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HEPATOLOGY, VOLUME 62, NUMBER 1 (SUPPL) AASLD ABSTRACTS 1085A<br />

Because AI/AN persons infected with HCV genotype 3 are at<br />

high risk for developing advanced fibrosis, ESLD, HCC, and<br />

LRD, they should be prioritized for earlier antiviral treatment.<br />

Disclosures:<br />

The following authors have nothing to disclose: Anne C. Moorman, Yueren Zhou,<br />

Loralee B. Rupp, Joseph A. Boscarino, Connie M. Trinacty, Scott D. Holmberg<br />

Disclosures:<br />

Lisa J. Townshend-Bulson - Grant/Research Support: Gilead<br />

James E. Gove - Grant/Research Support: Gilead Sciences<br />

Annette Hewitt - Grant/Research Support: gilead<br />

Julia N. Plotnik - Grant/Research Support: Gilead<br />

Chriss E. Homan - Grant/Research Support: Gilead<br />

Hannah G. Espera - Grant/Research Support: Gilead<br />

Youssef Barbour - Grant/Research Support: Gilead<br />

The following authors have nothing to disclose: Brian J. McMahon, Dana J.<br />

Bruden, Stephen Livingston, Susan Negus, Mary Snowball, Michael Bruce, Philip<br />

R. Spradling, Prabhu P. Gounder<br />

1799<br />

The Utility and Limitations of Electronic Medical Records:<br />

Predictive Values of ICD9 Codes indicating Chronic HCV<br />

Infection<br />

Anne C. Moorman 1 , Yueren Zhou 2 , Loralee B. Rupp 2 , Joseph A.<br />

Boscarino 3 , Connie M. Trinacty 4 , Scott D. Holmberg 1 ; 1 Division of<br />

Viral Hepatitis, C DC, Atlanta, GA; 2 Henry Ford Health Systems,<br />

Detroit, MI; 3 Geaisinger Health System, Danville, PA; 4 Kaiser Permanente-Hawaii,<br />

Honolulu, HI<br />

Objective. With increasing analysis of electronic medical<br />

records (EMR) in the United States, the predictive values of<br />

the International Classification of Diseases, 9th revision (ICD-<br />

9) coding system for chronic hepatitis C virus (HCV) infection<br />

warrant evaluation. Methods. Patients in the Chronic Hepatitis<br />

Cohort Study (CCHeCS) with chronic HCV infection, confirmed<br />

by laboratory data and abstractor review (a ‘gold standard’),<br />

were compared to “chronically infected cases” identified by<br />

electronic medical records (EMRs) ICD9 codes of adult patients<br />

who accessed services from 2006 to 2012 at four integrated<br />

healthcare systems in the United States. Results. Of over 1.6<br />

million adult patients at the 4 large medical systems in CHeCS,<br />

11,354 were confirmed as having chronic HCV infection.<br />

Having an EMR with one ICD-9 code for HCV yielded good<br />

sensitivity and positive predictive value (PPV) for true HCV<br />

infection, but poor specificity (Table), ie.e many (n=724) who<br />

were listed as having HCV infection but were not infected.<br />

Use of two hepatitis C-specific ICD-9 codes (6 or more months<br />

apart) improved the specificity with some loss of sensitivity,<br />

and the negative predictive value (NPV, non-cases accurately<br />

identified as non-cases) was poor (Table) . Because test codes<br />

were not standardized between laboratories, and viral load<br />

results were in text fields, distinguishing true from questionable<br />

or non-cases of HCV infection required extensive visual inspection<br />

and data processing. Discussion. EMRs, especially ICD9<br />

(or ICD10) codes, are increasingly used and analyzed in the<br />

United States, but these have imperfect sensitivity, specificity,<br />

and positive and negative predictive values for hepatitis C, and<br />

require considerable human review and judgment.<br />

1800<br />

Liver fibrosis stage and comorbidities in persons with<br />

diagnosed hepatitis C infection, Chronic Hepatitis Cohort<br />

Study (CHeCS)<br />

Fujie Xu 1 , Jian Xing 1 , Anne C. Moorman 1 , Stuart C. Gordon 2 ,<br />

Loralee B. Rupp 2 , Mei Lu 2 , Philip R. Spradling 1 , Eyasu H. Teshale 1 ,<br />

Joseph A. Boscarino 3 , Mark A. Schmidt 4 , Connie M. Trinacty 5 ,<br />

Scott D. Holmberg 1 ; 1 Division of Viral Hepatitis, Centers for Disease<br />

Control and Prevention, Atlanta, GA; 2 Henry Ford Health System,<br />

Detroit, MI; 3 Geisinger Health System, Danville, PA; 4 Kaiser<br />

Permanente- Northwest, Portland, OR; 5 Kaiser Permanente-Hawaii,<br />

Honolulu, HI<br />

Background and Aims: The Chronic Hepatitis Cohort Study<br />

(CHeCS), a dynamic, prospective, observational cohort study,<br />

was created to study the natural history of chronic viral hepatitis<br />

in the United States. This report described HCV cohort patients’<br />

demographic and clinical characteristics, comorbidities, treatment<br />

and treatment outcomes of cohort patients at the end of<br />

2012. Methods: CHeCS patients were drawn from about 2.7<br />

million persons aged 18 years or older who had a clinical service<br />

visit from January 2006-December 2012 at 4 integrated<br />

healthcare systems in Detroit, Michigan; Danville, Pennsylvania;<br />

Portland, Oregon; and Honolulu, Hawaii. We analyzed<br />

clinical data obtained from electronic medical records and<br />

manual chart review for HCV-infected patients who were alive<br />

but never had a liver transplant as of December 2012, including<br />

patients who achieved SVR with altered natural history.<br />

Patient’s current fibrosis stage was based on latest FIB4 scores<br />

derived from blood tests or biopsy results, if available. Laboratory<br />

tests and ICD-9 codes were used to identify patients with<br />

co-infections and comorbidities. Results: Of 15,940 total HCV<br />

cohort patients 2006-12, 11,294 were alive of Dec 2012;<br />

among these patients mean age at the end of observation was<br />

54 years; 58% were male, 55% white and 22% black. Only<br />

1,355 (9%) of the cohort had achieved SVR, which occurred<br />

a median of 4.8 years previously. Of 9,975 patients without<br />

SVR, 2,553 (25.6%) had ever been treated during a median<br />

followup of 5.3 years. Viral load data was available for 7,189<br />

patients; of these, 14% had 6 million IU/ml or higher (most<br />

recent test among those untreated and the latest before initial<br />

treatment among those treated). Impaired kidney function with<br />

eGFR

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