To the Editor—After previous evidence from the ASPIRE trial [1], results from the TANGO study [2] definitively proved the efficacy of lamivudine (3TC) plus dolutegravir (DTG) as a maintenance strategy. As trials’ populations often differ from real-practice settings, we aimed to assess whether these results are reproducible in an unselected population living with human immunodeficiency virus (HIV). An observational, longitudinal, multicenter research study was conducted. Patients living with HIV who had viral suppression (at least 1 HIV RNA <50 copies/mL) were followed-up from the start of 3TC + DTG. The cohort was divided into 2 groups based on compliance or noncompliance with the inclusion criteria of the TANGO study (the absence of a hepatitis B virus coinfection, of previous virological failure [VF], of a M184V-harboring virus, and of a previous AIDS event other than cutaneous Kaposi’s sarcoma and a nadir CD4 count ≤200 mm3).
The times to VF (ie, 2 consecutive HIV RNA determinations ≥50 cps/mL or a single HIV RNA ≥1000 cps/mL) and to treatment discontinuation (ie, the interruption of any of the study drugs) in the 2 groups were compared through a Kaplan-Meier with log-rank test and a Cox-regression model after adjusting for the main clinical and demographic between-groups differences. Changes in immunological parameters were assessed by a linear mixed model for repeated measures.
We analyzed 557 patients with a median follow-up time of 22 months: 145 (26.0%) met the TANGO inclusion criteria (TANGO group; TG). They were mostly men (70.4%) of Caucasian ethnicity (92.1%). The characteristics of the study groups are summarized in Table 1.
Table 1.
TANGO Group, n = 145 | Non-TANGO Group, n = 412 | P Value | |
---|---|---|---|
Age, years, median (IQR) | 49 (40–55) | 53 (47–58) | <.001 |
Male sex, n (%) | 111 (76.6) | 281 (68.2) | .058 |
Ethnicity, n (%) | |||
Caucasians | 129 (89.0) | 384 (93.2) | .112 |
Sub-Saharan | 4 (2.8) | 14 (3.4) | |
Central or South American | 6 (4.1) | 6 (1.5) | |
Other/unknown | 6 (4.1) | 8 (1.9) | |
Risk factor for HIV, n (%) | |||
Heterosexual | 56 (38.6) | 169 (41.0) | <.001 |
MSM | 37 (25.5) | 108 (26.2) | |
IDU | 15 (10.4) | 86 (20.9) | |
Other/unknown | 37 (25.5) | 49 (11.9) | |
CDC stage C, n (%) | 20 (13.8) | 62 (15.0) | .854 |
Anti HCV–positive serostatus, n (%) | 25 (17.2) | 101 (24.5) | .076 |
Peak HIV RNA, log10 copies/mL, median (IQR) | 4.95 (4.45–5.35) | 4.89 (4.37–5.43) | .780 |
Nadir CD4+ cell count, cells/mm3, median (IQR) | 278 (140–395) | 212 (93–309) | .001 |
Non-B HIV subtype, n (%) | 5 (3.4) | 13 (3.2) | .875 |
Years from HIV diagnosis, median (IQR) | 9 (5–17) | 18 (10–24) | <.001 |
Years of cumulative ARV exposure, median (IQR) | 7 (3–12) | 13 (8–19) | <.001 |
Months of virological suppression, median (IQR) | 61.5 (31.5–103.1) | 95.4 (51.5–126.9) | <.001 |
Time of virological suppression ≤6 months (%) | / | 13 (3.2) | NA |
Baseline CD4+ cell count, cells/mm3, median (IQR) | 692 (453–912) | 660 (500–876) | .826 |
Previous virological failure, n (%) | / | 223 (54.1) | NA |
Previous ARV regimen, n (%) | |||
2NRTI + bPI | 22 (15.2) | 55 (13.3) | <.001 |
2NRTI + NNRTI | 90 (62.1) | 55 (13.3) | |
2NRTI + INI | 33 (22.7) | 57 (13.8) | |
Dual/monotherapy | 0 (0) | 220 (53.4) | |
Other | 0 (0) | 25 (6.2) | |
M184V resistance mutation detection at last genotipic resistance test, n (%) | / | 45 (10.9) | NA |
Reason for starting DTG + 3TC, n (%): | |||
Simplification/proactive switch | 49 (33.8) | 106 (25.7) | <.001 |
Dyslipidemia | 5 (3.4) | 87 (21.1) | |
Toxicity GI tract | 13 (9.0) | 31 (7.5) | |
Renal toxicity | 13 (9.0) | 18 (4.4) | |
Osteopenia/osteoporosis | 20 (13.8) | 7 (1.7) | |
Other toxicity | 10 (6.8) | 10 (2.4) | |
Drug-drug interaction | 6 (4.1) | 30 (7.3) | |
Other/unknown | 29 (20.1) | 123 (29.9) |
Abbreviations: 3TC, lamivudine; ARV, antiretroviral; bPI, boosted-protease inhibitor; CDC, Centers for Disease Control and Prevention; DTG, dolutegravir; GI, gastrointestinal; HCV, hepatitis C virus; HIV, human immunodeficiency virus; IDU, intravenous drug users; INI, integrase inhibitor; IQR, interquartile range; MSM, men who have sex with men; NA, not applicable; NNRTI, nonnucleoside reverse transcriptase inhibitor; NRTI, nucleoside reverse transcriptase inhibitor.
