| Literature DB >> 25680919 |
Kathy Petoumenos1, Jo Watson2, Bill Whittaker2, Jennifer Hoy3, Don Smith4,5, Lisa Bastian6, Robert Finlayson7, Andrew Sloane8, Stephen T Wright9, Hamish McManus9, Matthew G Law9.
Abstract
INTRODUCTION: HIV-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.Entities:
Keywords: HIV-positive; antiretroviral therapy; temporary residents; treatment access
Mesh:
Substances:
Year: 2015 PMID: 25680919 PMCID: PMC4327894 DOI: 10.7448/IAS.18.1.19392
Source DB: PubMed Journal: J Int AIDS Soc ISSN: 1758-2652 Impact factor: 5.396
Patient baseline characteristics
| Female | Male | Total | ||||
|---|---|---|---|---|---|---|
|
| % |
| % |
| % | |
| Total | 47 | 133 | 180 | |||
| Mean age (SD) | 35.0 | (6.77) | 35.2 | (9.40) | 35.1 | (8.77) |
| AHOD clinic type | ||||||
| General practice | 5 | 10.6 | 44 | 33.1 | 49 | 27.2 |
| Tertiary referral centre | 19 | 40.4 | 30 | 22.6 | 49 | 27.2 |
| Sexual health clinic | 23 | 48.9 | 59 | 44.4 | 82 | 45.6 |
| Visa type | ||||||
| Bridging | 2 | 4.3 | 24 | 18.0 | 26 | 14.4 |
| Other | 11 | 23.4 | 12 | 9.0 | 23 | 12.8 |
| Spouse | 10 | 21.3 | 6 | 4.5 | 16 | 8.9 |
| Student | 15 | 31.9 | 45 | 33.8 | 60 | 33.3 |
| Working | 9 | 19.1 | 46 | 34.6 | 55 | 30.6 |
| Region | ||||||
| Asia/SE Asia | 21 | 44.7 | 61 | 45.9 | 82 | 45.6 |
| Europe | 0 | 0.0 | 16 | 12.0 | 16 | 8.9 |
| North America | 1 | 2.1 | 9 | 6.8 | 10 | 5.6 |
| South America | 1 | 2.1 | 18 | 13.5 | 19 | 10.6 |
| South pacific | 9 | 19.1 | 10 | 7.5 | 19 | 10.6 |
| Sub-Saharan Africa | 15 | 31.9 | 19 | 14.3 | 34 | 18.9 |
| World bank criteria | ||||||
| High income | 2 | 4.3 | 33 | 24.8 | 35 | 19.4 |
| Upper-middle income | 17 | 36.2 | 58 | 43.6 | 75 | 41.7 |
| Lower-middle income | 20 | 42.6 | 30 | 22.6 | 50 | 27.8 |
| Low income | 8 | 17.0 | 12 | 9.0 | 20 | 11.1 |
| HIV exposure category | ||||||
| MSM (+MSM/IDU) | 0 | 0.0 | 89 | 66.9 | 89 | 49.4 |
| Heterosexual | 40 | 85.1 | 30 | 22.6 | 70 | 38.9 |
| Other/missing | 7 | 14.9 | 14 | 10.5 | 21 | 11.7 |
| Baseline CD4 cells/µl | ||||||
| <200 | 8 | 17.0 | 22 | 16.5 | 30 | 16.7 |
| ≥200 and <350 | 12 | 25.5 | 41 | 30.8 | 53 | 29.4 |
| ≥350 | 23 | 48.9 | 56 | 42.1 | 79 | 43.9 |
| Missing | 4 | 8.5 | 14 | 10.5 | 18 | 10.0 |
| Mean (SD) | 349 | (185) | 378 | (238) | 370 | (225) |
| Median (IQR) | 360 | (238–470) | 340 | (220–480) | 343 | (222–479) |
| HIV viral load | ||||||
| Undetectable (≤50 copies/ml) | 21 | 44.7 | 54 | 40.6 | 75 | 41.7 |
| Detectable | 21 | 44.7 | 63 | 47.4 | 84 | 46.7 |
| Missing | 5 | 10.6 | 16 | 12.0 | 21 | 11.7 |
| Mean (SD) | 122,043 | (600,178) | 57,357 | (135,360) | 74,444 | (328,243) |
| Median (IQR) | 60 | (40–2607) | 150 | (40–67,353) | 85 | (40–4290) |
| No prior ART | 12 | 25.5 | 55 | 41.4 | 67 | 37.2 |
