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Clinical Review Report: Doravirine (Pifeltro): (Merck Canada Inc.): Indication: Doravirine (Pifeltro) is indicated, in combination with other antiretroviral medicinal products, for the treatment of adults infected with HIV-1 without past or present evidence of viral resistance to doravirine [Internet]. Ottawa (ON): Canadian Agency for Drugs and Technologies in Health; 2019 Jun.

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Clinical Review Report: Doravirine (Pifeltro): (Merck Canada Inc.): Indication: Doravirine (Pifeltro) is indicated, in combination with other antiretroviral medicinal products, for the treatment of adults infected with HIV-1 without past or present evidence of viral resistance to doravirine [Internet].

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Results

Findings from the Literature

Three studies were identified from the literature for inclusion in the systematic review (Figure 1). The included studies are summarized in Table 4. A list of excluded studies is presented in Appendix 3.

Figure 1. Flow Diagram for Inclusion and Exclusion of Studies.

Figure 1

Flow Diagram for Inclusion and Exclusion of Studies.

Table 4. Details of Included Studies.

Table 4

Details of Included Studies.

Included Studies

Description of Studies

Three trials met the inclusion criteria for this review (Table 3). Study-specific details are listed in Table 4, and schematics of the trial designs are included in Figure 2, 3, and 4 in Appendix 4.

Treatment-Naive

DRIVE-FORWARD (P-018, N = 769)5,6 and DRIVE-AHEAD (P-021, N = 728)7,8 were similarly designed phase III, randomized (1:1), multi-centre, double-blind (DB), double-dummy, parallel-group, active-controlled, noninferiority trials; and included ART-naive patients with plasma HIV-1 RNA ≥ 1,000 copies/mL at screening. In DRIVE-FORWARD, the efficacy and safety of DOR (100 mg) once daily was compared with DRV/r (800 mg/100 mg) once daily, each given in combination with investigator-selected FTC/TDF 200 mg/300 mg, supplied as Truvada once daily, or ABC/3TC 600 mg/300 mg, supplied as Epzicom or Kivexa once daily. DRIVE-AHEAD was designed to evaluate the comparative safety and efficacy of DOR/3TC/TDF 100 mg/300 mg/TDF 300 mg once daily compared with efavirenz/FTC/TDF 600 mg/200 mg/300 mg (EFV/FTC/TDF, supplied as Atripla) once daily. The primary efficacy end point in both trials was the proportions of patients with HIV-1 RNA < 50 copies/mL assessed at week 48. The following secondary efficacy outcomes were also measured through week 96: the proportions of patients with HIV-1 RNA < and ≥ 50 copies/mL, and change from baseline in CD4 cell count. Notable safety end points included lipid profile and neuropsychiatric adverse events (AEs) including but not limited to dizziness, sleep disorders, and altered sensorium (e.g., depressed level of consciousness, lethargy, somnolence, or syncope).

In both trials, patients who met the entry criteria underwent randomization, which was conducted centrally using an interactive voice/Web response system (IVRS/IVWS) in a 1:1 ratio. Patients in DRIVE-FORWARD were stratified by HIV-1 RNA level at screening (≤ or > 100,000 copies/mL) and NRTI background therapy (FTC/TDF or ABC/3TC, as selected by the investigator); and patients in DRIVE-AHEAD were stratified by screening HIV-1 RNA (≤ or > 100,000 copies/mL) and hepatitis B and/or C co-infection status.

Both DRIVE-FORWARD and DRIVE-AHEAD had a total DB duration of 96 weeks (the base study), in which the first 48 weeks were used for the primary analyses. All eligible patients who provided consent to continue their treatment entered the open-label (OL) study extension, receiving DOR/3TC/TDF once daily or DOR once daily in combination with NRTI background therapy for an additional 96 weeks. Due to the minimal data available for the extension period, this review will be limited to the duration of the base study. Patients who met the criteria for protocol-defined virologic failure (PDVF) at any point during the study discontinued from the trial, regardless of the reason. The criteria for PDVF included having a confirmed (i.e., two consecutive measures at least one week apart) HIV-1 RNA ≥ 200 copies/mL at week 24 or week 36, confirmed HIV-1 RNA ≥ 50 copies/mL at week 48 (termed non-responders), or confirmed HIV-1 RNA ≥ 50 copies/mL after an initial response of HIV-1 RNA < 50 copies/mL at any time during the study (termed rebounders).

