The relation between baseline HIV drug resistance and response to antiretroviral therapy: re-analysis of retrospective and prospective studies using a standardized data analysis plan

To assess the relation between resistance to antiretroviral drugs for treatment of HIV-1 infection and virological response to therapy, results from 12 different studies were re-analysed according to a standard data analysis plan. These studies included nine clinical trials and three observational cohorts. The primary end-point in our analyses was virological failure by week 24. Baseline factors that were investigated as predictors of virological failure were plasma HIV-1 RNA, the number and type of new antiretroviral drugs in the regimen, and viral susceptibility to the drugs in the regimen, determined by genotyping or phenotyping methods. These analyses confirmed the importance of both genotypic and phenotypic drug resistance as predictors of virological failure, whether these factors were analysed separately or adjusted for other baseline confounding factors. In most of the re-analysed studies, the odds of virological failure were reduced by about twofold for each additional drug in the regimen to which the patient's virus was sensitive by genotyping methods, and by about two- to threefold for each additional drug that was sensitive by phenotyping.     

Pharmacokinetics of reduced-dose indinavir/ritonavir 400/100 mg twice daily in HIV-1-infected Thai patients

OBJECTIVE: To study the pharmacokinetics of indinavir/ ritonavir 400/100 mg twice daily in antiretroviral-naive patients at Srinagarind Hospital in Khon Kaen, Thailand. METHODS: This was a steady-state, open-label pharmacokinetic study of 19 patients. A 12 h pharmacokinetic curve was recorded after an overnight fast. Plasma levels of indinavir and ritonavir were determined by a validated HPLC method. Virological failure was defined according to the most recent US Department of Health and Human Services guidelines as a viral load above 400 copies/ml at week 24. RESULTS: Median baseline values for CD4 and viral load were 13cells/mm3 and 167000 copies/ml, respectively. The median (interquartile ranges) for indinavir AUC, Cmax and Cmin were 18.1 (15.3-23.8) mg/l x h, 4.1 (3.6-4.8) mg/l and 0.17 (0.12-0.30) mg/l, respectively. These values represent 37%, 39% and 24% of the AUC, Cmax and Cmin values found, respectively, for the indinavir/ritonavir 800/100 mg dose in HIV-1-infected Thai patients. Short-term virological response was satisfactory. There were three subjects with an indinavir Cmin. below the target value of 0.10 mg/l, of whom one had virological failure (33%). Among the other 16 subjects with an indinavir Cmin above 0.10 mg/l, there was also one virological failure (6%) (P=0.30). CONCLUSIONS: Indinavir exposure in this reduced-dose regimen of 400 mg with 100 mg ritonavir twice daily was more than dose-proportionally lower than previously observed with the indinavir/ritonavir 800/100 mg twice daily regimen. Therapeutic Cmin levels of indinavir were achieved in >80% of the subjects and short-term virological response was satisfactory in this cohort of patients starting highly active antiretroviral therapy at an advanced disease stage with high baseline viral loads.     

Carbamazepine--indinavir interaction causes antiretroviral therapy failure

OBJECTIVE: To report a case of antiretroviral therapy failure caused by an interaction between carbamazepine and indinavir. CASE SUMMARY: A 48-year-old HIV-positive white man was treated with antiretroviral triple therapy, consisting of indinavir, zidovudine, and lamivudine. His HIV-RNA (viral load) became undetectable (<400 copies/mL) less than two months after this therapy was started; this was confirmed one month later. Shortly after the start of antiretroviral therapy, the patient developed herpes zoster, which was treated with famciclovir. Tramadol was initially prescribed for postherpetic neuralgia; however, this was substituted with carbamazepine due to insufficient analgesic effect. Indinavir plasma concentrations decreased substantially during carbamazepine therapy. Carbamazepine was stopped after 2.5 months and, two weeks later, the HIV-RNA was detectable (6 x 103 copies/mL). Resistance for lamivudine was observed in that blood sample; resistance for zidovudine might have been present, and resistance to indinavir was not detected. A few months later, a further increase of the HIV-RNA occurred (300 x 103 copies/mL), after which the therapy was switched to a new antiretroviral regimen containing nevirapine, didanosine, and stavudine. DISCUSSION: Physicians may prescribe carbamazepine for HIV-infected patients to treat seizures or postherpetic neuralgia, which are complications of opportunistic infections such as herpes zoster or toxoplasmosis. Carbamazepine is a potent enzyme inducer, predominantly of the CYP3A enzyme system, while HIV-protease inhibitors such as indinavir are substrates for and inhibitors of CYP3A. Therefore, an interaction between these drugs could be expected. A low dose of carbamazepine (200 mg/d) and the usual dose of indinavir (800 mg q8h) in our patient resulted in carbamazepine concentrations within the therapeutic range for epilepsy treatment; indinavir concentrations dropped substantially. The virologic, resistance, and plasma drug concentration data, as well as the chronology of events, are highly indicative of antiretroviral treatment failure due to the interaction between carbamazepine and indinavir. CONCLUSIONS: Concomitant use of carbamazepine and indinavir may cause failure of antiretroviral therapy due to insufficient indinavir plasma concentrations. Drugs other than carbamazepine should be considered to prevent this interaction. Amitriptyline or gabapentin are alternatives for postherpetic neuralgia; valproic acid or lamotrigine are alternatives for seizures. When alternate drug therapy is not possible, dosage adjustments, therapeutic drug monitoring, and careful clinical observation may help reduce adverse clinical consequences.     

