Australian HIV Observational Database Research Articles

Associations between change in BMI and the risk of hypertension and dyslipidaemia in people receiving integrase strand-transfer inhibitors, tenofovir alafenamide, or both compared with other contemporary antiretroviral regimens: a multicentre, prospective observational study from the RESPOND consortium cohorts

Integrase strand-transfer inhibitors (INSTIs) and tenofovir alafenamide have been associated with weight gain in several clinical trials and observational cohorts. However, whether weight gain associated with INSTIs and tenofovir alafenamide confers a higher risk of weight-related clinical events is unclear. We aimed to assess whether changes in BMI differentially increase hypertension or dyslipidaemia risk in people with HIV receiving INSTIs, tenofovir alafenamide, or both versus other contemporary regimens. This multicentre, prospective observational study analysed prospective data from RESPOND, an international consortium of HIV cohorts for which recruitment began in 2017 and is still ongoing from HIV clinics and hospitals in 37 European countries and Australia. Participants were eligible if they were aged 18 years or older, receiving INSTI-containing antiretroviral therapy (ART) regimens or a contemporary non-INSTI, did not have hypertension or dyslipidaemia at baseline, and had baseline and at least two follow-up BMI, lipid, and blood pressure measurements. We excluded participants without baseline CD4 or HIV RNA results and those receiving non-ART medications associated with weight changes, including antipsychotics and mood stabilisers, corticosteroids, insulin, and insulin secretagogues. They were followed up from baseline until the earliest hypertension or dyslipidaemia event, their last visit, or Dec 31, 2021, whichever was earlier. The primary outcomes were incidence of hypertension and dyslipidaemia, for which we used multivariable Poisson regression adjusted for time-updated BMI to determine unadjusted and adjusted incidence rate ratios (IRRs) of hypertension and dyslipidaemia in people receiving INSTIs, tenofovir alafenamide, or both, and tested for interaction between time-updated ART regimen and BMI. Of the 35 941 RESPOND participants, 9704 (7327 [75·5 %] male and 2377 [24·5%] female) were included in the hypertension analysis and 5231 (3796 [72·6%] male and 1435 [27·4%] female) were included in the dyslipidaemia analysis. In the univariable model, hypertension was more common in individuals receiving an INSTI with tenofovir alafenamide (IRR 1·70, 95% CI 1·54-1·88) or an INSTI without tenofovir alafenamide (1·41, 1·30-1·53) compared with those receiving neither INSTIs nor tenofovir alafenamide. Adjustment for time-updated BMI and confounders attenuated risk in participants receiving an INSTI with (IRR 1·48, 1·31-1·68) or without (1·25, 1·13-1·39) tenofovir alafenamide. Similarly, dyslipidaemia was more common in participants using tenofovir alafenamide with an INSTI (IRR 1·24, 1·10-1·40) and tenofovir alafenamide alone (1·22, 1·03-1·44) than in participants using neither INSTI nor tenofovir alafenamide. Adjustment for BMI and confounders attenuated the risk in participants receiving tenofovir alafenamide with an INSTI (adjusted IRR 1·21, 1·07-1·37), whereas the risk in those receiving tenofovir alafenamide alone became non-significant (1·15, 0·96-1·38). The associations between increasing BMI and risk of hypertension and dyslipidaemia did not differ between participants receiving different ART regimens (pinteraction=0·46 for hypertension; pinteraction=0·31 for dyslipidaemia). Although residual confounding cannot be entirely excluded, the use of INSTIs was associated with incident hypertension, and the use of tenofovir alafenamide was associated with dyslipidaemia, with the latter association partly mediated by weight gain. These results reiterate the need for hypertension and dyslipidaemia screening in people with HIV. The CHU St Pierre Brussels HIV Cohort, The Austrian HIV Cohort Study, The Australian HIV Observational Database, The AIDS Therapy Evaluation in the Netherlands national observational HIV cohort, The Brighton HIV Cohort, The National Croatian HIV Cohort, The EuroSIDA cohort, The Frankfurt HIV Cohort Study, The Georgian National AIDS Health Information System, The Nice HIV Cohort, The ICONA Foundation, The Modena HIV Cohort, The PISCIS Cohort Study, The Swiss HIV Cohort Study, The Swedish InfCare HIV Cohort, The Royal Free HIV Cohort Study, The San Raffaele Scientific Institute, The University Hospital Bonn HIV Cohort, The University of Cologne HIV Cohort, Merck Life Sciences, ViiV Healthcare, and Gilead Sciences.

Changes in atherosclerotic cardiovascular disease risk over time among people living with HIV.

