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Interobserver Agreement for Classifying Infections in Emergency Department Patients Using Modified Centers for
Oren Turgman1, Evelien Reijnders1, Sebastiaan C M Joosten1
1Centre for Infection and Molecular Medicine, University of Amsterdam, Amsterdam Institute for Infection and Immunity, Amsterdam UMC, Amsterdam, The Netherlands.
A new framework for classifying infections and sepsis in emergency departments (EDs) showed high agreement between observers. This standardized approach, based on Centers for Disease Control (CDC) definitions, is reliable for research.
Area of Science:
- Emergency Medicine
- Infectious Diseases
- Clinical Epidemiology
Background:
- Standardized classification of infections and sepsis in emergency departments (EDs) is crucial for accurate diagnosis and treatment.
- Existing methods may lack reproducibility in heterogeneous ED populations.
Purpose of the Study:
- To develop and evaluate a standardized ED-adapted framework for reproducible infection and sepsis classification.
- The framework is based on Centers for Disease Control (CDC) surveillance definitions and a modified Sequential Organ Failure Assessment (SOFA) score.
Main Methods:
- A prospective cohort study (BIOSEP) enrolled adults with suspected infection and a Modified Early Warning Score ≥2 in 4 Dutch hospitals.
- Patients' electronic health records were retrospectively adjudicated by blinded physicians for infection plausibility, diagnosis, pathogen, and sepsis occurrence.
- Interobserver agreement was quantified using Cohen's kappa and Gwet's agreement coefficients.
Main Results:
- 1062 ED patients and 1145 infection episodes were analyzed.
- High interobserver agreement was found for infection diagnosis (κ=0.87), causative pathogens (κ=0.89), and sepsis occurrence (κ=0.80).
- Agreement for infection plausibility was also high (weighted κ=0.87).
Conclusions:
- The developed ED-adapted framework demonstrates high interobserver agreement for infection and sepsis classification.
- This standardized approach is suitable for large-scale observational research in diverse ED populations.
- The framework enhances the reliability of infection and sepsis classification in emergency care settings.
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