Cargando…
Trends in detectable viral load by calendar year in the Australian HIV observational database
BACKGROUND: 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 Observation...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
The International AIDS Society
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3050783/ https://www.ncbi.nlm.nih.gov/pubmed/21345234 http://dx.doi.org/10.1186/1758-2652-14-10 |
_version_ | 1782199390639751168 |
---|---|
author | Law, Matthew G Woolley, Ian Templeton, David J Roth, Norm Chuah, John Mulhall, Brian Canavan, Peter McManus, Hamish Cooper, David A Petoumenos, Kathy |
author_facet | Law, Matthew G Woolley, Ian Templeton, David J Roth, Norm Chuah, John Mulhall, Brian Canavan, Peter McManus, Hamish Cooper, David A Petoumenos, Kathy |
author_sort | Law, Matthew G |
collection | PubMed |
description | BACKGROUND: 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. RESULTS: Analyses were based on 2439 patients and 31,339 viral load assessments between 1 January 1997 and 31 March 2009. Observed detectable viral load in patients receiving cART declined to 5.3% in the first half of 2009. Predicted detectable viral load based on multivariate models, allowing for patient loss to follow up, also declined over time, but at higher levels, to 13.8% in 2009. CONCLUSIONS: Predicted detectable viral load in Australian HIV Observational Database patients receiving cART declined over calendar time, albeit at higher levels than observed. However, over this period, HIV diagnoses and estimated HIV incidence increased in Australia. |
format | Text |
id | pubmed-3050783 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | The International AIDS Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-30507832011-03-09 Trends in detectable viral load by calendar year in the Australian HIV observational database Law, Matthew G Woolley, Ian Templeton, David J Roth, Norm Chuah, John Mulhall, Brian Canavan, Peter McManus, Hamish Cooper, David A Petoumenos, Kathy J Int AIDS Soc Research BACKGROUND: 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. RESULTS: Analyses were based on 2439 patients and 31,339 viral load assessments between 1 January 1997 and 31 March 2009. Observed detectable viral load in patients receiving cART declined to 5.3% in the first half of 2009. Predicted detectable viral load based on multivariate models, allowing for patient loss to follow up, also declined over time, but at higher levels, to 13.8% in 2009. CONCLUSIONS: Predicted detectable viral load in Australian HIV Observational Database patients receiving cART declined over calendar time, albeit at higher levels than observed. However, over this period, HIV diagnoses and estimated HIV incidence increased in Australia. The International AIDS Society 2011-02-23 /pmc/articles/PMC3050783/ /pubmed/21345234 http://dx.doi.org/10.1186/1758-2652-14-10 Text en Copyright ©2011 Law et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Law, Matthew G Woolley, Ian Templeton, David J Roth, Norm Chuah, John Mulhall, Brian Canavan, Peter McManus, Hamish Cooper, David A Petoumenos, Kathy Trends in detectable viral load by calendar year in the Australian HIV observational database |
title | Trends in detectable viral load by calendar year in the Australian HIV observational database |
title_full | Trends in detectable viral load by calendar year in the Australian HIV observational database |
title_fullStr | Trends in detectable viral load by calendar year in the Australian HIV observational database |
title_full_unstemmed | Trends in detectable viral load by calendar year in the Australian HIV observational database |
title_short | Trends in detectable viral load by calendar year in the Australian HIV observational database |
title_sort | trends in detectable viral load by calendar year in the australian hiv observational database |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3050783/ https://www.ncbi.nlm.nih.gov/pubmed/21345234 http://dx.doi.org/10.1186/1758-2652-14-10 |
work_keys_str_mv | AT lawmatthewg trendsindetectableviralloadbycalendaryearintheaustralianhivobservationaldatabase AT woolleyian trendsindetectableviralloadbycalendaryearintheaustralianhivobservationaldatabase AT templetondavidj trendsindetectableviralloadbycalendaryearintheaustralianhivobservationaldatabase AT rothnorm trendsindetectableviralloadbycalendaryearintheaustralianhivobservationaldatabase AT chuahjohn trendsindetectableviralloadbycalendaryearintheaustralianhivobservationaldatabase AT mulhallbrian trendsindetectableviralloadbycalendaryearintheaustralianhivobservationaldatabase AT canavanpeter trendsindetectableviralloadbycalendaryearintheaustralianhivobservationaldatabase AT mcmanushamish trendsindetectableviralloadbycalendaryearintheaustralianhivobservationaldatabase AT cooperdavida trendsindetectableviralloadbycalendaryearintheaustralianhivobservationaldatabase AT petoumenoskathy trendsindetectableviralloadbycalendaryearintheaustralianhivobservationaldatabase |