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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
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A Comparative Analysis of Sepsis Identification Methods in an Electronic Database
Alistair E W Johnson1,2, Jerome Aboab1,3,4, Jesse D Raffa1
1MIT Critical Data, Cambridge, MA.
Critical Care Medicine
|January 6, 2018
Summary
The Sepsis-3 criteria identified a larger, less severely ill sepsis cohort compared to older definitions. While offering advantages, retrospective application of Sepsis-3 criteria presents challenges for sepsis identification.
Area of Science:
- Critical Care Medicine
- Infectious Diseases
- Epidemiology
Background:
- Sepsis diagnosis relies on various criteria, impacting patient cohort identification and outcomes.
- Previous methods for sepsis identification may be influenced by coding practices and lack temporal context.
Purpose of the Study:
- To compare the relative validity of five sepsis identification criteria in an intensive care unit (ICU) database.
- To evaluate the Sepsis-3 criteria against other established sepsis definitions.
Main Methods:
- Retrospective cohort study of adult ICU admissions from 2008-2012 at a tertiary teaching hospital.
- Comparison of five sepsis identification algorithms, including Sepsis-3 criteria, using ICU data.
- Analysis of Sequential Organ Failure Assessment (SOFA) scores and infection suspicion for Sepsis-3 criteria fulfillment.
Main Results:
- Sepsis-3 criteria identified a larger cohort (49.1% of admissions) than administrative definitions.
- In-hospital mortality varied significantly across criteria, from 14.5% (Sepsis-3) to 30.1% (explicit codes).
- Agreement among the different sepsis identification criteria was acceptable (Cronbach's alpha, 0.40-0.62).
Conclusions:
- Sepsis-3 criteria identify a broader, less critically ill population than prior administrative definitions.
- Sepsis-3 criteria offer advantages in construct validity and reduced susceptibility to coding changes.
- Future sepsis research must acknowledge and contextualize findings based on the specific identification methods and resulting patient cohorts.
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