Virtual inhibitory quotient predicts response to ritonavir boosting of indinavir-based therapy in human immunodeficiency virus-infected patients with ongoing viremia

Depending on the degree of underlying resistance present, optimization of the pharmacokinetics of protease inhibitors may result in improved virologic suppression. Thirty-seven human immunodeficiency virus (HIV)-infected subjects who had chronic detectable viremia and who were receiving 800 mg of indinavir three times a day (TID) were switched to 400 mg of indinavir BID with 400 mg of ritonavir two times a day (BID) for 48 weeks. Full pharmacokinetic evaluations were obtained for 12 subjects before the switch and 3 weeks after the switch. Combination therapy increased the indinavir predose concentrations in plasma by 6.47-fold, increased the minimum concentration in serum by 3.41-fold, and reduced the maximum concentration in serum by 57% without significantly changing the area under the plasma concentration-time curve at 24 h. At week 3, 58% (21 of 36) of the subjects for whom postbaseline measurements were available achieved a viral load in plasma of <50 copies/ml or a reduction from the baseline load of > or =0.5 log(10) copies/ml. Of these subjects, 82% (14 of 17) whose viruses had three or fewer protease inhibitor mutations and 88% (14 of 16) whose viruses had an indinavir virtual phenotypic susceptibility test of more than sixfold less than that for the baseline isolate were considered virologic responders. The indinavir virtual inhibitory quotient, which is a function of baseline indinavir phenotypic resistance (estimated by virtual phenotype) and the indinavir predose concentration in plasma achieved with indinavir-ritonavir combination therapy, was the best predictor of a viral load reduction. Sixteen subjects discontinued the study by week 48 due to adverse events, predominantly related to hyperlipidemia. Pharmacokinetic intensification of indinavir-based therapy with ritonavir reduced the viral loads in subjects but added toxicity. The virtual inhibitory quotient, which incorporates both baseline viral resistance and the level of drug exposure in plasma, was superior to either baseline resistance or drug exposure alone in predicting the virologic response.     

Benefit of therapeutic drug monitoring of protease inhibitors in HIV-infected patients depends on PI used in HAART regimen – ANRS 111 trial

As a result of high inter-patient variability, and efficacy–concentration and toxicity–concentration relationships, optimization of HIV-protease inhibitor (PI) doses based on plasma concentrations could be beneficial. During a 48-week open prospective non-randomized interventional study of 115 protease inhibitor-naïve patients initiating an indinavir/ritonavir- or lopinavir/ritonavir-, or nelfinavir-containing therapy, protease inhibitor dose was modified when plasma trough concentrations ( C _trough) at weeks 2, 8, 16 and 24 were outside predefined optimal concentration ranges. Failure of the strategy was defined as the proportions of patients with HIV-RNA above 200 copies/mL from weeks 24 to 48 and/or experiencing grades 2, 3 or 4 PI-related adverse events during the study; proportion of patients with last C _trough measurement outside the concentration range was determined at each visit. Virological failure and/or occurrence of adverse event were observed in 37/94 assessable patients (39%; 95% CI: 29.4–50.0). In the on-treatment analysis, failure of the strategy was noted in 16% of indinavir/r- or lopinavir/r-treated patients (8/51; 95% CI: 7.0–28.6; virological failure: 2; adverse event: 6) but in 44% of nelfinavir-treated patients (11/25; 95% CI: 24.4–65.1; virological failure: 10; adverse event: 1); C _trough concentrations outside the range were less frequent at the last measurement than at W2 (41% vs. 66%; P  < 0.05), with proportions of 35% for indinavir/r- or lopinavir/r-treated patients, but 57% for nelfinavir-treated patients. The proposed strategy of therapeutic drug monitoring may be beneficial to indinavir/r- and lopinavir/r-treated patients, but failed to move concentrations into the predefined range and to produce the expected virological success for nelfinavir-treated patients.     

