Literature DB >> 28268067

Application of the Third International Consensus Definitions for Sepsis (Sepsis-3) Classification: a retrospective population-based cohort study.

John P Donnelly1, Monika M Safford2, Nathan I Shapiro3, John W Baddley4, Henry E Wang5.   

Abstract

BACKGROUND: The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3) present clinical criteria for the classification of patients with sepsis. We investigated incidence and long-term outcomes of patients diagnosed with these classifications, which are currently unknown.
METHODS: We did a retrospective analysis using data from 30 239 participants from the USA who were aged at least 45 years and enrolled in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) cohort. Patients were enrolled between Jan 25, 2003, and Oct 30, 2007, and we identified hospital admissions from Feb 5, 2003, to Dec 31, 2012, and applied three classifications: infection and systemic inflammatory response syndrome (SIRS) criteria, elevated sepsis-related organ failure assessment (SOFA) score from Sepsis-3, and elevated quick SOFA (qSOFA) score from Sepsis-3. We estimated incidence during the study period, in-hospital mortality, and 1-year mortality.
FINDINGS: Of 2593 first infection events, 1526 met SIRS criteria, 1080 met SOFA criteria, and 378 met qSOFA criteria. Incidence was 8·2 events (95% CI 7·8-8·7) per 1000 person-years for SIRS, 5·8 events (5·4-6·1) per 1000 person-years for SOFA, and 2·0 events (1·8-2·2) per 1000 person-years for qSOFA. In-hospital mortality was higher for patients with an elevated qSOFA score (67 [23%] of 295 patients died) than for those with an elevated SOFA score (125 [13%] of 960 patients died) or who met SIRS criteria (128 [9%] of 1392 patients died). Mortality at 1 year after discharge was also highest for patients with an elevated qSOFA score (29·4 deaths [95% CI 22·3-38·7] per 100 person-years) compared with those with an elevated SOFA score (22·6 deaths [19·2-26·6] per 100 person-years) or those who met SIRS criteria (14·7 deaths [12·5-17·2] per 100 person-years).
INTERPRETATION: SIRS, SOFA, and qSOFA classifications identified different incidences and mortality. Our findings support the use of the SOFA and qSOFA classifications to identify patients with infection who are at elevated risk of poor outcomes. These classifications could be used in future epidemiological assessments and studies of patients with infection. FUNDING: National Institute for Nursing Research, National Center for Research Resources, and National Institute of Neurological Disorders and Stroke.
Copyright © 2017 Elsevier Ltd. All rights reserved.

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Year:  2017        PMID: 28268067      PMCID: PMC5449202          DOI: 10.1016/S1473-3099(17)30117-2

Source DB:  PubMed          Journal:  Lancet Infect Dis        ISSN: 1473-3099            Impact factor:   25.071


  30 in total

Review 1.  A Framework for the Development and Interpretation of Different Sepsis Definitions and Clinical Criteria.

Authors:  Derek C Angus; Christopher W Seymour; Craig M Coopersmith; Clifford S Deutschman; Michael Klompas; Mitchell M Levy; Gregory S Martin; Tiffany M Osborn; Chanu Rhee; R Scott Watson
Journal:  Crit Care Med       Date:  2016-03       Impact factor: 7.598

2.  Benchmarking the incidence and mortality of severe sepsis in the United States.

Authors:  David F Gaieski; J Matthew Edwards; Michael J Kallan; Brendan G Carr
Journal:  Crit Care Med       Date:  2013-05       Impact factor: 7.598

3.  The reasons for geographic and racial differences in stroke study: objectives and design.

Authors:  Virginia J Howard; Mary Cushman; Leavonne Pulley; Camilo R Gomez; Rodney C Go; Ronald J Prineas; Andra Graham; Claudia S Moy; George Howard
Journal:  Neuroepidemiology       Date:  2005-06-29       Impact factor: 3.282

4.  Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers.

Authors:  Michael J Pencina; Ralph B D'Agostino; Ewout W Steyerberg
Journal:  Stat Med       Date:  2010-11-05       Impact factor: 2.373

5.  Sepsis Clinical Criteria in Emergency Department Patients Admitted to an Intensive Care Unit: An External Validation Study of Quick Sequential Organ Failure Assessment.

Authors:  Michael D April; Jose Aguirre; Lloyd I Tannenbaum; Tyler Moore; Alexander Pingree; Robert E Thaxton; Daniel J Sessions; James H Lantry
Journal:  J Emerg Med       Date:  2016-11-04       Impact factor: 1.484

6.  A review of goodness of fit statistics for use in the development of logistic regression models.

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Journal:  Am J Epidemiol       Date:  1982-01       Impact factor: 4.897

7.  A unified inference procedure for a class of measures to assess improvement in risk prediction systems with survival data.

Authors:  Hajime Uno; Lu Tian; Tianxi Cai; Isaac S Kohane; L J Wei
Journal:  Stat Med       Date:  2012-10-05       Impact factor: 2.373

8.  Severe sepsis cohorts derived from claims-based strategies appear to be biased toward a more severely ill patient population.

