Durability of INI-containing regimens after switching from PI-containing regimens: a single-centre cohort of drug-experienced HIV-infected subjects.

PURPOSE: Integrase inhibitor (INI)-containing regimens are increasingly replacing protease inhibitor(PI)-containing regimens in clinical practice. The aim of this study was to evaluate the determinants of the durability of INI-containing regimens after the switch. PATIENTS AND METHODS: We retrospectively analysed all of the people with HIV infection attending the University of Milan's Infectious Diseases Unit at Luigi Sacco Hospital who were switched from a PI- to an INI-containing regimen between April 2008 and March 2017. The probability of remaining on an INI-containing regimen was estimated using Kaplan-Meier curves, and the baseline clinical predictors of INI-containing regimen durability were assessed using a multivariable Cox proportional hazard regression model.
RESULTS: Three hundred and twelve patients were included in the analysis. The median time of observation was 21 months (interquartile range 10-36 months). The main reasons for switching from a PI-containing regimen to an INI-containing regimen were toxicities (31.4%) and simplification (31.1%). Univariate analysis revealed no difference in the probability of INI discontinuation between the patients treated with raltegravir, dolutegravir or elvitegravir (p=0.060), but the multivariable Cox regression model showed that the patients treated with dolutegravir were at less risk of discontinuation than those treated with raltegravir (adjusted hazard ratio 0.49, 95% confidence interval 0.26-0.95; p=0.034).
CONCLUSION: Switching from a PI- to an INI-containing regimen may be an option for patients under virological control. The patients switched to dolutegravir were less likely to discontinue the INI than those switched to raltegravir. Our findings support this therapeutic strategy and highlight the durability and efficacy of dolutegravir containing-regimens after switching from a PI-containing regimen.

Introduction

Combined antiretroviral therapy (cART) has dramatically changed the life expectancy of people living with HIV by allowing the control of viral replication and thus leading to a significant reduction in HIV infection-related morbidity and mortality.1 However, toxicities associated with the use of the first antiretroviral agents considerably limited the universal and early use of cART for a number of years and encouraged investigations into differences in the role of the various classes of antiretroviral compounds.2,3

Metabolic toxicity was detected as an untoward effect of first-generation antiretroviral agents very early in the use of cART. Lipodystrophic syndrome and metabolic abnormalities were found to be related to cumulative exposure to thymidine analogues and protease inhibitors (PI),4,5 and the findings of recent observational studies have highlighted potential associations between integrase inhibitors (particular dolutegravir [DTG]) and weight gain and altered fat distribution.6–8 Boosted PIs have long been the cornerstone of cART therapy, and still form the basis of a substantial number of cART regimens. Before the advent of integrase inhibitors (INIs), various strategies were used to avoid ritonavir exposure in the subjects who used unboosted atazanavir (ubATV) in order to reduce metabolic toxicities,9 and new compounds (particularly INIs) are now progressively replacing boosted PIs in both cART-naïve and cART-experienced patients.10

Initial trials highlighted an increased risk of cART discontinuation due to virological failure in patients switching from boosted lopinavir (LPV) to raltegravir (RAL),11 but subsequent studies have shown that switching from boosted PIs to INI-containing regimens is virologically effective and leads to improved metabolic profiles.12,13 It has also been demonstrated that switching from a boosted PI regimen to a single tablet regimen (STR) containing boosted elvitegravir (EVG) can be effective and well tolerated,14 and that simplifying PI-containing to DTG-containing regimens is safe and effective, particularly in patients aged >50 years and in those at high cardiovascular risk.15,16 The STRIIVING study showed no clear benefit in terms of lipid profiles in patients switched to DTG, but this may be partially explained by the low cardiovascular risk of the study patients and their different previous cART regimens, which included PIs or non-nucleoside reverse transcriptase inhibitors (NNRTIs).15 Furthermore, the NEAT022 study revealed a clear benefit in patients at high cardiovascular risk who were switched to DTG from boosted PIs.16

Consequently, simplification strategies involving a switch from boosted PI-containing cART regimens to an INI-containing regimen have now been introduced in routine clinical practice with the aim of reducing the long-term toxicities caused by lifelong cART exposure.11–18

The aim of this study was to assess the durability and metabolic impact of INI-containing regimens in a single-centre cohort of drug-experienced HIV-infected patients who had previously been treated with a PI-containing regimen.

