Suchergebnisse

IntroductionIn clinical trials, toxicity leading to discontinuation of tenofovir (TDF) is a rare occurrence (3% by two years)[1, 2]; however, in clinical practice it seems to be higher. Previous studies suggested that TDF toxicity is higher when it is co‐administered with ritonavir‐boosted protease inhibitors (PI/r)[3, 4]. The aim of this study is to assess the rate of TDF discontinuations in clinical practice and to explore associated factors.MethodsAll previously antiretroviral‐naïve patients initiating a TDF‐containing regimen were selected from the ICONA cohort, unless they were positive for hepatitis B. The primary outcome was TDF discontinuation (>30 days) regardless of the reason, the secondary was TDF discontinuation due to toxicity. All analyses were repeated for the isolated stop of TDF (no stop of associated drugs). The main reason for discontinuation as reported by the treating physicians was used to classify stops. Kaplan–Meier (KM) analysis and Cox proportional hazards model were used.ResultsA total of 3,303 naïve patients were enrolled: 674 (20.4%) were female, the median age was 38 years (32–45), 55% were on PI/r‐based regimen and 45% on NNRTI; 80% of calculated estimated glomerular filtration rates (eGFR) were >90 ml/min. The probability of discontinuation of TDF regardless of the reason was 10% (95% CI 8–11) at two years, 20% by eight years. The causes of discontinuation were: toxicity (33%), failure (10%), non‐adherence (21%), simplification (16%) and other/unknown causes (20%). The five‐year KM estimates in the PI/r vs. not PI/r groups were 23% vs. 10%, respectively (log‐rank p=0.0001), for the outcome of stopping regardless of the reason, and 8% vs. 4% (p=0.18) for discontinuation due to toxicity. In a multivariable Cox model, PI/r use and lower body weight were associated with increased risk of discontinuing TDF regardless of the reason; lower eGFR at baseline was associated with TDF discontinuation for toxicity and PI/r use was associated with isolated stop of TDF (Figure). No differences in rates of TDF discontinuations between PIs were found.ConclusionIn our cohort, the observed frequency of TDF discontinuations was low although higher than estimated in clinical trials (10% by two years). Co‐administration of TDF with PI/r was associated with an increased rate of TDF discontinuations. This finding should guide further investigations of the mechanism that may have led to discontinuation of TDF in patients using PI/r.

IntroductionPI/r monotherapy has been suggested as an attainable maintenance strategy in patients achieving stable HIV suppression in plasma. The objective of trial was to compare the virological outcome of two different PI/r QD monotherapy strategies (LPV/r or DRV/r) with maintaining a triple PI/r‐based ARV regimen.Material and MethodsPhase III, open‐label, non‐inferiority (−12% margin), randomized trial of HIV adults with HIV‐RNA <50 cp/mL for at least 48 weeks while on PI/r‐based cART, CD4 nadir >100 cell/mm3, without previous PIs virological failure. Eligible patients were randomized to continue PI/r+2NRTIs (Arm A), to switch to LPV/r 800/200 mg QD monotherapy (Arm B), or to switch to DRV/r 800/100 mg QD monotherapy (Arm C). Primary endpoint was proportion of patients with plasma HIV‐1 RNA <50 cp/mL (TLOVR) at 48w by intent to treat (ITT) analysis (missing/re‐induction=failure). FDA snapshot and ITT switch‐included analysis (ITT‐SI) were also used. In ITT‐SI, patients who had <50 copies/mL at 96w were counted as successes even if they had confirmed HIV‐RNA elevations and had subsequently successfully intensified by NRTI.ResultsDue to slow recruitment, only 103 patients were included. No differences were observed between the three arms with respect to gender, age, HIV transmission, CD4 nadir and at screening. At randomization, 61 patients were receiving TDF/FTC (60%), 19 ZDV/3TC (18%), 8 ABV/3TC (8%), 75 LPV/r (73%), 13 ATV/r (13%), 4 DRV/r (4%). Differences in proportion of virological success by groups using Arm A as comparator according to FDA TLOVR were reported in Figure 1. Similar results were obtained by Snapshot analysis. Of 14 patients with virological failure, 8 patients restarted triple therapy with 2NRTI and 7/8 regained a VL <50 cp/mL over time. According to ITT‐SI analysis, 96 week differences [95% CI] were −5.7 [−29.6; +18.2] in Arm B, and +19.6 [−1.6; +40.8] in Arm C. A GRT was performed in 6/14 patients (one not amplifiable; four without mutations; one showed E138A).ConclusionsCompared to maintaining a PI/r‐based triple ARV regimen, LPV/r QD monotherapy tended to have higher rate of virological failure and of discontinuation due to adverse event. In contrast, the response rate at week 96 during DRV/r QD mono‐therapy was non‐inferior to that of triple PI/r‐based ARV therapy. A re‐induction with 2NRTI was adequate to obtain an undetectable viremia in most of patients with virological failure.

