Patterns of Hepatitis C-Related Inpatient Mortality in the United States in the Era of Direct-Acting Antivirals.

BACKGROUND & AIMS: Direct-acting antivirals (DAA) have revolutionized the management of hepatitis C virus (HCV) infection. Data on national inpatient mortality in this new era are scarce. This study aimed to evaluate inpatient mortality among HCV-related hospital stays in the United States (US) during the years DAA were available. METHODS: We conducted a cross-sectional analysis of the National Inpatient Sample (NIS) between 2012 and 2016. Using discharge weights, national estimates of HCV-related hospitalizations were calculated. Simple and multiple logistic regressions were performed to identify factors associated with inpatient mortality. RESULTS: A total of 67,630 hospitalizations from NIS were HCV-related, accounting for an estimated 338,150 hospitalizations during 2012 - 2016. These hospitalizations have estimated average annual total charges of $4.6 billion, adjusted to 2020 US dollars. The rate of inpatient mortality declined modestly from 5.25% in 2012 to 4.75% in 2016 (P=0.07). Over the 5-year study period, the proportion of in-hospital deaths increased for black patients, Medicaid beneficiaries, and patients with substance-related disorders. Controlling for known predictors, the odds of inpatient mortality were significantly greater among black patients compared to white patients (OR= 1.27 [95% CI=1.16 - 1.39]). CONCLUSIONS: The burden of HCV infection is substantial given the disease is now curable. Our findings indicate that major disparities in the HCV disease burden exist in the era of DAA.

Tree-based Claims Algorithm for Measuring Pretreatment Quality of Care in Medicare Disabled Hepatitis C Patients.

BACKGROUND: To help broaden the use of machine-learning approaches in health services research, we provide an easy-to-follow framework on the implementation of random forests and apply it to identify quality of care (QC) patterns correlated with treatment receipt among Medicare disabled patients with hepatitis C virus (HCV). METHODS: Using Medicare claims 2006-2009, we identified 1936 patients with 6 months continuous enrollment before HCV diagnosis. We ran a random forest on 14 pretreatment QC indicators, extracted the forest's representative tree, and aggregated its terminal nodes into 4 QC groups predictive of treatment. To explore determinants of differential QC receipt, we compared patient-level and county-level (linked AHRF data) characteristics across QC groups. RESULTS: The strongest predictors of treatment included "liver biopsy," "HCV genotype testing," "specialist visit," "HCV viremia confirmation," and "iron overload testing." High QC [n=360, proportion treated (pt)=33.3%] was defined for patients with at least 2 from the above-mentioned metrics. Good QC patients (n=302, pt=12.3%) had either "HCV genotype testing" or "specialist visit," whereas fair QC (n=282, pt=7.1%) only had "HCV viremia confirmation." Low QC patients (n=992, pt=2.5%) had none of the selected metrics. The algorithm accuracy of predicting treatment was 70% sensitivity and 78% specificity. HIV coinfection, drug abuse, and residence in counties with higher supply of hospitals with immunization and AIDS services correlated with lower QC. CONCLUSIONS: Machine-learning techniques could be useful in exploring patterns of care. Among Medicare disabled HCV patients, the receipt of more QC indicators was associated with higher treatment rates. Future research is needed to assess determinants of differential QC receipt.

Determinants of quality of care and treatment initiation in Medicare disabled patients with chronic hepatitis C.

BACKGROUND: Aligning with a national priority to bridge health disparities in disadvantaged populations, we explored contextual determinants of pretreatment quality of care and treatment receipt of Medicare disabled patients with hepatitis C virus (HCV) infection. METHODS: We used Medicare claims (2006-2009) linked to the Area Health Resource Files. Ordinal partial proportional odds and weighted modified Poisson regressions were used to model the determinants of quality care receipt and interferon-based treatment, respectively. RESULTS: We identified 1936 Medicare disabled HCV patients, of whom 10.4% were treated with peg-interferon. Despite the high comorbidity burden among HCV disabled patients, greater engagement in care correlated with greater likelihood of quality care and treatment receipt. CONCLUSION: Our study highlights the need for process and linkage to care in Medicare disabled HCV patients, but future research relevant to novel interferon-free agents is needed to assess patterns of quality of care and treatment receipt in this vulnerable population.

Contextual analysis of determinants of late diagnosis of hepatitis C virus infection in medicare patients.

UNLABELLED: Patient- and county-level characteristics associated with advanced liver disease (ALD) at hepatitis C virus (HCV) diagnosis were examined in three Medicare cohorts: (1) elderly born before 1945; (2) disabled born 1945-1965; and (3) disabled born after 1965. We used Medicare claims (2006-2009) linked to the Area Health Resource Files. ALD was measured over the period of 6 months before to 3 months after diagnosis. Using weighted multivariate modified Poisson regression to address generalizability of findings to all Medicare patients, we modeled the association between contextual characteristics and presence of ALD at HCV diagnosis. We identified 1,746, 3,351, and 592 patients with ALD prevalence of 28.0%, 23.0%, and 15.0% for birth cohorts 1, 2, and 3. Prevalence of drug abuse increased among younger birth cohorts (4.2%, 22.6%, and 35.6%, respectively). Human immunodeficiency virus coinfection (prevalence ratio [PR] = 0.63; 95% confidence interval [CI]: 0.50-0.80; P = 0.001), dual Medicare/Medicaid eligibility (PR = 0.89; 95% CI: 0.80-0.98; P = 0.017), residence in counties with higher median household income (PR = 0.82; 95% CI: 0.71-0.95; P = 0.008), higher density of primary care providers (PR = 0.84; 95% CI: 0.73-0.98; P = 0.022), and more rural health clinics (PR = 0.90; 0.81-1.01; P = 0.081) were associated with lower ALD risk. End-stage renal disease (PR = 1.41; 95% CI: 1.21-1.63; P = 0.001), alcohol abuse (PR = 2.57; 95% CI: 2.33-2.84; P = 0.001), hepatitis B virus (PR = 1.32; 95% CI: 1.09-1.59; P = 0.004), and Midwest residence (PR = 1.22; 95% CI: 1.05-1.41; P = 0.010) were associated with higher ALD risk. Living in rural counties with high screening capacity was protective in the elderly, but associated with higher ALD risk among the disabled born 1945-1965. CONCLUSIONS: ALD prevalence patterns were complex and were modified by race, elderly/disability status, and the extent of health care access and screening capacity in the county of residence. These study results help inform treatment strategies for HCV in the context of coordinated models of care.

Association between interferon use and reduced metabolic and vascular complications among patients with hepatitis C.

We examined whether interferon treatment is associated with reduced metabolic/vascular complications in hepatitis C virus patients. The study had historical prospective cohort design using Maryland Medicaid administrative data (2006-2009). The end point was the incidence rate of mild, severe and combined mild/severe events from the Diabetes Complications Severity Index (DCSI). Interferon-treated and -untreated hepatitis C virus patients were matched on baseline covariates. Using multivariate counting process Cox regressions, we modeled the association between interferon receipt of at least 24 weeks and DCSI events incidence rate. Treated whites had similar rate of mild DCSI events, significantly 64% (p < 0.01) lower rate of severe DCSI events, and overall 29% (p = 0.14) lower rate of mild/severe DCSI events, compared with untreated whites. Compared with untreated blacks, treated blacks had a similar rate of DSCI events. Future studies should confirm our findings and should include important clinical variables such as viral genotype, virologic count and achieving sustained virologic response.