Baseline characteristics and patient disposition :
- Data were censored at the first date of meeting the primary endpoint, completion of 96 weeks of follow-up, last time the primary endpoint status was known, or date of withdrawal
Patients who met the primary endpoint :
- If a patient reached more than one component, only the first was taken into account
Probability of reaching primary endpoint :
Estimated proportion reaching primary endpoint at W96
RAL: 17.8% vs TDF/FTC: 13.8%
Adjusted difference: 4% (95% CI: -0.8, 8.8%)
Kaplan-Meier estimates of proportion of patients in each group reaching endpoints at W96 - Primary and secondary analyses around the primary endpoint :
Kaplan-Meier estimates of proportion of patients in each group reaching endpoint at W96 – Analyses by baseline HIV RNA and CD4 cell count :
Kaplan-Meier estimates of proportion of patients reaching primary endpointat W96 according to combined baseline CD4 and HIV RNA :
HIV RNA < 50 c/mL :
Data are proportions (95% CI) based on available viral load data
Virological failure and emerging resistance mutations per trial arm :
RAL = raltegravir . DRV/r = ritonavir-boosted darunavir . TDF-FTC = tenofovir - emtricitabine
PDVF = protocol - defined virological failure
* Genotypic testing carried out by local laboratories when patients had a single HIV RNA > 500 copies/ mL at or after week 32 up to the end of follow up
† K65R. ‡ N155H
Emergence of resistance mutations in full data set
(confirmed HIV RNA > 50 c/ mL or any single HIV RNA ≥ 500 c/ml at or after W32)
* 1 patient had 2 major IAS resistance mutations (1 NRTI + 1 INI)
** L76V
*** N155H = 12 ; N155H + Q148R = 1, Y143C = 1 ; HIV RNA at genotypic testing < 200 c/ mL : 4/14
- Predictor of integrase resistance mutations emergence : baseline HIV RNA, p=0.006, no association with baseline CD4 nor HIV RNA at time of testing
Safety :
* melanoma, Burkitt's lymphoma, severe sepsis with organ failure after DRESS, suicide
** morphine overdose
Laboratory parameters :
Conversion mmol /L to g/L : x 0.387
Bone sub-study :
- 146 patients : 70 DRV/r + RAL vs 76 DRV/r + TDF/FTC
- Randomised at same time as the main study
- Baseline demographic and HIV characteristics similar in the 2 sub-groups
- History of fractures : 12 % vs 20 % (p = 0.17)
- Osteopenia /osteoporosis at baseline : 24 in DRV/r + RAL vs 21 in DRV/r + TDF/FTC
- Compare changes in bone mineral density (BMD) between treatment arms
- Whole body dual-energy x-ray absorptiometry (DXA) scans assessed BMD of total hip, lumbar spine and femoral neck, at baseline, W48 and W96
- Evaluate clinical factors associated with BMD loss
- Primary endpoint
- Mean percentage change of BMD in lumbar spine and hip at 48 weeks
- Secondary endpoints
- Mean percentage change at 96 weeks
- Proportion with WHO criteria for osteoporosis/ osteopenia
- Proportion with a Z score < -2
- Incidence of fractures
- Analyses by intent-to-treat exposed approach (ITT-e)
Covariates associated with change in BMD at W48 (multivariate analysis)
Sport versus no sport : ns at all sites
Bone biomarkers substudy
- Biomarkers measured on paired samples D0, W48
- Bone formation: osteocalcin , bone specific alkaline phosphatase (BSAP),
pro-collagen type 1 N pro-peptide (P1NP), osteoprotegerin
- Bone resorption : serum C terminal collagen crosslinks (CTX-1), receptor activator of NF kb (RANKL), osteopontin , urine CTX-1/ creatinine ratio
- 25-OH vitamin D, intact PTH
- Inflammatory markers : IL-1 b , IL-6, TNF- a
- Compared to DRV/r + RAL, patients treated with DRV/r + TDF/FTC had significantly greater increases in bone turnover markers
- Independently of ART regimen used
- Baseline bone specific alkaline phosphatase, P1NP and osteopontin levels were associated with BMD loss ≥ 5
Median percentage changes in biomarkers at W48
- Loss of BMD ≥ 5 % at any site greater in the standard group compared to the NtRTI-sparing group
- At W48 : 29/68 (43%) vs 9/65 (14%) (p=0.0002)
- At W96 : 34/68 (51%) vs 13/65 (20%) (p=0.0003)
Association between baseline biomarkers and changes in BMD ≥ 5 %
(multivariate analysis)
Each biomarker was categorised as > versus ≤ baseline median value. Data adjusted for baseline HIV RNA, sports, treatment group, and body- mass index. * Not adjusted for sports because model did not converge