International Classification of Diseases (ICD) Codes Fail to Accurately Identify Injection Drug Use Associated Endocarditis Cases. Issue 1 (11th January 2022)

• Record Type: Journal Article
• Authors: Barnes, Erin; Peacock, James; Bachmann, Laura
• Is Part Of: Journal of addiction medicine. Volume 16:Issue 1(2022)
• Page Start: 27
• Page End: 32
• Publication Date: 2022-01-11
• Subjects: endocarditis -- epidemiology -- injection drug use -- opioid epidemic -- validation; Substance abuse -- Periodicals; Substance abuse -- Treatment -- Periodicals; Substance-Related Disorders -- Periodicals; 616.86005
• DOI: 10.1097/ADM.0000000000000814
• Languages: English
• ISSNs: 1932-0620

Abstract

Abstract : Supplemental Digital Content is available in the text Abstract : Objectives: Infective endocarditis (IE) secondary to injection drug use (IDU-IE) is a disease with high morbidity, cost, and rapid demographic evolution. Studies frequently utilize combinations of International Statistical Classification of Diseases (ICD) codes to identify IDU-IE cases in electronic medical records. This is a validation of this identification strategy in a US cohort. Methods: Records from January 1, 2004 to September 31, 2015 for those aged ≥18yo with any ICD-coded IE encounter (inpatient or outpatient) were retrieved from the electronic medical record and then manually reviewed and classified as IDU-IE by strict and inclusive criteria. This registry was then used to assess the diagnostic accuracy of 10 identification algorithms that combined substance use, hepatitis C, and IE ICD codes. Results: IE was present in 629 of the 2055 manually reviewed records; 109 reported IDU within 3 months of IE diagnosis and an additional 32 during their lifetime (141 cases). In contrast, no algorithm identified more than 46 (33%) of these cases. Algorithms assessing encounters with both an IE and substance use code had specificities >99% but sensitivities ≤11% with negative predictive values of 83% to 84% and positive predictive values ranging from 75% to 91%. Use of a hepatitis C OR substance use code with an IE-coded encounter resulted in higher sensitivities of 22% to 32% but more false positives and overall positive predictive value of <70%. This algorithm limited to age ≤45yo had the best, but still low, discrimination ability with an area under the receiver operating characteristic curve of 0.62. Conclusion: Substance use and hepatitis C codes have poor ability to accurately classify an IE-coded encounter as IDU-IE or routine IE.