To describe changes in atherosclerotic cardiovascular disease (ASCVD) risk over time among people living with HIV (PLHIV). We used data from the TREAT Asia HIV Observational Database (TAHOD) and the Australian HIV Observational Database (AHOD). Five-year ASCVD risk was calculated using the D:A:D equation. Individuals were eligible for inclusion if they were aged ≥18 years, had started ART, had no previous history of ASCVD and had complete ASCVD risk factor data available within the first 5 years of ART initiation. A total of 3368 adults contributed data, 3221 were from TAHOD and 147 were from AHOD. The median age at ART initiation was 36 [IQR 31-43] years for TAHOD participants, and 42 [IQR 35-50] years for AHOD participants. Most TAHOD (70.4%) and AHOD (91.8%) participants were male. Overall, ASCVD risk increased from 0.84% (95% CI 0.81%-0.87%) at ART initiation to 1.34% (95% CI 1.29%-1.39%) after 5 years on ART. After adjusting for traditional and HIV-associated ASCVD risk factors, ASCVD risk increased at a similar rate among sub-populations defined by HIV exposure (heterosexuals, men who have sex with men, people who inject drugs), race/ethnicity (Caucasian and Asian) and nadir CD4 at ART initiation (<200 and ≥200 cells/mm3). These findings emphasize the growing burden of ASCVD risk among PLHIV and the need to develop interventions that are effective across a broad range of HIV sub-populations.

Investigating rates and predictors of viral blips, low-level viraemia and virological failure in the Australian HIV observational database.

Australia has made significant progress towards achieving the UNAIDS's 95-95-95 cascade targets including HIV viral suppression. To investigate the burden of HIV viraemia, we assessed viral blips, low-level viraemia (LLV) and virologic failure (VF) in an Australian cohort. We studied the proportion of people with viral suppression, viral blips, LLV and VF in the Australian HIV observational database (AHOD) between 2010 and 2021. The association between blips or LLV, and VF was investigated using Cox regression, and predictors of viral blips and LLV were assessed using repeated-measured logistic regression. Among 2544 AHOD participants who were in follow-up and on antiretroviral therapy (ART) from 1 January 2010 (88.7% male), 444 had experienced VF (incidence rate: 2.45 [95% CI: 2.23-2.69] per 100 person-years [PY]) during 18,125 PY of follow-up (a median of 7.6 years). The proportion of people with VF decreased over time, whereas rates of blips and LLV remained stable. Participants with blips (hazard ratio, 2.89; 95% CI: 2.31-3.61) and LLV (4.46; 95% CI: 3.38-5.89) were at increased risk of VF. Hepatitis B co-infection, longer documented treatment interruption duration, younger age and lower CD4 at ART initiation, and protease inhibitors-based initial regimen were associated with an increased risk of VF. Common predictors of blips and LLV such as higher HIV-1 RNA and lower CD4 at ART initiation, longer treatment interruption, more VL testing and types of care settings (hospitals vs. sexual health services) were identified. Blips and LLV predict subsequent VF development. We identified important predictors of HIV viraemia including VF among individuals on INSTI-based regimens to help direct HIV management plans.

Associations between integrase strand-transfer inhibitors and cardiovascular disease in people living with HIV: a multicentre prospective study from the RESPOND cohort consortium

Although associations between older antiretroviral drug classes and cardiovascular disease in people living with HIV are well described, there is a paucity of data regarding a possible association with integrase strand-transfer inhibitors (INSTIs). We investigated whether exposure to INSTIs was associated with an increased incidence of cardiovascular disease. RESPOND is a prospective, multicentre, collaboration study between 17 pre-existing European and Australian cohorts and includes more than 32 000 adults living with HIV in clinical care after Jan 1, 2012. Individuals were eligible for inclusion in these analyses if they were older than 18 years, had CD4 cell counts and HIV viral load measurements in the 12 months before or within 3 months after baseline (latest of cohort enrolment or Jan 1, 2012), and had no exposure to INSTIs before baseline. These individuals were subsequently followed up to the earliest of the first cardiovascular disease event (ie, myocardial infarction, stroke, or invasive cardiovascular procedure), last follow-up, or Dec 31, 2019. We used multivariable negative binomial regression to assess associations between cardiovascular disease and INSTI exposure (0 months [no exposure] vs >0 to 6 months, >6 to 12 months, >12 to 24 months, >24 to 36 months, and >36 months), adjusted for cardiovascular risk factors. RESPOND is registered with ClinicalTrials.gov, NCT04090151, and is ongoing. 29 340 people living with HIV were included in these analyses, of whom 7478 (25·5%) were female, 21 818 (74·4%) were male, and 44 (<1%) were transgender, with a median age of 44·3 years (IQR 36·2-51·3) at baseline. As of Dec 31, 2019, 14 000 (47·7%) of 29 340 participants had been exposed to an INSTI. During a median follow-up of 6·16 years (IQR 3·87-7·52; 160 252 person-years), 748 (2·5%) individuals had a cardiovascular disease event (incidence rate of 4·67 events [95% CI 4·34-5·01] per 1000 person-years of follow-up). The crude cardiovascular disease incidence rate was 4·19 events (3·83-4·57) per 1000 person-years in those with no INSTI exposure, which increased to 8·46 events (6·58-10·71) per 1000 person-years in those with more than 0 months to 6 months of exposure, and gradually decreased with increasing length of exposure, until it decreased to similar levels of no exposure at more than 24 months of exposure (4·25 events [2·89-6·04] per 1000 person-years among those with >24 to 36 months of exposure). Compared with those with no INSTI exposure, the risk of cardiovascular disease was increased in the first 24 months of INSTI exposure and thereafter decreased to levels similar to those never exposed (>0 to 6 months of exposure: adjusted incidence rate ratio of 1·85 [1·44-2·39]; >6 to 12 months of exposure: 1·19 [0·84-1·68]; >12 to 24 months of exposure: 1·46 [1·13-1·88]; >24 to 36 months of exposure: 0·89 [0·62-1·29]; and >36 months of exposure: 0·96 [0·69-1·33]; p<0·0001). Although the potential for unmeasured confounding and channelling bias cannot fully be excluded, INSTIs initiation was associated with an early onset, excess incidence of cardiovascular disease in the first 2 years of exposure, after accounting for known cardiovascular disease risk factors. These early findings call for analyses in other large studies, and the potential underlying mechanisms explored further. The CHU St Pierre Brussels HIV Cohort, The Austrian HIV Cohort Study, The Australian HIV Observational Database, The AIDS Therapy Evaluation in the Netherlands National Observational HIV cohort, The EuroSIDA cohort, The Frankfurt HIV Cohort Study, The Georgian National AIDS Health Information System, The Nice HIV Cohort, The ICONA Foundation, The Modena HIV Cohort, The PISCIS Cohort Study, The Swiss HIV Cohort Study, The Swedish InfCare HIV Cohort, The Royal Free HIV Cohort Study, The San Raffaele Scientific Institute, The University Hospital Bonn HIV Cohort and The University of Cologne HIV Cohorts, ViiV Healthcare, and Gilead Sciences.

