• Resuscitation · Apr 2018

    Observational Study

    Validation of an ICD code for accurately identifying emergency department patients who suffer an out-of-hospital cardiac arrest.

    • Shelby K Shelton, Steve B Chukwulebe, David F Gaieski, Benjamin S Abella, Brendan G Carr, and Sarah M Perman.
    • University of Colorado School of Medicine, Department of Emergency Medicine. Aurora, CO, United States.
    • Resuscitation. 2018 Apr 1; 125: 8-11.

    AimInternational classification of disease (ICD-9) code 427.5 (cardiac arrest) is utilized to identify cohorts of patients who suffer out-of-hospital cardiac arrest (OHCA), though the use of ICD codes for this purpose has never been formally validated. We sought to validate the utility of ICD-9 code 427.5 by identifying patients admitted from the emergency department (ED) after OHCA.MethodsAdult visits to a single ED between January 2007 and July 2012 were retrospectively examined and a keyword search of the electronic medical record (EMR) was used to identify patients. Cardiac arrest was confirmed; and ICD-9 information and location of return of spontaneous circulation (ROSC) were collected. Separately, the EMR was searched for patients who received ICD-9 code 427.5. The kappa coefficient (κ) was calculated, as was the sensitivity and specificity of the code for identifying OHCA.ResultsThe keyword search identified 1717 patients, of which 385 suffered OHCA and 333 were assigned the code 427.5. The agreement between ICD-9 code and cardiac arrest was excellent (κ = 0.895). The ICD-9 code 427.5 was both specific (99.4%) and sensitive (86.5%). Of the 52 cardiac arrests that were not identified by ICD-9 code, 33% had ROSC before arrival to the ED. When searching independently on ICD-9 code, 347 patients with ICD-9 code 427.5 were found, of which 320 were "true" arrests. This yielded a positive predictive value of 92% for ICD-9 code 427.5 in predicting OHCA.ConclusionsICD-9 code 427.5 is sensitive and specific for identifying ED patients who suffer OHCA with a positive predictive value of 92%.Copyright © 2018 Elsevier B.V. All rights reserved.

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