Materials and methods

We retrospectively analysed all of the HIV-infected patients attending the University of Milan’s Infectious Diseases Unit at Luigi Sacco Hospital who were switched from a PI- to an INI-containing regimen between April 2008 and March 2017. Patients aged <18 years were excluded from the analysis.

The demographic, epidemiologic and clinical data in the patients’ clinical case files at the time of the switch from a PI- to an INI-containing regimen and every six months thereafter were anonymously entered in an ad hoc electronic database.

The discontinuations of INI-containing regimens were categorised as being due to virological failure (defined as two consecutive determinations of >50 HIV-RNA copies/mL or one detection of >1000 HIV-RNA copies/mL), toxicities, drug-drug interactions, simplifications, drop-outs, deaths or other reasons. A change from one to another INI-containing regimen was considered a failure in the durability analysis, but the patients who only changed the drug formulation were not considered as failures.

The primary study end-point was the discontinuation of the different INI-(RAL vs DTG)-containing regimens after switching from a PI-containing regimen. The secondary end-points were the durability of EVG vs RAL or DTG, the probability of virological failure on the different INI-containing regimens, the metabolic effects of switching from a PI- to an INI-containing regimen, and the change in 10-year cardiovascular risk as assessed by the Framingham algorithm 12 months after the switch.

Sample size was calculated on the basis of the primary end-point. It was estimated that a total of 272 participants (136 per group) would provide a power of at least 80% to exclude a non-inferiority margin of a 12.5% difference in the proportion of participants reaching the primary endpoint, assuming that treatment success was 90% among the patients in the DTG group and a two-sided α of 0.05.12,16,17

The collected data were grouped into dichotomous and continuous variables, and the patients were grouped on the basis of their previous PI (boosted ATV, ubATV, boosted darunavir [DRV], LPV, or boosted fosamprenavir [fAPV]) and its replacement INI (DTG, RAL or EVG).

The descriptive and inferential statistical analyses assumed that an α of 0.05 was statistically significant.

The probabilities of the discontinuation and virological failure of the different INI-containing regimens after switching from a PI-containing regimen were analysed by means of Kaplan-Meier curves. The baseline clinical predictors of the durability and virological failure of the INI-containing regimens were assessed using a multivariable Cox proportional hazard regression model, in which the co-variates were age, gender, the number of previous cART regimens, previous virological failure, initial PI, backbone, >50 HIV-RNA copies/mL at the time of the switch, CD4 cell count at the time of the switch, nadir CD4 cell count, and HCV co-infection.

The variations in total cholesterol (TC), HDL cholesterol and triglyceride (TG) levels were assessed using a multivariable linear mixed effects regression model, and the SAS PROC MIXED procedure with a random intercept was used to correlate repeated measures. Intra-individual variance was analysed using an autoregressive correlation structure of the first order, with TC, HDL cholesterol and TG as the dependent variables, and age, gender, baseline lipid values, statin use, concomitant tenofovir discontinuation, and initial PI as independent variables.

Ten-year cardiovascular risk was assessed using the Framingham algorithm at the time of the switch and 12 months after the switch from a PI- to INI-containing regimen.19 The patients whose data were insufficient for the Framingham risk calculation and those who modified their concomitant antiretroviral or non-antiretroviral treatment (eg by introducing a statin) during the first 12 months after the switch were excluded from the analysis. A multivariable linear mixed effect regression model was used to assess the predictors of the change in 10-year cardiovascular risk 12 months after the switch. The co-variates included in the final model were age, gender, baseline Framingham risk, and initial PI.

SAS version 9.4 software was used to make the statistical analyses, and a p-value of <0.05 was considered statistically significant.

The study protocol was reviewed and approved by the Comitato Etico Interaziendale Milano Area 1 (Ethics Committee), and an informed consent form was signed by all of the subjects who decided to participate in this study.