Contemporary antiretrovirals and body-mass index: a prospective study of the RESPOND cohort consortium.

Weight gain effects of individual antiretroviral drugs are not fully understood. We investigated associations between a prespecified clinically significant increase (>7%) in body-mass index (BMI) and contemporary antiretroviral use. The International Cohort Consortium of Infectious Diseases (RESPOND) is a prospective, multicohort collaboration, including data from 17 well established cohorts and over 29 000 people living with HIV. People with HIV under prospective follow-up from Jan 1, 2012, and older than 18 years were eligible for inclusion. Each cohort contributed a predefined minimum number of participants related to the size of the specific cohort (with a minimum of 1000 participants). Participants were required to have CD4 cell counts and HIV viral load measurement in the 12 months before or within 3 months after baseline. For all antiretroviral drugs received at or after RESPOND entry, changes from pre-antiretroviral BMI levels (baseline) were considered at each BMI measurement during antiretroviral treatment. We used logistic regression to identify individual antiretrovirals that were associated with first occurrence of a more than 7% increase in BMI from pre-antiretroviral BMI. We adjusted analyses for time on antiretrovirals, pre-antiretroviral BMI, demographics, geographical region, CD4 cell count, viral load, smoking status, and AIDS at baseline. 14 703 people were included in this study, of whom 7863 (53·5%) had a more than 7% increase in BMI. Compared with lamivudine, use of dolutegravir (odds ratio [OR] 1·27, 95% CI 1·17-1·38), raltegravir (1·37, 1·20-1·56), and tenofovir alafenamide (1·38, 1·22-1·35) was significantly associated with a more than 7% BMI increase, as was low pre-antiretroviral BMI (2·10, 1·91-2·31 for underweight vs healthy weight) and Black ethnicity (1·61, 1·47-1·76 vs White ethnicity). Higher CD4 count was associated with a reduced risk of BMI increase (0·97, 0·96-0·98 per 100 cells per μL increase). Relative to lamivudine, dolutegravir without tenofovir alafenamide (OR 1·21, 95% CI 1·19-1·32) and tenofovir alafenamide without dolutegravir (1·33, 1·15-1·53) remained independently associated with a more than 7% increase in BMI; the associations were higher when dolutegravir and tenofovir alafenamide were used concomitantly (1·79, 1·52-2·11, and 1·70, 1·44-2·01, respectively). Clinicians and people with HIV should be aware of associations between weight gain and use of dolutegravir, tenofovir alafenamide, and raltegravir, particularly given the potential consequences of weight gain, such as insulin resistance, dyslipidaemia, and hypertension. The CHU St Pierre Brussels HIV Cohort, The Austrian HIV Cohort Study, The Australian HIV Observational Database, The AIDS Therapy Evaluation in the Netherlands national observational HIV cohort, The EuroSIDA cohort, The Frankfurt HIV Cohort Study, The Georgian National AIDS Health Information System, The Nice HIV Cohort, The ICONA Foundation, The Modena HIV Cohort, The PISCIS Cohort Study, The Swiss HIV Cohort Study, The Swedish InfCare HIV Cohort, The Royal Free HIV Cohort Study, The San Raffaele Scientific Institute, The University Hospital Bonn HIV Cohort and The University of Cologne HIV Cohorts, ViiV Healthcare, and Gilead Sciences.

