Derivation and Validation of a Clinical Decision Guideline for Influenza Testing in 4 US Emergency Departments

Author:

Dugas Andrea F1,Hsieh Yu-Hsiang1,LoVecchio Frank2,Moran Gregory J3,Steele Mark T4,Talan David A3,Rothman Richard E15,Stubbs Amy,Kemble Laurie,Beckham Danielle,Neal Niccole,Mulrow Mary,Krishnadasan Anusha,Pathmarajah Kavitha,Pathmarajah Kavitha,Torrez Raquel,Gonzalez Eva,Martin Gabina,Urzagaste Noemi Quinteros,Furoy Jacklyn,Hernandez Mayra,Collison Claire,Duval Anna,Beard Raphaelle,Avornu Ama,Medina Rebecca,McBryde Breana,

Affiliation:

1. Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland

2. Department of Emergency Medicine, University of Arizona College of Medicine, Phoenix

3. Department of Emergency Medicine, Department of Medicine, Division of Infectious Diseases, The David Geffen School of Medicine at University of California Los Angeles (UCLA), Olive View-UCLA Medical Center

4. Department of Emergency Medicine, University of Missouri-Kansas City School of Medicine/Truman Medical Center

5. Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, Maryland

Abstract

Abstract Background An accurate diagnosis of influenza is essential for appropriate antiviral treatment, in accordance with Centers for Disease Control and Prevention (CDC) guidelines. However, no clear guidance exists on which patients should be tested. We sought to develop a clinical decision guideline (CDG) to inform influenza testing decisions for those adult emergency department (ED) patients deemed appropriate for antiviral treatment by CDC guidelines. Methods A prospective cohort study was performed at 4 US EDs. From November 2013 to April 2014, we enrolled adult ED patients with fever or respiratory symptoms who met criteria for antiviral treatment, per 2013 CDC guidelines. All patients were tested for influenza using polymerase chain reaction. Data were randomly split into derivation (80%) and validation (20%) data sets. A discrete set of independent variables was selected by logistic regression, using the derivation set to create a scoring system, with a target sensitivity of at least 90%. The derived CDG was then validated. Results Of 1941 enrolled participants, 183 (9.4%) had influenza. The derived CDG included new or increased cough (2 points), headache (1 point), subjective fever (1 point), and triage temperature >100.4°C (1 point), with a score of ≥3 indicating influenza testing was warranted. The CDG had a sensitivity and specificity of 94.1% and 36.6%, respectively, in the derivation set and of 91.5% and 34.6%, respectively, in the validation set. Conclusions A CDG with high sensitivity was derived and validated. Incorporation into practice could standardize testing for high-risk patients in adult EDs during influenza seasons, potentially improving diagnoses and treatment. Clinical Trial Registration NCT01947049.

Funder

Johns Hopkins University

US Department of Health and Human Services Biomedical Advanced Research and Development Authority (BARDA; grant number

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Microbiology (medical)

Reference33 articles.

1. Using clinical research networks to assess severity of an emerging influenza pandemic;Simonsen;Clin Infect Dis,2018

2. Assessment of ESSENCE performance for influenza-like illness surveillance after an influenza outbreak--U.S. Air Force Academy, Colorado, 2009;Centers for Disease Control and Prevention.;MMWR Morb Mortal Wkly Rep,2011

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