Improving HCV Cure Rates in HIV-Coinfected Patients - A Real-World Perspective

Seetha Lakshmi, MD; Maria Alcaide, MD; Ana M Palacio, MD, MPH; Mohammed Shaikhomer, MD; Abigail L Alexander, MS; Genevieve Gill-Wiehl, BA; Aman Pandey, BS; Kunal Patel, BS; Dushyantha Jayaweera, MD; a

Globally, an estimated 30% of the 33 million people living with HIV infection also have hepatitis C virus (HCV) coinfection.1 The natural history of HCV infection is altered in the HIV-infected host: patients with coinfection are half as likely to spontaneously clear HCV viremia, tend to have higher HCV ribonucleic acid (RNA) levels, and have accelerated progression to hepatic fibrosis and decompensated liver disease.2,3 Despite the use of antiretroviral therapy, the proportion of deaths caused by HCV-related end-stage liver disease and hepatocellular carcinoma have increased in the HIV-infected population.4
Historically, patients coinfected with HIV/HCV who are treated with interferon and ribavirin (IFN/RBV) for HCV had lower rates of sustained virological response (SVR) than those without HIV infection.5 In contrast to the IFN/RBV treatment, the direct-acting antivirals (DAAs) have demonstrated similar rates of HCV cure in monoinfected and coinfected patients in clinical trials where strict follow-up is mandated.6,7 However, data on rates of HCV cure with the use of DAAs in patients coinfected with HIV/HCV in real-world settings are lacking.
Treatment of HIV/HCV coinfection poses specific challenges, as it is preferred that patients be on stable antiretroviral therapy (ART) prior to initiating HCV treatment, and that there be careful consideration of drug-drug interactions. In addition, due to the high cost of DAAs, insurance companies may have specific criteria to approve HCV treatment in the HIV-infected population. Access to care, frequent monitoring of HIV treatment, and adherence to antiretroviral therapy have been associated with faster time to HIV viral suppression and increased survival in the HIV-infected population.8,9 In real-world settings, these and other factors may be less optimal than in randomized clinical trials; therefore, we aimed to describe predictors of HCV cure among patients with HIV/HCV coinfection in 3 large urban outpatient settings. We hypothesized that real-world rates of HCV cure in the HIV-infected population are lower than those that have been described in clinical trials, and that attendance at clinical monitoring visits is associated with higher cure rates.
Understanding real-world data is key to inform interventions and treatment protocols and to potentially increase cure rates in the HIV/HCV-coinfected population.
Study Design
This was a retrospective cohort study of adult patients coinfected with HIV/HCV receiving medical care at 3 large outpatient settings in south Florida: 1) the Miami Veterans Affairs (VA) Healthcare System serves approximately 153,000 veterans in 3 counties by operating 372 hospital beds, a community living center, and 7 satellite clinics; 2) the University of Miami Health system (UHealth) is a private academic institution operating 3 hospitals and 30 outpatient facilities serving 4 counties; and 3) the Jackson Health System (JHS), a public academic institution with 6 hospitals, 12 specialty care centers, and 2 long-term care centers, serves as a tertiary referral center for the state of Florida.
We reviewed medical charts of individuals with HIV/HCV coinfection who initiated and completed treatment for HCV with DAAs in any of these 3 institutions between January 1, 2014, and June 30, 2015.
Inclusion Criteria
All adults with HIV/HCV coinfection who initiated and completed HCV therapy with DAAs were included. HCV treatment was provided to patients 18 years or older with no evidence of active drug or alcohol abuse and who were on ART for HIV.
Our primary outcome was HCV cure. Cure was defined as an undetectable HCV RNA at 12 weeks after therapy completion (SVR at week 12 [SVR12] post treatment). A relapse was defined as recurrence of HCV RNA in a patient who had an end-of-treatment response (undetectable HCV RNA at the end of treatment). A virologic breakthrough refers to the reappearance of HCV RNA while still on therapy in a patient who had suppressed their viral level earlier in the course of therapy.10 We defined completion of treatment as self-reported completion of DAA therapy for the duration recommended by the provider. The selection and duration of HCV therapy strictly followed the guidelines of the American Association for the Study of Liver Diseases, and these choices were based on HCV genotype, degree of hepatic fibrosis, risk of drug interactions, etc.
