Cardiovascular disease and diabetes in HIV-positive and HIV-negative gay and bisexual men over the age of 55 years in Australia: insights from the Australian Positive & Peers Longevity Evaluation Study.

OBJECTIVES: As HIV-positive people age, diagnosis and management of comorbidities associated with ageing are of increasing concern. In this study, we aimed to compare the self-reported prevalences of heart disease, stroke, thrombosis and diabetes in older Australian HIV-positive and HIV-negative gay and bisexual men (GBM). METHODS: We analysed data from the Australian Positive & Peers Longevity Evaluation Study (APPLES), a study of a prospectively recruited cross-sectional sample of 228 (51.1%) HIV-positive and 218 (48.9%) HIV-negative GBM, aged ≥ 55 years. Regression methods were used to assess the association of HIV status with self-reported comorbidities. RESULTS: Of 446 patients, 389 [200 (51.4%) HIV-positive] reported their disease history. The reported prevalence of comorbidities was higher in the HIV-positive group than in the HIV-negative group: heart disease, 19.5 versus 12.2%; stroke, 7.5 versus 4.2%; thrombosis, 10.5 versus 4.2%; and diabetes, 15.0 versus 9.0%, respectively. In adjusted analyses, HIV-positive GBM had significantly increased odds of reporting heart disease [adjusted odds ratio (aOR) 1.99; P = 0.03] and thrombosis (aOR 2.87; P = 0.01). In our analysis, HIV status was not significantly associated with either age at diagnosis of heart disease (median 53 years for HIV-positive GBM versus 55 years for HIV-negative GBM; P = 0.64) or 5-year cardiovascular disease (CVD) risk estimated using the Framingham risk score. CONCLUSIONS: HIV-positive GBM more commonly reported heart disease and thrombosis compared with their HIV-negative peers. These results further highlight the need to understand the impact of HIV on age-related comorbidities in GBM, to guide optimal screening and treatment strategies to reduce the risk of these comorbidities among the HIV-positive population.

Trends in hepatocellular carcinoma incidence and survival among people with hepatitis C: An international study.

This study evaluates trends in hepatitis C virus (HCV)-related hepatocellular carcinoma (HCC) incidence and survival in three settings, prior to introduction of direct-acting antiviral (DAA) therapies. HCV notifications from British Columbia (BC), Canada; New South Wales (NSW), Australia; and Scotland (1995-2011/2012/2013, respectively) were linked to HCC diagnosis data via hospital admissions (2001-2012/2013/2014, respectively) and mortality (1995-2013/2014/2015, respectively). Age-standardized HCC incidence rates were evaluated, associated factors were assessed using Cox regression, and median survival time after HCC diagnosis was calculated. Among 58 487, 84 529 and 31 924 people with HCV in BC, NSW and Scotland, 734 (1.3%), 1045 (1.2%) and 345 (1.1%) had an HCC diagnosis. Since mid-2000s, HCC diagnosis numbers increased in all jurisdictions. Age-standardized HCC incidence rates remained stable in BC and Scotland and increased in NSW. The strongest predictor of HCC diagnosis was older age [birth <1945, aHR in BC 5.74, 95% CI 4.84, 6.82; NSW 9.26, 95% CI 7.93, 10.82; Scotland 12.55, 95% CI 9.19, 17.15]. Median survival after HCC diagnosis remained stable in BC (0.8 years in 2001-2006 and 2007-2011) and NSW (0.9 years in 2001-2006 and 2007-2013) and improved in Scotland (0.7 years in 2001-2006 to 1.5 years in 2007-2014). Across the settings, HCC burden increased, individual-level risk of HCC remained stable or increased, and HCC survival remained extremely low. These findings highlight the minimal impact of HCC prevention and management strategies during the interferon-based HCV treatment era and form the basis for evaluating the impact of DAA therapy in the coming years.

Life expectancy of HIV-positive people after starting combination antiretroviral therapy: a meta-analysis.