Trends in Follow-Up Visits Among People Living With HIV: Results From the TREAT Asia and Australian HIV Observational Databases.

Less frequent follow-up visits may reduce the burden on people living with HIV (PLHIV) and health care facilities. We aimed to assess trends in follow-up visits and survival outcomes among PLHIV in Asia and Australasia. PLHIV enrolled in TREAT Asia HIV Observational Database (TAHOD) or Australian HIV Observational Database (AHOD) from 2008 to 2017 were included. Follow-up visits included laboratory testing and clinic visit dates. Visit rates and survival were analyzed using repeated measure Poisson regression and competing risk regression, respectively. Additional analyses were limited to stable PLHIV with viral load <1000 copies/mL and self-reported adherence ≥95%. We included 7707 PLHIV from TAHOD and 3289 PLHIV from AHOD. Visit rates were 4.33 per person-years (/PYS) in TAHOD and 3.68/PYS in AHOD. Both TAHOD and AHOD showed decreasing visit rates in later calendar years compared with that in years 2008-2009 (P < 0.001 for both cohorts). Compared with PLHIV with 2 visits, those with ≥4 visits had poorer survival: TAHOD ≥4 visits, subhazard ratio (SHR) = 1.88, 95% confidence interval (CI): 1.16 to 3.03, P = 0.010; AHOD ≥4 visits, SHR = 1.80, 95% CI: 1.10 to 2.97, P = 0.020; whereas those with ≤1 visit showed no differences in mortality. The association remained evident among stable PLHIV: TAHOD ≥4 visits, SHR = 5.79, 95% CI: 1.84 to 18.24, P = 0.003; AHOD ≥4 visits, SHR = 2.15, 95% CI: 1.20 to 3.85, P = 0.010, compared with 2 visits. Both TAHOD and AHOD visit rates have declined. Less frequent visits did not affect survival outcomes; however, poorer health possibly leads to increased follow-up and higher mortality. Reducing visit frequency may be achievable among PLHIV with no other medical complications.

Clinical characteristics of overseas-born men who have sex with men (MSM) in the AHOD cohort and implications for clinical practice

In Australia HIV notifications are increasing among overseas-born men who have sex with men (MSM) and particularly among Asian-born MSM.1 Despite the ‘test and treat early’ paradigm in Australia, a...

Trends in mortality among ART-treated HIV-infected adults in the Asia-Pacific region between 1999 and 2017: results from the TREAT Asia HIV Observational Database (TAHOD) and Australian HIV Observational Database (AHOD) of IeDEA Asia-Pacific.

IntroductionAIDS‐related deaths in people living with HIV/AIDS have been decreasing in number since the introduction of combination antiretroviral treatment (cART). However, data on recent causes of death in the Asia‐Pacific region are limited. Hence, we analysed and compared AIDS‐related and non‐AIDS–related mortality in high‐ and low‐income settings in the region.MethodsPatients from the TREAT Asia HIV Observational Database (TAHOD) and Australian HIV Observational Database (AHOD) receiving cART between 1999 and 2017 were included. Causes of death verification were based on review of the standardized Cause of Death (CoDe) form designed by the D:A:D group. Cohorts were grouped as AHOD (all high‐income sites), TAHOD‐high (high/upper‐middle income countries) and TAHOD‐low (lower‐middle income countries). TAHOD sites were split into high/upper‐middle income and lower‐middle income country settings based on World Bank classifications. Competing risk regression was used to analyse factors associated with AIDS and non‐AIDS–related mortality.ResultsOf 10,386 patients, 522 died; 187 from AIDS‐related and 335 from non‐AIDS–related causes. The overall incidence rate of deaths during follow‐up was 0.28 per 100 person‐years (/100 PYS) for AIDS and 0.51/100 PYS for non‐AIDS. Analysis indicated that the incidence rate of non‐AIDS mortality decreased from 0.78/100 PYS to 0.37/100 PYS from year groups 2003 to 2007 to 2013 to 2017 (p < 0.001). Similarly, incidence rates of AIDS‐related deaths decreased from 0.51/100 PYS to 0.09/100 PYS from year groups 2003 to 2007 to 2013 to 2017 (p < 0.001). More recent years of follow‐up were associated with reduced hazard for non‐AIDS mortality (2008 to 2012: aSHR (adjusted sub‐hazard ratio) 0.72, 95% confidence interval (CI) 0.54 to 0.96, p = 0.027; 2013 to 2017: aSHR 0.64, 95% CI 0.47 to 0.87, p = 0.004) compared to years 2003 to 2007. The AHOD cohort had almost twice the hazard of non‐AIDS mortality compared to TAHOD‐low (lower‐middle income sites) (aSHR 1.72, 95% CI, 1.20 to 2.46, p = 0.003); there were no differences between cohorts for AIDS‐related mortality (p = 0.834).ConclusionAIDS and non‐AIDS–related mortality rates have decreased over the past years in the Asia‐Pacific region. There is a greater risk for non‐AIDS–associated deaths in the AHOD cohort compared to lower‐middle income settings in TAHOD.

