Germany: results from a national prospective multicenter study.德国脓毒症流行病学:一项全国性前瞻性多中心研究的结果
Intensive Care Med. 2007 Apr;33(4):606-18. doi: 10.1007/s00134-006-0517-7. Epub 2007 Feb 24.