Interobserver agreement for classifying infections in emergency department patients using modified Centers for Disease Control and Prevention criteria

Clicks: 7
ID: 322473
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #50 of 208 articles by views in Open forum infectious diseases

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 208 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Abstract Background To develop and evaluate a standardized emergency department (ED) adapted framework based on Centers for Disease Control (CDC) surveillance definitions and modified SOFA assessment for reproducible infection and sepsis classification in patients with suspected infection on the ED. Methods As part of the prospective cohort study BIOSEP, adults presenting to the ED with suspected infection and a Modified Early Warning Score ≥2 were consecutively enrolled between 2022-2026 at four Dutch hospitals. All enrolled patients in this study were retrospectively adjudicated through post hoc review of their electronic health records. Each case was independently assessed by two blinded physicians for plausibility of infection, infection diagnosis, causative pathogen, and sepsis occurrence. Disagreements were resolved by a third blinded reviewer. Interobserver agreement was quantified using Cohen’s kappa and Gwet’s agreement coefficients (gAC). Results In total, 1062 ED patients were included with 1145 infection episodes. Interobserver agreement for infection diagnosis was 88.9%, and agreement statistics were classified as very good with Cohen’s κ of 0.87 (95% CI 0.85–0.89) and a gAC1 of 0.89 (0.87–0.91). Agreement for causative pathogens was 90.1% (κ 0.89 [0.87–0.92]; gAC1 0.97 [0.95–0.98]), and for sepsis occurrence 93.4% (κ 0.80 [0.76–0.85]; gAC1 0.92 [0.90–0.94]). Agreement for plausibility of infection was also high (87.9%; weighted κ 0.87 [0.85–0.89]; gAC2 0.92 [0.90–0.93]). Conclusions Our ED-adapted adjudication framework based on CDC surveillance definitions yields high interobserver agreement for infection and sepsis classification across a heterogeneous ED population, supporting its use in large-scale observational research.
Reference Key
openalex_W7170899832 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Oren Turgman, Evelien Reijnders, Sebastiaan C M Joosten, Susanne E. Doeleman, Aryna Kolodyazhna, Floris M C de Vries, Renée A. Douma, Hazra S. Moeniralam, Hessel Peters‐Sengers, Stephanie Popping, Tom van der Poll, W Joost Wiersinga
Journal Open forum infectious diseases
Year 2026
DOI
10.1093/ofid/ofag466
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.