OBJECTIVES: Life expectancy is an important indicator informing decision making in policies relating to HIV-infected people. Studies estimating life expectancy after starting combination antiretroviral therapy (cART) have noted differences between income regions. The objective of our study was to perform a meta-analysis to assess life expectancy of HIV-positive people after starting cART, and to quantify differences between low/middle- and high-income countries. METHODS: Eight cohort studies estimating life expectancy in HIV-positive people initiating cART aged ≥ 14 years using the abridged life table method were identified. Random effects meta-analysis was used to pool estimated outcomes, overall and by income region. Heterogeneity between studies was assessed with the I2 statistic. We estimated additional years of life expected after starting cART at ages 20 and 35 years. RESULTS: Overall life expectancy in high-income countries was an additional 43.3 years [95% confidence interval (CI) 42.5-44.2 years] and 32.2 years (95% CI 30.9-33.5 years) at ages 20 and 35 years, respectively, and 28.3 (95% CI 23.3-33.3) and 25.6 (95% CI 22.1-29.2) additional years, respectively, in low/middle-income countries. In low/middle-income countries, life expectancy after starting cART at age 20 years was an additional 22.9 years (95% CI 18.4-27.5 years) for men and 33.0 years (95% CI 30.4-35.6 years) for women, but was similar in the two sexes in high-income countries. In all income regions, life expectancy after starting cART increased over calendar time. CONCLUSIONS: Our results suggest that the life expectancy of HIV-positive people after starting cART has improved over time. Monitoring life expectancy into the future is important to assess how changes to cART guidelines will affect patient long-term outcomes.

Hospitalisation rates and associated factors in community-based cohorts of HIV-infected and -uninfected gay and bisexual men.

OBJECTIVES: There is evidence that HIV-positive patients are suffering from a greater burden of morbidity as they age due to nonAIDS-related complications. To date it has been difficult to determine what part of this excess risk is due to the health effects of HIV, its treatment or to lifestyle factors common to gay and bisexual men (GBM). We calculated overall and cause-specific hospitalisation rates and risk factors for hospitalisations in HIV-negative and HIV-positive cohorts of GBM and compare these with rates in the general male population. METHODS: We conducted a record linkage study, linking two cohorts of HIV-negative (n = 1325) and HIV-positive (n = 557) GBM recruited in Sydney, New South Wales (NSW), Australia with the NSW hospital discharge data register. We compared rates of hospitalisation in the two cohorts and risk factors for hospitalisation using random-effects Poisson regression methods. Hospitalisation rates for each cohort were further compared with those in the general male population using indirect standardisation. RESULTS: We observed 2032 hospitalisations in the HIV-negative cohort during 13,016 person-years (PYs) [crude rate: 15.6/100 PYs (95% CI: 14.9-16.3)] and 2130 hospitalisations in the HIV-positive cohort during 5571 PYs [crude rate: 38.2/100 PYs (95% CI: 36.6-39.9)]. HIV-positive individuals had an increased risk of hospitalisation compared with the HIV-negative individuals [adjusted-IRR: 2.34 (95% CI: 1.91-2.86)] and the general population [SHR: 1.45 (95% CI: 1.33-1.59)]. Hospitalisation rates were lower in the HIV-negative cohort compared with the general population [SHR: 0.72 (95% CI: 0.67-0.78)]. The primary causes of hospitalisation differed between groups. CONCLUSIONS: HIV-positive GBM continue to experience excess morbidity compared with HIV-negative GBM men and the general population. HIV-negative GBM had lower morbidity compared with the general male population suggesting that GBM identity does not confer excess risk.

Short-term weight gain after antiretroviral therapy initiation and subsequent risk of cardiovascular disease and diabetes: the D:A:D study.

OBJECTIVES: The aim of the study was to assess the impact of the gain in body mass index (BMI) observed immediately after antiretroviral therapy (ART) initiation on the subsequent risk of cardiovascular disease (CVD) and diabetes. METHODS: We analysed data from the Data Collection on Adverse Events of Anti-HIV Drugs (D:A:D) cohort study. Outcomes were development of (i) CVD (composite of myocardial infarction/stroke/coronary procedure) and (ii) diabetes. The main exposure variable was change in BMI from ART initiation (pre-ART) to 1 year after initiation (continuous variable) in treatment-naïve individuals initiating ART with no history of CVD or diabetes (for respective outcomes). BMI [weight (kg)/(height (m))(2)] was categorized as underweight (< 18.5), normal (18.5-25), overweight (25-30) and obese (> 30). Poisson regression models were fitted stratified for each pre-ART BMI category to allow for category-specific estimates of incidence rate ratio (IRR). Models were adjusted for pre-ART BMI and CD4 count, key known risk factors (time-updated where possible) and calendar year. RESULTS: A total of 97 CVD events occurred in 43,982 person-years (n = 9321) and 125 diabetes events in 43,278 person-years (n = 9193). In fully adjusted analyses for CVD, the IRR/unit gain in BMI (95% confidence interval) in the first year of ART, by pre-ART BMI category, was: underweight, 0.90 (0.60-1.37); normal, 1.18 (1.05-1.33); overweight, 0.87 (0.70-1.10), and obese, 0.95 (0.71-1.28) (P for interaction = 0.04). For diabetes, the IRR/unit gain in BMI was 1.11 (95% confidence interval 1.03 to 1.21), regardless of pre-ART BMI (P for interaction > 0.05). CONCLUSIONS: Short-term gain in BMI following ART initiation appeared to increase the longer term risk of CVD, but only in those with pre-ART BMI in the normal range. It was also associated with increased risk of diabetes regardless of pre-ART BMI.