Population pharmacokinetic analysis of indinavir in HIV-infected patient treated with a stable antiretroviral therapy

The objectives of this study were to build a population pharmacokinetic model that describe plasma concentrations of indinavir in human immunodeficiency virus (HIV)-infected patients with sustained virological response under a stable antiretroviral combination, and to characterize the effect of covariates and co-medications on indinavir pharmacokinetics. Data were obtained from 45 patients who received different dosages of indinavir: either indinavir alone t.i.d. (mostly 800 mg), either indinavir b.i.d. (mostly 800 mg) with a booster dose of 100 mg of ritonavir. Patients were required to have a baseline plasma HIV RNA <200 copies/mL and to have unchanged antiretroviral treatment for 6 months. Indinavir concentrations were measured at a first visit (one sample before drug administration and five after) and at a second visit 3 months later (before and 1 or 3 h after drug administration). A one-compartment model with first-order absorption and first-order elimination best described indinavir pharmacokinetics. For patients treated with indinavir alone, absorption rate constant was estimated to be 0.43/h, and oral clearance Cl/F was 33 L/h. For patients treated with indinavir plus ritonavir these estimates were 0.25/h and 19 L/h, respectively. Cl/F was found to increase by 1.45-fold in men and by 1.18-fold in patients also receiving zidovudine. Oral volume of distribution (V/F) was 24 L. The inter-individual and intra-individual variability were 117 and 205% for V/F, 42 and 58% for Cl/F, respectively. This population analysis in patients with sustained virological response, quantified the effect of ritonavir on the absorption rate constant and on the clearance of indinavir, showed an increase of Cl/F in men and can be used to draw reference curve for therapeutic drug monitoring.     

Predictors of short-term success of antiretroviral therapy in HIV infection

OBJECTIVES: The success of highly active antiretroviral therapy (HAART) in HIV infection may be influenced by numerous host factors. There is a lack of data presenting a combined assessment of a variety of these parameters for treatment efficacy in clinical routine practice. METHODS: Different indices of therapeutic drug monitoring (TDM) were evaluated prospectively in the context of self-reported adherence, health-related quality of life and social determinants, as measured by a questionnaire. RESULTS: A total of 210 individuals were studied between 2002 and 2004, 77% were males, mean age was 44 years, mean CD4 count was 336 cells/mm3 and 63% had a viral load < 50 copies/mL. In univariate analysis, baseline viral load, unscheduled drug levels, a 4 h pharmacokinetic profile (PK-P) at a scheduled visit and self-reported complete adherence within the previous 2 weeks were significantly associated with virological success of HAART at 12 weeks. At 24 weeks, only baseline viral load, the 4 h PK-P and adherence were significantly associated with HAART efficacy. In multivariate analysis, baseline viral load, adherence, unscheduled drug levels, trough levels at a visit with appointment as well as the 4 h PK-P were significantly associated with virological success at 12 weeks. At 24 weeks, only adherence was significantly linked to outcome. The other parameters were not found to have an impact on treatment efficacy. CONCLUSIONS: TDM and self-reported adherence were independently predictive of short-term HAART success in this prospective study. Unscheduled drug measurements provided similar diagnostic information as a 4 h PK-P. Thus, we propose the use of unscheduled drug level monitoring and self-reported adherence to help identify patients with elevated risk of virological failure.     

Changes in indinavir exposure over time: a case study in six HIV-1-infected children

OBJECTIVE: To study changes in indinavir exposure over time in HIV-1-infected children. MATERIALS AND METHODS: Protease inhibitor (PI)-naive HIV-1-infected children were treated with indinavir, zidovudine and lamivudine. Steady-state plasma pharmacokinetic (PK) sampling was carried out as standard of care. The AUC(0-8) was targeted between 15 and 30 mg h/L. PK sampling was repeated after dosage adjustment until the AUC(0-8) reached target values. Patients were included when the time interval between PK samplings was > or =2 years and differences in dosage/m2 <10% between PK samplings 1 and 2. Corrections of dose for changes in body size were carried out. RESULTS: Six children were enrolled with a median age of 5.2 years (range 1.7-13.6 years). All had a viral load below 500 copies/mL. The geometric mean (GM) of the AUC(0-8) decreased from 25.3 mg h/L at the first PK-day to 19.1 mg h/L at the second PK-day [geometric mean ratio (GMR): 0.76 (95% C.I.: 0.48-1.20)]. The GM of Cmax decreased from 11.8 to 10.4 mg/L [GMR: 0.88 (95% C.I.: 0.59-1.32)]. The GM of Cmin decreased from 0.08 to 0.07 mg/L [GMR: 0.86 (95% C.I.: 0.62-1.18)]. All children had an AUC(0-8) above 15 mg h/L on the first PK-day; three had an AUC(0-8) below 15 mg h/L on the second PK-day. In two of these three children, the plasma viral load was >500 copies/mL. CONCLUSION: Changes in indinavir exposure were observed over time. In two patients, decreased indinavir exposure was associated with virological failure. Therapeutic drug monitoring should be carried out over time since this may prevent subtherapeutic dosing in children.     