Treatment-Switch

DRIVE-SHIFT (P-024, N = 673)9 was a phase III, randomized (1:1), multi-centre, OL, parallel-group, active-controlled, noninferiority trial that included virologically suppressed patients (defined as HIV-1 RNA < 40 copies/mL) on a stable ARV regimen. This study evaluated a switch from a stable ARV regimen of a ritonavir- or cobicistat-boosted PI, or cobicistat-boosted integrase strand transfer inhibitor (InSTI), or NNRTI, each administered with two NRTIs, to DOR/3TC/TDF. Following a screening visit to determine the entry criteria, eligible patients were randomized in a 2:1 ratio to the immediate switch group (ISG) to receive DOR/3TC/TDF on study day 1 or to the delayed switch group (DSG) to start DOR/3TC/TDF at week 24. Patients in the DSG arm received their baseline regimens (described above) until week 24. Randomization was conducted centrally using an IVRS/IVWS; an allocation schedule was computer-generated.

The efficacy and safety outcomes were similar to the trials described above, and included the proportions of patients with HIV RNA < 50 copies/mL at week 48 (primary outcome), HIV RNA ≥ 50 copies/mL, CD4 cell count, lipid profile, and neuropsychiatric AEs at week 24 and 48. Due to the differences in DOR/3TC/TDF exposure between the treatment arms, the outcomes were compared between the ISG arm at week 48 and the baseline regimen at week 24 for the DSG arm (primary time point) as well as between the ISG arm at week 24 and baseline regimen at week 24 for the DSG arm (secondary time point).

The trial consisted of a 48-week base study, used for the primary analyses (described in Table 4). Patients who completed the base study and were eligible could enter into the OL study extension, receiving DOR/3TC/TDF once daily for up to 192 weeks total. Due to the minimal data available for the extension period, this review is limited to the duration of the base study. Patients who met the criteria for PDVF at any point during the study discontinued from the trial, regardless of the reason.

This CDR review will be limited to the base study period for each trial.

Populations

Inclusion and Exclusion Criteria

Treatment-Naive

The inclusion and exclusion criteria of DRIVE-FORWARD and DRIVE-AHEAD were similar and are described in Table 4. Both trials enrolled ART-naive, HIV-positive patients aged ≥ 18 years with screening for HIV-1 RNA levels ≥ 1,000 copies/mL, and without any exclusionary laboratory values (alkaline phosphatase > 3.0 × upper limit of normal [ULN], alanine transaminase and aspartate transaminase > 5.0 × ULN each, creatinine clearance < 50 mL/min) and any signs or symptoms of active infection. Patients with current use of recreational or illicit drugs or a recent history of drug or alcohol abuse or dependence as well as those with decompensated liver disease, liver cirrhosis, and a Child–Pugh class C score or Pugh–Turcotte score above 9 were excluded from the trials. In addition, patients were excluded if they had a documented or known history of resistance to any of the study drugs; were previously treated for a viral infection, e.g., hepatitis B with an agent that is active against HIV-1; recently used systemic immunosuppressive therapy or immune modulators; had a history or current evidence of any condition, therapy, laboratory abnormality or other circumstances that might confound the results of the study or potentially interfere with study compliance; and had a current (active) diagnosis of acute hepatitis. Notably, patients with chronic hepatitis B and C were allowed to enter the study as long as they fulfilled all entry criteria, had stable liver function tests, and had no significant impairment of hepatic synthetic function (defined as a serum albumin < 2.8 mg/dL or an international normalized ratio > 1.7).

Treatment-Switch

Patients in the DRIVE-SHIFT trial were HIV-1–positive adults (≥ 18 years) with an undetectable level of HIV-1 RNA (< 40 copies/mL) on a stable (six months or longer) ARV regimen consisting of a ritonavir- or cobicistat-boosted PI (specifically, atazanavir, darunavir, or lopinavir) or cobicistat-boosted EVG or an NNRTI (specifically, EFV, nevirapine, or rilpivirine) with a backbone of two NRTIs, and had no history of prior virologic failure.