Risk factors associated with incident sexually transmitted infections in HIV-positive patients in the Australian HIV Observational Database: a prospective cohort study.

OBJECTIVES: We established a subcohort of HIV-positive individuals from 10 sexual health clinics within the Australian HIV Observational Database (AHOD). The aim of this study was to assess demographic and other factors that might be associated with an incident sexually transmitted infection (STI). METHODS: The cohort follow-up was from March 2010 to March 2013, and included patients screened at least once for an STI. We used survival methods to determine time to first new and confirmed incident STI infection (chlamydia, gonorrhoea, syphilis or genital warts). Factors evaluated included sex, age, mode of HIV exposure, year of AHOD enrolment, hepatitis B or C coinfection, time-updated CD4 cell count, time-updated HIV RNA viral load, and prior STI diagnosis. RESULTS: There were 110 first incident STI diagnoses observed over 1015 person-years of follow-up, a crude rate of 10.8 [95% confidence interval (CI) 9.0-13.0] per 100 person-years. Factors independently associated with increased risk of incident STI included younger age [≥ 50 vs. 30-39 years old, adjusted hazards ratio (aHR) 0.4; 95% CI 0.2-0.8; P < 0.0001]; prior STI infection (aHR 2.5; 95% CI 1.6-3.8; P < 0.001), and heterosexual vs. men who have sex with men (MSM) as the likely route of exposure (aHR 0.2; 95% CI 0.1-0.6; P < 0.001). CONCLUSIONS: In this cohort of individualsbeing treated with antiretroviral drugs, those who were MSM, who were 30-39 years old, and who had a prior history of STI, were at highest risk of a further STI diagnosis.

Estimating the critical immunity threshold for preventing hepatitis A outbreaks in men who have sex with men.

Several outbreaks of hepatitis A in men who have sex with men (MSM) were reported in the 1980s and 1990s in Australia and other countries. An effective hepatitis A virus (HAV) vaccine has been available in Australia since 1994 and is recommended for high-risk groups including MSM. No outbreaks of hepatitis A in Australian MSM have been reported since 1996. In this study, we aimed to estimate HAV transmissibility in MSM populations in order to inform targets for vaccine coverage in such populations. We used mathematical models of HAV transmission in a MSM population to estimate the basic reproduction number (R 0) and the probability of an HAV epidemic occurring as a function of the immune proportion. We estimated a plausible range for R 0 of 1·71-3·67 for HAV in MSM and that sustained epidemics cannot occur once the proportion immune to HAV is greater than ~70%. To our knowledge this is the first estimate of R 0 and the critical population immunity threshold for HAV transmission in MSM. As HAV is no longer endemic in Australia or in most other developed countries, vaccination is the only means of maintaining population immunity >70%. Our findings provide impetus to promote HAV vaccination in high-risk groups such as MSM.

Clinical and demographic factors associated with low viral load in early untreated HIV infection in the INSIGHT Strategic Timing of AntiRetroviral Treatment (START) trial.