Chronic kidney disease in Australian Human Immunodeficiency Virus-infected patients: Analysis of the Australian HIV Observational Database.

The aim of the present study was to examine data from the Australian HIV Observational Database (AHOD), and firstly, to describe the incidence of chronic kidney disease (CKD) and the rate of loss of renal function in HIV-infected individuals living in Australia, and then to examine the risk factors contributing to CKD in this population. AHOD patients over 18 years of age were eligible if they had at least two serum creatinine measurements from 1 April 2008 until 31 March 2016 and an initial estimated glomerular filtration rate (eGFR) greater than 60 mL/min per 1.73 m3 . Cox proportional hazards models were used to assess risk factors for CKD, which included key patient demographic data and antiretroviral therapy (ART) exposure. Of 1924 patients included in the analysis between April 2008 and March 2016, 81 (4.2%) developed CKD (confirmed eGFR of less than 60 mL/min per 1.73 m3 through two consecutive eGFR measurements at least 3 months apart). Of the examined risk factors, baseline age, baseline eGFR, and the route of HIV acquisition were statistically significant predictors of development of CKD. ART exposure, viral hepatitis co-infection, high viral load and low CD4 lymphocyte count were not found to be significant risk factors for CKD. This is the first study to investigate the risk factors for development of CKD among Australian HIV-infected patients using cohort data. It highlights the need for awareness of renal risk factors, particularly among older patients or in those with pre-existing renal dysfunction. Further research is required to explore the discrepancy between patients who have acquired HIV through different means of exposure.

National characteristics and trends in antiretroviral treatment in Australia can be accurately estimated using a large clinical cohort

ObjectivesCohort studies are often used as a national surveillance tool to monitor trends in HIV treatment and morbidity outcomes. However, there are limited studies validating the accuracy of using cohorts as a representation of the overall HIV-positive population. We compared data from a large Australian HIV-positive cohort study (Australian HIV Observational Database [AHOD]) and a 10% longitudinal sample from Australia's subsidized prescription medication scheme (Pharmaceutical Benefits Scheme [PBS]) to assess the use of cohorts for providing representative data for surveillance and monitoring purposes. Study Design and SettingBasic demographics and treatment information from July 1, 2013, to March 31, 2016, were divided into half-yearly periods to compare HIV trends between AHOD (n = 2,488) and PBS (n = 18,409) patients. ResultsIn both data sets, most patients were men, aged above 50 years, and primarily resided in New South Wales. Both data sets revealed a significant shift toward the increased use of integrase strand transfer inhibitors and a gradual decline in the use of protease inhibitors and nonnucleoside reverse-transcriptase inhibitors among the treated population in Australia. Similarly, a substantial increase in the use of once daily, single-tablet, fixed-dose combination regimens was also observed. ConclusionOur results show that observational cohort studies can serve as useful surrogate surveillance tools for monitoring patient characteristics and HIV treatment trends.

Retrospective study of hepatitis C outcomes and treatment in HIV co-infected persons from the Australian HIV Observational Database.

The widespread availability of direct-acting antivirals (DAAs) is expected to drastically improve the treatment uptake and cure rate of hepatitis C virus (HCV). In this paper, rates of and factors associated with HCV treatment uptake and cure in the HIV co-infected population in Australia were assessed before access to DAAs. The medical records of patients in the Australian HIV Observational Database who were reported to be HCV antibody positive from 1999 to 2014 were reviewed for HCV treatment data. Patients with detectable HCV RNA were included in this analysis. Logistic regression models were applied to identify factors associated with treatment uptake and HCV sustained virological response (SVR) 24 weeks' post treatment. The median follow-up time of those with chronic HCV/HIV co-infection was 103 months (interquartile range 51-166 months). Of 179 HCV viraemic patients, 79 (44.1%) began treatment. In the adjusted model, a higher METAVIR score was the only significant factor associated with treatment uptake (odds ratio (OR) 8.87, 95% confidence interval (CI) 2.00-39.3, P=0.004). SVR was achieved in 37 (50%) of 74 treated patients. HCV genotypes 2/3 compared with 1/4 remained the only significant factor for SVR in an adjusted multivariable setting (OR 5.44, 95% CI 1.53-19.4, P=0.009). HCV treatment uptake and SVR have been relatively low in the era of interferon-containing regimens, in Australian HIV/HCV coinfected patients. With new and better tolerated DAAs, treatment of HCV is likely to become more accessible, and identification and treatment of HCV in co-infected patients should become a priority.