IntroductionSeveral resistance mutations have been shown to affect viral fitness, and the presence of certain mutations might result in clinical benefit for patients kept on a virologically failing regimen due to an exhaustion of drug options. We sought to quantify the effect of resistance mutations on CD4 slopes in patients undergoing episodes of viral failure.Materials and MethodsPatients from the EuroSIDA and UK CHIC cohorts undergoing at least one episode of virological failure (>3 consecutive RNA measurements >500 on ART) with at least three CD4 measurements and a resistance test during the episode were included. Mutations were identified using the IAS‐US (2013) list, and were presumed to be present from detection until the end of an episode. Multivariable linear mixed models with a random intercept and slope adjusted for age, baseline CD4 count, hepatitis C, drug type, RNA (log‐scale), risk group and subtype were used to estimate CD4 slopes. Individual mutations with a population prevalence of >10% were tested for their effect on the CD4 slope.ResultsA total of 2731 patients experiencing a median of 1 (range 1–4) episodes were included in this analysis. The prevalence of any resistance per episode was 88.4%; NNRTI resistance was most common (78.5%). Overall, CD4 counts declined by 17.1 (−19.7; −14.5) cells per year; this decline was less marked with partial viral suppression (current HIV RNA more than 1.5 log below the setpoint; p=0.01). In multivariable models adjusting for viral load, CD4 decline was slower during episodes with detected resistance compared to episodes without detected resistance (21.0 cells/year less, 95% CI 11.75–30.31, p<0.001). Among those with more than one resistance mutation, there was only weak evidence that class‐specific mutations had any effect on the CD4 slope (Table 1). The effects of individual mutations (incl. M184V) were explored, but none were significantly associated with the CD4 slope; for these comparisons, a Bonferroni‐corrected p‐value level was 0.003.ConclusionsIn our study population, detected resistance was associated with slightly less steep CD4 declines. This may be due to a biological effect of resistance on CD4 slopes, or other unmeasured factors such as poor adherence among individuals without resistance. Among individuals with detected drug resistance, we found no evidence suggesting that the presence of individual mutations was associated with beneficial CD4 slope changes.

IntroductionSexually transmitted diseases (STDs) data collected in HIV+ patients could be used as indicator of risky sexual behaviour possibly linked to HIV transmission. We described the STDs incidence over time and identified higher incidence factors.MethodologyAll patients in the ICONA Foundation Study enrolled after 1998 were included. STDs considered: any‐stage syphilis, human papilloma virus (HPV) diseases, gonococcal and non‐gonococcal urethritis, herpes simplex virus (HSV) genital ulcers, vaginitis and acute hepatitis B virus (HBV), hepatitis A virus (HAV), and hepatitis C virus (HCV) infections (only for non‐IVDU (intravenous drug user) patients). STDs incidence rate (IR): number of STDs divided by person years of follow‐up (PYFU). Calendar periods: 1998–2002, 2003–2007 and 2008–2012. Predictors of STDs occurrence were identified using Poisson regression and sandwich estimates for the standard errors were used for multiple STD events.ResultsData of 9,168 patients were analyzed (median age 37.3 (SD=9.3), 74% male, 30% MSM). Over 46,736 PYFU, 996 episodes of STDs were observed (crude IR 17.3/1,000 PYFU). Median (IQR) CD4/mmc and HIV‐RNA/mL at STD: 433 (251–600) and 10,900 (200–63,000). Highest crude IRs were observed for