Results

Table 1 shows the characteristics of the 312 patients included in the analysis at the time of the switch from a PI- to an INI-containing regimen. The patients treated with RAL-containing regimens had been treated with a higher median number of previous cART regimens than those treated with DTG- or EVG-containing regimens (6, interquartile range [IQR] 2–11 vs respectively 4, IQR 2–7 and three, IQR 1–6; p=0.002), and included a greater proportion of patients who had experienced a previous virological failure (46, 34.1% vs respectively 22, 18% and 11, 20%; p=0.008) and patients switching with an HIV-RNA count of >50 copies/mL (34, 25.2% vs respectively 13, 10.7% and 11, 20%; p=0.011). Moreover, in comparison with those treated with DTG- or EVG-containing regimens, the patients treated with RAL-containing regimens were more frequently intravenous drug users (50, 37% vs 22, 18% and 3, 5.4%; p<0.0001) and had HCV co-infection (57, 42.2% vs 31, 25.4% and 9, 16.4%; p<0.001).

Table 1

Patients characteristics at the time of switch from a PI- to an INI-containing regimen

Patients characteristics	Total n=312	RAL n=135 (43.3%)	DTG n=122 (39.1%)	EVG n=55 (17.6%)	p-value*
Female, n (%)	85 (27.2)	41 (30.4)	30 (24.6)	14 (25.5)	0.552
Age (yrs), median (IQR)	49.3 (42.3–54.5)	49.6 (42.8–54.0)	50.0 (43.5–56.0)	45.9 (40.4–53.7)	0.146
Risk group, n (%)					<0.0001
Heterosex	125 (40.1)	48 (35.6)	49 (40.2)	28 (50.9)
MSM	102 (32.7)	32 (23.7)	46 (37.7)	24 (43.6)
IVDUs	75 (24.0)	50 (37.0)	22 (18.0)	3 (5.4)
Other	10 (3.2)	5 (3.7)	5 (4.1)	0 (0.0)
Previous AIDS, n (%)	86 (27.5)	44 (32.6)	30 (24.6)	12 (21.8)	0.206
Previous VF, n (%)	79 (25.3)	46 (34.1)	22 (18.0)	11 (20.0)	0.008
Number of previous cART regimens, median (IQR)	4 (2–9)	6 (2–11)	4 (2–7)	3 (1–6)	0.002
Previous therapy duration (yrs), median (IQR)	9.9 (3.9–16.7)	11.6 (3.9–15.9)	9.6 (5.2–17.3)	6.8 (1.8–16.0)	0.188
CD4+ nadir (cells/mmc), median (IQR)	179 (47–303)	164 (40–262)	188 (58–325)	240 (104–333)	0.017
CD4+ nadir (cells/mmc) <200, n (%)	163 (53.8)	79 (58.5)	65 (53.3)	24 (43.6)	0.173
CD4+ (cells/mmc), median (IQR)	599 (359–829)	475 (286–732)	735 (487–985)	633 (389–837)	<0.0001
CD4+ (cells/mmc) >500, n (%)	184 (59.0)	62 (45.9)	88 (72.1)	34 (61.8)	<0.001
HIV-RNA >50 cp/mL, n (%)	58 (18.6)	34 (25.2)	13 (10.7)	11 (20.0)	0.011
Triglycerides (mg/dL), median (IQR)	154 (106–243)	155 (103–242)	147 (104–214)	128 (89–194)	0.152
Total Cholesterol (mg/dL), median (IQR)	186 (157–223)	183 (155–221)	202 (173–234)	188 (170–210)	0.010
HDL Cholesterol (mg/dL), median (IQR)	41 (34–50)	42 (35–55)	43 (36–51)	39 (33–47)	0.335
LDL Cholesterol (mg/dL), median (IQR)	115 (94–134)	103 (80–130)	116 (95–143)	107 (93–138)	0.016
Backbone, n (%)					<0.0001
TDF/FTC or TAF/FTC	144 (46.1)	66 (48.9)	23 (18.8)	55 (100.0)
ABC/3TC	120 (38.5)	35 (25.9)	85 (69.7)	0 (0.0)
Other	48 (15.4)	34 (25.2)	14 (11.5)	0 (0.0)
STR, n (%)	123 (39.4)	0 (0.0)	68 (55.7)	55 (100.0)	<0.0001
Dual regimens, n (%)	24 (7.7)	10 (7.4)	14 (11.5)	0 (0.0)	0.016
Previous PI, n (%)					<0.0001
ATV	87 (27.9)	32 (23.9)	39 (32.0)	16 (29.1)
ATVub	57 (18.3)	24 (17.8)	23 (18.8)	10 (18.2)
DRV	72 (23.1)	17 (12.6)	34 (27.9)	21 (38.2)
LPV	60 (19.2)	43 (31.8)	12 (9.8)	5 (9.1)
fAPV	36 (11.5)	19 (14.1)	14 (11.5)	3 (5.5)
Concomitant TDF interruption, n (%)	46 (14.7)	10 (7.4)	26 (21.3)	10 (18.2)	0.005
HCV, n (%)	97 (31.1)	57 (42.2)	31 (25.4)	9 (16.4)	<0.001
HBV, n (%)	23 (7.4)	10 (7.4)	8 (6.6)	5 (9.1)	0.776
Patients on statins, n (%)	68 (21.8)	29 (21.5)	25 (20.5)	14 (25.5)	0.755