CD4:CD8 ratio comparison between cohorts of HIV-positive Asians and Caucasians upon commencement of antiretroviral therapy.

In the era of effective antiretroviral treatment (ART) CD4:CD8 ratio is proposed as a potential marker for HIV-positive (HIV+) patients at increased risk for non-AIDS comorbidities. The current study aims to compare CD4:CD8 ratio between Asian and Caucasian HIV+ patients. HIV+ patients from the Australian HIV Observational Database (AHOD) and the TREAT Asia HIV Observational Database (TAHOD) meeting specific criteria were included. In these analyses Asian and Caucasian status were defined by cohort. Factors associated with a low CD4:CD8 ratio (cutoff <0.2) prior to ART commencement, and with achieving a normal CD4:CD8 ratio (>1) at 12 and 24 months post ART commencement were assessed using logistic regression. There were 591 patients from AHOD and 2,620 patients from TAHOD who met the inclusion criteria. TAHOD patients had a significantly (P<0.001) lower odds of having a baseline (prior to ART initiation) CD4:CD8 ratio greater than 0.2. After 12 months of ART, AHOD patients were more than twice as likely to achieve a normal CD4:CD8 ratio compared to TAHOD patients (15% versus 6%). However, after adjustment for confounding factors there was no significant difference between cohorts in the odds of achieving a CD4:CD8 ratio >1 (P=0.475). We found a significantly lower CD4:CD8 ratio prior to commencing ART in TAHOD compared to AHOD even after adjusting for confounders. However, after adjustment, there was no significant difference between the cohorts in odds of achieving normal ratio. Baseline CD4+ and CD8+ counts seem to be the main driver for this difference between these two populations.

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

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). 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. 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). 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.

Treatment durability and virological response in treatment-experienced HIV-positive patients on an integrase inhibitor-based regimen: an Australian cohort study.

Background: Integrase inhibitors (INSTI) are a newer class of antiretroviral (ARV) drugs that offer additional treatment options for experienced patients. Our aim is to describe treatment durability and virological outcomes in treatment-experienced HIV-positive patients using INSTI-based regimens. Methods: All patients in the Australian HIV Observational Database who had received an INSTI-based regimen ≥ 14 days as well as previous therapy were included in the study. We defined two groups of treatment-experienced patients: (1) those starting a second-line regimen with INSTI; and (2) highly experienced patients, defined as having prior exposure to all three main ARV classes, nucleoside reverse transcriptase inhibitor, nonnucleoside reverse transcriptase inhibitors and protease inhibitors, before commencing INSTI. Survival methods were used to determine time to viral suppression and treatment switch, stratified by patient treatment experience. Covariates of interest included age, gender, hepatitis B and C co-infection, previous antiretroviral treatment time, patient treatment experience and baseline viral load. Results: Time to viral suppression and regimen switching from INSTI initiation was similar for second-line and highly experienced patients. The probability of achieving viral suppression at 6 months was 77.7% for second-line patients and 68.4% for highly experienced patients. There were 60 occurrences of regimen switching away from INSTI observed over 1274.0 person-years, a crude rate of 4.71 (95% CI: 3.66-6.07) per 100 person-years. Patient treatment experience was not a significant factor for regimen switch according to multivariate analysis, adjusting for relevant covariates. Conclusions: We found that INSTI-based regimens were potent and durable in experienced HIV-positive patients receiving treatment outside clinical trials. These results confirm that INSTI-based regimens are a robust treatment option.

How do outcomes compare between women and men living with HIV in Australia? An observational study.

Background Gender differences vary across geographical settings and are poorly reported in the literature. The aim of this study was to evaluate demographics and clinical characteristics of participants from the Australian HIV Observational Database (AHOD), and to explore any differences between females and males in the rate of new clinical outcomes, as well as initial immunological and virological response to antiretroviral therapy. Time to a new clinical end-point, all-cause mortality and/or AIDS illness was analysed using standard survival methods. Univariate and covariate adjusted Cox proportional hazard models were used to evaluate the time to plasma viral load suppression in all patients that initiated antiretroviral therapy (ART) and time to switching from a first-line ART to a second-line ART regimen. There was no significant difference between females and males for the hazard of all-cause mortality [adjusted hazard ratio: 0.98 (0.51, 1.55), P=0.67], new AIDS illness [adjusted hazard ratio: 0.75 (0.38, 1.48), P=0.41] or a composite end-point [adjusted hazard ratio: 0.74 (0.45, 1.21), P=0.23]. Incident rates of all-cause mortality were similar between females and males; 1.14 (0.61, 1.95) vs 1.28 (1.12, 1.45) per 100 person years. Virological response to ART was similar for females and males when measured as time to viral suppression and/or time to virological failure. This study supports current Australian HIV clinical care as providing equivalent standards of care for male and female HIV-positive patients. Future studies should compare ART-associated toxicity differences between ART-associated toxicity differences between men and women living with HIV in Australia.