any‐stage syphilis (3.95, 95% CI 3.59–4.35), HPV diseases (1.96, 1.71–2.24) and acute hepatitis (1.72, 1.49–1.99). At multivariable analysis (variables of adjustment shown in Figure 1), age (IRR 0.82 per 10 years younger, 95% CI 0.77–0.89), MSM contacts (IRR 3.03, 95% CI 2.52–3.64 vs heterosexual) and calendar period (IRR 1.67, 95% CI 1.42–1.96, comparing 2008–2012 with 1998–2002) significantly increased the risk of acquiring STDs. Moreover, having a HIV‐RNA >50 c/mL (IRR 1.44, 95% CI 1.19–1.74 vs HIV‐RNA <50 c/mL) and current CD4+ cell count <100/mmc (IRR 4.66, 95% CI 3.69–5.89, p<0.001 vs CD4+ cell count >500) showed an increased risk of STDs. Being on ARV treatment significantly reduced the risk of developing an STD (IRR 0.37, 95% CI 0.32–0.43) compared to ART‐naïve people, even in the situation of temporary interruption of treatment (IRR 0.51, 95% CI 0.39–0.43) (see Figure 1).ConclusionsThe overall incidence of STDs has been increasing in the recent years. Interventions to prevent STDs and potential further spread of HIV infection should target the recently HIV diagnosed, the young population and MSM. Being on ARV treatment (potentially an indicator of whether a person is regularly seen for care) seems to reduce the risk of acquiring STDs independently of its viro‐immunological effect.

IntroductionIt is uncertain if plasma HIV‐1 tropism is an independent predictor of short‐term risk of clinical progression / death, in addition to the CD4 count and HIV RNA level. We conducted a nested case‐control study within EuroSIDA to assess this question amongst people with current HIV RNA level >1000 copies/mL, including both people on ART and those ART naïve.MethodsPeople with an AIDS diagnosis or who died from any causes for whom there was a stored plasma sample with HIV‐1 RNA (VL)≥1,000 copies/mL available in the time window of 3–12 months prior to the event were identified. At least one control was selected for each case matched for age, VL and HCV status at the time of sampling. Controls were event‐free after a matched duration of time from the date of sampling. Plasma HIV tropism was estimated using 454 and population sequencing (PS). Non‐R5 HIV was defined as: (a) ≥2% of sequences with a Geno2Pheno (G2P) FPR≤3.75% by 454, and (b) a G2P FPR≤10% by PS. We also compared CD4 slopes over the 12 months following the date of sampling using a linear mixed model with random intercept according to HIV tropism and ART status.ResultsThe study included 266 subjects, 100 cases and 166 controls, with sample taken on average in 2006; 23% and 24% had non‐R5 HIV by 454 and PS respectively. There were 19% women, 25% MSM, 92% Caucasians, 22% HCV+. At the time of sampling, 26% were ART‐naïve, 25% had started but were off ART and 49% were receiving ART. The median age, CD4 and viral load was 41 years, 350 cells/mm3 and 4.81 log c/mL, respectively. Baseline characteristics were well balanced by tropism. Factors independently associated with clinical progression or death were female gender (OR=2.12; 95% CI=1.04, 4.36; p=0.038), CD4+ count (OR=0.90 per 100 cells/mm3 higher; 95% CI 0.80, 1.00; p=0.058), being on ART (OR=2.72; 95% CI 1.15, 6.41; p=0.022) and calendar year of sample (OR=0.84 per more recent year; 95% CI=0.77, 0.91; p<0.001). Baseline plasma tropism was not an independent risk factor for clinical progression or death by either 454 or PS. No significant interaction was observed between tropism and ART status. There were no significant differences in the CD4+ slope within or between tropism groups.ConclusionsPlasma HIV‐1 tropism does not appear to add to the ability of CD4 count and viral load to predict the short term risk of AIDS and death outcomes, even with 454 sequencing.