Note: *p-values are for χ2 or Fisher’s exact test and Kruskal-Wallis test.

Abbreviations: RAL, raltegravir; DTG, dolutegravir; EVG, elvitegravir; IQR, inter quartile range; yrs, years; n, number; MSM, men who have sex with men; IVDU, intra venous drug users; cART, combined antiretroviral therapy; cp, copies; eGFR, estimate glomerular filtration rate; STR, single tablet regimens; PI, protease inhibitor; ATV, boosted atazanavir; ATVub, unboosted Atazanavir; DRV, boosted darunavir; LPV, boosted lopinavir; fAPV, boosted fosamprenavir; TDF, tenofovir disoproxil fumarate; TAF, tenofovir alafenamide.

The median time of observation was 21 months (IQR 10–36). The reasons for switching from a PI-containing regimen to an INI-containing regimen were toxicities (31.4%) followed by simplification (31.1%), virological failure (18.6%), drug-drug interactions (12.8%) and other reasons (6.1%). Two hundred and fifty-four patients switched to an INI-containing regimen when their HIV-RNA count was <50 copies/mL: 171 (67.3%) only changed the PI and 83 (32.7%) changed at least one other component of the regimen. Fifty-eight patients switched when their HIV-RNA count was >50 copies/mL: 29 (50.0%) only changed the PI and the other 29 (50.0%) also changed another component of the regimen. Fourteen (24.1%) of the patients with detectable viremia at the time of the switch did not undergo an HIV resistance test or the sample could not be amplified because of the low viremia level; the results of the test in the remaining 44 patients (75.9%) were wild-type in 19 (43.2%), one major mutation in one drug class (NRTI/NNRTI/PI) in 10 (22.7%), at least one major mutation in two classes in 10 (22.7%), and at least one major mutation in three classes in five (11.4%). After combining the choice of INI-containing regimens and the results of previous genotyping tests, 27 patients (61.4%) were treated with a regimen containing three fully active drugs, and 17 (38.6%) were treated with a regimen containing two fully active drugs.

Discontinuation rate

During the period of observation, 117 (37.5%) patients discontinued their INI-containing regimen. The reasons leading to discontinuation were simplification (average 28.2%: 33.7% of RAL, 25% of DTG and 5.9% of EVG discontinuations), virological failure (average 26.4%: 30% of RAL, 5.0% of DTG and 35.3% of EVG discontinuations), toxicities (average 15.4%: 8.7% of RAL, 35% of DTG and 23.5% of EVG discontinuations), drop-outs (average 9.4%: 7.5% of RAL, 15% of DTG and 11.8% of EVG discontinuations), deaths (average 7.7%: 5.1% of RAL, 10% of DTG and 5.9% of EVG discontinuations), drug-drug interactions (average 2.6%: 17.6% of EVG discontinuations), and other reasons (average 10.3%: 11% of RAL and 10% of DTG discontinuations). Only 4.3% of the INI discontinuations were due to neurological toxicity (two in the RAL group and three in the DTG group).

Durability of INI-containing regimens

Figure 1 shows the durability of the different INI-containing regimens. Univariate analysis revealed no difference in the probability of INI discontinuation between the patients treated with RAL, DTG or EVG (p=0.060), but the risk of discontinuation was lower in the case of STRs than in the case of non-STRs (p=0.011). The probability of still being on an INI-containing regimen after 12 months was 79.5% (95% confidence interval [CI] 72.6–86.4) in the case of RAL, 87.5% (95% CI 81.3–93.7) in the case of DTG. and 87.8% (95% CI 78.5–95.1) in the case of EVG.

