Abstract Background Access to Hepatitis C (HCV) care is low among HIV-infected individuals, highlighting the need for new models to deliver care for this population. Methods Retrospective cohort analysis that compared the number of HIV patients who initiated HCV therapy: hepatology (2005–2008) vs. HIV primary care model (2008–2011). Logistic-regression modeling was used to ascertain factors associated with HCV therapy initiation and achievement of sustained viral response (SVR). Results Of 196 and 163 patients that were enrolled in the HIV primary care and hepatology models, 48 and 26 were treated for HCV, respectively (p = 0.043). The HIV/HCV-patient referral rate did not differ during the two study periods (0.10 vs. 0.12/patient-yr, p = 0.18). In unadjusted analysis, predictors (p < 0.05) of HCV treatment initiation included referral to the HIV primary care model (OR: 1.7), a CD4+ count ≥400/mm3 (OR: 1.8) and alanine aminotranferase level ≥63U/L (OR: 1.9). Prior psychiatric medication use correlated negatively with HCV treatment initiation (OR: 0.6, p = 0.045). In adjusted analysis the strongest predictor of HCV treatment initiation was CD4+ count (≥400/mm3, OR: 2.1, p = 0.01). There was no significant difference in either clinic model (primary care vs. hepatology) in the rates of treatment discontinuation due to adverse events (29% vs. 16%), loss to follow-up (8 vs. 8%), or HCV SVR (44 vs. 35%). Conclusions Using a HIV primary care model increased the number of HIV patients who initiate HCV therapy with comparable outcomes to a hepatology model.

Background

Clinicians are incorporating patient-reported outcomes in the management of HIV-infected persons co-infected with hepatitis C virus (HCV), but there are no validated inventories to monitor symptoms of patients during HCV therapy.

Design

Five-year retrospective cohort analysis of persons living with HIV (PLWH) treated for HCV.

Methods

The HCV symptom-inventory (HCV-SI) was administered before, during, and after HCV treatment. Discriminant validity was assessed, separately, in mixed model linear regression of HCV-SI T-scores on treatment regimens (pegylated-interferon and ribavirin; pegylated-interferon, ribavirin, and telaprevir; and interferon-free antivirals); and side effect-related premature treatment discontinuation (SE-DC).

Results

From the 103 patients who completed the HCV-SI, 7% were female, 26% non-white, 32% cirrhotics and 91% had undetectable HIV viral loads. Most had genotype 1 (83%) and were HCV treatment-naïve (78%). We treated 19% of patients with pegylated-interferon and ribavirin, 22% with pegylated-interferon, ribavirin, and telaprevir and 59% received interferon-free antivirals. Overall, 77% achieved a sustained virologic response, and 6% discontinued HCV treatment due to side effects. In the treatment discrimination model, compared to the no treatment period, HCV-SI scores were significantly (p < 0.01) lower for interferon-free antivirals and higher for interferon-containing regimens. In the SE-DC model, the total HCV-SI, somatic and neuropsychiatric scores significantly predicted those patients who prematurely discontinued HCV treatment (P < 0.05).

Conclusions

The HCV-SI effectively differentiated among treatment regimens known to vary by side effect profiles and between patients with and without treatment discontinuation due to side effects. The HCV-SI may have value as a patient-reported outcome instrument predicting the risk of HCV treatment discontinuation.

Background

We estimated and characterized the proportion of patients living with HIV (PLWH) who missed hepatitis C (HCV) intake appointments and subsequently failed to establish HCV care.

Methods

Logistic regression analyses were used to identify factors associated with missed HCV intake appointments and failure to establish HCV care among PLWH referred for HCV treatment between January 2014 and December 2017. In addition to demographics, variables included HIV treatment characteristics, type of insurance, liver health status, active alcohol or illicit drug use, unstable housing, and history of a mental health disorder (MHD).

Results

During the study period, 349 new HCV clinic appointments were scheduled for 202 unduplicated patients. Approximately half were nonwhite, and 80% had an undetectable HIV viral load. Drug use (31.7%), heavy alcohol use (32.8%), and MHD (37.8%) were prevalent. Over the 4-year period, 21.9% of PLWH referred for HCV treatment missed their HCV intake appointment. The proportion increased each year, from 17.2% in 2014 to 25.4% in 2017 (P = .021). Sixty-six of the 202 newly referred HCV patients (32.7%) missed their first HCV appointment, and 28 of these (42.4%) failed to establish HCV care. Having a history of MHD, CD4 <200, ongoing drug use, and being nonwhite were independent predictors of missing an intake HCV appointment. The strongest predictor of failure to establish HCV care was having a detectable HIV viral load.