Our main exposure was attendance at follow-up clinic visits. Attendance at follow-up clinic visits was defined as attendance at clinic visits at week 4; once during weeks 6, 7, or 8; and week 12 of HCV treatment, independent of attendance at laboratory visits. The 3 study settings have different monitoring protocols for patients coinfected with HIV/HCV; however, all sites required clinic visits on weeks 4, 6 to 8, and 12. We describe below the monitoring protocols at each site:
The VA outpatient clinics. The treatment is initiated and monitored by the hepatology clinic. The treatment protocol requires clinic and laboratory visits every 2 weeks for the first 2 months, and then monthly, thereafter. A key characteristic is that the VA pharmacy dispenses DAAs during follow-up visits only if the medication for the previous period has been completed.
UHealth. The HIV provider or the hepatologist initiates treatment. The treatment protocol recommends follow-up clinic and laboratory visits every 4 weeks. During the initial visit, the patient receives prescriptions with refills to complete HCV treatment. The pharmacy assists in obtaining approval for medications, but medications are provided by community pharmacies based on initial prescription orders and are independent of follow-up visits or laboratory results.
JHS outpatient clinics. The HIV provider initiates treatment for HCV. The treatment protocol recommends follow-up clinic and laboratory visits every 4 weeks; however, during the initial visit, the patient receives prescriptions with refills to complete HCV treatment. The JHS pharmacy assists in obtaining approval for medications and informs the ordering physician when medications are approved. Medications are provided by community pharmacies based on initial prescription orders and are independent of follow-up visits or lab results.
Other Independent Variables
Other exposure variables included the following: sociodemographic characteristics (age, gender, race, location of treatment); clinical assessments (baseline HIV viral load and median CD4 count, ART regimen during HCV treatment, HCV genotype, HCV viral load, presence of cirrhosis, prior history of HCV treatment and agents used for treatment, presence of hepatitis B coinfection, HCV treatment regimen, concurrent use of ribavirin with DAAs for HCV treatment); attendance at treatment laboratory visits (defined as lab tests done on week 4, once during weeks 6 to 8, on week 12 and at the end of treatment); and posttreatment lab visits.
Study Procedures
We reviewed all medical charts and provider notes, and we collected exposure, outcome, and covariate data. We also collected adverse events documented in the medical chart on each follow-up visit. We reviewed information on all follow-up visits as documented in the medical chart.
Statistical Analysis
We used REDCap version 6.5.2 electronic data capture tools, hosted at University of Miami, to collect and manage study data. We used descriptive statistics to report the baseline characteristics of the population. We conducted univariable analysis with calculation of odds ratio, 95% CI, and χ2 testing (a P value of .05 was considered to indicate statistical significance). In order to identify predictors, we used logistic regression analysis. Our multivariable analysis included the variables that were significant in the univariate analysis, and those that have been described to be associated with cure in the literature (ie, absence of cirrhosis, HCV genotype, aspartate aminotransferase platelet ratio index score, duration of treatment, race, and prior history of treatment). SPSS version 22 statistical software (IBM Corp, Armonk, New York) was used for analysis.
Ethics Statement
Institutional review board approvals from the University of Miami, JHS’s Jackson Memorial Hospital, and the VA Hospital administration were obtained prior to performing any study-related procedures. Due to the retrospective nature of this study, a waiver of informed consent was granted.