Figure 1

Time dependent probability of INI-containing regimens discontinuation after switching from PI.

Note: No differences were observed in the three different INI (p=0.06).

Abbreviations: RAL, raltegravir; DTG, dolutegravir; EVG, elvitegravir.

The multivariable Cox regression model (Table 2) showed that the patients treated with DTG were at less risk of discontinuation than those treated with RAL (adjusted hazard ratio [aHR] 0.49, 95% CI 0.26–0.95; p=0.038) as were the patients switching from ubATV in comparison with those switching from boosted ATV (aHR 0.5, 95% CI 0.25–0.99; p=0.048)

Table 2

Multivariate Cox regression model of the continuance of INI-containing regimens after switching from PI

	aHR	IC 95%	p value
Age (x 1 yrs more)	1.00	0.98–1.03	0.708
Previous cART regimens (x 1 more)	1.03	0.97–1.09	0.298
Previous VF	0.72	0.42–1.23	0.228
Male vs Female	1.17	0.71–1.95	0.533
ATVub vs ATV	0.50	0.25–0.99	0.048
DRV vs ATV	1.17	0.61–2.25	0.645
LPV vs ATV	0.73	0.41–1.32	0.302
fAPV vs ATV	0.87	0.43–1.75	0.701
DTG vs RAL	0.49	0.26–0.95	0.038
EVG vs RAL	0.57	0.27–1.20	0.140
TDF/FTC vs ABC/3TC	0.95	0.53–1.71	0.856
Other vs ABC/3TC	0.97	0.50–1.87	0.920
HIV-RNA > 50 cps/mL	1.02	0.60–1.74	0.941
CD4 > 500 cells/mmc	0.94	0.56–1.58	0.808
CD4 nadir < 200 cells/mmc	0.81	0.49–1.34	0.410
HCV coinfection	1.06	0.65–1.70	0.822

Abbreviations: aHR, adjusted hazard ratio; CI, confidence interval; yrs, years; cART, combined antiretroviral therapy; cps, copies; ATV, boosted atazanavir; ATVub, unboosted Atazanavir; DRV, boosted darunavir; LPV, boosted lopinavir; fAPV, boosted fosamprenavir; DTG, dolutegravir; RAL, raltegravir; EVG, elvitegravir; TDF/FTC, tenofovir disoproxil fumarate/emtricitabine; ABC/3TC, abacavir/lamivudine.

Probability of virological failure on the INI-containing regimens

The 12-month probability of not experiencing virological failure on an INI-containing regimen was 92.2% (95% CI 87.2–97.1) in the case of RAL, 99% (95% CI 97.1–1.00) in the case of DTG, and 97.1% (95% CI 92.8–1.00) in the case of EVG.

Univariate analysis revealed a statistically significant difference in the risk of virological failure between the three INIs (p=0.01) that was not confirmed by the multivariable Cox regression model (Table 3). However, the factors associated with an increased risk of virological failure were a greater number of previous antiretroviral regimens (aHR 1.12, 95% CI 1.00–1.24; p=0.046) and an HIV-RNA count >50 copies/mL at the time of the switch from a PI- to an INI-containing regimen (aHR 2.80, 95% CI 1.22–6.45; p=0.015). A trend towards an increased risk of virological failure was also observed in the case of male gender (aHR 2.84; 95% CI 0.98–8.17; p=0.053).

Table 3

Multivariate Cox regression model of the probability of virological failure of INI-containing regimens after switching from PI

	aHR	IC 95%	p value
Age (x 1 yrs more)	1.01	0.97–1.05	0.725
Previous cART regimens (x 1 more)	1.12	1.00–1.24	0.046
Previous VF	1.89	0.74–4,78	0.181
Male vs Female	2.84	0.98–8,17	0.053
ATVub vs ATV	0.63	0.18–2.24	0.473
DRV vs ATV	2.71	0.77–9.57	0.121
LPV vs ATV	1.17	0.39–3.52	0.783
fAPV vs ATV	1.12	0.32–3.96	0.859
DTG vs RAL	0.17	0.02–1.52	0.113
EVG vs RAL	0.92	0.28–3.06	0.898
TDF/FTC vs ABC/3TC	2.87	0.62–13.25	0.176
Other vs ABC/3TC	1.85	0.41–8.46	0.425
HIV-RNA > 50 cp/mL	2.80	1.22–6.45	0.015
CD4 > 500 cells/mmc	0.90	0.32–2.57	0.851
CD4 nadir < 200 cells/mmc	0.44	0.15–1.30	0.138
HCV coinfection	1.01	0.39–2.58	0.986