IntroductionIn a recent clinical trial (ACTG 5257), no difference in viral failure (VF) of a first‐line cART containing atazanavir/r (ATV/r) or darunavir/r (DRV/r) was found [1]. For the endpoint of discontinuation due to intolerance, the regimen with DRV/r was superior to that of ATV/r (49% of the stops of ATV/r were attributed to jaundice or hyperbilirubinemia). These and other intolerances to ATV/r remain a concern for clinicians.MethodsParticipants in the ICONA Foundation Study who started cART with 2NRTI+ ATV/r or DRV/r while ART‐naïve were included. Several endpoints were evaluated: confirmed VF>200 copies/mL after six months of therapy, discontinuation of DRV/r or ATV/r for any reasons or because of intolerance/toxicity (as reported by the treating physician) and the combined endpoint of VF or stop. Survival analysis with Kaplan–Meier curves and Cox regression model stratified by clinical site was used. Patients' follow‐up accrued from cART initiation to the date of the event or to the date of last available visit/viral load.Results894 patients starting 2NRTI+ATV/r and 686 2NRTI+DRV/r when ART‐naïve on average in 2011 (IQR: 2010–2012) were studied. Most common NRTIs used were FTC/TDF (84%) and ABC/3TC (12%). Median age was 40 years, 22% females, 44% heterosexuals. Patients starting ATV/r were more likely to be hepatitis B/C infected (2% and 14% vs 1% and 9%, p=0.001), they started one year earlier (2011 vs 2012, p=0.001), were more likely to be enrolled in sites located in the north of Italy (63% vs 54%, p=0.04), started cART less promptly after HIV diagnosis (5 vs 2 months, p=0.02) and less likely to have started TDF/FTC (83% vs 85%, p=0.02). By two years of cART, 9.8% (95% CI 7.6–12.0) of those starting ATV/r experienced discontinuation due to intolerance/toxicity vs 6.5% in DRV/r group (95% CI 4.2–8.8, p=0.04). After controlling for several potential confounders (age, gender, nation of birth, mode of HIV transmission, hepatitis co‐infection status, AIDS diagnosis, nucleoside pair started, baseline CD4 count and viral load and year of starting cART) the relative hazard (RH) for ATV/r vs DRV/r was 2.01 (95% CI 1.23, 3.28, p=0.005). There were no statistical differences detected for any of the other outcomes.ConclusionsAlthough unmeasured confounding cannot be ruled out, our results seem to be consistent with those of the ACTG 5257. When all cause discontinuations were considered, or the composite endpoint of treatment failure, there was no difference between ATV/r‐ and DRV/r‐based regimens.

AbstractIntroductionConcerns about dolutegravir (DTG) tolerability in the real‐life setting have recently arisen. We aimed to estimate the risk of treatment discontinuation and virological failure of DTG‐based regimens from a large cohort of HIV‐infected individuals.MethodsWe performed a multicentre, observational study including all antiretroviral therapy (ART)‐naïve and virologically suppressed treatment‐experienced (TE) patients from the Icona (Italian Cohort Naïve Antiretrovirals) cohort who started, for the first time, a DTG‐based regimen from January 2015 to December 2017. We estimated the cumulative risk of DTG discontinuation regardless of the reason and for toxicity, and of virological failure using Kaplan–Meier curves. We used Cox regression model to investigate predictors of DTG discontinuation.ResultsAbout 1679 individuals (932 ART‐naïve, 747 TE) were included. The one‐ and two‐year probabilities (95% CI) of DTG discontinuation were 6.7% (4.9 to 8.4) and 11.5% (8.7 to 14.3) for ART‐naïve and 6.6% (4.6 to 8.6) and 7.6% (5.4 to 9.8) for TE subjects. In both ART‐naïve and TE patients, discontinuations of DTG were mainly driven by toxicity with an estimated risk (95% CI) of 4.0% (2.6 to 5.4) and 2.5% (1.3 to 3.6) by one year and 5.6% (3.8 to 7.5) and 4.0% (2.4 to 5.6) by two years respectively. Neuropsychiatric events were the main reason for stopping DTG in both ART‐naïve (2.1%) and TE (1.7%) patients. In ART‐naïve, a concomitant AIDS diagnosis predicted the risk of discontinuing DTG for any reason (adjusted relative hazard (aRH) = 3.38, p = 0.001), whereas starting DTG in combination with abacavir (ABC) was associated with a higher risk of discontinuing because of toxicity (aRH = 3.30, p = 0.009). TE patients starting a DTG‐based dual therapy compared to a triple therapy had a lower risk of discontinuation for any reason (adjusted hazard ratio (aHR) = 2.50, p = 0.037 for ABC‐based triple‐therapies, aHR = 3.56, p = 0.012 for tenofovir‐based) and for toxicity (aHR = 5.26, p = 0.030 for ABC‐based, aHR = 6.60, p = 0.024 for tenofovir‐based). The one‐ and two‐year probabilities (95% CI) of virological failure were 1.2% (0.3 to 2.0) and 4.6% (2.7 to 6.5) in the ART naïve group and 2.2% (1.0 to 3.3) and 2.9% (1.5 to 4.3) in the TE group.ConclusionsIn this large cohort, DTG showed excellent efficacy and optimal tolerability both as first‐line and switching ART. The low risk of treatment‐limiting toxicities in ART‐naïve as well as in treated individuals reassures on the use of DTG in everyday clinical practice.