Predictive values of the human immunodeficiency virus phenotype and genotype and of amprenavir and lopinavir inhibitory quotients in heavily pretreated patients on a ritonavir-boosted dual-protease-inhibitor regimen

The inhibitory quotient (IQ) of human immunodeficiency virus (HIV) protease inhibitors (PIs), which is the ratio of drug concentration to viral susceptibility, is considered to be predictive of the virological response. We used several approaches to calculate the IQs of amprenavir and lopinavir in a subset of heavily pretreated patients participating in the French National Agency for AIDS Research (ANRS) 104 trial and then compared their potentials for predicting changes in the plasma HIV RNA level. Thirty-seven patients were randomly assigned to receive either amprenavir (600 mg twice a day [BID]) or lopinavir (400 mg BID) plus ritonavir (100 or 200 mg BID) for 2 weeks before combining the two PIs. The 90% inhibitory concentration (IC(90)) was measured using a recombinant assay without or with additional human serum (IC(90+serum)). Total and unbound PI concentrations in plasma were measured. Univariate linear regression was used to estimate the relation between the change in viral load and the IC(90) or IQ values. The amprenavir phenotypic IQ values were very similar when measured with the standard and protein binding-adjusted IC(90)s. No relationship was found between the viral load decline and the lopinavir IQ. During combination therapy, the amprenavir and lopinavir genotypic IQ values were predictive of the viral response at week 6 (P = 0.03). The number of protease mutations (< 5 or > or = 5) was related to the virological response throughout the study. These findings suggest that the combined genotypic IQ and the number of protease mutations are the best predictors of virological response. High amprenavir and lopinavir concentrations in these patients might explain why plasma concentrations and the phenotypic IQ have poor predictive value.     

Relative prognostic value of self-reported adherence and plasma NNRTI/PI concentrations to predict virological rebound in patients initially responding to HAART

We studied the predictive value of self-reported adherence and plasma drug concentrations on virological rebound to HAART. Among 238 participants in the AdICoNA study who had viral load < or = 500 copies/ml, 42 (17.6%) experienced virological rebound by 96 weeks. Both self-reported non-adherence and sub-optimal concentration were independently associated with a higher risk of virological rebound.     

Relationships between drug exposure, changes in metabolic parameters and body fat in HIV-infected patients switched to a nucleoside sparing regimen

BACKGROUND: The pathogenesis of metabolic disturbances in treated HIV infection is incompletely understood. METHODS: Relationships between fasted metabolic parameters, body composition, and drug plasma concentrations were investigated in 59 patients who switched from failed nucleoside analogue treatment to ritonavir-boosted indinavir and efavirenz therapy. Metabolic parameters, peripheral fat, visceral adipose tissue (VAT) and drug plasma concentrations were measured prospectively. RESULTS: Ritonavir exposure was found to be negatively correlated with high-density lipoprotein cholesterol (HDL-c) changes, with a 2.4% decrease in HDL-c for each unit increase in ritonavir concentration ratio. Significant associations between indinavir or efavirenz concentrations and metabolic disturbances were not observed. Total cholesterol (TC) correlated positively with high body mass index (BMI) and negatively with baseline limb fat mass: each unit increase in BMI and each kilogram reduction in baseline limb fat corresponded with a TC increase of 2.4% and 4.1%, respectively. Baseline triglyceride levels were lower in those patients with relatively greater limb fat mass: each kilogram reduction of total limb fat mass was associated with a 15.7% increase in triglyceride concentration. Changes in VAT were positively correlated with TC: for every unit TC increase a 0.3% VAT increase was observed (over 48 weeks). CONCLUSIONS: Reduced limb fat mass at the start of the study treatment, increases in VAT mass, and higher plasma concentrations of ritonavir on study treatment were each--to varying degrees--associated with various metabolic disturbances.     