Abbreviations: aHR, adjusted hazard ratio; CI, confidence interval; yrs, years; cART, combined antiretroviral therapy; cps, copies; ATV, boosted atazanavir; ATVub, unboosted Atazanavir; DRV, boosted darunavir; LPV, boosted lopinavir; fAPV, boosted fosamprenavir; DTG, dolutegravir; RAL, raltegravir; EVG, elvitegravir; TDF/FTC, tenofovir disoproxil fumarate/emtricitabine; ABC/3TC, abacavir/lamivudine.

Metabolic impact

Figure 2 shows the changes from baseline TC levels by previous PI. Sixty-eight patients were being treated with statins before the switch to an INI and five started on statins during the study period; the 22 patients who discontinued statins during the study period (32.3%) were excluded from the metabolic analysis.

Figure 2

Median TC levels from the time of the switch and after 6 and 12 months according to the PI of provenience.

Note: TC levels are expressed in mg/dL.

Abbreviations: tot, total; BL, baseline; m, months; ATV, boosted atazanavir; ATVub, unboosted atazanavir; DRV, boosted darunavir; fAPV, boosted fosamprenavir; LPV, boosted lopinavir.

Multivariate analysis revealed a correlation between the changes in TC levels and the discontinuation of tenofovir disoproxil fumarate (TDF) at the time of the switch from a PI- to an INI-containing regimen (estimate 9.52 mg/dL, standard error [SE] 2.75; p=0.0006), and between TC levels and a previous antiretroviral regimen containing boosted LPV (estimate −9.16 mg/dL, SE 3.43; p=0.008) and boosted fAPV (estimate −21.59 mg/dL, SE 4.34; p<0.0001) (Table 4).

Table 4

multivariable linear mixed effects regression model for the variation of total cholesterol after the switch from a PI- to an INI-containing regimen

	Estimatemg/dL	SE	p value
Female vs male	4.26	2.26	0.061
Age (x one yrs more)	0.07	0.10	0.502
Baseline cholesterol (x 1 unit more)	0.80	0.02	<0.0001
Statins utilization yes vs no	–4.13	2.42	0.089
Concomitant TDF interruption	9.52	2.75	0.0006
Time*	–1.66	2.25	0.461
*ATVub vs ATV	6.52	3.42	0.057
*DRV vs ATV	–0.35	3.55	0.920
*LPV vs ATV	–9.16	3.43	0.008
*fAPV vs ATV	–21.59	4.34	<0.0001

Note: *The estimates refer to parameters associated to the interaction between PIs and the time unit inserted in the model which is 6 months.

Abbreviations: SE, standard error; yrs, years; ATV, boosted atazanavir; ATVub, unboosted Atazanavir; DRV, boosted darunavir; LPV, boosted lopinavir; fAPV, boosted fosamprenavir; TDF, tenofovir disoproxil fumarato; PIs, protease inhibitors; INI, integrase inhibitors.

Multivariate analysis also revealed a correlation between the change from baseline TG levels and previous exposure to boosted LPV (estimate −32.94 mg/dL, SE 13.23; p=0.013) and boosted fAPV (estimate −36.81 mg/dL, SE 17.02; p=0.031) (Table 5).

Table 5

multivariable linear mixed effects regression model for the variation of triglycerides levels after the switch from a PI- to an INI-containing regimen

	Estimate mg/dL	SE	p value
Female vs male	–6.0	8.50	0.475
Age (x one yrs more)	–0.25	0.37	0.499
Baseline triglycerides (x 1 unit more)	0.61	0.02	<0.0001
Statins utilization yes vs no	15.75	9.26	0.093
Concomitant TDF interruption	4.95	10.05	0.622
Time*	–10.62	8.76	0.226
*ATVub vs ATV	2.90	13.26	0.826
*DRV vs ATV	–2.77	13.68	0.839
*LPV vs ATV	–32.94	13.23	0.013
*fAPV vs ATV	–36.81	17.02	0.031

Note: *The estimates refer to parameters associated to the interaction between PIs and the time unit inserted in the model which is 6 months.

