| Literature DB >> 24938526 |
Aida Asmelash1, Yu Zheng, Kara Wools Kaloustian, Douglas Shaffer, Fred Sawe, Anthony Ogwu, Robert Salata, Judith Currier, Michael D Hughes, Shahin Lockman.
Abstract
BACKGROUND: A subset of HIV-1 infected patients starting highly active antiretroviral treatment (HAART) experience suboptimal CD4 response (SCR) despite virologic suppression. We studied the rate of and risk factors for SCR among women starting HAART in the ACTG A5208 study conducted in 7 African countries. 741 HAART-naive women with screening CD4 count <200 cells/μL were randomized to start HAART with Tenofovir/Emtricitabine plus either Nevirapine or Lopinavir/Ritonavir.Entities:
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Year: 2014 PMID: 24938526 PMCID: PMC4083139 DOI: 10.1186/1471-2334-14-331
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Baseline characteristics of the 625 study participants (who did not experience protocol defined virologic failure through to week 48), and univariate associations with suboptimal CD4 response
| Age (years) | Median (IQR1) | 33 (28, 38) | 37 (31, 41) | 32 (28, 37) | <.001 |
| Screening CD4 (cells/μL) | Median (IQR) | 134 (88, 168) | 127 (80, 163) | 135 (90, 168) | 0.38 |
| Baseline CD4 (cells/μL) | Median (IQR) | 132 (88, 177) | 141 (104, 193) | 130 (85, 174) | 0.08 |
| | <50 | 63 (10%) | 3 (4%) | 60 (11%) | |
| | > = 50 | 562 (90%) | 68 (96%) | 494 (89%) | |
| HIV-1 RNA (copies/ml) | Median (IQR) | 5.13 (4.72, 5.53) | 5.00 (4.29, 5.41) | 5.15 (4.77, 5.53) | 0.005 |
| CD4/CD8 ratio | Median (IQR) | 0.17 (0.10, 0.25) | 0.19 (0.11, 0.26) | 0.17 (0.10, 0.25) | 0.48 |
| BMI (kg/m2) | Underweight:<18.5 | 58 (9%) | 6 (8%) | 52 (9%) | 0.18 |
| | Normal: 18.5- < 25 | 372 (60%) | 48 (68%) | 324 (58%) | |
| | Overweight: 25- < 30 | 123 (20%) | 14 (20%) | 109 (20%) | |
| | Obese: > = 30 | 72 (11%) | 3 (4%) | 69 (12%) | |
| Hepatitis B surface antigen | Positive | 35 (6%) | 7 (10%) | 28 (5%) | 0.10 |
| | Negative | 587 (94%) | 64 (90%) | 523 (95%) | |
| | Missing | 3 | 0 | 3 | |
| WHO stage | I | 254 (41%) | 36 (51%) | 218 (39%) | 0.02 |
| | II | 187 (30%) | 22 (31%) | 165 (30%) | |
| | III/IV | 184 (29%) | 13 (18%) | 171 (31%) | |
| SD NVP exposure prior to study entry | Yes | 204 (33%) | 17 (24%) | 187 (34%) | 0.11 |
| | No | 421 (67%) | 54 (76%) | 367 (66%) | |
| Initial randomized regimen | NVP | 298 (48%) | 38 (54%) | 260 (47%) | 0.32 |
| | LPV/r | 327 (52%) | 33 (46%) | 294 (53%) | |
| Site | Botswana | 81 (13%) | 8 (11%) | 73 (13%) | 0.001 |
| | Durban (SA2) | 44 (7%) | 5 (7%) | 39 (7%) | |
| | Eldoret(Kenya) | 54 (9%) | 16 (23%) | 38 (7%) | |
| | Kericho(Kenya) | 70 (11%) | 6 (8%) | 64 (12%) | |
| | Jo’burg3(SA2) | 56 (9%) | 2 (3%) | 54 (10%) | |
| | Jo’burg3 (Wits4)(SA2) | 74 (12%) | 8 (11%) | 66 (12%) | |
| | Malawi | 50 (8%) | 5 (7%) | 45 (8%) | |
| | Uganda | 50 (8%) | 6 (8%) | 44 (8%) | |
| | Zambia | 55 (9%) | 10 (14%) | 45 (8%) | |
| Zimbabwe | 91 (15%) | 5 (7%) 86 | (16%) |
1Inter-quartile range, 2South Africa, 3Johannesburg, 4University of Witwatersrand.
Multivariate analysis of risk factors for suboptimal CD4 response
| Age | per 10 years increase | 2.32 (1.60, 3.34) | <0.001 |
| Baseline HIV-1 RNA | per 1 log10 copies/mL increase | 0.46 (0.30, 0.71) | <0.001 |
| Screening CD4 | per 100 cells/μL) increase | 0.66 (0.38,1.15) | 0.14 |
| Hepatitis B surf. antigen | Positive vs. Negative | 2.86 (1.05, 7.77) | 0.040 |
| Enrollment site | Harare Zimbabwe1 | 1 (reference site) | |
| | Botswana | 2.18 (0.60, 7.89) | 0.005 |
| | Durban SA 2 | 2.96 (0.76, 11.57) | |
| | Eldoret Kenya | 9.63 (3.01, 30.82) | |
| | Kericho Kenya | 2.35 (0.63, 8.77) | |
| | Johannesburg | SA2 1.15 (0.20, 6.55) | |
| | Johannesburg | WITS3 SA2 2.97 (0.83,10.57) | |
| | Lilongwe Malawi | 2.21 (0.55, 8.90) | |
| | Kampala Uganda | 2.77 (0.75, 10.22) | |
| Lusaka Zambia | 5.05 (1.53, 16.67) |
1Reference category 2South Africa 3University of Witwatersrand.
Figure 1Percentage of women with CD4≥ 350 cells/μL by time among women with SCR vs. non-SCR.