Deferred modification of antiretroviral regimen following documented treatment failure in Asia: results from the TREAT Asia HIV Observational Database (TAHOD)

Objective The aim of the study was to examine the rates and predictors of treatment modification following combination antiretroviral therapy (cART) failure in Asian patients with HIV enrolled in the TREAT Asia HIV Observational Database (TAHOD).
Methods Treatment failure (immunological, virological and clinical) was defined by World Health Organization criteria. Countries were categorized as high or low income by World Bank criteria.
Results Among 2446 patients who initiated cART, 447 were documented to have developed treatment failure over 5697 person-years (7.8 per 100 person-years). A total of 253 patients changed at least one drug after failure (51.6 per 100 person-years). There was no difference between patients from high- and low-income countries [adjusted hazard ratio (HR) 1.02; P =0.891]. Advanced disease stage [Centers for Disease Control and Prevention (CDC) category C vs . A; adjusted HR 1.38, P =0.040], a lower CD4 count (≥51 cells/μL vs . ≤50 cells/μL; adjusted HR 0.61, P =0.022) and a higher HIV viral load (≥400 HIV-1 RNA copies/mL vs . <400 copies/mL; adjusted HR 2.69, P <0.001) were associated with a higher rate of treatment modification after failure. Compared with patients from low-income countries, patients from high-income countries were more likely to change two or more drugs (67% vs . 49%; P =0.009) and to change to a protease-inhibitor-containing regimen (48% vs . 16%; P <0.001).
Conclusions In a cohort of Asian patients with HIV infection, nearly half remained on the failing regimen in the first year following documented treatment failure. This deferred modification is likely to have negative implications for accumulation of drug resistance and response to second-line treatment. There is a need to scale up the availability of second-line regimens and virological monitoring in this region.     

HBV lamivudine resistance among hepatitis B and HIV coinfected patients starting lamivudine, stavudine and nevirapine in Kenya

Widespread use of lamivudine in antiretroviral therapy may lead to hepatitis B virus resistance in HIV-HBV coinfected patients from endemic settings where tenofovir is not readily available. We evaluated 389 Kenyan HIV-infected adults before and for 18 months after starting highly active antiretroviral therapy with stavudine, lamivudine and nevirapine. Twenty-seven (6.9%) were HBsAg positive and anti-HBs negative, 24 were HBeAg negative, and 18 had HBV DNA levels ≤ 10,000 IU/mL. Sustained HBV suppression to <100 IU/mL occurred in 89% of 19 evaluable patients. Resistance occurred in only two subjects, both with high baseline HBV DNA levels. Lamivudine resistance can emerge in the setting of incomplete HBV suppression but was infrequently observed among HIV-HBV coinfected patients with low baseline HBV DNA levels.     

Hepatitis B and C virus coinfection in The TREAT Asia HIV Observational Database

BACKGROUND AND AIM: Most studies of hepatitis B virus (HBV) and hepatitis C virus (HCV) coinfection with HIV have been conducted among Western patient populations. This study aims to assess rates of HBV and HCV coinfection, and their impact on response to antiretroviral therapy and mortality, using data from The TREAT Asia HIV Observational Database (TAHOD), a multi-center cohort of patients with HIV in the Asia-Pacific region. METHODS: Patients who had been tested either HBV surface antigen (HBsAg) or HCV antibody were included. Patients who ever tested positive for HBV or HCV were regarded as coinfected for the duration of the study. RESULTS: Results of hepatitis tests were available for 55% (HBV) and 49% (HCV) of 2979 TAHOD patients, with prevalence of HBV and HCV coinfection both at approximately 10%. Mean CD4 change at 180 days after antiretroviral treatment initiation was 118.8 cells/muL and patients with either HBV or HCV had a lower but non-significant CD4 increase compared with patients with HIV only. Median time to reach undetectable viral load (<400 copies/mL) was 148 days and was not independently associated with HBV or HCV. In univariate analysis, patients with HCV had increased mortality (unadjusted hazard ratio, HR 2.80, P = 0.007). However, neither HBV (adjusted HR 0.80, 95% confidence interval CI 0.24-2.64, P = 0.710) nor HCV (adjusted HR 1.06, 95% CI 0.40-2.79, P = 0.905) was associated with increased mortality after adjustment for other covariates. Both HBV and HCV remained independently associated with elevated alanine aminotransferase (ALT) in the multivariate model (HBV, adjusted HR 1.94, 95% CI 1.04-3.62, P = 0.037; HCV, adjusted HR 2.74, 95% CI 1.47-5.12, P = 0.002). CONCLUSION: The impact of hepatitis coinfection on immunological and virological responses to antiretroviral therapy and HIV disease progression among this Asian cohort are similar to that seen in Western countries. The longer-term impact of hepatitis coinfection on both HIV disease and liver disease morbidity and mortality needs to be monitored.     