Abbreviations: SE, standard error; yrs, years; ATV, boosted atazanavir; ATVub, unboosted Atazanavir; DRV, boosted darunavir; LPV, boosted lopinavir; fAPV, boosted fosamprenavir; TDF, tenofovir disoproxil fumarato; PIs, protease inhibitors; INI, integrase inhibitors.

Only female gender was associated with the changes in HDL cholesterol levels in the multivariate model (estimate 1.82 mg/dL, SE 0.69; p=0.009).

Ten-year cardiovascular risk was assessed in 172 patients using the Framingham algorithm. There was no difference between the risk calculated at the time of the switch from a PI- to an INI-containing regimen and the risk calculated 12 months later (8.5%, IQR 4.5–19.1 vs 8.8%, IQR 4.3–18; p=0.836). After correcting for the previous PI, statin use, TDF discontinuation at the time of the switch, and a high baseline 10-year cardiovascular risk (>10%), the factors associated with risk modification In the multivariable model were age (estimate 0.04%, SE 0.02; p=0.038) and baseline cardiovascular risk (estimate 0.94%, SE 0.01; p<0.0001).

Discussion

The findings of this study of a single-centre cohort of HIV-positive, antiretroviral- experienced patients suggest that switching from a PI- to an INI-containing regimen is safe, long-lasting, and leads to a significant improvement in metabolic profiles.

The overall rate of INI discontinuation due to all causes was comparable with that reported in other cohort studies.13 Initial concerns were raised during the post-marketing use of DTG because the incidence of adverse neuropsychiatric events was higher than that observed in clinical trials.20,21 Our finding that discontinuations due to neurological toxicity accounted for 4.3% of all discontinuations would seen to allay such concerns, which could lead to unnecessary discontinuation.22,23

Approximately one-third of the patients in our cohort changed their PI-containing regimen because of the occurrence of cART-related toxicity, and 18.6% of the patients were in a condition of virological failure at the time of the switch to an INI-containing regimen. It is well known that the use of INI in patients with a long antiretroviral history and previous virological failures may predispose to an increased risk of INI discontinuation due to virological inefficacy when a regimen with a low genetic barrier is used (ie RAL or EVG).11,24 At the time of the switch, the failing patients received two or three active drugs in respectively 38.6% and 61.4% of cases, and none of the patients received only one active drug on the basis of the interpretation of historical genotypes. The patients treated with RAL had a longer history of previous therapy, and a history of intravenous drug use and HCV co-infection, all of which frequently characterise the patients who received the first INI available for clinical use, and may be associated with a reduced probability of cART adherence and shorter duration of the current regimen.25,26 They also presented a higher rate of uncontrolled HIV viremia at the time of the switch than the patients treated with DTG or EVG, and were thus in suboptimal condition for switching to a low genetic barrier regimen.11,24 Finally, more than one-third of the patients who discontinued a RAL-containing regimen did so for reasons of simplification, and it is likely that the advent of drugs to be administered once a day and the reduced pill burden affected the durability of the RAL-containing regimens.27,28 All of these factors may partially explain the difference in the durability of the DTG- and RAL-containing regimens.

Another factor potentially influencing the greater durability of DTG-containing regimens is the possibility of using DTG in an STR as the patients on an STR were less likely to discontinue an INI-containing regimen than those receiving multiple tablets.29

Our univariate analysis showed that there was an increased risk of virological failure in the patients who switched to RAL than those who switched to DTG. Moreover, approximately one third of the RAL- and EVG-containing regimens were discontinued due to virological failure. However, the significant difference between regimens was lost in the multivariate model, which showed that an increased risk of virlogical failure was associated with uncontrolled HIV-RNA at the time of the switch and a greater number of previous antiretroviral regimens. All of these factors are known to be associated with an increased risk of virological failure in patients on low genetic barrier cART.11,30,31 A trend towards an increased risk of virological failure (albeit of borderline statistical significance) was observed in the case of males, which conflicts with some published data indicating a greater risk among females.32