Additional major inclusion criteria included no previous history of receiving any experimental NNRTIs, no or stable lipid-lowering therapy, no exclusionary laboratory values at screening (based on criteria as above), and a clinically stable condition without any signs or symptoms of active infection.

Exclusion criteria for DRIVE-SHIFT were similar to those of the DRIVE-FORWARD and DRIVE-AHEAD trials, and included current use of recreational or illicit drugs or a recent history of drug or alcohol abuse or dependence; patients with decompensated liver disease, liver cirrhosis and a Child–Pugh class C score or Pugh–Turcotte score above 9; resistance to any of the study drugs; previous treatment for a viral infection with an agent that is active against HIV-1; recent use of systemic immunosuppressive therapy or immune modulators; history or current evidence of any condition, therapy, laboratory abnormality or other circumstances that might confound the results of the study or potentially interfere with study compliance; and current (active) diagnosis of acute hepatitis.

Baseline Characteristics

Baseline characteristics were generally similar between groups within trials (Table 5). The majority of the patients were male (> 80%). Patients who were treatment-naive were younger, with a mean age between 32 and 36 years, whereas patients who were treatment-experienced had a mean age of 43 years. Baseline CD4 cell counts were higher among treatment-experienced patients as they were on viral suppressive therapies at baseline. Approximately 20% of treatment-naive patients had a baseline plasma HIV-1 RNA level of > 100,000 copies/mL. The frequency of patients with AIDS ranged from 10% to 15% among treatment-naive patients, and approximately 15% to 18% among treatment-experienced patients.

Table 5. Summary of Baseline Characteristics.

Table 5

Summary of Baseline Characteristics.

Medical histories between-treatment groups within trials were largely similar; with the exception of gastrointestinal disorders occurring at a greater frequency in the DRV/r arm of DRIVE-FORWARD and psychiatric and immune system disorders occurring at a greater frequency in the ISG arm of DRIVE-SHIFT. The baseline regimens between-treatment groups in DRIVE-SHIFT were similar, and the majority of the patients received a ritonavir-boosted PI (~ 70%) and NNRTIs (~ 24%). A small but similar proportion of patients in each arm within the trials received lipid-lowering therapy.

Interventions

Treatment-Naive

Both trials used a double-dummy design to maintain blinding, with matching placebo for active treatments. Patients in DRIVE-FORWARD were randomized (1:1) to receive DOR 100 mg or DRV/r (800 mg/100 mg), each given in combination with fixed-dose combination (FDC) FTC/TDF (200 mg/300 mg) or ABC/3TC (600 mg/300 mg), administered orally and once daily. DOR and ABC/3TC were taken without regard to food; whereas DRV/r and FTC/TDF were taken with food. Patients with hepatitis B were selectively given FTC/TDF.

Patients in DRIVE-AHEAD received oral once-daily dosages of either DOR/3TC/TDF (100 mg/300 mg/300 mg, plus placebo for EFV/FTC/TDF) or EFV/FTC/TDF (600 mg/200 mg/300 mg, plus placebo for DOR/3TC/TDF) FDC, as determined by patients’ 1:1 random assignment. DOR/3TC/TDF was taken at approximately the same time of the day without regard to food, whereas EFV/FTC/TDF was taken at bedtime on an empty stomach.

Treatment-Switch

Patients in DRIVE-SHIFT were randomized (2:1) to receive oral once-daily dosages of DOR/3TC/TDF immediately on day 1 in the ISG arm or continued their baseline regimen (ritonavir- or cobicistat-boosted PI, e.g., atazanavir, darunavir [DRV], or lopinavir, or cobicistat-boosted InSTI (e.g., EVG, or an NNRTI, e.g., EFV, NVP, or rilpivirine; each administered with two NRTIs) until they switched to DOR/3TC/TDF at week 24 in the DSG arm, administered at approximately the same time of the day without regard to food.