Conclusions

The proportion of PLWH with missed HCV appointments increased over time. HCV elimination among PLWH may require integrated treatment of MHD and substance use.

Background.  Access to hepatitis C virus (HCV) medications for human immunodeficiency virus (HIV)-infected patients with ongoing barriers to care is restricted by healthcare payers in the absence of HCV treatment outcomes data in the era of direct-acting antivirals (DAA). Methods.  Retrospective analysis of HCV treatment outcomes using interferon (IFN)-free DAA regimens and an inclusive treatment protocol in an urban HIV clinic where ongoing barriers to care (drug or alcohol use, psychiatric disease, and/or unstable housing) are common. Then, using logistic regression analysis, we compared the proportion of HIV-infected patients who achieved HCV sustained viral response (SVR) in the pegylated-IFN plus ribavirin (PEG-IFN/RBV, 2008-2011), pegylated-IFN plus ribavirin and telaprevir (PEG-IFN/RBV/PI, 2011-2013), and IFN-free DAA therapy eras (2014). Results are displayed using forest plots. Results.  The proportion of patients who achieved HCV SVR in the PEG-IFN/RBV, PEG-IFN/RBV/PI, and IFN-free DAA therapy eras increased from 38.4% (95% confidence interval [CI], 23.2-53.7) and 48% (95% CI, 28.4-67.6) to 83.3% (95% CI, 70.0-96.7), respectively. Similar proportions of patients with ongoing barriers to care were treated during the PEG-IFN/RBV (25 of 39 [64%]), PEG-IFN/RBV/PI (14 of 25 [56%]), and IFN-free DAA (16 of 30 [53%]) eras. Hepatitis C virus SVR among patients with ongoing barriers to care improved from 40% (95% CI, 21-59) to 76.5% (95% CI, 56-97) in the PEG-IFN/RBV and IFN-free DAA eras, respectively. After stratification for factors associated with HCV SVR such as HCV genotype and cirrhosis, HCV SVR were similar in patients regardless of the presence of ongoing barriers to care. Conclusions.  Using IFN-free DAA and an inclusive HCV treatment protocol, 76.5% of HIV/HCV-treated patients with ongoing barriers to care achieved HCV SVR.

Background

The aims were to investigate the hepatitis C (HCV) cascade of care among HIV-infected patients and to identify reasons for not referring for and not initiating HCV therapy after completion of HCV treatment staging.

Design and methods

Retrospective cohort analysis of HIV-infected patients under care at the University of California, San Diego (UCSD). We identified patients screened for and diagnosed with active HCV infection. Logistic regression analyses were used to identify factors associated with lack of referral for HCV therapy. Electronic medical records were reviewed to ascertain reasons for not initiating HCV therapy.

Results

Between 2008 and 2012, 4725 HIV-infected patients received care at the UCSD Owen clinic. Most patients [4534 (96%)] were screened for HCV, 748 (16%) patients had reactive serum HCV antibodies but only 542 patients had active HCV infection. Lack of engagement in care was the most important predictor of non-referral for HCV therapy [odds ratio (OR): 5.08, 95% confidence interval 3.24-6.97, p<0.00001]. Other significant predictors included unstable housing (OR: 2.26), AIDS (OR: 1.83), having a detectable HIV viral load (OR: 1.98) and being non-white (OR: 1.67). The most common reason (40%) for not initiating or deferring HCV therapy was the presence of ongoing barriers to care.

Conclusions

Screening for HCV in HIV-infected patients linked to care is high but almost half of patients diagnosed with HCV are not referred for HCV therapy. Despite improvements in HCV therapy the benefits will not be realized unless effective measures for dealing with barriers to care are implemented.