In terms of metabolic profiles, there was a favourable association with a reduction in TC levels in patients coming from boosted LPV- and boosted fAPV-containing regimens. This confirms the findings of previous studies showing an improvement in metabolic profiles after switch from a boosted PI to an INI.12,30 Accordingly, there was also a favourable association between post-switch TG levels and previous exposure to boosted LPV and boosted fAPV.16,33 HDL cholesterol levels were not associated with previous PI use, but higher levels were associated with female gender.34 It is known that females have higher HDL cholesterol levels than males, which has a cardioprotective function especially in the pre-menopausal period, but the gender-related reasons for the difference in HDL levels are not fully understood.35

There was a significant increase in TC levels in the patients who discontinued TDF at the same time as they switched from a PI- to an INI-containing regimen, thus confirming previous findings showing that TDF has a statin-like effect that is unmasked when it is discontinued.36,37

An association between weight gain and a switch to INI-containing regimens has been postulated,6–8 but a recent report based on the SCOLTA observational cohort did not provide any evidence of a relationship between INIs and weight gain, and it has been shown cabotegravir does not have this effect.38–40 Nevertheless, this potential side effect of INI-containing regimens should be considered and balanced against their potential advantage.

Approximately one-third of the patients in our cohort had HCV co-infection and 24% were intravenous drug users, and a higher percentage of both switched to RAL. The advent of direct antiviral agents (DAAs) has prompted switching from PI- to INI-containing regimens as INIs have fewer drug-to-drug interactions, and RAL is the INI that potentially has fewer drug-to-drug interactions with DAAs.41

The use of ubATV in order to avoid the untoward metabolic effects of the ritonavir booster was once widespread, particularly in Italy, but this strategy has now been replaced by new INI-containing simplification strategies that have been demonstrated to be safe in elderly patients at high cardiovascular risk.16,42,43 The switch from ubATV to an INI-containing regimen led to greater durability (albeit of borderline statistical significance) than a switch to boosted ATV. This may have been partially due to the large number of patients switched for reasons of simplification or toxicity in this sub-group of patients.

Approximately one-quarter of the patients in our cohort were taking lipid-lowering statins at the time of the switch. This percentage is higher than that found in previous studies, which have shown the under-prescription of statins to people living with HIV, but in line with the results of a recent study by Gatell et al involving patients at high cardiovascular risk or who were older than fifty years.16,44 However, approximately one-third of our patients discontinued lipid-lowering treatment during the study period.

We did not observe any improvement in 10-year cardiovascular risk as assessed using the Framingham algorithm 12 months after the switch from a PI- to an INI-containing regimen. This is in line with the results of a recent study by Taramasso et al, who found that switching from a boosted PI- or efavirenz-containing regimen to an INI- or rilpivirine-containing regimen did not reduce cardiovascular risk as assessed by the Framingham algorithm despite a significant improvement in lipid profiles.45 However, it must be remembered that this way of assessing cardiovascular risk does not take into account the potential impact of the components of the antiretroviral regimen as some antiretroviral agents (eg abacavir and PIs) have been associated with increased cardiovascular risk, although it is likely that the effect of antiretroviral treatment is more marginal than the classic cardiovascular risk factors. Moreover, it has been shown that antiretroviral agents only affect the risk of patients at higher risk.46,47 Taken together with those of previously published studies, our findings suggest that modifying cART has a limited impact on the cardiovascular risk calculated using the Framingham score, and highlight the importance of concentrating on classic modifiable cardiovascular risk factors.

This study has a number of limitations. First of all, its retrospective design exposes it to potential errors due to omissions or the lack of data in clinical case files. Secondly, its single-centre nature limits the applicability of the results to different settings. Thirdly, the choice of switching from a PI- to an INI-containing regimen was not controlled but based on the clinical judgement of individual physicians. Finally, and as discussed above, the patients treated with RAL had a longer previous antiretroviral history than those treated with DTG or EVG, were exposed to a heterogeneous series of antiretroviral regimens, and were more likely to be co-infected with HCV.

Conclusion

On the basis of our findings, switching from a PI- to an INI-containing regimen can be considered a valid option for patients under virological control. However, the virological efficacy of the regimens may be affected by the number of previous antiretroviral regimens in a patient’s history. DTG-containing regimens seem to be more durable than RAL-containing regimens probably because DTG can be used in a once-daily STR. Patients previously treated with boosted LPV and boosted fAPV showed a significant improvement in lipid profiles. However, as there was no reduction in cardiovascular risk after the switch, it seems that modifying cART is not enough by itself and so attempts to modify classic cardiovascular risk factors should be continued.