| Prior ART | 35 | 74.5 | 78 | 58.6 | 113 | 62.8 |
| ART source | ||||||
| Compassionate access | 12 | 34.3 | 13 | 16.7 | 25 | 22.1 |
| Country | 17 | 48.6 | 36 | 46.2 | 53 | 46.9 |
| Full paying | 1 | 2.9 | 0 | 0.0 | 1 | 0.9 |
| Trial | 2 | 5.7 | 11 | 14.1 | 13 | 11.5 |
| Other/unknown | 3 | 14.3 | 18 | 35.9 | 21 | 29.2 |
Undetectable HIV viral load (<50 copies/ml) at baseline, 6 and 12 months
| Baseline | 6 months | 12 months | ||||
|---|---|---|---|---|---|---|
| ( | ( | ( | ||||
|
| % |
| % |
| % | |
| Total | 75 | 47.2 | 120 | 87 | 106 | 88.3 |
| Female | 21 | 50 | 29 | 80.6 | 26 | 81.3 |
| Male | 54 | 46.2 | 91 | 89.2 | 80 | 90.9 |
| Visa type | ||||||
| Bridging | 14 | 60.9 | 16 | 94.1 | 19 | 86.4 |
| Other | 12 | 60 | 16 | 88.9 | 13 | 81.3 |
| Spouse | 6 | 40 | 10 | 71.4 | 7 | 77.8 |
| Student | 21 | 38.9 | 39 | 86.7 | 33 | 97.1 |
| Working | 22 | 46.8 | 39 | 88.6 | 34 | 87.2 |
| Region | ||||||
| Asia/SE Asia | 31 | 41.9 | 57 | 85.1 | 47 | 90.4 |
| Europe | 7 | 50 | 13 | 100 | 13 | 100 |
| North America | 5 | 62.5 | 6 | 85.7 | 4 | 66.7 |
| South America | 5 | 27.8 | 13 | 100 | 13 | 100 |
| South Pacific | 8 | 57.1 | 8 | 72.7 | 10 | 76.9 |
| Sub-Saharan Africa | 19 | 61.3 | 23 | 85.2 | 19 | 82.6 |
| Prior ART | 74 | 71.8 | 79 | 94 | 71 | 91 |
| Baseline CD4 (cells/µl) | ||||||
| <200 | 7 | 24.1 | 19 | 76 | 16 | 80 |
| ≥200 and<350 | 13 | 25.5 | 41 | 87.2 | 31 | 88.6 |
| ≥350 | 55 | 70.5 | 53 | 91.4 | 51 | 89.5 |
| Missing | 0 | 0 | 7 | 87.5 | 8 | 100 |
Number with HIV viral load measure within 12 months prior to enrolment
number with HIV viral load measure within 2 months of a 6- month window
number with HIV viral load measure within 3 months of a 12-month window.
Mean change in CD4 cell count at 6 and 12 months of follow-up
| 6 months | 12 months | |||
|---|---|---|---|---|
| Mean | SD | Mean | SD | |
| Total | 87 | 138 | 119 | 165 |
| Female | 54 | 132 | 110 | 160 |
| Male | 99 | 139 | 123 | 167 |
| Baseline CD4 (cells/µl) | ||||
| <200 | 103 | 90 | 143 | 105 |
| ≥200 and<350 | 118 | 147 | 171 | 157 |
| ≥350 | 58 | 143 | 78 | 177 |
| Visa type | ||||
| Bridging | 79 | 200 | 84 | 227 |
| Other | 49 | 74 | 158 | 104 |
| Spouse | 58 | 107 | 93 | 132 |
| Student | 115 | 134 | 142 | 150 |
| Working | 85 | 136 | 106 | 167 |
| Region | ||||
| Asia/SE Asia | 90 | 150 | 122 | 176 |
| Europe | 104 | 99 | 138 | 170 |
| North America | 15 | 189 | 99 | 133 |
| South America | 160 | 143 | 174 | 131 |
| South Pacific | 36 | 107 | 119 | 131 |
| Sub-Saharan Africa | 71 | 104 | 76 | 177 |
| No prior ART | 120 | 112 | 187 | 115 |
| Prior ART | 68 | 149 | 87 | 176 |
Includes only patients with baseline and follow-up measures.
Figure 1Time for coming off ATRAS-supplied ART.