Trends in detectable viral load by calendar year in the Australian HIV observational database

Matthew Law, Ian Woolley, David Templeton, Norman Roth, John Chuah, Brian Mulhall, Peter Canavan, Hamish McManus, David Cooper, Kathy Petoumenos

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Abstract

Recent papers have suggested that expanded combination antiretroviral treatment (cART) through lower viral load may be a strategy to reduce HIV transmission at a population level. We assessed calendar trends in detectable viral load in patients recruited to the Australian HIV Observational Database who were receiving cART. METHODS: Patients were included in analyses if they had started cART (defined as three or more antiretrovirals) and had at least one viral load assessment after 1 January 1997. We analyzed detectable viral load (>400 copies/ml) in the first and second six months of each calendar year while receiving cART. Repeated measures logistic regression methods were used to account for within and between patient variability. Rates of detectable viral load were predicted allowing for patients lost to follow up.
Original languageEnglish
Article number10
Pages (from-to)1 - 7
Number of pages7
JournalJournal of the International AIDS Society
Volume14
DOIs
Publication statusPublished - 2011

Cite this

Law, Matthew ; Woolley, Ian ; Templeton, David ; Roth, Norman ; Chuah, John ; Mulhall, Brian ; Canavan, Peter ; McManus, Hamish ; Cooper, David ; Petoumenos, Kathy. / Trends in detectable viral load by calendar year in the Australian HIV observational database. In: Journal of the International AIDS Society. 2011 ; Vol. 14. pp. 1 - 7.
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abstract = "Recent papers have suggested that expanded combination antiretroviral treatment (cART) through lower viral load may be a strategy to reduce HIV transmission at a population level. We assessed calendar trends in detectable viral load in patients recruited to the Australian HIV Observational Database who were receiving cART. METHODS: Patients were included in analyses if they had started cART (defined as three or more antiretrovirals) and had at least one viral load assessment after 1 January 1997. We analyzed detectable viral load (>400 copies/ml) in the first and second six months of each calendar year while receiving cART. Repeated measures logistic regression methods were used to account for within and between patient variability. Rates of detectable viral load were predicted allowing for patients lost to follow up.",
author = "Matthew Law and Ian Woolley and David Templeton and Norman Roth and John Chuah and Brian Mulhall and Peter Canavan and Hamish McManus and David Cooper and Kathy Petoumenos",
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Law, M, Woolley, I, Templeton, D, Roth, N, Chuah, J, Mulhall, B, Canavan, P, McManus, H, Cooper, D & Petoumenos, K 2011, 'Trends in detectable viral load by calendar year in the Australian HIV observational database', Journal of the International AIDS Society, vol. 14, 10, pp. 1 - 7. https://doi.org/10.1186/1758-2652-14-10

Trends in detectable viral load by calendar year in the Australian HIV observational database. / Law, Matthew; Woolley, Ian; Templeton, David; Roth, Norman; Chuah, John; Mulhall, Brian; Canavan, Peter; McManus, Hamish; Cooper, David; Petoumenos, Kathy.

In: Journal of the International AIDS Society, Vol. 14, 10, 2011, p. 1 - 7.

Research output: Contribution to journalArticleResearchpeer-review

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T1 - Trends in detectable viral load by calendar year in the Australian HIV observational database

AU - Law, Matthew

AU - Woolley, Ian

AU - Templeton, David

AU - Roth, Norman

AU - Chuah, John

AU - Mulhall, Brian

AU - Canavan, Peter

AU - McManus, Hamish

AU - Cooper, David

AU - Petoumenos, Kathy

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AB - Recent papers have suggested that expanded combination antiretroviral treatment (cART) through lower viral load may be a strategy to reduce HIV transmission at a population level. We assessed calendar trends in detectable viral load in patients recruited to the Australian HIV Observational Database who were receiving cART. METHODS: Patients were included in analyses if they had started cART (defined as three or more antiretrovirals) and had at least one viral load assessment after 1 January 1997. We analyzed detectable viral load (>400 copies/ml) in the first and second six months of each calendar year while receiving cART. Repeated measures logistic regression methods were used to account for within and between patient variability. Rates of detectable viral load were predicted allowing for patients lost to follow up.

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