Characteristics of the Study Population
Eighty-four participants reported completing treatment and were evaluated 12 weeks post treatment. The median age was 58 years (interquartile ratio [IQR], 50-66), 88% were men, and 50% were black (Table 1). Approximately 90% of the patients had undetectable HIV viral load at baseline and had a median CD4 count of 604 cells/mm3 (IQR, 812-374). Use of ART was as follows: over half of the patients were on an integrase-based HIV regimen and 20% were on a non-nucleoside reverse transcriptase inhibitor (NNRTI)-based regimen. More than two-thirds of our patients were infected with genotype 1a with a median HCV viral load of 14.9 log10IU/mL (IQR, 12.4-17.4). A third of the population had cirrhosis, and half had prior history of HCV treatment. Of the prior HCV treatment regimens used, about 40% were interferon-based. Hepatitis B coinfection was found in 16% of the patients.
The most commonly used regimen was sofosbuvir and ledipasvir, which was prescribed to approximately 40% of the patients. The second most common regimen was simeprevir with sofosbuvir (without ribavirin) prescribed to about 30% of the patients, followed by simeprevir with sofosbuvir (with ribavirin) prescribed to about 15% of the patients.
The regimens appeared to be well tolerated with two-thirds of the patients reporting no adverse effects. Patients on ribavirin were noted to have more fatigue and anemia (n = 9 and 8) versus those not on ribavirin (n = 5 and 0), respectively.
Among the 84 participants included in the study, 83.3% attained SVR12 (n = 70), which, in this study, is defined as having achieved cure; 11.9% relapsed (n = 10), 2.3% experienced virological breakthrough (n = 2), and 2 patients (2.3%) were deemed not to have completed treatment based on pill counts and follow-up visit documentation (Figure).
Factors associated with cure. Univariate and multivariate analyses of demographics and clinical factors, and their associations with cure, were conducted and are illustrated in Tables 2 and 3. Factors associated with cure in univariate analysis were: attendance at follow-up visits (odds ratio [OR], 7.89; 95% CI, 2.26-27.4); receiving care at the Miami VA site (OR, 3.98; 95% CI, 1.13-13.9); attending treatment laboratory visits (OR, 6.6; 95% CI, 1.92-22.6). Age, race, genotype, presence of cirrhosis, prior HCV treatment, HCV regimen, hepatitis B virus coinfection, week 4 SVR, CD4 counts, and pre-treatment HCV RNA were not associated with cure.
In multivariable analysis, factors associated with cure were attendance at follow-up clinic visits (OR, 9.0; 95% CI, 2.91-163) and use of an integrase-based HIV regimen versus a non–integrase-based regimen such as NNRTI or protease inhibitors (OR, 6.22; 95% CI, 1.81-141). We excluded attendance at laboratory visits and treatment at the VA from the model due to collinearity with attendance at follow-up clinic visits.
Of the 12 patients who failed treatment, 8 were black, 4 were cirrhotic, 10 were infected with genotype 1a, 2 were infected with genotype 1b, 5 were treatment-experienced, and 7 were treated with simeprevir plus sofosbuvir. Three of the 7 patients treated with simeprevir plus sofosbuvir were cirrhotic. About two-thirds of the patients who failed therapy did not have attendance at follow-up clinic visits. However, race, presence of cirrhosis, HCV genotype, and drugs used for treatment of HCV were not associated with cure. (For a detailed description of the patients who failed treatment, and adverse effects experienced, please see the eAppendix Table [available at]).
HCV cure rates among patients coinfected with HIV/HCV seeking care in real-world settings are lower than those reported in clinical trials.6,7,11,12 Achieving cure (defined by SVR12 in this study) was closely associated with attendance at follow-up clinic visits and to the use of an integrase-based HIV regimen compared with non–integrase-based regimens such as NNRTI or protease inhibitors. Our study did not show an association of black race or cirrhosis with decreased cure rates, although others have previously found this association.6 Nevertheless, our study may lack the sufficient statistical power to detect this association.
The main contribution of our study to real-world clinical practice is the relationship between attendance at follow-up clinic visits and cure rates. Treatment of HCV in the HIV-infected population is challenging due to accelerated liver disease, concomitant comorbidities, and difficulties managing HCV-HIV drug-drug interactions. The importance of adequate adherence to clinical care has previously been described in populations infected only with HIV, in which greater frequency of visits and early linkage to care were associated with faster time to HIV viral suppression.9,13,14 The reason for this relationship has not been fully described in HIV, although these authors have hypothesized medication adherence as a possible mediator.