Abstract Background We aimed to determine the reliability and validity of a hepatitis symptom inventory and to identify predictors of hepatitis C (HCV) treatment initiation in a cohort of HIV-infected patients. Methods Prospective clinic based study that enrolled patients referred for HCV therapy consideration. A hepatitis symptom inventory and the Center for Epidemiologic Studies Depression Scale (CES-D) were administered to HIV/HCV individuals. The symptom inventory was factor analyzed and subscale reliability estimated with Cronbach's alpha. Predictive validity was evaluated using generalized estimating equations (GEE). Predictors of HCV treatment were identified using logistic regression. Results Between April 2008 to July 2010, 126 HIV/HCV co-infected patients were enrolled in the study. Factor analysis using data from 126 patients yielded a three-factor structure explaining 60% of the variance for the inventory. Factor 1 (neuropsychiatric symptoms) had 14 items, factor 2 (somatic symptoms) had eleven items, and factor 3 (sleep symptoms) had two items, explaining 28%, 22% and 11% of the variance, respectively. The three factor subscales demonstrated high intrinsic consistency reliability. GEE modeling of the 32 patients who initiated HCV therapy showed that patients developed worsening neuropsychiatric and somatic symptoms following HCV therapy with stable sleep symptoms. Bivariate analyses identified the following as predictors of HCV therapy initiation: lower HIV log10 RNA, lower scores for neuropsychiatric, somatic and sleep symptoms, lower CES-D scores and white ethnicity. In stepwise multiple logistic regression analysis, low neuropsychiatric symptom score was the strongest independent predictor of HCV therapy initiation and HIV log10 RNA was inversely associated with a decision to initiate HCV treatment. Conclusions A 41-item hepatitis-related symptom inventory was found to have a clinically meaningful 3-factor structure with excellent internal consistency reliability and predictive validity. In adjusted analysis, low neuropsychiatric symptom scores and controlled HIV infection were independent predictors of HCV treatment initiation. The usefulness of the HCV symptom inventory in monitoring HCV treatment should be evaluated prospectively.

Background

Little is known about the influence of ongoing barriers to care in the persistence of hepatitis C virus (HCV) viremia after treatment with direct-acting antivirals (DAAs) among people living with human immunodeficiency virus (PLWH).

Methods

We conducted a retrospective cohort analysis of PLWH treated through the standard of care in 3 Western countries, to investigate the predictors of HCV treatment failure (clinical or virologic), defined as having a detectable serum HCV ribonucleic acid within 12 weeks after DAA discontinuation. In addition to HCV and liver-related predictors, we collected data on ongoing illicit drug use, alcohol abuse, mental illness, and unstable housing. Logistic regression analyses were used to identify predictors of HCV treatment failure.

Results

Between January 2014 and December 2017, 784 PLWH were treated with DAA, 7% (n = 55) of whom failed HCV therapy: 50.9% (n = 28) had a clinical failure (discontinued DAA therapy prematurely, died, or were lost to follow-up), 47.3% (n = 26) had an HCV virologic failure, and 1 (1.8%) was reinfected with HCV. Ongoing drug use (odds ratio [OR] = 2.60) and mental illness (OR = 2.85) were independent predictors of any HCV treatment failure. Having both present explained 20% of the risk of any HCV treatment failure due to their interaction (OR = 7.47; P < .0001). Predictors of HCV virologic failure were ongoing illicit drug use (OR = 2.75) and advanced liver fibrosis (OR = 2.29).

Conclusions

People living with human immunodeficiency virus with ongoing illicit drug use, mental illness, and advanced liver fibrosis might benefit from enhanced DAA treatment strategies to reduce the risk of HCV treatment failure.

Background

Antiretroviral (ARV) medications differentially penetrate across the blood-brain barrier into central nervous system (CNS) tissues, potentially influencing their effectiveness in treating brain infection.

Methods

This randomized controlled clinical trial (RCT) called for 120 participants at 5 study sites to be randomized 1:1 to CNS-targeted (CNS-T) or non-CNS-T ART. Entry clinical factors such as ARV experience were balanced across arms using an adaptive randomization approach. The primary outcome, change in neurocognitive performance, was measured as the difference in global deficit score (GDS) from baseline to week 16.

Results

The study was terminated early on the recommendation of its data safety monitoring board on the basis of slow accrual and a low likelihood of detecting a difference in the primary outcome. No safety concerns were identified. Of 326 participants screened, 59 met entry criteria and were randomized. The primary intent-to-treat analysis included 49 participants who completed week 16. These comprised 39 men and 10 women with a mean age of 44 years (SD, 10 years), and median nadir and current CD4(+) T-cell counts of 175 cells/µL and 242 cells/µL, respectively. The proportional improvement in GDS from baseline was nonsignificantly larger (7%; 95% confidence interval [CI], -31% to 62%) in the CNS-T arm than in the non-CNS-T arm, representing a treatment effect size of 0.09 (95% CI, -.48 to .65). Prespecified secondary analysis showed a trend interaction (P = .087), indicating that participants who had baseline plasma virologic suppression may have benefited from CNS-T.

Conclusions

This study found no evidence of neurocognitive benefit for a CNS-T strategy in HIV-associated neurocognitive disorders. A benefit for a subgroup or small overall benefits could not be excluded. Clinical Trials Registration NCT00624195.