Please use this identifier to cite or link to this item:
https://doi.org/10.7448/IAS.18.1.19463
DC Field | Value | |
---|---|---|
dc.title | Temporal trends of time to antiretroviral treatment initiation, interruption and modification: Examination of patients diagnosed with advanced HIV in Australia | |
dc.contributor.author | Wright, S.T | |
dc.contributor.author | Law, M.G | |
dc.contributor.author | Cooper, D.A | |
dc.date.accessioned | 2020-10-27T05:42:17Z | |
dc.date.available | 2020-10-27T05:42:17Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Wright, S.T, Law, M.G, Cooper, D.A (2015). Temporal trends of time to antiretroviral treatment initiation, interruption and modification: Examination of patients diagnosed with advanced HIV in Australia. Journal of the International AIDS Society 18 (1) : 19463. ScholarBank@NUS Repository. https://doi.org/10.7448/IAS.18.1.19463 | |
dc.identifier.issn | 17582652 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/180918 | |
dc.description.abstract | 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<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. Conclusions: Recent 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.: © 2015 Wright ST et al; licensee International AIDS Society. | |
dc.rights | Attribution 4.0 International | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.source | Unpaywall 20201031 | |
dc.subject | anti human immunodeficiency virus agent | |
dc.subject | anti human immunodeficiency virus agent | |
dc.subject | adult | |
dc.subject | aged | |
dc.subject | Article | |
dc.subject | Australia | |
dc.subject | CD4 lymphocyte count | |
dc.subject | female | |
dc.subject | human | |
dc.subject | Human immunodeficiency virus infection | |
dc.subject | major clinical study | |
dc.subject | male | |
dc.subject | outcome assessment | |
dc.subject | priority journal | |
dc.subject | time to treatment | |
dc.subject | treatment duration | |
dc.subject | trend study | |
dc.subject | virus load | |
dc.subject | HIV Infections | |
dc.subject | immunology | |
dc.subject | middle aged | |
dc.subject | statistical model | |
dc.subject | time factor | |
dc.subject | virology | |
dc.subject | Adult | |
dc.subject | Aged | |
dc.subject | Anti-HIV Agents | |
dc.subject | Australia | |
dc.subject | CD4 Lymphocyte Count | |
dc.subject | Female | |
dc.subject | HIV Infections | |
dc.subject | Humans | |
dc.subject | Logistic Models | |
dc.subject | Male | |
dc.subject | Middle Aged | |
dc.subject | Time Factors | |
dc.subject | Viral Load | |
dc.type | Article | |
dc.contributor.department | SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH | |
dc.description.doi | 10.7448/IAS.18.1.19463 | |
dc.description.sourcetitle | Journal of the International AIDS Society | |
dc.description.volume | 18 | |
dc.description.issue | 1 | |
dc.description.page | 19463 | |
Appears in Collections: | Elements Staff Publications |
Show simple item record
Files in This Item:
File | Description | Size | Format | Access Settings | Version | |
---|---|---|---|---|---|---|
10_7448_IAS_18_1_19463.pdf | 585.11 kB | Adobe PDF | OPEN | None | View/Download |
This item is licensed under a Creative Commons License