Measures of site resourcing predict virologic suppression,immunologic response and HIV disease progression following highly active antiretroviral therapy (HAART) in the TREAT Asia HIV Observational Database (TAHOD)

Objectives

Surrogate markers of HIV disease progression are HIV RNA in plasma viral load (VL) and CD4 cell count (immune function). Despite improved international access to antiretrovirals, surrogate marker diagnostics are not routinely available in resource‐limited settings. Therefore, the objective was to assess effects of economic and diagnostic resourcing on patient treatment outcomes.

Methods

Analyses were based on 2333 patients initiating highly active antiretroviral therapy (HAART) from 2000 onwards. Sites were categorized by World Bank country income criteria (high/low) and annual frequency of VL (≥3, 1–2 or <1) or CD4 (≥3 or <3) testing. Endpoints were time to AIDS/death and change in CD4 cell count and VL suppression (<400 HIV‐1 RNA copies/mL) at 12 months. Demographics, Centers for Disease Control and Prevention (CDC) classification, baseline VL/CD4 cell counts, hepatitis B/C coinfections and HAART regimen were covariates. Time to AIDS/death was analysed by proportional hazards models. CD4 and VL endpoints were analysed using linear and logistic regression, respectively.

Results

Increased disease progression was associated with site‐reported VL testing less than once per year [hazard ratio (HR)=1.4; P=0.032], severely symptomatic HIV infection (HR=1.4; P=0.003) and hepatitis C virus coinfection (HR=1.8; P=0.011). A total of 1120 patients (48.2%) had change in CD4 cell count data. Smaller increases were associated with older age (P<0.001) and ‘Other’ HIV source exposures, including injecting drug use and blood products (P=0.043). A total of 785 patients (33.7%) contributed to the VL suppression analyses. Patients from sites with VL testing less than once per year [odds ratio (OR)=0.30; P<0.001] and reporting ‘Other’ HIV exposures experienced reduced suppression (OR=0.28; P<0.001).

Conclusion

Low measures of site resourcing were associated with less favourable patient outcomes, including a 35% increase in disease progression in patients from sites with VL testing less than once per year.     

A randomized controlled trial investigating the efficacy and safety of switching from a protease inhibitor to nevirapine in patients with undetectable viral load

OBJECTIVE: To assess the antiviral efficacy and safety of switching from a protease inhibitor (PI) to nevirapine in patients with long-term HIV-1 RNA suppression on PI-containing regimens, and to assess its influence in the adherence to treatment. METHODS: In an open-label multicentre study, 160 HIV-infected patients with undetectable viral load for at least 6 months on a PI-containing regimen were randomized to either continue with their PI regimen (n=79) or replace PI with nevirapine (n=81). Clinical assessment included plasma HIV-1 RNA, blood chemistry, haematology, lymphocyte counts and adverse events reports. Adherence to treatment and lipodystrophy syndrome were assessed by patient self-reporting. RESULTS: Treatment efficacy was equivalent in the two arms, for patients with viral loads either above or below 100 000 HIV-1 RNA copies/mL. The increase in CD4 cell count was significant in both arms (P<0.00001) but the average CD4 cell count at 48 weeks was slightly higher in the nevirapine arm (596 vs. 569; P=0.1588). The number of patients with severe hypertriglyceridaemia (>400 mg/dL) after 48 weeks of treatment decreased in the nevirapine arm (from 11 to six), but increased in the PI arm (from four to 11) and led to treatment discontinuation in two patients. Lipodystrophy changes increased in 15% of patients in the PI arm but decreased in 4% of patients in the nevirapine arm. Finally, although adherence was similar in the two arms, patients reported that it required significantly less effort to stay on treatment in the nevirapine arm. Conclusions The results indicate that switching from PI to nevirapine is as effective as continuing with PI for maintaining viral control, even in patients with baseline viral load above 100,000 copies/mL. In addition, reductions in hypertriglyceridaemia and lipodystrophy and in the effort required to stay on treatment were observed.     