Frequency of clinic visits has been associated with higher medication adherence in populations with other chronic diseases.15 In our study, we found that attendance at visits was more common among the veterans cared for at the Miami VA. This group was very similar to the other 2—those being treated at UHealth and JHS—with the exception of a higher prevalence of black race and HCV treatment naïve patients (Table 1). However, the Miami VA, being a closed system, used key strategies to incentivize attendance, such as scheduling more frequent visits and only refilling medications at follow-up visits, once the pharmacist has ensured that all medication bottles were empty. This contrasts with the 2 fee-for-service sites that had less-frequent scheduled visits and provided the entire regimen at the beginning of the treatment. Even though this latter protocol may have been designed to improve access to the medications, our findings suggest that providing refills during follow-up visits may be more effective. We could not evaluate the mechanism through which the VA treatment protocol may influence cure; however, we can hypothesize that a likely mechanism is an improvement in medication adherence. Frequent clinic visits may address known barriers to adherence, such as misconceptions on the efficacy of the medication, fear of side effects, low self-efficacy, mistrust, depression, and other psychological factors, to name a few.16,17
Future studies should include measures of adherence to DAAs to better elucidate the mechanisms through which different treatment protocols can achieve HCV cure. Nevertheless, our findings suggest that fee-for-service health systems should work with payers and other stakeholders to develop feasible and successful models of care for HCV treatment in the HIV-infected population. If medical visits facilitate cure through medication adherence, models of care could include ancillary services such as in-person or phone-based behavioral interventions led by counselors, which have been shown to increase medication adherence among patients with HIV.18,19 Such interventions could be introduced as a model of care that does not use clinic infrastructure (already at maximum use) and could be a more feasible strategy to provide cost-efficient, high-quality care. Interventions to increase adequate follow-up for HCV treatment in patients coinfected with HIV have the potential to increase cure rates and reduce treatment costs by ensuring that treatment is provided as prescribed.
In this study, we also found that patients receiving integrase inhibitors for the treatment of HIV had higher rates of cure when treated for HCV. This may be related to the fact that integrase inhibitors have fewer drug-drug interactions with HCV medications (hence lower chances of sub therapeutic drug levels for HCV) than do NNRTIs or protease inhibitors.20 Future studies should evaluate the hypothesis that better tolerability of the integrase-based regimen may improve adherence to the HCV regimen as well.
This study has several limitations related to the retrospective nature of its design and the small sample size. First, we could not compare medication adherence among the 3 groups (which may mediate the effect of follow-up visits) because all clinics used different strategies to address adherence. We also did not collect data on socioeconomic status, health literacy, and depression, all of which have been linked to medication adherence and outcomes, raising the possibility of residual confounding. Additionally, although this study involves 3 large hospital sites, the small sample size precludes generalization of the study findings and increases the chances of a type 2 error, such as the ability to detect associations among cirrhosis, black race, and cure. It should be noted that 3 cirrhotic patients who failed therapy were prescribed only 12 weeks of sofosbuvir/simeprevir treatment (instead of 24 weeks), which would have resulted in inadequate duration of therapy and, therefore, spuriously low cure rates. Finally, we could not adjust the model by provider or specialty, as several providers could deliver follow-up care to the same patient.
Real-world HCV cure rates when using DAA in HIV/HCV coinfection are lower than those seen in clinical trials. Cure is associated with attendance at follow-up clinic visits and the use of integrase-based HIV regimens as opposed to NNRTIs or protease inhibitors. Future studies should evaluate predictors of adequate attendance at follow-up visits, the role of medication adherence, and the effect of integrase-based regimen on HCV cure to inform best models of HCV/HIV care.

The authors gratefully acknowledge use of the services of the Miami Center for AIDS Research at the University of Miami (P30AI073961).
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