Journal article
Long-term patterns in CD4 response are determined by an interaction between baseline CD4 cell count, viral load, and time: The Asia Pacific HIV Observational Database (APHOD)
JAIDS Journal of Acquired Immune Deficiency Syndromes, Vol.50(5), pp.513-520
2009
Abstract
Background: Random effects models were used to explore how the shape of CD4 cell count responses after commencing combination antiretroviral therapy (cART) develop over time and, in particular, the role of baseline and follow-up covariates.
Methods: Patients in Asia Pacific HIV Observational Database who first commenced cART after January 1, 1997, and who had a baseline CD4 cell count and viral load measure and at least 1 follow-up measure between 6 and 24 months, were included. CD4 cell counts were determined at every 6-month period after the commencement of cART for up to 6 years.
Results: A total of 1638 patients fulfilled the inclusion criteria with a median follow-up time of 58 months. Lower post-cART mean CD4 cell counts were found to be associated with increasing age (P < 0.001), pre-cART hepatitis C coinfection (P = 0.038), prior AIDS (P = 0.019), baseline viral load ≤100,000 copies per milliliter (P < 0.001), and the Asia Pacific region compared with Australia (P = 0.005). A highly significant 3-way interaction between the effects of time, baseline CD4 cell count, and post-cART viral burden (P < 0.0001) was demonstrated. Higher long-term mean CD4 cell counts were associated with lower baseline CD4 cell count and consistently undetectable viral loads. Among patients with consistently detectable viral load, CD4 cell counts seemed to converge for all baseline CD4 levels.
Conclusions: Our analyses suggest that the long-term shape of post-cART CD4 cell count changes depends only on a 3-way interaction between baseline CD4 cell count, viral load response, and time.
Details
- Title
- Long-term patterns in CD4 response are determined by an interaction between baseline CD4 cell count, viral load, and time: The Asia Pacific HIV Observational Database (APHOD)
- Authors/Creators
- S. Egger (Author/Creator)K. Petoumenos (Author/Creator)A. Kamarulzaman (Author/Creator)J. Hoy (Author/Creator)S. Sungkanuparph (Author/Creator)J. Chuah (Author/Creator)K. Falster (Author/Creator)J. Zhou (Author/Creator)M.G. Law (Author/Creator)S. Mallal (Author/Creator)D. Nolan (Author/Creator)
- Publication Details
- JAIDS Journal of Acquired Immune Deficiency Syndromes, Vol.50(5), pp.513-520
- Publisher
- Lippincott Williams & Wilkins
- Identifiers
- 991005542509507891
- Copyright
- © 2009 Lippincott Williams & Wilkins, Inc.
- Murdoch Affiliation
- Centre for Clinical Immunology and Biomedical Statistics
- Language
- English
- Resource Type
- Journal article
- Note
- Simon Mallal & David Nolan appear as part of the The Australian HIV Observational Database
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites
Metrics
51 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 1 Clinical & Life Sciences
- 1.66 HIV
- 1.66.46 HIV Pathogenesis
- Web Of Science research areas
- Immunology
- Infectious Diseases
- ESI research areas
- Immunology