OBJECTIVES: A small subset of HIV-positive adults have low HIV RNA in the absence of therapy, sometimes for years. Clinical factors associated with low HIV RNA in early infection have not been well defined. METHODS: We assessed factors associated with low plasma HIV RNA level at study entry in the Strategic Timing of AntiRetroviral Treatment (START) trial. All START participants had a baseline HIV RNA assessment within 60 days prior to randomization. The key covariables considered for this analysis were race, and hepatitis B virus (HBV) and hepatitis C virus (HCV) status. We assessed factors associated with HIV RNA ≤ 50 and ≤ 400 HIV-1 RNA copies/mL using logistic regression. Because of the strong association between region of randomization and baseline low HIV RNA, analyses were stratified by region. RESULTS: We found that, of 4676 eligible participants randomized in START with a baseline HIV RNA assessment, 113 (2.4%) had HIV RNA ≤ 50 copies/mL at baseline, and a further 257 (5.5%) between 51 and 400 copies/mL. We found that HIV exposure routes other than male homosexual contact, higher high-density lipoprotein (HDL) cholesterol levels, higher CD4 cell counts, and higher CD4:CD8 ratio were associated with increased odds of low HIV RNA. HCV antibody positivity was borderline statistically significantly associated with low HIV RNA. Race and HBV surface antigen positivity were not significantly associated with low HIV RNA. CONCLUSIONS: In a modern cohort of individuals with early untreated HIV infection, we found that HIV exposure routes other than male homosexual contact and higher HDL cholesterol were associated with increased odds of low HIV RNA.

Pre-therapy inflammation and coagulation activation and long-term CD4 count responses to the initiation of antiretroviral therapy.

OBJECTIVES: Pre-antiretroviral therapy (ART) inflammation and coagulation activation predict clinical outcomes in HIV-positive individuals. We assessed whether pre-ART inflammatory marker levels predicted the CD4 count response to ART. METHODS: Analyses were based on data from the Strategic Management of Antiretroviral Therapy (SMART) trial, an international trial evaluating continuous vs. interrupted ART, and the Flexible Initial Retrovirus Suppressive Therapies (FIRST) trial, evaluating three first-line ART regimens with at least two drug classes. For this analysis, participants had to be ART-naïve or off ART at randomization and (re)starting ART and have C-reactive protein (CRP), interleukin-6 (IL-6) and D-dimer measured pre-ART. Using random effects linear models, we assessed the association between each of the biomarker levels, categorized as quartiles, and change in CD4 count from ART initiation to 24 months post-ART. Analyses adjusted for CD4 count at ART initiation (baseline), study arm, follow-up time and other known confounders. RESULTS: Overall, 1084 individuals [659 from SMART (26% ART naïve) and 425 from FIRST] met the eligibility criteria, providing 8264 CD4 count measurements. Seventy-five per cent of individuals were male with the mean age of 42 years. The median (interquartile range) baseline CD4 counts were 416 (350-530) and 100 (22-300) cells/µL in SMART and FIRST, respectively. All of the biomarkers were inversely associated with baseline CD4 count in FIRST but not in SMART. In adjusted models, there was no clear relationship between changing biomarker levels and mean change in CD4 count post-ART (P for trend: CRP, P = 0.97; IL-6, P = 0.25; and D-dimer, P = 0.29). CONCLUSIONS: Pre-ART inflammation and coagulation activation do not predict CD4 count response to ART and appear to influence the risk of clinical outcomes through other mechanisms than blunting long-term CD4 count gain.

A pilot comparison study of four clinician-rated atopic dermatitis severity scales.

BACKGROUND: There are multiple severity outcome measures for atopic dermatitis (AD). There is a need to compare the reliability of these measures. OBJECTIVES: To compare the inter-rater and intrarater reliability of the objective Scoring Atopic Dermatitis (oSCORAD), Eczema Area and Severity Index (EASI), Six Area, Six Sign Atopic Dermatitis (SASSAD) and Three Item Severity index (TIS); and to analyse the correlation between these outcome measures and the quality-of-life instruments Patient-Orientated Eczema Measurement, Dermatology Life Quality Index and Skindex-29. METHODS: Twelve patients with AD attended a 1-day scoring exercise by five trained dermatology clinicians. Inter-rater and intrarater reliability were assessed using the intraclass correlation coefficient (ICC). Correlation between clinician-rated and patient-reported measures was analysed using Spearman's rho. RESULTS: Regarding inter-rater reliability, EASI and SASSAD showed good reliabilities, with ICCs of 0·730 [95% confidence interval (CI) 0·500-0·900] and 0·680 (95% CI 0·440-0·880), respectively. However, the ICCs were poor for TIS and oSCORAD, with 0·497 (95% CI 0·233-0·785) and 0·498 (95% CI 0·234-0·785), respectively. Separate body surface area (BSA) component analyses showed that the oSCORAD BSA component contributed to its inter-rater variations. Regarding intrarater reliability, EASI and TIS showed excellent ICCs of 0·886 (95% CI 0·744-0·952) and 0·820 (0·614-0·923), respectively, while SASSAD showed a good reliability with an ICC of 0·720 (95% CI 0·424-0·878). However, the intrarater ICC was poor for oSCORAD, with 0·446 (95% CI 0·037-0·730). Regarding correlation with patient-reported measures, only SASSAD demonstrated moderate correlation with Skindex-29 (ρ = 0·611, P = 0·035). CONCLUSIONS: EASI demonstrated the highest inter-rater and intrarater reliability, supporting it as the optimal AD severity outcome measure.

