Surveillance of chronic hepatitis C virus (HCV) cases faces limitations that result in delays and underreporting. With increasing use of electronic health records (EHRs), the authors evaluated the predictive value of using International Classification of Diseases, Ninth Revision (ICD-9) codes to identify chronic HCV cases from EHR data. Longitudinal EHR data from 4 health care systems during 2006-2012 were evaluated. Using chart abstraction and review to confirm chronic HCV cases ("gold standard" definition), the authors calculated the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of 2 case definitions: (1) >/=2 ICD-9 codes separated by >/= 6 months and (2) >/=1 positive HCV RNA (ribonucleic acid) test. Among 2,718,995 patients, 20,779 (0.8%) with ICD-9 codes indicating a likely diagnosis of chronic HCV infection were identified; 13,595 (65.4%) of these were randomly selected for review. Case definition 1 (>/= 2 ICD-9 codes separated by >/= 6 months) had 70.3% sensitivity, 91.9% PPV, 99.9% specificity, and 99.9% NPV while case definition 2 (>/= 1 positive HCV RNA test) had 74.1% sensitivity, 97.4% PPV, 99.9% specificity, and 99.9% NPV. The predictive values of these alternate EHR-derived ICD-9 code-based case definitions suggest that these measures may be useful in capturing the burden of diagnosed chronic HCV infections. Their use can augment current chronic HCV case surveillance efforts; however, their accuracy may vary by length of observation and completeness of EHR data.

BACKGROUND: Risk of hepatocellular carcinoma (HCC) may be difficult to determine in the clinical setting. AIM: Develop a scoring system to forecast HCC risk among patients with chronic hepatitis C. METHODS: Using data from the Chronic Hepatitis Cohort Study collected during 2005-2014, we derived HCC risk scores for males and females using an extended Cox model with aspartate aminotransferase-to-platelet ratio index (APRI) as a time-dependent variables and mean Kaplan-Meier survival functions from patient data at two study sites, and used data collected at two separate sites for external validation. For model calibration, we used the Greenwood-Nam-D'Agostino goodness-of-fit statistic to examine differences between predicted and observed risk. RESULTS: Of 12,469 patients (1628 with a history of sustained viral response [SVR]), 504 developed HCC; median follow-up was 6 years. Final predictors in the model included age, alcohol abuse, interferon-based treatment response, and APRI. Point values, ranging from -3 to 14 (males) and -3 to 12 (females), were established using hazard ratios of the predictors aligned with 1-, 3-, and 5-year Kaplan-Meier survival probabilities of HCC. Discriminatory capacity was high (c-index 0.82 males and 0.84 females) and external calibration demonstrated no differences between predicted and observed HCC risk for 1-, 3-, and 5-year forecasts among males (all p values >0.97) and for 3- and 5-year risk among females (all p values >0.87). CONCLUSION: This scoring system, based on age, alcohol abuse history, treatment response, and APRI, can be used to forecast up to a 5-year risk of HCC among hepatitis C patients before and after SVR.

BACKGROUND: Research suggests depression and alcohol misuse are highly prevalent among chronic hepatitis C (CHC) patients, which is of clinical concern. AIMS: To compare ICD-9 codes for depression and alcohol misuse to validated survey instruments. METHODS: Among CHC patients, we assessed how well electronic ICD-9 codes for depression and alcohol misuse predicted these disorders using validated instruments. RESULTS: Of 4874 patients surveyed, 56% were male and 52% had a history of injection drug use. Based on the PHQ-8, the prevalence of depression was 30% compared to 14% based on ICD-9 codes within 12 months of survey, 37% from ICD-9 codes any time before or within 12 months after survey, and 48% from ICD-9 codes any time before or within 24 months after survey. ICD-9 codes predicting PHQ-8 depression had a sensitivity ranging from 59 to 88% and a specificity ranging from 33 to 65%. Based on the AUDIT-C, the prevalence of alcohol misuse was 21% compared to 3-23% using ICD-9 codes. The sensitivity of ICD-9 codes to predict AUDIT-C score ranged from 9 to 35% and specificity from 80 to 98%. Overall 39% of patients reported ever binge drinking, with a sensitivity of ICD-9 to predict binge drinking ranging from 7 to 33% and a specificity from 84 to 98%. More than half of patients had either an ICD-9 code for depression, a survey score indicating depression, or both (59%); more than one-third had the same patterns for alcohol misuse (36%). CONCLUSIONS: ICD-9 codes were limited in predicting current depression and alcohol misuse, suggesting that caution should be exercised when using ICD-9 codes to assess depression or alcohol misuse among CHC patients.

BACKGROUND: Limited information exists regarding the distribution of disease phases, treatment prescription and severe liver disease among patients with chronic hepatitis B (CHB) in US general healthcare settings. AIM: To determine the distribution of disease phases, treatment prescription and severe liver disease among patients with CHB in general US healthcare settings. METHODS: We analysed demographic and clinical data collected during 2006-2013 from patients with confirmed CHB in the Chronic Hepatitis Cohort Study, an observational cohort study involving patients from healthcare organisations in Michigan, Pennsylvania, Oregon and Hawaii. CHB phases were classified according to American Association for the Study of Liver Disease guidelines. RESULTS: Of 1598 CHB patients with ≥12 months of follow-up (median 6.3 years), 457 (29%) were immune active during follow-up [11% hepatitis B e antigen (HBeAg)-positive, 16% HBeAg-negative, and 2% HBeAg status unknown], 10 (0.6%) were immune tolerant, 112 (7%) were inactive through the duration of follow-up and 886 (55%) were phase indeterminate. Patients with cirrhosis were identified within each group (among 21% of immune active, 3% of inactive and 9% of indeterminate phase patients) except among those with immune-tolerant CHB. Prescription of treatment was 59% among immune active patients and 84% among patients with cirrhosis and hepatitis B virus (HBV) DNA >2000 IU/mL. CONCLUSIONS: Approximately, one-third of the cohort had active disease during follow-up; 60% of eligible patients were prescribed treatment. Our findings underscore the importance of ascertainment of fibrosis status in addition to regular assessment of ALT and HBV DNA levels.