There was 1 VF over 248 patient-years of follow-up (PYFU) and there were 11 VFs over 776 PYFU in the TG and non-TG, respectively. The estimated probabilities of maintaining virological suppression were 99.2% (standard deviation [SD] ± 1.6) at 48, 96, and 144 weeks in the TG and 98.5% (SD ± 1.4) at 48 weeks, 97.7 (SD ± 1.8) at 96 weeks, and 95.7% (SD ± 2.6) at 144 weeks in the non-TG (log-rank P = .189). After stratifying for the presence of M184V at historical genotype and for previous VF, the results did not change (P = .253 and P = .186, respectively). Moreover, belonging to TG was not predictive of VF (adjusted hazard ratio, 0.35; 95% CI, .04–2.84; P = .327) after adjusting for age, anti–hepatitis C virus serostatus, and HIV duration. No resistance-associated mutations emerged after VF.
The estimated probabilities of remaining on 3TC + DTG were 86.6% (SD ± 5.9) at Week 48 and 79.5% (SD ± 7.5) at both Weeks 96 and 144 in the TG, and 85.8% (SD ± 3.5), 78.9% (SD ± 4.3). and 73.9% (SD ± 5.1) at Weeks 48, 96, and 144 in the non-TG (log-rank P = .654), respectively, with no significantly increased hazard of treatment discontinuation for the TG (vs non-TG; adjusted hazard ratio, 0.97; 95% CI, .60–1.57; P = .894) after adjusting for confounders. A significant increase in the CD4/CD8 ratio (mean changes at 96 weeks, +0.05 in TG and +0.07 in non-TG) was observed over time, with no difference between groups.
Previous studies on 3TC + DTG as a switch strategy reported a low rate of VF in clinical practice [3, 4]. However, some demographic and viro-immunological characteristics seemed to increase the risk of VF during 3TC + DTG [5], possibly limiting the widespread use of this strategy in experienced patients.
Overall, our findings from clinical practice are in line with the TANGO study results. However, a higher—albeit not statistically significant—number of VF was seen in the non-TG. Pending results from longer follow-up studies, in our opinion, caution should be advised when considering 3TC + DTG for selected patients (eg, those with previous VF or a shorter time of viral suppression).
Notes
Acknowledgements. The authors thank all collaborators of the study: Alessandra Latini, Manuela Colafigli, Luigi Celani, Gabriella d’Ettorre (Roma), Andrea Giacometti (Ancona), Filippo Lagi (Firenze), Andrea Giacomelli, and Maria Vittoria Cossu (Milano).
Potential conflicts of interest. A. B. has received nonfinancial support from Bristol-Myers Squibb (BMS) and ViiV Healthcare and personal fees from Gilead Sciences and Janssen. S. R. has received research grants to his institution from ViiV Heathcare, BMS, Gilead Sciences, and Janssen, outside the submitted work, and was a paid consultant for ViiV Heathcare, Gilead Sciences, Merck Sharp & Dohme (MSD), BMS, Mylan, and Janssen. A. C. has received personal grants from Abbvie, Gilead, and ViiV. G. S. has received speaker’s fees from Gilead, Merk, Janssen, Abbvie, and ViiV. C. M. has participated in advisory boards, received study grants, and/or received speaker honoraria from Abbvie, Gilead, Viiv, Janssen, Angelini, BMS, and MSD. S. D. G. was a paid consultant or member of advisory boards for Gilead, ViiV Healthcare, Janssen-Cilag, MSD, and BMS. All other authors report no potential conflicts. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.
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