4.5 Article

Assessing the Use of International Classification of Diseases-10th Revision Codes From the Emergency Department for the Identification of Acute Heart Failure

期刊

JACC-HEART FAILURE
卷 3, 期 5, 页码 386-391

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ELSEVIER SCI LTD
DOI: 10.1016/j.jchf.2014.11.010

关键词

coding; emergency department; heart failure; ICD-10; validation

资金

  1. Canadian Institutes of Health Research
  2. Alberta Innovates-Health Solutions
  3. Tier I Canada Research Chair in Evidence-based Emergency Medicine for the Canadian Institutes of Health Research through the government of Canada (Ottawa, Ontario)
  4. University of Alberta/Capital Health Chair in Cardiovascular Outcomes Research

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OBJECTIVES The objective of this study was to compare administrative codes with chart review for patients with acute heart failure (AHF). BACKGROUND Administrative databases are used in population health research; however, the validity of codes in the emergency department (ED) for AHF compared with chart review is uncertain. METHODS A cohort of 952 patients with suspected AHF were prospectively recruited from 4 EDs in Edmonton, Alberta, Canada, from 2009 to 2012. Patients had their diagnoses adjudicated by expert physicians using a standardized scoring system and detailed chart review. ED and hospital discharge International Classification of Diseases-10th Revision (ICD-10) codes were captured in the main diagnosis or in any diagnostic field. RESULTS The 897 patients had a median age of 77 years (interquartile range: 67 to 85 years), and 806 (90%) were admitted to the hospital. Overall, 809 patients (90.2%) had AHF by adjudication and 660 (73.6%) had ICD-10 code I50. x as a main diagnosis in the ED administrative data, respectively. The positive predictive value of an AHF main diagnosis in the ED administrative data was 93.3% (95% confidence interval [CI]: 92.0% to 94.7%), with sensitivity of 76.1% (95% CI: 75.0% to 77.2%) and specificity of 50.0% (95% CI: 39.8% to 60.1%). The positive predictive value for AHF in any diagnostic field of the ED administrative data was 92.0% (95% CI: 91.1% to 93.0%), with a sensitivity of 89.4% (95% CI: 88.5% to 90.4%) and specificity of 28.4% (95% CI: 20.1% to 37.9%). CONCLUSIONS An ICD-10 I50. x diagnosis in the ED is highly predictive of AHF compared with chart-level adjudication using a validated score. Thus, the use of these codes in ED administrative databases could identify AHF for clinical and epidemiological studies. (C) 2015 by the American College of Cardiology Foundation.

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