Treatment and disease outcomes of migrants from low- and middle-income countries in the Australian HIV Observational Database cohort

ABSTRACTPeople from culturally and linguistically diverse backgrounds, including low- and middle-income countries, account for a third of new HIV diagnoses in Australia and are a priority for HIV prevention and treatment programs. We describe the demographic and clinical characteristics of participants in the Australian HIV Observational Database (AHOD) and compare disease outcomes, progression to AIDS and treatment outcomes of those born in low- and middle-income countries, with those born in high-income countries and Australia. All participants enrolled in AHOD sites where country of birth is routinely collected were included in the study. Age, CD4 count, HIV viral load, antiretroviral therapy, hepatitis co-infection, all-cause mortality and AIDS illness were analysed. Of 2403 eligible participants, 77.3% were Australian born, 13.7% born in high-income countries and 9.0% born in middle- or low-income countries. Those born in Australia or high-income countries were more likely to be male (96%) than those from middle- or low-income countries (76%), p < .0001 and more likely to have acquired HIV via male to male sexual contact (77%; 79%) compared with those from middle- or low-income countries (50%), p < .0001. At enrolment, mean CD4 cell count was higher in Australian born (528 cells/µL) than both those born in high-income countries (468 cells/µL) and those born in middle- and low-income countries (451 cells/µL), p < .0001; whereas the mean HIV RNA level (log10 copies/mL) was similar in all three groups (4.44, 4.76 and 4.26, respectively), p = .19.There was no difference in adjusted incidence risk ratios for all-cause mortality and AIDS incidence in all three groups, p = .39. These findings reflect successful outcomes of people born in low- and middle-income countries once engaged in HIV care.

Antiretroviral treatment use, co-morbidities and clinical outcomes among Aboriginal participants in the Australian HIV Observational Database (AHOD).

BackgroundThere are few data regarding clinical care and outcomes of Indigenous Australians living with HIV and it is unknown if these differ from non-Indigenous HIV-positive Australians.MethodsAHOD commenced enrolment in 1999 and is a prospective cohort of HIV-positive participants attending HIV outpatient services throughout Australia, of which 20 (74 %) sites report Indigenous status. Data were collected up until March 2013 and compared between Indigenous and non-Indigenous participants. Person-year methods were used to compare death rates, rates of loss to follow-up and rates of laboratory testing during follow-up between Indigenous and non-Indigenous participants. Factors associated with time to first combination antiretroviral therapy (cART) regimen change were assessed using Kaplan Meier and Cox Proportional hazards methods.ResultsForty-two of 2197 (1.9 %) participants were Indigenous. Follow-up amongst Indigenous and non-Indigenous participants was 332 & 16270 person-years, respectively. HIV virological suppression was achieved in similar proportions of Indigenous and non-Indigenous participants 2 years after initiation of cART (81.0 % vs 76.5 %, p = 0.635). Indigenous status was not independently associated with shorter time to change from first- to second-line cART (aHR 0.95, 95 % CI 0.51-1.76, p = 0.957). Compared with non-Indigenous participants, Indigenous participants had significantly less frequent laboratory monitoring of CD4 count (rate:2.76 tests/year vs 2.97 tests/year, p = 0.025) and HIV viral load (rate:2.53 tests/year vs 2.93 tests/year, p < 0.001), while testing rates for lipids and blood glucose were almost half that of non-indigenous participants (rate:0.43/year vs 0.71 tests/year, p < 0.001). Loss to follow-up (23.8 % vs 29.8 %, p = 0.496) and death (2.4 % vs 7.1 %, p = 0.361) occurred in similar proportions of indigenous and non-Indigenous participants, respectively, although causes of death in both groups were mostly non-HIV-related.ConclusionsAs far as we are aware, these are the first data comparing clinical outcomes between Indigenous and non-Indigenous HIV-positive Australians. The forty-two Indigenous participants represent over 10 % of all Indigenous Australians ever diagnosed with HIV. Although outcomes were not significantly different, Indigenous patients had lower rates of laboratory testing for HIV and lipid/glucose parameters. Given the elevated risk of cardiovascular disease in the general Indigenous community, the additional risk factor of HIV infection warrants further focus on modifiable risk factors to maximise life expectancy in this population.

Subsidized optimal ART for HIV-positive temporary residents of Australia improves virological outcomes: results from the Australian HIV Observational Database Temporary Residents Access Study.

