Literature DB >> 33591014

Comparison of Sepsis Definitions as Automated Criteria.

Sean C Yu1, Kevin D Betthauser, Aditi Gupta, Patrick G Lyons, Albert M Lai, Marin H Kollef, Philip R O Payne, Andrew P Michelson.   

Abstract

OBJECTIVES: Assess the impact of heterogeneity among established sepsis criteria (Sepsis-1, Sepsis-3, Centers for Disease Control and Prevention Adult Sepsis Event, and Centers for Medicare and Medicaid severe sepsis core measure 1) through the comparison of corresponding sepsis cohorts.
DESIGN: Retrospective analysis of data extracted from electronic health record.
SETTING: Single, tertiary-care center in St. Louis, MO. PATIENTS: Adult, nonsurgical inpatients admitted between January 1, 2012, and January 6, 2018.
INTERVENTIONS: None.
MEASUREMENTS AND MAIN RESULTS: In the electronic health record data, 286,759 encounters met inclusion criteria across the study period. Application of established sepsis criteria yielded cohorts varying in prevalence: Centers for Disease Control and Prevention Adult Sepsis Event (4.4%), Centers for Medicare and Medicaid severe sepsis core measure 1 (4.8%), International Classification of Disease code (7.2%), Sepsis-3 (7.5%), and Sepsis-1 (11.3%). Between the two modern established criteria, Sepsis-3 (n = 21,550) and Centers for Disease Control and Prevention Adult Sepsis Event (n = 12,494), the size of the overlap was 7,763. The sepsis cohorts also varied in time from admission to sepsis onset (hr): Sepsis-1 (2.9), Sepsis-3 (4.1), Centers for Disease Control and Prevention Adult Sepsis Event (4.6), and Centers for Medicare and Medicaid severe sepsis core measure 1 (7.6); sepsis discharge International Classification of Disease code rate: Sepsis-1 (37.4%), Sepsis-3 (40.1%), Centers for Medicare and Medicaid severe sepsis core measure 1 (48.5%), and Centers for Disease Control and Prevention Adult Sepsis Event (54.5%); and inhospital mortality rate: Sepsis-1 (13.6%), Sepsis-3 (18.8%), International Classification of Disease code (20.4%), Centers for Medicare and Medicaid severe sepsis core measure 1 (22.5%), and Centers for Disease Control and Prevention Adult Sepsis Event (24.1%).
CONCLUSIONS: The application of commonly used sepsis definitions on a single population produced sepsis cohorts with low agreement, significantly different baseline demographics, and clinical outcomes.
Copyright © by 2021 by the Society of Critical Care Medicine and Wolters Kluwer Health, Inc. All Rights Reserved.

Entities:  

Year:  2021        PMID: 33591014     DOI: 10.1097/CCM.0000000000004875

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  5 in total

1.  Identification of Clinical Phenotypes in Septic Patients Presenting With Hypotension or Elevated Lactate.

Authors:  Zachary T Aldewereld; Li Ang Zhang; Alisa Urbano; Robert S Parker; David Swigon; Ipsita Banerjee; Hernando Gómez; Gilles Clermont
Journal:  Front Med (Lausanne)       Date:  2022-05-19

2.  Ground truth labels challenge the validity of sepsis consensus definitions in critical illness.

Authors:  Holger A Lindner; Shigehiko Schamoni; Thomas Kirschning; Corinna Worm; Bianka Hahn; Franz-Simon Centner; Jochen J Schoettler; Michael Hagmann; Jörg Krebs; Dennis Mangold; Stephanie Nitsch; Stefan Riezler; Manfred Thiel; Verena Schneider-Lindner
Journal:  J Transl Med       Date:  2022-01-15       Impact factor: 5.531

Review 3.  Timing of antibiotic therapy in the ICU.

Authors:  Marin H Kollef; Andrew F Shorr; Matteo Bassetti; Jean-Francois Timsit; Scott T Micek; Andrew P Michelson; Jose Garnacho-Montero
Journal:  Crit Care       Date:  2021-10-15       Impact factor: 9.097

4.  Sepsis prediction, early detection, and identification using clinical text for machine learning: a systematic review.

Authors:  Melissa Y Yan; Lise Tuset Gustad; Øystein Nytrø
Journal:  J Am Med Inform Assoc       Date:  2022-01-29       Impact factor: 4.497

5.  Sepsis Prediction for the General Ward Setting.

Authors:  Sean C Yu; Aditi Gupta; Kevin D Betthauser; Patrick G Lyons; Albert M Lai; Marin H Kollef; Philip R O Payne; Andrew P Michelson
Journal:  Front Digit Health       Date:  2022-03-08
  5 in total

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