| Literature DB >> 26628902 |
Graeme Meintjes1, Liezl Dunn2, Marla Coetsee2, Michael Hislop2, Rory Leisegang3, Leon Regensberg2, Gary Maartens3.
Abstract
BACKGROUND: An increasing number of patients in Africa are experiencing virologic failure on second-line antiretroviral therapy (ART) and those who develop resistance to protease inhibitors (PI) will require third-line ART, but no data on the outcomes of third-line are available from the region. We assessed the virologic outcomes and survival of patients started on salvage ART in a Southern African private sector disease management programme.Entities:
Keywords: Antiretroviral therapy; HIV; Human immunodeficiency virus; Salvage; Third-line; Virologic failure
Year: 2015 PMID: 26628902 PMCID: PMC4666151 DOI: 10.1186/s12981-015-0081-8
Source DB: PubMed Journal: AIDS Res Ther ISSN: 1742-6405 Impact factor: 2.250
Demographic and clinical characteristics and genotype antiretroviral resistance test profile of the 152 patients when starting salvage ART
| Characteristic | Number (%) or median (IQR) |
|---|---|
| Demographic | |
| Female gender | 75 (49 %) |
| Age (years) | 44 (39.8–48) |
| Clinical | |
| CD4 count when initially started ART (cells/mm3) (n = 109) | 102 (31–186) |
| HIV VL when initially started ART (copies/ml) (n = 100) | 176,893 (73,425–500,000) |
| CD4 count when started salvage ART (cells/mm3) (n = 152) | 153 (41–329) |
| HIV VL when started salvage ART (copies/ml) (n = 152) | 82,831 (20,060–233,778) |
| Number of ART regimens prior to salvage ART | 3 (3–4) |
| Known to have originally initiated ART with dual NRTI regimen | 53 (34.9 %) |
| Duration of ART exposure prior to salvage ART (years) (n = 122)a | 8.9 (6.9–10.4) |
| Duration of PI exposure prior to salvage ART (years) (n = 148)b | 5.1 (3.4–7.2) |
| Genotype antiretroviral resistance test (GART)c | |
| Thymidine analogue mutationsd, e | |
| 0 | 45 (30 %) |
| 1–2 | 35 (23 %) |
| ≥3 | 72 (47 %) |
| Major protease inhibitor mutationsf | |
| 1–2 | 38 (25 %) |
| ≥3 | 114 (75 %) |
| Stanford resistance scores | |
| Lopinavir | 70 (40–90) |
| Darunavir | 10 (0–20) |
| Etravirineg | 5 (0–15) |
| Lopinavir score > 29 (intermediate/high level resistance) | 136 (89.5 %) |
| Lopinavir score > 59 (high level resistance) | 88 (57.9 %) |
| Darunavir score > 29 (intermediate/high level resistance) | 14 (9.2 %) |
| Darunavir score > 59 (high level resistance) | 0 (0.0 %) |
| Etravirine score > 29 (intermediate/high level resistance) | 28 (18.4 %) |
| Etravirine score > 59 (high level resistance) | 7 (4.6 %) |
147 were treated in South Africa, 4 in Swaziland and 1 in Namibia
ART antiretroviral therapy, IQR interquartile range; NRTI nucleoside reverse transcriptase inhibitor, PI protease inhibitor, VL viral load
aIn 30 insufficient data on ART history was available to calculate ART duration
bIn 4 insufficient data on PI history was available to calculate ART duration
cIf a patient had more than one GART, then resistance mutations detected in any GART were included in these analyses
dThymidine analogue mutations were defined as: M41L, D67N, K70R, L210W, T215Y/F and K219Q/E
eOther major nucleoside reverse transcriptase inhibitor mutations present were: M184V (n = 84), K65R (n = 7), L74V (n = 11), Q151M (n = 4) and T69 insertion (n = 1)
fMajor protease inhibitor mutations were defined as: D30N, V32I, M46I/L, I47V/A, G48V/M/A/S/T/Q/L, I50L/V, I54V/T/A/S/L/M, L76V, V82A/C/T/S/F/L/M, I84V/A/C, N88S/T/G and L90M
gFew patients were taking non-nucleoside reverse transcriptase inhibitor drugs at the time the pre-salvage GART was performed
Fig. 1Kaplan–Meier curves showing time to virologic suppression or death. a, b Show Kaplan–Meier estimates of time to suppression of HIV viral load ≤400 and 50 copies/ml respectively. All 152 patients were included in these analyses and patients were censored at death, loss to the programme or on 30 April 2014. The median time to suppression ≤400 copies/ml was 194 days and to ≤50 copies/ml was 368 days. Viral load measurements were generally performed 6 monthly, partly explaining the delayed suppression; c shows Kaplan–Meier estimates of time to death analysis. Patients were censored at 30 April 2014 for this analysis (vital status was known for all patients on this date)
Multivariate logistic regression analysis of factors associated with HIV viral load suppression ≤50 copies/ml on salvage ARTa
| Variable | Unadjusted odds ratio (95 % CI) | p value | Adjusted odds ratio (95 % CI) | p value |
|---|---|---|---|---|
| Age (per year increase) | 1.00 (0.95–1.05) | 0.96 | 1.00 (0.94–1.06) | 0.98 |
| Female gender | 2.42 (1.16–5.01) | 0.02 | 2.45 (1.07–5.63) | 0.04 |
| HIV viral load at start of salvage ART (per log10 unit increase) | 0.30 (0.17–0.53) | <0.001 | 0.38 (0.21–0.70) | 0.002 |
| Darunavir resistance score (per 10 point increase on Stanford database) | 0.54 (0.38–0.76) | <0.001 | 0.59 (0.39–0.90) | 0.01 |
| Raltegravir in salvage regimen | 1.11 (0.54–2.30) | 0.77 | 2.38 (0.95–5.95) | 0.06 |
aAll 152 patients are included in this analysis. Those who did not have a viral load performed or who died before having a suppressed viral load recorded were regarded as having failed to suppress
Fig. 2CD4 count prior to start of salvage ART and at 6 months intervals on salvage ART. The graph shows the median and interquartile range for CD4 counts (for those patients who had CD4 count performed) prior to starting ART salvage, then at 6 months intervals on salvage ART (with a ±3 month window for each 6 month interval)