Predicting short-term disease progression among HIV-infected patients in Asia and the Pacific region: preliminary results from the TREAT Asia HIV Observational Database (TAHOD)

OBJECTIVES: HIV disease progression has been well documented in Western populations. This study aimed to estimate the short-term risk of AIDS and death from the TREAT Asia HIV Observational Database (TAHOD), a prospective, multicentre cohort study in Asia and the Pacific region. METHODS: Prospective data were analysed to estimate short-term disease progression. Endpoints were defined as the time from study entry to diagnosis with AIDS or death. Antiretroviral treatment was fitted as a time-dependent variable. Predictors of disease progression were assessed using Cox proportional hazards models, and prognostic models were developed using Weibull models. RESULTS: A total of 1260 patients with prospective follow-up data contributed 477 person-years of follow-up, during which 18 patients died and 34 were diagnosed with AIDS, a combined rate of 10.1 per 100 person-years. Compared with patients receiving antiretroviral treatment, patients not on treatment had a higher rate of disease progression (17.6 vs. 8.1 per 100 person-years, respectively). Baseline CD4 count was the strongest predictor of disease progression. Prognostic models, using either a baseline CD4 count as the sole marker or markers including baseline haemoglobin, AIDS-related symptoms and previous or current antiretroviral treatment, were successful at identifying patients at high risk of short-term disease progression. CONCLUSIONS: Similar to the situation in Western countries, baseline CD4 count was the strongest predictor of short-term disease progression. Prognostic models based on readily available clinical data and haemoglobin level should be useful in estimating short-term clinical risk in HIV-infected patients in Asia and the Pacific region.     

Antiretroviral treatment change among HIV, hepatitis B virus and hepatitis C virus co-infected patients in the Australian HIV Observational Database

OBJECTIVES: To assess the impact of highly active antiretroviral therapy (HAART) on rates of change of antiretroviral treatment among patients co-infected with hepatitis B virus (HBV) and/or hepatitis C virus (HCV) in the Australian HIV Observational Database (AHOD). METHODS: Analysis was based on 805 of the 2218 patients recruited to the AHOD by March 2003, who had commenced HAART after 1 January 1997, who had recorded test results for HBV surface antigen and anti-HCV antibody, and who had follow-up of more than 3 months. The effect of hepatitis co-infection on the rate of antiretroviral treatment change after commencing HAART was assessed using a random-effect Poisson regression model. RESULTS: Among those included in the analyses, the prevalences of HBV and HCV were 4.8% and 12.8%, respectively. The overall rate of combination antiretroviral treatment change was 0.74 combinations per year. Factors independently associated with an increased rate of change of combination antiretroviral treatment were: prior AIDS-defining illness; prior exposure to double combination antiretroviral therapy; and antiretroviral treatment class. Co-infection with HBV and/or HCV was not found to be significantly associated with the rate of combination antiretroviral treatment change. CONCLUSIONS: While both HBV and HCV co-infections are relatively common in the AHOD, they do not appear to be serious impediments to the treatment of HIV-infected patients.     

Treatment of hepatitis B with lamivudine and tenofovir in HIV/HBV-coinfected patients: factors associated with response

As therapy for human immunodeficiency virus (HIV) infection evolves, optimizing hepatitis B virus (HBV) treatment and identifying factors that impact its response in the HIV/HBV-coinfected population is critical. We identified retrospectively 45 HBV/HIV-coinfected patients with detectable HBV DNA by the Bayer VERSANT HBV 3.0 bDNA assay (limit of quantification 2000 copies/mL) at baseline and/or year 1 of therapy. Patients were divided into three groups based on the active HBV agent in their antiretroviral regimen: group 1 (n = 15) received lamivudine; group 2 (n = 10), lamivudine plus tenofovir and group 3 (n = 20), lamivudine followed by lamivudine plus tenofovir. HBV genotypes and resistance profiles were determined by the Bayer Trugene HBV 1.0 assay. More patients in group 2 achieved HBV DNA suppression below 2000 copies/mL (80%), loss of HBe antigen (HBeAg) (40%) and loss of HBeAg and gain of anti-HBe (20%) than did patients in group 1 or 3. More patients with HBV genotype A, achieved HBV DNA suppression <2000 copies/mL than did patients with non-A genotypes [74% (26/35) vs 20% (2/10)], respectively (P = 0.003). Risk for virological nonresponse was significant in those with non-A genotypes [odds ratio (OR) 11.1; 95% CI: 2.0-50], previous HIV therapy (OR 6.5; 95% CI: 1.2-35) and <90% compliance (OR 3.7; 95% CI: 0.99-14.3). Simultaneous therapy with lamivudine/tenofovir suppresses HBV DNA more effectively than lamivudine or tenofovir added to lamivudine. More patients infected with HBV genotype A responded than the non-A patients, regardless of therapeutic regimen, compliance or prior HIV therapy.