Literature DB >> 18323748

Mortality predictions using current physiologic scoring systems in patients meeting criteria for early goal-directed therapy and the severe sepsis resuscitation bundle.

H Bryant Nguyen1, Jim E Banta, Thomas W Cho, Chad Van Ginkel, Kristy Burroughs, William A Wittlake, Stephen W Corbett.   

Abstract

Physiologic scoring systems are often used to prognosticate mortality in critically ill patients. This study examined the performance of Acute Physiology and Chronic Health Evaluation (APACHE) II, Simplified Acute Physiology Score (SAPS) II, Mortality in Emergency Department Sepsis (MEDS), and Mortality Probability Models (MPM) II0 in predicting in-hospital mortality of patients in the emergency department meeting criteria for early goal-directed therapy and the severe sepsis resuscitation bundle. The discrimination and calibration characteristics of APACHE II, SAPS II, MEDS, and MPM II0 were evaluated. Data are presented as median and quartiles (25th, 75th). Two-hundred forty-six patients aged 68 (52, 81) years were analyzed from a prospectively maintained sepsis registry, with 76.0% of patients in septic shock, 45.5% blood culture positive, and 35.0% in-hospital mortality. Acute Physiology and Chronic Health Evaluation II, SAPS II, and MEDS scores were 29 (21, 37), 54 (40, 70), and 13 (11, 16), with predicted mortalities of 64% (40%, 85%), 58% (25%, 84%), and 16% (9%, 39%), respectively. Mortality Probability Models II0 showed a predicted mortality of 60% (27%, 80%). The area under the receiver operating characteristic curves was 0.73 for APACHE II, 0.71 for SAPS II, 0.60 for MEDS, and 0.72 for MPM II0. The standardized mortality ratios were 0.59, 0.63, 1.68, and 0.64, respectively. Thus, APACHE II, SAPS II, MEDS, and MPM II0 have variable abilities to discriminate early and estimate in-hospital mortality of patients presenting to the emergency department requiring the severe sepsis resuscitation bundle. Adoption of these prognostication tools in this setting may influence therapy and resource use for these patients.

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Year:  2008        PMID: 18323748     DOI: 10.1097/SHK.0b013e3181673826

Source DB:  PubMed          Journal:  Shock        ISSN: 1073-2322            Impact factor:   3.454


  17 in total

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Authors:  J Wilhelm; S Hettwer; D Hammer; M Schürmann; A Christoph; M Amoury; T Klöss; R Finke; H Ebelt; K Werdan
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2.  EMS patients and walk-in patients presenting with severe sepsis: differences in management and outcome.

Authors:  Jon Femling; Steven Weiss; Eric Hauswald; David Tarby
Journal:  South Med J       Date:  2014-12       Impact factor: 0.954

3.  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
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4.  Prognostic value of the International Society on Thrombosis and Haemostasis scoring system for overt disseminated intravascular coagulation in emergency department sepsis.

Authors:  Q Yin; B Liu; Y Chen; Y Zhao; C Li
Journal:  Infection       Date:  2014-02-21       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

7.  The Sequential Organ Failure Assessment score for predicting outcome in patients with severe sepsis and evidence of hypoperfusion at the time of emergency department presentation.

Authors:  Alan E Jones; Stephen Trzeciak; Jeffrey A Kline
Journal:  Crit Care Med       Date:  2009-05       Impact factor: 7.598

8.  Major blunt trauma evokes selective upregulation of oxidative enzymes in circulating leukocytes.

Authors:  Heather M Brandfellner; Shivani B Ruparel; Jonathan A Gelfond; Kenneth M Hargreaves
Journal:  Shock       Date:  2013-09       Impact factor: 3.454

9.  Expected and observed mortality in critically ill patients receiving initial antibiotic therapy.

Authors:  Thorsten Janisch; Johannes Wendt; Rainer Hoffmann; Jan R Ortlepp
Journal:  Wien Klin Wochenschr       Date:  2012-11-08       Impact factor: 1.704

10.  Delta Shock Index During Emergency Department Stay Is Associated With in Hospital Mortality in Critically Ill Patients.

Authors:  Yi-Syun Huang; I-Min Chiu; Ming-Ta Tsai; Chun-Fu Lin; Chien-Fu Lin
Journal:  Front Med (Lausanne)       Date:  2021-04-22
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