No rescue or supportive medications or dose modification of the study medication was allowed during the treatment period of any trial; with the exception of a recommended dosing interval adjustment of FTC/TDF in DRIVE-FORWARD to one tablet every 48 hours in patients with creatinine clearance of 30 mL/min to 49 mL/min. Unless specifically prohibited, all trials allowed patients to receive concomitant medications for their clinical conditions barring potential drug-drug interaction, e.g., oral or other hormonal contraception and new HCV treatments. Patients in DRIVE-SHIFT were allowed to initiate or modify lipid-lowering therapy. Notable prohibited medications included immune-therapy agents or other immunosuppressive therapy (except for short courses of corticosteroids, specialized treatment for Kaposi’s sarcoma, malignancy, and hepatitis), moderate or potent inducers of CYP3A, and medications that may interact with any of the study drugs.

Outcomes

Treatment-Naive

The primary efficacy outcome in DRIVE-FORWARD and DRIVE-AHEAD was the proportions of patients with HIV-1 RNA < 50 copies/mL at week 48, as determined by the FDA-defined snapshot algorithm. Under this approach, all missing data were treated as failures regardless of the reason.

Secondary outcomes of interest were identified in the review protocol (Table 3): virologic failure, CD4 cell count, drug resistance, adherence, and health-related quality of life (HRQoL). Virologic failure was defined as the proportions of patients with HIV-1 RNA ≥ 50 copies/mL at week 48, as determined by the FDA snapshot algorithm. Changes in CD4 cell count from baseline were estimated at week 48 (or most-recent screening visit if baseline values were missing). The magnitude and direction of the CD4 cell count was compared with the baseline value rather than a pre-established cutoff.

Genotypic and phenotypic resistance testing to the study drugs and backbone therapies were performed by a central laboratory. Data were summarized for patients who met the criteria for PDVF and those who discontinued the trial for any reason. Patients were classified as PDVF if they experienced a rebound in HIV-1 RNA ≥ 50 copies/mL at any visit after achieving HIV-1 RNA < 50 copies/mL, confirmed HIV-1 RNA ≥ 200 copies/mL at week 24 or 36, or (3) confirmed HIV-1 RNA ≥ 50 copies/mL at week 48.

Drug adherence was calculated based on a subjective rating method — the Study Medication Diary Cards — which was further validated by the study coordinator for completeness and accuracy. Per cent adherence was calculated by dividing the number of days a patient was “on-therapy” by the number of days the patient should be on therapy. Two definitions of an on-therapy day were used. Partial adherence was assigned to a study day if the patient took at least one tablet from any supplied bottle/container, whereas full adherence was assigned to a study day if the patent took the required number of tablets from each bottle/container. It should be noted that adherence was not regarded as an efficacy outcome, and data were therefore presented descriptively.

One relevant subgroup analysis was pre-planned in both study protocols: primary efficacy outcome by baseline viral load (< 100,000 copies/mL and ≥ 100,000 copies/mL). Neither trial assessed HRQoL.

Harms outcomes included the changes from baseline in fasting lipids (LDL, non-HDL, total cholesterol, HDL, and triglycerides) monitoring of all adverse events, and clinical and laboratory tests. An AE was defined as any unfavourable and unintended sign (including an abnormal laboratory finding), symptom, or disease as well as worsening of a pre-existing condition that is temporally associated with the study medication or procedure. A serious adverse event (SAE) was any AE that: resulted in death, was life-threatening, resulted in a persistent or significant disability/incapacity, resulted in or prolonged an existing in-patient hospitalization, was a congenital anomaly/birth defect, or was another important medical event. Any incidence of cancer or overdose-associated AE was also considered an SAE. The severity of laboratory AEs was based on the Division of Acquired Immunodeficiency Syndrome (DAIDS) criteria. In DRIVE-AHEAD, three categories of neuropsychiatric AEs (dizziness, sleep disorders, and altered sensorium, e.g., depressed level of consciousness, lethargy, somnolence, syncope) by week 48 constituted the primary safety end point, and an additional two categories (depression and suicide/self-injury and psychosis/psychotic disorders) were secondary safety end points.

The efficacy and safety assessments described above were carried out at various time points through week 96, and between-treatment comparisons were made at week 96 for the following outcomes: changes from baseline in CD4 cell count, and virologic suppression (HIV-1 RNA < 50 copies/mL) (tested for noninferiority and superiority).