Authors:  Stacey-Ann Whittaker; Mark E Mikkelsen; David F Gaieski; Sherine Koshy; Craig Kean; Barry D Fuchs
Journal:  Crit Care Med       Date:  2013-04       Impact factor: 7.598

9.  Identifying patients with severe sepsis using administrative claims: patient-level validation of the angus implementation of the international consensus conference definition of severe sepsis.

Authors:  Theodore J Iwashyna; Andrew Odden; Jeffrey Rohde; Catherine Bonham; Latoya Kuhn; Preeti Malani; Lena Chen; Scott Flanders
Journal:  Med Care       Date:  2014-06       Impact factor: 2.983

10.  Surviving Sepsis Campaign guidelines for management of severe sepsis and septic shock.

Authors:  R Phillip Dellinger; Jean M Carlet; Henry Masur; Herwig Gerlach; Thierry Calandra; Jonathan Cohen; Juan Gea-Banacloche; Didier Keh; John C Marshall; Margaret M Parker; Graham Ramsay; Janice L Zimmerman; Jean-Louis Vincent; M M Levy
Journal:  Intensive Care Med       Date:  2004-03-03       Impact factor: 17.440

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  42 in total

1.  [Intensive care studies from 2017/2018].

Authors:  C J Reuß; M Bernhard; C Beynon; A Hecker; C Jungk; C Nusshag; M A Weigand; D Michalski; T Brenner
Journal:  Anaesthesist       Date:  2018-09       Impact factor: 1.041

2.  qSOFA score not predictive of in-hospital mortality in emergency patients with decompensated liver cirrhosis.

Authors:  M Müller; J C Schefold; A B Leichtle; D Srivastava; G Lindner; A K Exadaktylos; C A Pfortmueller
Journal:  Med Klin Intensivmed Notfmed       Date:  2018-08-21       Impact factor: 0.840

3.  Implementation of the Sepsis-3 definition in German university intensive care units : A survey.

Authors:  U Keppler; T Schmoch; B H Siegler; M A Weigand; F Uhle
Journal:  Anaesthesist       Date:  2018-06-26       Impact factor: 1.041

Review 4.  [Evidence-based interdisciplinary treatment of abdominal sepsis].

Authors:  T Schmoch; M Al-Saeedi; A Hecker; D C Richter; T Brenner; T Hackert; M A Weigand
Journal:  Chirurg       Date:  2019-05       Impact factor: 0.955

5.  Clinical management of sepsis can be improved by artificial intelligence: yes.

Authors:  Matthieu Komorowski
Journal:  Intensive Care Med       Date:  2019-12-13       Impact factor: 17.440

6.  Time to Recognition of Sepsis in the Emergency Department Using Electronic Health Record Data: A Comparative Analysis of Systemic Inflammatory Response Syndrome, Sequential Organ Failure Assessment, and Quick Sequential Organ Failure Assessment.

Authors:  Priya A Prasad; Margaret C Fang; Yumiko Abe-Jones; Carolyn S Calfee; Michael A Matthay; Kirsten N Kangelaris
Journal:  Crit Care Med       Date:  2020-02       Impact factor: 7.598

7.  ED Door-to-Antibiotic Time and Long-term Mortality in Sepsis.

Authors:  Ithan D Peltan; Samuel M Brown; Joseph R Bledsoe; Jeffrey Sorensen; Matthew H Samore; Todd L Allen; Catherine L Hough
Journal:  Chest       Date:  2019-02-16       Impact factor: 9.410

8.  Revised National Estimates of Emergency Department Visits for Sepsis in the United States.

Authors:  Henry E Wang; Allison R Jones; John P Donnelly
Journal:  Crit Care Med       Date:  2017-09       Impact factor: 7.598

9.  Incidence and outcomes of sepsis after cardiac surgery as defined by the Sepsis-3 guidelines.

Authors:  S H Howitt; M Herring; I Malagon; C N McCollum; S W Grant
Journal:  Br J Anaesth       Date:  2017-11-24       Impact factor: 9.166

10.  A novel id-iri score: development and internal validation of the multivariable community acquired sepsis clinical risk prediction model.

Authors:  Husrev Diktas; Serhat Uysal; Hakan Erdem; Yasemin Cag; Egidia Miftode; Gul Durmus; Ayşegul Ulu-Kilic; Selma Alabay; Balint Gergely Szabo; Botond Lakatos; Ricardo Fernandez; Pinar Korkmaz; Michael Cruz Caliz; Xavier Argemi; Sholpan Kulzhanova; Fatime Kormaz; Fatma Yilmaz-Karadag; Pinar Ergen; Aynur Atilla; Edmond Puca; Mustafa Dogan; Francesca Mangani; Suzan Sahin; Svjetlana Grgić; Krsto Grozdanovski; Gul Ruhsar Yilmaz; Rosa Fontana Del-Vecchio; Aslihan Demirel; Fatma Sirmatel; Alper Şener; Suzan Sacar; Emsal Aydin; Ayşe Batirel; Gorana Dragovac; Rehab El-Sokkary; Crişan Alexandru; Selcan Arslan-Ozel; Sibel Bolukcu; H Deniz Ozkaya; Saygin Nayman-Alpat; Asuman Inan; Fahad Al-Majid; Berna Kaya-Ugur; Jordi Rello
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2019-12-10       Impact factor: 3.267

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