Increased risk of cardiovascular disease (CVD) with age in HIV-positive men: a comparison of the D:A:D CVD risk equation and general population CVD risk equations.

OBJECTIVES: The aim of the study was to statistically model the relative increased risk of cardiovascular disease (CVD) per year older in Data collection on Adverse events of anti-HIV Drugs (D:A:D) and to compare this with the relative increased risk of CVD per year older in general population risk equations. METHODS: We analysed three endpoints: myocardial infarction (MI), coronary heart disease (CHD: MI or invasive coronary procedure) and CVD (CHD or stroke). We fitted a number of parametric age effects, adjusting for known risk factors and antiretroviral therapy (ART) use. The best-fitting age effect was determined using the Akaike information criterion. We compared the ageing effect from D:A:D with that from the general population risk equations: the Framingham Heart Study, CUORE and ASSIGN risk scores. RESULTS: A total of 24 323 men were included in analyses. Crude MI, CHD and CVD event rates per 1000 person-years increased from 2.29, 3.11 and 3.65 in those aged 40-45 years to 6.53, 11.91 and 15.89 in those aged 60-65 years, respectively. The best-fitting models included inverse age for MI and age + age(2) for CHD and CVD. In D:A:D there was a slowly accelerating increased risk of CHD and CVD per year older, which appeared to be only modest yet was consistently raised compared with the risk in the general population. The relative risk of MI with age was not different between D:A:D and the general population. CONCLUSIONS: We found only limited evidence of accelerating increased risk of CVD with age in D:A:D compared with the general population. The absolute risk of CVD associated with HIV infection remains uncertain.

Lower life expectancy among people with an HCV notification: a population-based linkage study.

Among people with hepatitis C virus (HCV) infection, liver disease-related deaths have risen over the last 20 years. Life expectancy has not been estimated in this population. HCV notifications (mandatory notification of anti-HCV-positive serology since 1991) reported to the New South Wales Health Department from 1992 to 2006 were linked to cause of death data. Abridged life tables were constructed from age-specific mortality rates. Life expectancy from ages 18-70 years for non-drug-related mortality causes was estimated using competing risk methods and compared to the general population of Australia. The cohort comprised 81 644 individuals with an HCV notification, with median follow-up of 7.6 years. Median age at notification was 34 years [interquartile range (IQR) 28-42] and 63% were male. Between 1992 and 2006, 4607 deaths occurred. Median age at liver- and drug-related death among males was 51 (IQR 45-66) and 36 (IQR 31-42) years, respectively, and among females was 63 (IQR 49-74) and 36 (IQR 30-41) years, respectively. In each year of follow-up before 2000, 15-21% of deaths were liver- and 30-39% were drug-related. After 2000, liver-related deaths increased to 20-26% of deaths in each year and drug-related deaths decreased to 13-19%. Excluding drug-related causes of death, life expectancy was lowered by an average of 4.2 (SD ± 1.0) and 5.4 (SD ± 0.7) years for males and females, respectively. Among people with an HCV notification, an increasing proportion of deaths are liver-related. Following removal of drug-related mortality, life expectancy in this population remained considerably lower, compared with the general population.

Cancer, immunodeficiency and antiretroviral treatment: results from the Australian HIV Observational Database (AHOD).

