1. Temporal trends of time to antiretroviral treatment initiation, interruption and modification: Examination of patients diagnosed with advanced HIV in Australia
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Wright, ST, Law, MG, Cooper, DA, Keen, P, McDonald, A, Middleton, M, Woolley, I, Kelly, M, Petoumenos, K, Ellis, D, Bloch, M, Agrawal, S, Vincent, T, Allen, D, Little, JL, Smith, D, Mincham, C, Baker, D, Ieroklis, V, Templeton, DJ, O'Connor, CC, Phan, S, Jackson, E, McCallum, K, Grotowski, M, Taylor, S, Carr, A, Lee, F, Hesse, K, Sinn, K, Norris, R, Finlayson, R, Prone, I, Patel, A, Varma, R, Shakeshaft, J, Brown, K, McGrath, V, Halligan, S, Wray, L, Read, P, Lu, H, Couldwell, D, Furner, V, Fernando, S, Chuah, J, Watson, J, Lawrence, C, Mulhall, B, McManus, H, Bendall, C, Boyd, M, Ryder, N, Payne, R, Russell, D, Doyle-Adams, S, Sowden, D, Taing, K, McGill, K, Orth, D, Youds, D, Gibson, A, Magon, H, Dickson, B, Donohue, W, Moore, R, Edwards, S, Liddle, R, Locke, P, Roth, NJ, Lau, H, Read, T, Silvers, J, Zeng, W, Hoy, J, Watson, K, Bryant, M, Price, S, Giles, M, Williams, J, Nolan, D, Robinson, J, Morwood, K, Roth, N, Choong, K, Li, PCK, Lee, MP, Vanar, S, Faridah, S, Kamarulzaman, A, Choi, JY, Vannary, B, Ditangco, R, Tsukada, K, Pujari, S, Makane, A, Ng, OT, and Sasisopin, AJ
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Adult ,Male ,Logistic Models ,Time Factors ,Anti-HIV Agents ,Australia ,Humans ,HIV Infections ,Female ,Viral Load ,Middle Aged ,CD4 Lymphocyte Count ,Aged - Abstract
© 2015 Wright ST et al; licensee International AIDS Society. Introduction: HIV 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. Methods: We 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. Results: Factors associated (p
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- 2015