Treatment-Switch

All efficacy and safety end points in DRIVE-SHIFT were measured at various time points through week 48. Between-treatment comparisons were done at two time points: comparison between the ISG arm receiving DOR/3TC/TDF for weeks 0 to 48 and the DSG arm receiving baseline regimen for weeks 0 to 24 (primary time point), and comparison between the ISG and baseline regimen for the DSG arm at weeks 0 to 24 (secondary time point). The primary outcome in DRIVE-SHIFT was the proportion of patients with HIV-1 RNA < 50 copies/mL at week 48 (ISG) or week 24 (DSG), as determined by the FDA-defined snapshot algorithm. The secondary outcomes of interest for this review included virologic failure, resistance, study drug adherence, and HRQoL. Virologic failure, drug resistance, and adherence were measured in ways identical to those described earlier for the treatment-naive population. Between-treatment comparisons were done for the following outcomes and time points: proportions of patients maintaining virologic suppression in both treatment arms at week 24 (tested for noninferiority and superiority), proportions of patients maintaining virologic suppression between the ISG arm at week 48 and baseline regimen for the DSG arm at week 24 (tested for superiority), proportions of patients with HIV-1 RNA ≥ 50 copies/mL (i.e., virologic failure) between the ISG arm at week 48 and baseline regimen for the DSG arm at week 24, and changes from baseline in CD4 cell count between the DSG arm at week 24 and the ISG arm at weeks 48 and 24.

HRQoL was assessed using the EuroQol 5-Dimensions 5-Levels questionnaire (EQ-5D-5L), a generic quality-of-life instrument that can be applied to a wide range of health conditions and treatments to capture the net effect of treatment benefits and harms.33 The EQ-5D-5L consists of five dimensions of health (mobility, self-care, usual activities, pain/discomfort, anxiety/depression) rated on a scale of five levels, ranging from 1 (“no problems”) to 5 (“extreme problems” or “unable to perform”). The EQ-5D-5L index score is generated by applying a multi-attribute utility function to the descriptive system.33 The EQ-5D-5L also has a visual analogue scale (VAS), by which overall health is self-rated on a scale ranging from 0 (“the worst health you can imagine”) to 100 (“the best health you can imagine”).33 The trial reported only VAS data, validation information, and a minimum clinically important difference (MCID), which was not found in the literature for patients with HIV.

Harms outcomes included the monitoring of all AEs, clinical laboratory tests, changes from baseline in fasting lipids, and neuropsychiatric AEs. Between-treatment comparisons were done for changes from baseline in fasting LDL and non-HDL in each treatment arm at week 24.

Statistical Analysis

Statistical Analysis for Efficacy End Points

All statistical tests were conducted at an alpha level of 0.05 (two-sided) unless otherwise indicated. In all three trials, the primary outcome (difference in proportions between-treatment groups and the associated 95% confidence interval [CI]) was calculated using the stratum-adjusted Mantel–Haenszel method, with the difference weighted by the harmonic mean of the sample size per arm for each stratum (screening HIV RNA ≤ 100,000 or > 100,000 copies/mL for DRIVE-FORWARD and DRIVE-AHEAD and PI use in baseline regimen for DRIVE-SHIFT). The remaining stratification factors, chronic hepatitis co-infection for DRIVE-AHEAD and the use of lipid-lowering therapy for DRIVE-SHIFT, were not expected to be associated with virologic response. Stratification by these factors was therefore not included in the analyses of virologic response.

The choice of noninferiority margin (NIM) in DRIVE-FORWARD and DRIVE-AHEAD was 10 percentage points, whereas the NIM was eight percentage points in DRIVE-SHIFT. The DOR arm in each trial was considered to be noninferior to the comparator arm if the lower bound of the two-sided 95% CI for the primary outcome (difference in the proportion of patients with HIV-1 RNA < 50 copies/mL) was greater than the chosen NIM in each trial. Provided noninferiority was established (DRIVE-FORWARD) or multiplicity criteria were satisfied (DRIVE-AHEAD and DRIVE-SHIFT), the treatment arm was tested for superiority to the respective comparators if the lower bound of the two-sided 95% CI for the difference in response rates was greater than zero.

The treatment difference in changes from baseline in CD4 cell count at time points of interest between the two treatment groups in all trials was estimated using the two-sample t-test. Genotypic and phenotypic resistance data from patients with PDVF and those who discontinued for any reason were summarized descriptively, provided they had blood samples available with HIV-1 RNA > 400 copies/mL.