OBJECTIVES: The objective of the study was to conduct a within-cohort assessment of risk factors for incident AIDS-defining cancers (ADCs) and non-ADCs (NADCs) within the Australian HIV Observational Database (AHOD). METHODS: A total of 2181 AHOD registrants were linked to the National AIDS Registry/National HIV Database (NAR/NHD) and the Australian Cancer Registry to identify those with a notified cancer diagnosis. Included in the current analyses were cancers diagnosed after HIV infection. Risk factors for cancers were also assessed using logistic regression methods. RESULTS: One hundred and thirty-nine cancer cases were diagnosed after HIV infection among 129 patients. More than half the diagnoses (n = 68; 60%) were ADCs, of which 69% were Kaposi's sarcoma and 31% non-Hodgkin's lymphoma. Among the NADCs, the most common cancers were melanoma (n = 10), lung cancer (n = 6), Hodgkin's lymphoma (n = 5) and anal cancer (n = 5). Over a total of 21021 person-years (PY) of follow-up since HIV diagnosis, the overall crude cancer incidence rate for any cancer was 5.09/1000 PY. The overall rate of cancers decreased from 15.9/1000 PY [95% confidence interval (CI) 9.25-25.40/1000 PY] for CD4 counts < 100 cells/µL to 2.4/1000 PY (95% CI 1.62-3.39/1000 PY) for CD4 counts > 350 cells/µL. Lower CD4 cell count and prior AIDS diagnoses were significant predictors for both ADCs and NADCs. CONCLUSIONS: ADCs remain the predominant cancers in this population, although NADC rates have increased in the more recent time period. Immune deficiency is a risk factor for both ADCs and NADCs.

Ageing and long-term CD4 cell count trends in HIV-positive patients with 5 years or more combination antiretroviral therapy experience.

OBJECTIVES: The aim of this study was to describe the long-term changes in CD4 cell counts beyond 5 years of combination antiretroviral therapy (cART). If natural ageing leads to a long-term decline in the immune system via low-grade chronic immune activation/inflammation, then one might expect to see a greater or earlier decline in CD4 counts in older HIV-positive patients with increasing duration of cART. METHODS: Retrospective and prospective data were examined from long-term virologically stable HIV-positive adults from the Australian HIV Observational Database. We estimated mean CD4 cell count changes following the completion of 5 years of cART using linear mixed models. RESULTS: A total of 37 916 CD4 measurements were observed for 892 patients over a combined total of 9753 patient-years. Older patients (> 50 years old) at cART initiation had estimated mean (95% confidence interval) changes in CD4 counts by year-5 CD4 count strata (< 500, 500-750 and > 750 cells/µL) of 14 (7 to 21), 3 (-5 to 11) and -6 (-17 to 4) cells/µL/year. Of the CD4 cell count rates of change estimated, none were indicative of long-term declines in CD4 cell counts. CONCLUSIONS: Our results suggest that duration of cART and increasing age do not result in decreasing mean changes in CD4 cell counts for long-term virologically suppressed patients, indicating that the level of immune recovery achieved during the first 5 years of treatment is sustained through long-term cART.

Trends in incidence of hepatocellular carcinoma after diagnosis of hepatitis B or C infection: a population-based cohort study, 1992-2007.

Chronic hepatitis B virus (HBV) and hepatitis C virus (HCV) infections are the major risk factors for hepatocellular carcinoma (HCC). We examined trends in the incidence of HCC among a population-based cohort of people infected with HBV or HCV. HBV and HCV cases notified to the New South Wales Health Department between 1992 and 2007 were linked to the Central Cancer Registry, Registry of Births, Deaths and Marriages, and National HIV/AIDS Registries. Crude HCC incidence rates were estimated using person-time methodology. Age-standardized incidence rates were calculated using the 2001 Australian population. Trends in incidence were examined using join point regression models. Between 1992 and 2007, 1201 people had a linked HCC record: 556 of those with HBV; 592 with HCV; 45 with HBV/HCV co-infection; and 8 with HIV co-infection. The overall age-standardized HCC incidence rates declined non-significantly from 148.0 (95% confidence intervals (CI) 63.7, 287.4) per 100,000 population in 1995 to 101.2 (95% CI 67.3, 144.6) in 2007 among the HBV monoinfected group and significantly from 151.8 (95% CI 62.4, 299.8) per 100,000 population to 75.3 (95% CI 50.8, 105.5) among the HCV monoinfected group. However, incidence rates in the HCV monoinfected group progressively increased from the period 1992-1997 to 2004-2007 when adjusted for age, sex, and birth cohort, and the total number of cases per annum continued to increase. Despite declines in the age-adjusted incidence rates of HCC over time, the absolute number of cases increased likely due to the ageing cohort and an increasing prevalence of both hepatitis B and C in Australia.