BackgroundUse of unboosted atazanavir (ATV400) is approved in the US but not in Europe [1]. Due to pharmacokinetic interactions it should not be used with tenofovir but can be used with abacavir/lamivudine (ABC/3TC) [1, 2,3]. Effectiveness data of ATV400+ABC/3TC as a switch strategy in clinical routine however are scant.MethodsWe evaluated treatment outcomes of ATV400+ABC/3TC in pre‐treated subjects in the EuroSIDA cohort with undetectable HIV‐1 RNA, and previous ABC experience or assumed previous HLA B57*01 testing. We performed a time to loss of virologic response (TLOVR below 50 c/mL) and a snapshot analysis at 48, 96 and 144 weeks. Virological failure (VF) was defined as a confirmed plasma HIV‐1 RNA >50 c/mL.ResultsWe included 258 subjects: 176 (68%) male, median age 46 (IQR 41, 53) y, 225 (87.2%) white, hepatitis virus co‐infection 36%, median baseline CD4 at switch 540 cells (360, 700), time with VL≤ 50 c/mL 45 (24, 69) months. The median calendar year of switching was 2008 (2006, 2010). The 3rd drug in previous regimen was ATV/r in 70 (27.1%), other PI/r in 25 (9.7%), and other 163 (63.2%); 85 (32.9%) had previously failed with a PI. The virological response at 48/96/144 weeks was, respectively, 89.5 [95% CI 85.1, 92.9]/88 [83.4, 91.7]/86.3% [81.6, 90.4] (TLOVR, composite endpoint failure or stop for any reason) and the risk of VF was 8.3/7.6/7.6%. In the snapshot analysis HIV‐RNA was below 50 c/mL in 72.5/65.9/51.6%, respectively, and >50 c/mL in 6.6/5.4/4.3%. Only 0.8/1.9/3.5% discontinued due to adverse events. There was a high rate of discontinuations due to other reasons or with VL missing in window. In a multivariate adjusted analysis, we observed an association between VF and nadir CD4 count (RH 0.60 [0.39, 0.93] per 100 cells higher), time with VL≤50 c/mL (RH 0.89 [0.81, 0.98] per 6 months longer) and previous failure with a PI (3.04 [1.36, 6.80]). There was no association with gender, age, hepatitis virus co‐infection, CD4 count at time of switching or third drug used in the previous regimen.ConclusionsA switch to ATV400+ABC/3TC in selected subjects with HIV‐RNA below 50 c/mL is associated with relatively low rates of VF and discontinuation due to adverse events. Use might be considered in those with long‐term suppression and without prior PI failure. Larger cohorts are required to further define the appropriate selection criteria.

