Hepatitis C Direct Acting Antiviral Therapies in a New York City HIV/AIDS Special Needs Plan: Uptake and Barriers

HCV Screening and Treatment Uptake Among Patients in HIV Care During 2014-2015

BACKGROUND

Despite the high prevalence of hepatitis C virus (HCV) among persons living with HIV (PWH), the prevalence of HCV screening, treatment, and sustained virologic response (SVR) is unknown. This study aims to characterize the continuum of HCV screening and treatment among PWH in HIV care.

SETTING

Adult patients enrolled at 12 sites of the HIV Research Network located in 3 regions of the United States were included.

METHODS

We examined the prevalence of HCV screening, HCV coinfection, direct-acting antiretroviral (DAA) treatment, and SVR-12 between 2014 and 2015. Multivariate logistic regression was performed to identify characteristics associated with outcomes, adjusted for site.

RESULTS

Among 29,071 PWH (age 18-87, 74.8% male, 44.4% black), 77.9% were screened for HCV antibodies; 94.6% of those screened had a confirmatory HCV RNA viral load test. Among those tested, 61.1% were determined to have chronic HCV. We estimate that only 23.4% of those eligible for DAA were prescribed DAA, and only 17.8% of those eligible evidenced initiating DAA treatment. Those who initiated treatment achieved SVR-12 at a rate of 95.2%. Blacks and people who inject drugs (PWID) were more likely to be screened for HCV than whites or those with heterosexual risk. Persons older than 40 years, whites, Hispanics, and PWID [adjusted odds ratio (AOR) 8.70 (7.74 to 9.78)] were more likely to be coinfected than their counterparts. When examining treatment with DAA, persons older than 50 years, on antiretroviral therapy [AOR 2.27 (1.11 to 4.64)], with HIV-1 RNA <400 [AOR 2.67 (1.71 to 4.18)], and those with higher Fib-4 scores were more likely to be treated with DAA.

CONCLUSIONS

Although rates of screening for HCV among PWH are high, screening remains far from comprehensive. Rates of SVR were high, consistent with previously published literature. Additional programs to improve screening and make treatment more widely available will help reduce the impact of HCV morbidity among PWH.

Uptake of and Factors Associated With Direct-acting Antiviral Therapy Among Patients in the Chronic Hepatitis Cohort Study, 2014 to 2015

BACKGROUND

Limited information is available describing the uptake of direct-acting antiviral (DAA) therapy for hepatitis C virus (HCV) infection among patients in general US health care settings. We determined the proportion of HCV-infected patients in the Chronic Hepatitis Cohort Study prescribed DAAs in 2014, who initiated treatment and identified characteristics associated with treatment initiation.

METHODS

Uptake was defined as the proportion of HCV-infected patients with at least 1 clinical encounter in 2013 who were prescribed a DAA regimen during 2014 and initiated the regimen by August 2015. Using multivariable analysis, we examined demographic and clinical characteristics associated with receipt of DAAs.

RESULTS

The cohort comprised 9508 patients; 544 (5.7%) started a DAA regimen. Higher annual income [adjusted odds ratios (aOR) 2.3 for income>$50K vs. <$30K], higher Fibrosis-4 score (aORs, 2.1, 2.0, and 1.4 for Fibrosis-4, >5.88, 3.25 to 5.88, 2.0 to 3.25, respectively, vs. <2.0), genotype 2 infection (aOR 2.2 vs. genotype 1), pre-2014 treatment failure (aOR 2.0 vs. treatment-naive), and human immunodeficiency virus (HIV) coinfection (aOR 1.8 vs. HCV monoinfection) were associated with DAA initiation. Black race/ethnicity (aOR 0.7 vs. whites) and Medicaid coverage (aOR 0.5 vs. private insurance) were associated with noninitiation. Sex, age, comorbidity, previous liver transplant, and duration of follow-up were not associated with receipt of DAAs.

CONCLUSIONS

Among patients in these general US health care settings, uptake of DAA therapy was low in 2014, and especially so among minority and Medicaid patients. Systemic efforts to improve access to DAAs for all patients are essential to reduce morbidity and mortality from HCV infection.

The Syndemic of Opioid Misuse, Overdose, HCV, and HIV: Structural-Level Causes and Interventions

PURPOSE OF REVIEW

This article reviews the case for recognizing (1) the epidemics of opioid misuse, overdose, hepatitis C virus, and HIV as a syndemic and (2) the importance of examining and addressing structural factors in responses to this syndemic. We focus on the current syndemic in the US, but also consider data from other locations to highlight the issues existing and arising in various contexts.

RECENT FINDINGS

Advances in multi-level theory and statistical methods allow sound ecologic and multi-level analyses of the impact of structural factors on the syndemic. Studies of opioid misuse, overdoses, hepatitis C virus, and HIV demonstrate that area-level access to healthcare, medication-assisted treatment of opioid use disorders, sterile injection equipment, and overdose prevention with naloxone, as well as factors such as opioid marketing, income inequality, intensity of policing activities, and health care policies, are related to the prevalence of substance misuse, overdoses, infection risk, and morbidity. Structural variables can predict area-level vulnerability to the syndemic. The implementation of combined prevention and treatment interventions can control and reverse components of the syndemic. Recognizing and monitoring potent structural factors can facilitate the identification of areas at risk of vulnerability to the syndemic. Further, many structural factors are modifiable through intervention and policy to reduce structural vulnerability and create health-enabling environments. Evidence supports the immediate implementation of broader HCV and HIV testing and substance use screening, medication-assisted treatment, needle/syringe exchange programs, naloxone programs, increased population-level implementation of HCV treatment, and further attention to structural-level factors predicting, and contributing to, area-level vulnerability, such as degrees of opioid marketing, distribution, and prescribing.

Conceptualizing Care Continua: Lessons from HIV, Hepatitis C Virus, Tuberculosis and Implications for the Development of Improved Care and Prevention Continua

Background

To examine the application of continuum models to tuberculosis, HIV, and other conditions; to theorize the concept of continua; and to learn lessons that could inform the development of improved care and prevention continua as public health metrics.

Methods

An analytic review of literature drawn from several fields of health care.

Results

The continuum construct is now part of public health evaluation systems for HIV, and is increasingly used in public health and the medical literature. Issues with the comparability and optimal design of care continuum models have been raised, and their methodologic and theoretic underpinnings and scope of focus have been under-addressed. Review of relevant publications suggests that a key limitation of current models is their lack of measures reflecting incidence and mortality. Issues relating to continua data being longitudinal or cross-sectional, definition of numerators and denominators for each step, data sources, measures of timeliness of step completion, theoretic models to facilitate inferences of causes of care continuum gaps, how measures of prevention efforts, reinfection/relapses, and interactions of continua for co-occurring comorbidities should be reflected, and how analyses of differences in retention over time, across geographic regions, and in response to interventions should be conducted are critical to the development of sound care and prevention continuum models.

Conclusion

Lessons learned from the application of continuum models to HIV and other conditions suggest that the application of well-formulated constructs of care and prevention continua, that depict, in well defined, standardized steps, incidence and mortality, along with degrees of and time to screening, engagement in care and prevention, treatment and treatment outcomes, including relapse or reinfection, may be vital tools in evaluating intervention and program outcomes, and in improving population health and population health metrics for a wide range conditions.