Hospitalization rates associated with hepatitis B and HIV co-infection, age and sex in a population-based cohort of people diagnosed with hepatitis C.

To determine the extent age, sex and co-infection affect morbidity in people infected with hepatitis C virus (HCV), we performed a population-based study linking HCV notifications in New South Wales, Australia with their hospital (July 2000 to June 2006), hepatitis B virus (HBV) and HIV notification, and death records. Poisson models were used to calculate hospitalization rate ratios (RRs) for all-cause, illicit drug and liver-related admissions. Co-infection RRs were used to estimate attributable risk (AR). The 86 501 people notified with HCV contributed 422 761 person-years of observation; 0·8% had HIV, 3·7% HBV, and 0·04% had both. RRs for males were equal to or lower than for females in younger ages, but higher in older ages (P for interaction ⩽0·013). HBV/HIV co-infection resulted in ARs of over 70% for liver disease and 30-60% otherwise. However, at the cohort level the impact was minimal (population ARs 1·3-8·7%). Our findings highlight the importance and success of public health measures, such as needle and syringe exchange programmes, which have helped to minimize the prevalence of co-infection in Australia. The findings also suggest that the age of study participants needs to be considered whenever the burden of HCV-related morbidity is reported by sex. The results are likely to be representative of patterns in hospital-related morbidity for the entire HCV-infected population in Australia and the ARs generalizable to other developed countries.

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 (>or=51 cells/microL vs. or=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.

Atherosclerotic cardiovascular disease screening and management protocols among adult HIV clinics in Asia.

OBJECTIVES: Integration of HIV and non-communicable disease services improves the quality and efficiency of care in low- and middle-income countries (LMICs). We aimed to describe current practices for the screening and management of atherosclerotic cardiovascular disease (ASCVD) among adult HIV clinics in Asia. METHODS: Sixteen LMIC sites included in the International Epidemiology Databases to Evaluate AIDS - Asia-Pacific network were surveyed. RESULTS: Sites were mostly (81%) based in urban public referral hospitals. Half had protocols to assess tobacco and alcohol use. Protocols for assessing physical inactivity and obesity were in place at 31% and 38% of sites, respectively. Most sites provided educational material on ASCVD risk factors (between 56% and 75% depending on risk factors). A total of 94% reported performing routine screening for hypertension, 100% for hyperlipidaemia and 88% for diabetes. Routine ASCVD risk assessment was reported by 94% of sites. Protocols for the management of hypertension, hyperlipidaemia, diabetes, high ASCVD risk and chronic ischaemic stroke were in place at 50%, 69%, 56%, 19% and 38% of sites, respectively. Blood pressure monitoring was free for patients at 69% of sites; however, most required patients to pay some or all the costs for other ASCVD-related procedures. Medications available in the clinic or within the same facility included angiotensin-converting enzyme inhibitors (81%), statins (94%) and sulphonylureas (94%). CONCLUSION: The consistent availability of clinical screening, diagnostic testing and procedures and the availability of ASCVD medications in the Asian LMIC clinics surveyed are strengths that should be leveraged to improve the implementation of cardiovascular care protocols.

Effect of nucleoside reverse transcriptase inhibitors on CD4 T-cell recovery in HIV-1-infected individuals receiving long-term fully suppressive combination antiretroviral therapy.

OBJECTIVE: The aim of the study was to determine the effect of nucleoside reverse transcriptase inhibitors (NRTIs) on CD4 recovery in HIV-1-infected individuals receiving long-term suppressive combination antiretroviral therapy (cART). METHODS: A retrospective cohort study was carried out. The mean time-weighted CD4 change from baseline was determined at weeks 48, 96 and 144: its associations with exposure to NRTIs were assessed using linear regression. RESULTS: One hundred and five patients were included. Their median baseline CD4 count was 225 (interquartile range 91-362) cells/microL. A trend of greater CD4 change from baseline was observed for individuals who at baseline had CD4 counts >200 cells/microL (138 vs. 113, 176 vs. 134 and 204 vs. 173 cells/microL), or were 0.05. Lower CD4 increases were observed in patients exposed to didanosine (ddI) or a combination of ddI and stavudine, although the difference was not statistically significant. For patients that commenced cART with CD4 count