IntroductionEmtricitabine/rilpivirine/tenofovir (EVP) is a fixed‐dose combination of antiretrovirals (ARV) approved by the European Medicines Agency in November 2011 and introduced in Italy in February 2013. It is a once‐a‐day single tablet and is licensed in Europe for use only in ARV‐naïve patients with a viral load (VL) ≤100,000 copies/mL.ObjectiveTo identify factors that may be associated with the use of EVP as first‐line regimen in HIV‐infected individuals starting cART from ARV‐naïve in Italy.MethodsClinical sites in ICONA Foundation Study in which ≥1 person had started EVP were selected for this analysis. From these we included all patients who started an EVP‐based cART regimen as well as those starting other cART regimens after the date of introduction of EVP at the site (after February 2013 in any case) and with a VL ≤100,000 copies/mL from ARV‐naïve. Characteristics at the time of starting cART were compared using chi‐square test and unadjusted and adjusted logistic regression analysis. Factors investigated included: gender, mode of HIV transmission, time from HIV diagnosis, CD4 count, nation of birth, AIDS, HCV‐status, age, CD8 count, VL, diabetes, smoking, total and HDL cholesterol, eGFR, blood glucose, level of education and employment and site location. Factors showing unadjusted associations with a p‐value of 10% or smaller, were retained in the multivariable model.ResultsWe identified 183 patients starting EVP and 173 starting the control regimen from 23 sites. The number of patients starting EVP included at each site ranged from 1 to 12 and the number of those starting the control regimen was similar. The most frequently used drugs in the concurrent group were: TDF (75%), FTC (74%), DRV (39%), ATV/r (26%), LPV/r (9%), EFV (13%) and RAL (14%). In univariable analysis, there were differences in median CD4 count (390 cells/mm3 in EVP versus 348 in controls, p=0.002), time from HIV diagnosis to starting cART (11 versus 3 months, p=0.001) and prevalence of students (6% versus 3%, p=0.07). No differences were observed for all other factors examined. The table shows estimates of the odds ratios (OR) for factors included in the multivariable model.ConclusionsCD4 count was higher in EVP‐treated patients compared to controls. Guidelines suggest avoiding initiation of EVP in presence of high VL, possibly explaining this residual difference in CD4. There was also a tendency to prescribe EVP to people with perceived lower adherence or hesitant to start or perhaps with a slow progressing disease.

IntroductionSerious non‐AIDS events (SNAE) are frequent in HIV patients receiving cART. Current CD4 count was shown to be more strongly associated with infective compared to not‐infective SNAE and unable to predict cardiovascular events. We investigated the relationship between baseline and current CD4 count and the risk of both infective and non‐infective SNAE in HIV‐positive patients according to current ART use.MethodsWe included all HIV‐positive persons enrolled in the ICONA Foundation Study cohort who had at least one follow‐up visit. SNAE were grouped in infective (pneumonia, sepsis, endocarditis and meningitis) and non‐infective (malignancies, chronic kidney disease, cardiovascular events, hepatic events and pancreatitis) aetiology. Incidence of these event groups were calculated overall and according to baseline and current CD4 count (grouped as 0–200, 201–350, 351–500, 501–750, and >750 cells/mm3). Participants' follow‐up accrued from the date of enrolment (baseline) to a diagnosis of SNAE or their last visit. An event was defined the first time one of the considered SNAE occurred so that each person contributed a single event. A Poisson regression model for each of the two endpoints was used.ResultsA total of 10,822 patients were included (25.3% females, 38.2% heterosexuals) and 26.6% had hepatitis co‐infections. Median age was 36 (IQR 31–42) years. Overall, 423 not‐infective and 385 infective SNAE were included. The most frequent non‐infective SNAE were malignancies (n=202) and the most frequent infective SNAE were pneumonia (n=289). Crude rates of non‐infective SNAE were 0.78, 1.08 and 0.80/100 PYFU, and those of infective SNAE were 1.00, 0.51 and 0.66/100 PYFU in ART naive, currently off and currently on ART patients, respectively. Higher current CD4 count was associated with reduced risk of both infective and non‐infective SNAE in naives and in patients on ART (Table 1). The association was less strong in the group which suspended ART (for non‐infective SNAE the p value for interaction between current log‐CD4 and ART‐status, p=0.004). Conversely, we found no association between baseline CD4 count and risk of non‐infective SNAE in people treated with ART (p value for interaction = 0.0001). When CVD were considered separately, there was no association with CD4 count (not shown).ConclusionsOur findings show that, differently from ART naive, in ART‐treated patients, non‐infective SNAE are predicted by current but not by baseline CD4, suggesting that immune restoration is crucial to prevent these events.