IntroductionHIV-positive (HIV+) temporary residents living in Australia legally are unable to access government subsidized antiretroviral treatment (ART) which is provided via Medicare to Australian citizens and permanent residents. Currently, there is no information systematically being collected on non-Medicare eligible HIV+ patients in Australia. The objectives of this study are to describe the population recruited to the Australian HIV Observational Database (AHOD) Temporary Residents Access Study (ATRAS) and to determine the short- and long-term outcomes of receiving (subsidized) optimal ART and the impact on onwards HIV transmission.MethodsATRAS was established in 2011. Eligible patients were recruited via the AHOD network. Key HIV-related characteristics were recorded at baseline and prospectively. Additional visa-related information was also recorded at baseline, and updated annually. Descriptive statistics were used to describe the ATRAS cohort in terms of visa status by key demographic characteristics, including sex, region of birth, and HIV disease status. CD4 cell count (mean and SD) and the proportion with undetectable (<50 copies/ml) HIV viral load are reported at baseline, 6 and 12 months of follow-up. We also estimate the proportion reduction of onward HIV transmission based on the reduction in proportion of people with detectable HIV viral load.ResultsA total of 180 patients were recruited to ATRAS by June 2012, and by July 2013 39 patients no longer required ART via ATRAS, 35 of whom became eligible for Medicare-funded medication. At enrolment, 63% of ATRAS patients were receiving ART from alternative sources, 47% had an undetectable HIV viral load (<50 copies/ml) and the median CD4 cell count was 343 cells/µl (IQR: 222–479). At 12 months of follow-up, 85% had an undetectable viral load. We estimated a 75% reduction in the risk of onward HIV transmission with the improved rate of undetectable viral load.ConclusionsThe immunological and virological improvements highlight the importance of supplying optimal ART to this vulnerable population. The increase in proportion with undetectable HIV viral load shows the potentially significant impact on HIV transmission in addition to the personal health benefit for each individual.

Temporal trends of time to antiretroviral treatment initiation, interruption and modification: examination of patients diagnosed with advanced HIV in Australia.

IntroductionHIV prevention strategies are moving towards reducing plasma HIV RNA viral load in all HIV-positive persons, including those undiagnosed, treatment naïve, on or off antiretroviral therapy. A proxy population for those undiagnosed are patients that present late to care with advanced HIV. The objectives of this analysis are to examine factors associated with patients presenting with advanced HIV, and establish rates of treatment interruption and modification after initiating ART.MethodsWe deterministically linked records from the Australian HIV Observational Database to the Australian National HIV Registry to obtain information related to HIV diagnosis. Logistic regression was used to identify factors associated with advanced HIV diagnosis. We used survival methods to evaluate rates of ART initiation by diagnosis CD4 count strata and by calendar year of HIV diagnosis. Cox models were used to determine hazard of first ART treatment interruption (duration >30 days) and time to first major ART modification.ResultsFactors associated (p<0.05) with increased odds of advanced HIV diagnosis were sex, older age, heterosexual mode of HIV exposure, born overseas and rural–regional care setting. Earlier initiation of ART occurred at higher rates in later periods (2007–2012) in all diagnosis CD4 count groups. We found an 83% (69, 91%) reduction in the hazard of first treatment interruption comparing 2007–2012 versus 1996–2001 (p<0.001), and no difference in ART modification for patients diagnosed with advanced HIV.ConclusionsRecent HIV diagnoses are initiating therapy earlier in all diagnosis CD4 cell count groups, potentially lowering community viral load compared to earlier time periods. We found a marked reduction in the hazard of first treatment interruption, and found no difference in rates of major modification to ART by HIV presentation status in recent periods.

HIV and aging: insights from the Asia Pacific HIV Observational Database (APHOD).

The proportion of people living with HIV/AIDS in the ageing population (>50 years old) is increasing. We aimed to explore the relationship between older age and treatment outcomes in HIV-positive persons from the Asia Pacific region. Patients from the Australian HIV Observational Database (AHOD) and the TREAT Asia HIV Observational Database (TAHOD) were included in the analysis. We used survival methods to assess the association between older age and all-cause mortality, as well as time to treatment modification. We used regression analyses to evaluate changes in CD4 counts after combination antiretroviral therapy (cART) initiation and determined the odds of detectable viral load, up to 24 months of treatment. A total of 7142 patients were included in these analyses (60% in TAHOD and 40% in AHOD), of whom 25% were >50 years old. In multivariable analyses, those aged > 50 years were at least twice as likely to die as those aged 30-39 years [hazard ratio (HR) for 50-59 years: 2.27; 95% confidence interval (CI) 1.34-3.83; HR for > 60 years: 4.28; 95% CI 2.42-7.55]. The effect of older age on CD4 count changes was insignificant (p-trend=0.06). The odds of detectable viral load after cART initiation decreased with age (p-trend=< 0.0001). The effect of older age on time to first treatment modification was insignificant (p-trend=0.21). We found no statistically significant differences in outcomes between AHOD and TAHOD participants for all endpoints examined. The associations between older age and typical patient outcomes in HIV-positive patients from the Asia Pacific region are similar in AHOD and TAHOD. Our data indicate that 'age effects' traverse the resource-rich and resource-limited divide and that future ageing-related findings might be applicable to each setting.