Literature DB >> 17576773

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

Michael D Howell1, Michael W Donnino, Daniel Talmor, Peter Clardy, Long Ngo, Nathan I Shapiro.   

Abstract

OBJECTIVES: To validate the Mortality in Emergency Department Sepsis (MEDS) score, the Confusion, Urea nitrogen, Respiratory rate, Blood pressure, 65 years of age and older (CURB-65) score, and a modified Rapid Emergency Medicine Score (mREMS) in patients with suspected infection.
METHODS: This was a prospective cohort study. Adult patients with clinically suspected infection admitted from December 10, 2003, to September 30, 2004, in an urban emergency department with approximately 50,000 annual visits were eligible. The MEDS and CURB-65 scores were calculated as originally described, but REMS was modified in neurologic scoring because a full Glasgow Coma Scale score was not uniformly available. Discrimination of each score was assessed with the area under the receiver operating characteristics curve (AUC).
RESULTS: Of 2,132 patients, 3.9% (95% confidence interval [CI] = 3.1% to 4.7%) died. Mortality stratified by the MEDS score was as follows: 0-4 points, 0.4% (95% CI = 0.0 to 0.7%); 5-7 points, 3.3% (95% CI = 1.7% to 4.9%); 8-12 points, 6.6% (95% CI = 4.4% to 8.8%); and > or = 13 points, 31.6% (95% CI = 22.4% to 40.8%). Mortality stratified by CURB-65 was as follows: 0 points, 0% (0 of 457 patients); 1 point, 1.6% (95% CI = 0.6% to 2.6%); 2 points, 4.1% (95% CI = 2.3% to 6.0%); 3 points, 4.9% (95% CI = 2.8% to 6.9%); 4 points, 18.1% (95% CI = 11.9% to 24.3%); and 5 points, 28.0% (95% CI = 10.4% to 45.6%). Mortality stratified by the mREMS was as follows: 0-2 points, 0.6% (95% CI = 0 to 1.2%); 3-5 points, 2.0% (95% CI = 0.8% to 3.1%); 6-8 points, 2.3% (95% CI = 1.1% to 3.5%); 9-11 points, 7.1% (95% CI = 4.2% to 10.1%); 12-14 points, 20.0% (95% CI = 12.5% to 27.5%); and > or = 15 points, 40.0% (95% CI = 22.5% to 57.5%). The AUCs were 0.85, 0.80, and 0.79 for MEDS, mREMS, and CURB-65, respectively.
CONCLUSIONS: In this large cohort of patients with clinically suspected infection, MEDS, mREMS, and CURB-65 all correlated well with 28-day in-hospital mortality.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17576773     DOI: 10.1197/j.aem.2007.02.036

Source DB:  PubMed          Journal:  Acad Emerg Med        ISSN: 1069-6563            Impact factor:   3.451


  36 in total

1.  A Framework to Tackle Risk Identification and Presentation Challenges in Sepsis.

Authors:  Muge Capan; Danielle Mosby; Kristen Miller; Jun Tao; Pan Wu; William Weintraub; Rebecca Kowalski; Ryan Arnold
Journal:  Am J Hosp Med       Date:  2018-02-16

2.  Primary outcomes for resuscitation science studies: a consensus statement from the American Heart Association.

Authors:  Lance B Becker; Tom P Aufderheide; Romergryko G Geocadin; Clifton W Callaway; Ronald M Lazar; Michael W Donnino; Vinay M Nadkarni; Benjamin S Abella; Christophe Adrie; Robert A Berg; Raina M Merchant; Robert E O'Connor; David O Meltzer; Margo B Holm; William T Longstreth; Henry R Halperin
Journal:  Circulation       Date:  2011-10-03       Impact factor: 29.690

3.  Outcome prediction using clinical scores and biomarkers in patients with presumed severe infection in the emergency department.

Authors:  J Wilhelm; S Hettwer; D Hammer; M Schürmann; A Christoph; M Amoury; T Klöss; R Finke; H Ebelt; K Werdan
Journal:  Med Klin Intensivmed Notfmed       Date:  2012-08-10       Impact factor: 0.840

4.  The impact of prior long-term versus short-term statin use on the mortality of bacteraemic patients.

Authors:  W Nseir; J Mograbi; J Khateeb; O Abu-Elheja; J Bishara; B Jihad; N Assy
Journal:  Infection       Date:  2011-09-06       Impact factor: 3.553

5.  Evaluation of the modified MEDS, MEWS score and Charlson comorbidity index in patients with community acquired sepsis in the emergency department.

Authors:  Ergün Çıldır; Mehtap Bulut; Halis Akalın; Egemen Kocabaş; Gökhan Ocakoğlu; Şule Akköse Aydın
Journal:  Intern Emerg Med       Date:  2012-12-19       Impact factor: 3.397

6.  Comparison of severity of illness scoring systems in the prediction of hospital mortality in severe sepsis and septic shock.

Authors:  Colleen A Crowe; Erik B Kulstad; Chintan D Mistry; Christine E Kulstad
Journal:  J Emerg Trauma Shock       Date:  2010-10

Review 7.  [Specific aspects in septic patients: initial phase in the emergency department, age, sex and post-ICU-care].

Authors:  U Müller-Werdan; J Wilhelm; S Hettwer; S Nuding; H Ebelt; K Werdan
Journal:  Internist (Berl)       Date:  2009-07       Impact factor: 0.743

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

Authors:  Felicitas Geier; Steffen Popp; Yvonne Greve; Andreas Achterberg; Erika Glöckner; Renate Ziegler; Hans Jürgen Heppner; Harald Mang; Michael Christ
Journal:  Wien Klin Wochenschr       Date:  2013-08-10       Impact factor: 1.704

9.  Prediction of In-hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data-Driven, Machine Learning Approach.

Authors:  R Andrew Taylor; Joseph R Pare; Arjun K Venkatesh; Hani Mowafi; Edward R Melnick; William Fleischman; M Kennedy Hall
Journal:  Acad Emerg Med       Date:  2016-02-13       Impact factor: 3.451

10.  A prospective registry of emergency department patients admitted with infection.

Authors:  Julian M Williams; Jaimi H Greenslade; Juliet V McKenzie; Kevin H Chu; Anthony F T Brown; David Paterson; Jeffrey Lipman
Journal:  BMC Infect Dis       Date:  2011-01-26       Impact factor: 3.090

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.