BACKGROUND: Linking persons with hepatitis C virus (HCV) to care and treatment is critical to reduction in disease burden; typically, this entailed referral to a specialist. However, data regarding the frequency and factors associated with referral among patients in healthcare organizations (HCOs) are lacking. METHODS: Among persons in four US HCOs with newly diagnosed HCV during 2006-2011, we determined the frequency of liver-related specialist care after diagnosis. We also identified sociodemographic and clinical characteristics associated with such care by multivariate analysis, adjusted for all variables. RESULTS: Among 3592 patients with newly diagnosed HCV, 57 % (range among sites 45-90 %) received specialist care; of these, 57 % received care within 90 days of diagnosis. Patient characteristics associated with receipt of specialist care included: affiliation with one of the study sites [adjusted odds ratio (aOR) 4.8 vs. the referent site); having Medicare plus private insurance (aOR 1.6 vs. Medicaid); and having elevated alanine aminotransferase (ALT) (aOR 1.6 vs. normal ALT) or lower platelet values (aOR 1.4 vs. normal platelet level). Specialist care within 90 days of diagnosis was associated with private insurance (aOR 1.5 vs. Medicaid), elevated ALT levels (aOR 1.3-2.3 vs. normal), and having ≥2 comorbid conditions (aOR 1.4 vs. no comorbid conditions). Compared to patients not referred, those referred were more likely to be treated (aOR 3.5). CONCLUSIONS: Receipt of specialist care among persons with newly diagnosed HCV varied among HCOs. Clinical evidence of liver disease and having private insurance were associated with prompt receipt of specialist care and HCV treatment.

Among 2,338 chronic hepatitis B patients followed during 2006-2013 in the Chronic Hepatitis Cohort Study, 78% had ≥1 alanine aminotransferase and 37% had ≥1 HBV DNA level assessed annually. Among cirrhotic patients, 46% never had hepatic imaging. Patients in this cohort were insufficiently monitored for disease activity and hepatocellular carcinoma.

BACKGROUND: Guidelines for the treatment of HCV-infected persons were updated in August 2015 with new recommendations for patients with renal impairment. Treatment is imperative for patients with severe, renal-associated extrahepatic manifestations of HCV infection. AIMS: We sought to describe the prevalence of these conditions among current HCV-infected patients in a population-based prospective, observational cohort study at four large US health systems. METHODS: Data from cohort patients with chronic HCV infection during 2012 were analyzed for the period from 2006 to 2013. We determined the prevalence of mild to moderately impaired renal function defined as having the most recent estimated glomerular filtration rate [eGFR] ≤ 80 ml/min/1.73 m2, with severe impairment defined as eGFR < 30 ml/min/1.73 m2, based on the treatment guidelines. Prevalence of extrahepatic conditions was ascertained using ICD9-codes. RESULTS: Among 5772 persons, the prevalence of eGFR ≤ 80 was 33 % and eGFR < 30 was 2 %, including among patients with hepatic fibrosis. Diagnosed extrahepatic renal manifestations were rare: vasculitis- 0.2 %, nephrotic syndrome- 0.3 %, and cryoglobulinemia- 0.9 %. CONCLUSIONS: While the prevalence of severe renal impairment and diagnosed extrahepatic manifestations was low, mild-to-moderate renal impairment was common in HCV patients, including those with advanced liver fibrosis for whom the need for treatment is urgent.

BACKGROUND: A key question in chronic hepatitis C (HCV) care is beginning treatment immediately versus delaying treatment. Risks of mortality and disease progression in "real-world" settings are important to assess the implications of delaying HCV treatment. METHODS: A cohort study in HCV patients identified from four integrated health systems in the United States who had liver biopsies during 2001-2012. The probabilities of death and progression to hepatocellular carcinoma, hepatic decompensation (hepatic encephalopathy, esophageal varices, ascites or portal hypertension) or liver transplant were estimated over 1, 2 or 5 years by fibrosis stage (Metavir F0-F4) determined by biopsy at beginning of observation. RESULTS: Among 2,799 HCV mono-infected patients who had a qualifying liver biopsy, the mean age at the time of biopsy was 50.7 years. The majority were male (58.9%) and non-Hispanic white (66.9%). Over a mean observation of 5.0 years, 261 (9.3%) patients died and 34 (1.2%) received liver transplants. At 5 years after biopsy, the estimated progression risks to hepatic decompensation or hepatocellular carcinoma was 37.2% in F4 patients, 19.6% in F3, 4.7% in F2, and 2.3% in F0/F1 patients. Baseline biopsy stage F3 or F4 and platelet count below normal were the strongest predictors of progression to hepatic decompensation or hepatocellular carcinoma. CONCLUSIONS: The risks of death and progression to liver failure varied greatly by fibrosis stage. Clinicians and policy makers could use these progression risk data in prioritization and in determining the timing of treatment for patients in early stages of liver disease.