Efavirenz trough levels are not associated with virological failure throughout therapy with 800 mg daily and a rifampicin-containing antituberculosis regimen

OBJECTIVES: To assess the safety and efficacy of efavirenz 800 mg daily in HIV-infected patients with tuberculosis receiving a rifampicin-containing regimen and to analyse whether a relationship exists between efavirenz Cmin and its virological efficacy. METHODS: Prospective, open-labelled study including HIV-infected patients on rifampicin and efavirenz 800 mg daily. Treatment adherence, adverse events (AEs), HIV-RNA levels, CD4 cell counts and efavirenz Cmin during and after finishing rifampicin treatment were evaluated. RESULTS: Eighty patients met the inclusion criteria. A permanent drug withdrawal due to AEs occurred in 10 patients, 5 attributable to efavirenz, and 10 patients were lost to follow-up before the third month. Efavirenz Cmin levels with 800 mg plus rifampicin were similar to those with 600 mg after withdrawing rifampicin. Sixty patients were included in the efficacy analysis, eight experiencing virological failure. No relation was observed between the rate of virological failure and efavirenz Cmin, previous antiretroviral treatment or not, baseline CD4 counts or RNA-HIV. The only variable related to virological failure was irregular adherence [odds ratio, 81 (95% CI: 5-1280); P=0.002]. CONCLUSIONS: Given the lack of a demonstrated relationship between efavirenz Cmin and its efficacy in our study, a firm recommendation cannot be made to always increase the dose to 800 mg/day when concomitantly given with rifampicin, but it seems a cautious approach to maintain the same efavirenz plasma levels as with 600 mg daily without rifampicin. Patients weighing<55 kg and also black, Asian and Hispanic subjects in whom genetic-based increased efavirenz plasma levels and rates of AEs have been observed may benefit from a dose of 600 mg.     

Genotypic inhibitory quotient as predictor of virological response to ritonavir-amprenavir in human immunodeficiency virus type 1 protease inhibitor-experienced patients

Forty-nine protease inhibitor (PI)-experienced but amprenavir (APV)-na?ve patients experiencing virological failure were treated with ritonavir (RTV) (100 mg twice a day [b.i.d.]) plus APV (600 mg b.i.d.). Patients responded to therapy with a median viral load decrease of -1.32 log(10) by week 12. The addition of low-dose RTV enhanced the minimal APV concentration in plasma (APV C(min)) up to 10-fold compared with that obtained with APV (1,200 mg b.i.d.) without RTV. Baseline PI resistance mutations (L10F/I/V, K20M/R, E35D, R41K, I54V, L63P, V82A/F/T/S, I84V) identified by univariate analysis and included in a genotypic score and APV C(min) at week 8 were predictive of the virological response at week 12. The response to APV plus RTV was significantly reduced in patients with six or more of the resistance mutations among the ones defined above. The genotypic inhibitory quotient, calculated as the ratio of the APV C(min) to the number of human immunodeficiency virus type 1 protease mutations, was a better predictor than the virological or pharmacological variables used alone. This genotypic inhibitory quotient could be used in therapeutic drug monitoring to define the concentrations in plasma needed to control replication of viruses with different levels of PI resistance, as measured by the number of PI resistance mutations.     

Intracellular accumulation of human immunodeficiency virus protease inhibitors

Intracellular accumulation of the protease inhibitors (PIs) saquinavir (SQV), ritonavir (RTV), and indinavir (IDV) was determined in 50 human immunodeficiency virus-positive patients. Following extraction, PIs were quantified by mass spectrometry. Paired plasma and intracellular samples were collected over a full dosing interval from patients (13 on SQV, 6 on RTV, 8 on IDV, 16 on SQV plus RTV, 7 on IDV plus RTV) with a plasma viral load of <400 copies/ml. Data were expressed as intracellular/plasma drug concentration ratios. A hierarchy of intracellular accumulation was demonstrated by the following medians: 9.45 for SQV > 1.00 for RTV > 0.51 for IDV. Coadministration of RTV did not boost ratios of SQV or IDV within the cell or in plasma, although absolute plasma and intracellular SQV concentrations were increased by RTV. Seven individuals receiving SQV in hard-gel capsule form (median, 32 months) had higher intracellular/plasma drug ratios than all other patients receiving SQV (median, 17.62 versus 4.83; P = 0.04), despite consistently low plasma SQV concentrations. How this occurs may provide insight into the mechanisms that limit adequate drug penetration into sanctuary sites.