Literature DB >> 23934184

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

Felicitas Geier1, Steffen Popp, Yvonne Greve, Andreas Achterberg, Erika Glöckner, Renate Ziegler, Hans Jürgen Heppner, Harald Mang, Michael Christ.   

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.

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Year:  2013        PMID: 23934184     DOI: 10.1007/s00508-013-0407-2

Source DB:  PubMed          Journal:  Wien Klin Wochenschr        ISSN: 0043-5325            Impact factor:   1.704


  16 in total

1.  Validation of the Mortality in Emergency Department Sepsis (MEDS) score in patients with the systemic inflammatory response syndrome (SIRS).

Authors:  Jeffrey D Sankoff; Munish Goyal; David F Gaieski; Kenneth Deitch; Christopher B Davis; Allison L Sabel; Jason S Haukoos
Journal:  Crit Care Med       Date:  2008-02       Impact factor: 7.598

2.  Performance of severity of illness scoring systems in emergency department patients with infection.

Authors:  Michael D Howell; Michael W Donnino; Daniel Talmor; Peter Clardy; Long Ngo; Nathan I Shapiro
Journal:  Acad Emerg Med       Date:  2007-06-18       Impact factor: 3.451

3.  The Emergency Severity Index 5-level triage system.

Authors:  Rachel Shelton
Journal:  Dimens Crit Care Nurs       Date:  2009 Jan-Feb

4.  Mortality in Emergency Department Sepsis (MEDS) score: a prospectively derived and validated clinical prediction rule.

Authors:  Nathan I Shapiro; Richard E Wolfe; Richard B Moore; Eric Smith; Elizabeth Burdick; David W Bates
Journal:  Crit Care Med       Date:  2003-03       Impact factor: 7.598

5.  A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.

Authors:  M E Charlson; P Pompei; K L Ales; C R MacKenzie
Journal:  J Chronic Dis       Date:  1987

6.  Epidemiology of sepsis in Germany: results from a national prospective multicenter study.

Authors:  Christoph Engel; Frank M Brunkhorst; Hans-Georg Bone; Reinhard Brunkhorst; Herwig Gerlach; Stefan Grond; Matthias Gruendling; Guenter Huhle; Ulrich Jaschinski; Stefan John; Konstantin Mayer; Michael Oppert; Derk Olthoff; Michael Quintel; Max Ragaller; Rolf Rossaint; Frank Stuber; Norbert Weiler; Tobias Welte; Holger Bogatsch; Christiane Hartog; Markus Loeffler; Konrad Reinhart
Journal:  Intensive Care Med       Date:  2007-02-24       Impact factor: 17.440

7.  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.

Authors:  Maité Garrouste-Orgeas; Ariane Boumendil; Dominique Pateron; Philippe Aergerter; Dominique Somme; Tabassome Simon; Bertrand Guidet
Journal:  Crit Care Med       Date:  2009-11       Impact factor: 7.598

8.  Surviving Sepsis Campaign: international guidelines for management of severe sepsis and septic shock, 2012.

Authors:  R P Dellinger; Mitchell M Levy; Andrew Rhodes; Djillali Annane; Herwig Gerlach; Steven M Opal; Jonathan E Sevransky; Charles L Sprung; Ivor S Douglas; Roman Jaeschke; Tiffany M Osborn; Mark E Nunnally; Sean R Townsend; Konrad Reinhart; Ruth M Kleinpell; Derek C Angus; Clifford S Deutschman; Flavia R Machado; Gordon D Rubenfeld; Steven Webb; Richard J Beale; Jean-Louis Vincent; Rui Moreno
Journal:  Intensive Care Med       Date:  2013-01-30       Impact factor: 17.440

9.  Sepsis incidence and outcome: contrasting the intensive care unit with the hospital ward.

Authors:  Andrés Esteban; Fernando Frutos-Vivar; Niall D Ferguson; Oscar Peñuelas; José Angel Lorente; Federico Gordo; Teresa Honrubia; Alejandro Algora; Alejandra Bustos; Gema García; Inmaculada Rodríguez Diaz-Regañón; Rafael Ruiz de Luna
Journal:  Crit Care Med       Date:  2007-05       Impact factor: 7.598

10.  Assessment of disease-severity scoring systems for patients with sepsis in general internal medicine departments.

Authors:  Nesrin O Ghanem-Zoubi; Moshe Vardi; Arie Laor; Gabriel Weber; Haim Bitterman
Journal:  Crit Care       Date:  2011-03-14       Impact factor: 9.097

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1.  Prognostic value of CD4(+)CD25(+) Tregs as a valuable biomarker for patients with sepsis in ICU.

Authors:  Kun Chen; Qiu-Xiang Zhou; Hong-Wei Shan; Wen-Fang Li; Zhao-Fen Lin
Journal:  World J Emerg Med       Date:  2015

2.  Approach to an obstetric prognosis scale: The modified SOFA scale.

Authors:  Lourdes A Blanco Esquivel; Jorge Macia Urbina; Hugo Mendieta Zerón
Journal:  Ghana Med J       Date:  2016-09

3.  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.

Authors:  Su-Han Chang; Chiao-Hsuan Hsieh; Yi-Ming Weng; Ming-Shun Hsieh; Zhong Ning Leonard Goh; Hsien-Yi Chen; Tung Chang; Chip-Jin Ng; Joanna Chen-Yeen Seak; Chen-Ken Seak; Chen-June Seak
Journal:  Biomed Res Int       Date:  2018-09-19       Impact factor: 3.411

4.  PIRO, SOFA and MEDS Scores in Predicting One-Month Mortality of Sepsis Patients; a Diagnostic Accuracy Study.

Authors:  Ali Vafaei; Kamran Heydari; Seyed-Saeed Hashemi-Nazari; Neda Izadi; Hassan Hassan Zadeh
Journal:  Arch Acad Emerg Med       Date:  2019-10-20

5.  The use of early warning system scores in prehospital and emergency department settings to predict clinical deterioration: A systematic review and meta-analysis.

Authors:  Gigi Guan; Crystal Man Ying Lee; Stephen Begg; Angela Crombie; George Mnatzaganian
Journal:  PLoS One       Date:  2022-03-17       Impact factor: 3.240

6.  Early warning score: a dynamic marker of severity and prognosis in patients with Gram-negative bacteraemia and sepsis.

Authors:  Mahableshwar Albur; Fergus Hamilton; Alasdair P MacGowan
Journal:  Ann Clin Microbiol Antimicrob       Date:  2016-04-12       Impact factor: 3.944

7.  Cardiac Troponin Is a Predictor of Septic Shock Mortality in Cancer Patients in an Emergency Department: A Retrospective Cohort Study.

Authors:  Zhi Yang; Aiham Qdaisat; Zhihuang Hu; Elizabeth A Wagar; Cielito Reyes-Gibby; Qing H Meng; Sai-Ching J Yeung
Journal:  PLoS One       Date:  2016-04-14       Impact factor: 3.240

Review 8.  The effectiveness of physiologically based early warning or track and trigger systems after triage in adult patients presenting to emergency departments: a systematic review.

Authors:  Francesca Wuytack; Pauline Meskell; Aislinn Conway; Fiona McDaid; Nancy Santesso; Fergal G Hickey; Paddy Gillespie; Adam J N Raymakers; Valerie Smith; Declan Devane
Journal:  BMC Emerg Med       Date:  2017-12-06

9.  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.

Authors:  Young Suk Kwon; Moon Seong Baek
Journal:  J Clin Med       Date:  2020-03-23       Impact factor: 4.241

  9 in total

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