| Title |
Factors associated with 10 years of continuous viral load suppression on HAART
|
|---|---|
| Published in |
BMC Infectious Diseases, July 2016
|
| DOI | 10.1186/s12879-016-1677-x |
| Pubmed ID | |
| Authors |
Kathryn J. Bello, Octavio Mesner, Thomas A. O’Bryan, Seung Hyun Won, Tahaniyat Lalani, Anuradha Ganesan, Brian K. Agan, Jason F. Okulicz |
| Abstract |
The principal goal of HAART is sustained viral load (VL) suppression resulting in immune reconstitution and improved HIV outcomes. We studied the factors associated with 10 years of continuous VL suppression on HAART in the US Military HIV Natural History Study. Participants with continuous VL suppression (CS, n = 149) were compared to those who did not have continuous viral load suppression (NCS, n = 127) for ≥10 years on HAART. Factors associated with >10 years of VL suppression were evaluated by multivariate logistic regression. Additionally, association between CS and CD4 reconstitution was analyzed with a mixed effects model. Compared to NCS participants, a lower proportion of CS participants started HAART in the early HAART era (66 vs 90 %, for years 1996-1999; p < 0.001) and had less antiretroviral use prior to HAART (37 vs 83 %; p < 0.001). At initial HAART, the median CD4 cell count was higher and VL was lower for CS compared to NCS participants (375 cells/uL [256, 499] vs 261 cells/uL [146, 400]; p < 0.001 and 4.4 log10 copies/mL [3.5, 4.9] vs 4.5 log10 copies/mL [3.8, 5.0]; p = 0.048, respectively). New AIDS events were lower during HAART (5 vs 13 %; p = 0.032) and post-HAART CD4 trajectories were greater for the CS compared to NCS group. Factors negatively associated with ≥10 years of VL suppression included log10 VL at first HAART (OR 0.61, 95 % CI 0.4, 0.92; p = 0.020) and antiretroviral use prior to HAART (OR 0.16, 95 % CI 0.06, 0.38; p < .001). Sustained VL suppression is a key to long-term health in HIV-infected patients, as demonstrated by the lower proportion of AIDS events observed 10 years after HAART initiation. The current use of more potent and well-tolerated regimens may mitigate the negative factors of pre-HAART VL and prior ARV use encountered by treatment initiated in the early HAART era. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Venezuela, Bolivarian Republic of | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 31% |
| Researcher | 5 | 10% |
| Student > Bachelor | 4 | 8% |
| Student > Postgraduate | 4 | 8% |
| Professor | 3 | 6% |
| Other | 7 | 13% |
| Unknown | 13 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 40% |
| Nursing and Health Professions | 8 | 15% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Immunology and Microbiology | 2 | 4% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 15 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 July 2016.
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#20,336,685
of 22,881,964 outputs
Outputs from BMC Infectious Diseases
#6,481
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#318,270
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Outputs of similar age from BMC Infectious Diseases
#164
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