IntroductionThe aim of this study was to analyze the likelihood and the predictors of discontinuation of first‐line regimen in the late HAART era.MethodologyAn observational multi‐center analysis of HIV‐positive patients enrolled in ICONA. Patients eligible were those starting a first‐line HAART after 1 January 2008. Discontinuation was defined as stop and/or switch of at least one drug of the regimen. All causes of discontinuation, as reported by the treating physician, were evaluated and cumulative risk of stopping was investigated according to age, gender, co‐morbidity, years since starting HAART, immuno‐virological status, third drug and backbone of the first regimen. Kaplan Meier (KM) analysis and Cox proportional hazards model were used for the outcome discontinuation of ≥1 drug regardless of the reason. For the KM estimates a competing risk approach was used to estimate the contribution of each of the reasons over time to the cumulative risk of stopping over time.ResultsData of 1759 patients who started first HAART and had at least one month of clinical follow‐up were analyzed. The overall discontinuation risk was 33% over a median follow‐up of 12 months. The likelihood of discontinuation by KM was 27% by one year (95% CI 25–29) and 41% by two years (95% CI 38–44). Main reason for stopping at least one drug in regimen was simplification (10%), followed by intolerance (7%), toxicity (5%), failure (2%) and other causes (8%). Estimates of the cumulative risk of discontinuation of ≥1 drug over time and according to reason are shown in Figure 1. In a multivariable Cox model independent predictors of discontinuation regardless of the reason were: longer time from HIV diagnosis to date of starting HAART (hazard ratio [HR] 0.96; 95% CI 0.93–1.00; p=0.039), regimens containing ZDV/3TC (HR 2.86; 95% CI 1.42–5.76; p=0.003 vs TDF/FTC) and an NNRTI‐based regimen (HR 2.47; 95% CI 0.91–6.72; p=0.07 vs regimens not NNRTI‐based).ConclusionsIn a previously reported analysis of the ICONA data [1], the overall risk of discontinuation of first‐line HAART was 36% with 21% due to intolerance/toxicity. In this updated analysis, the main reason for stopping is simplification (accounting for 32% of stops), reflecting the recent changes in recommendations aimed to minimize drug toxicity, enhancing adherence and quality of life.

IntroductionWe aimed at evaluating the efficacy and durability of a lopinavir/ritonavir‐based dual regimen (LPV/r‐DR) in virologically controlled HIV‐infected individuals in current clinical practice.MethodsPatients who have initiated for the first time a LPV/r‐DR with HIV‐RNA<50 copies/mL were included in this observational study. The main endpoints were: time to virological rebound [VR=time of first of two consecutive viral loads (VL)>50 copies/mL] and time to experience either a single VL>200 copies/mL or discontinuation/intensification (= treatment failure, TF). Individuals' follow‐up accrued from the date of starting the LPV/r‐DR to event or last available VL. Kaplan‐Meier curves and Cox regression analysis were used. Covariates included in the multivariable analysis were gender, age, route of transmission, hepatitis co‐infection, calendar year of starting the DR, nadir CD4+ count, VL at initiation of first cART, previous failures to protease inhibitors (PIs), time with undetectable VL before starting the DR and the type of DR [nucleoside reverse transcriptase (NRTI), non‐NRTI (NNRTI), raltegravir or maraviroc, with NRTI as reference group]. Results are presented as median (Q1, Q3) or frequency (%) as appropriate.Results108 individuals followed for 18 (7, 30) months were included; baseline (BL) characteristics are detailed in Table 1.LPV/r was associated with a NRTI in 51, with a NNRTI in 10, with raltegravir in 29, and with maraviroc in 18 individuals. By 36 months from switching to the LPV/r‐DR, the proportion of individuals with VR and TF was 10% (95% CI 3–17%) and 36% (95% CI 22–50%), respectively. We did not find any factor independently associated with the risk of VR. Older age (ARH=0.49 (95% CI 0.30–0.78) per 10 years older; p=0.003) was found to be protective from TF. Mean (SE) CD4+ cells/µL increase from BL to month 36 resulted significant: 195 (40.1) cells/µL (p=0.0028). We did not observe significant changes in AST, ALT, eGFR (MDRD formula), triglycerides and both total and HDL‐cholesterol.ConclusionsA LPV/r‐DR can be considered a valuable option in patients with HIV‐RNA<50 copies/mL and ongoing toxicity from the third drug of the regimen, although up to 17% of patients showed viral rebound by 3 years. Older patients are at lower risk of failure with this strategy, but larger sample size is needed to identify who might benefit from this strategy instead of others.