Statistical Analysis for Safety End Points

The analyses of safety end points followed a tiered approach that varied by trial and with respect to the analyses that were performed. The list of safety parameters and analyses strategy for all trials is summarized in Table 6. This review focuses on the notable safety end points described in Table 3.

Table 6. Analysis Strategy for Safety Parameters.

Table 6

Analysis Strategy for Safety Parameters.

Tier 1 safety events included the change from baseline in fasting LDL and non-HDL (all trials) and the proportion of patients with neuropsychiatric AEs in three pre-specified categories — dizziness, sleep disorders and disturbances, and altered sensorium (DRIVE-AHEAD only) — by week 48. The change from baseline in fasting lipids at week 48 (week 24 for DRIVE-SHIFT) was analyzed using analysis of covariance models adjusted by baseline lipids level (all trials) and the use of lipid-lowering therapy at study day 1 (DRIVE-SHIFT). In DRIVE-FORWARD, the superiority of DOR over DRV/r in LDL was demonstrated if the mean change from baseline was statistically significantly lower for the former, with a between-group P value < 0.04998 (P value adjusted for multiple statistical tests). The superiority for non-HDL was tested sequentially at the same alpha level. In DRIVE-SHIFT, after establishing the primary hypothesis of noninferior efficacy, the superiority of switching immediately to DOR over continuing baseline regimens was demonstrated if the mean change from baseline in LDL was statistically significantly lower for the former, with a one-sided between-group P value < 0.025. The superiority for non-HDL was tested sequentially at the same alpha level. In all trials, statistical testing was stopped with the first of these tests failing to reach statistical significance and no subsequent tests were considered for statistical significance.

The remaining fasting lipids (all trials) and neuropsychiatric AEs in the depression, suicide/self-injury, psychosis, and psychotic disorders categories (DRIVE-AHEAD) by week 48 were considered tier 2 events. All tier 1 and 2 neuropsychiatric AEs in DRIVE-AHEAD were analyzed using Miettinen and Nurminen’s method to generate the treatment difference and the associated 95% CI, and P values were provided for the tier 1 events only.

Missing Data

Missing values were of three types:

  • Intermittent missing values due to a missed or skipped visit or due to an inadequate sample
  • Non-intermittent missing values due to premature discontinuations because of treatment-related reasons such as clinical adverse experience, laboratory abnormalities, and withdrawal due to lack of efficacy (based on HIV-1 RNA results)
  • Non-intermittent missing values due to premature discontinuations because of other reasons not related to treatment such as loss to follow-up, protocol violation, consent withdrawal, etc.

The two approaches used to handle missing efficacy values are summarized in Table 7. The primary approach was consistent with the FDA “snapshot” approach, in which all missing data were considered treatment failures regardless of reasons. All non-completers as well as those with an HIV-1 RNA measurement of ≥ 50 copies/mL were therefore considered virologic failures. Only patients with an HIV-1 RNA level of < 50 copies/mL within the pre-specified time window of the DB phase were classified as virologic successes. In DRIVE-FORWARD, patients were allowed to switch the study backbone NRTI regimens to manage toxicity; those who switched after week 2 and had HIV-1 RNA > 40 copies/mL at the time of switching were also regarded as a failure at all time points post-switching. The second approach was observed failure (OF), in which non-intermittent missing data for patients who prematurely discontinued treatment due to lack of efficacy were considered failures at time points thereafter. Patients with other reasons for missing data were excluded from the analyses.

Table 7. Approaches to Handling Missing Data.

Table 7

Approaches to Handling Missing Data.

For patients who had missing lipid data, the last observation following randomization (or before starting lipid-lowering therapy for those who started lipid-lowering therapy) was carried forward for later time points.

Sensitivity Analyses

A sensitivity analysis for the primary efficacy outcome was performed using the OF approach under which non-intermittent missing data for patients who prematurely discontinued their assigned treatment due to lack of efficacy were regarded as failures thereafter.

Sample Size Calculation

All three trials used an asymptotic method proposed by Farrington and Manning for power calculations. The sample size in DRIVE-FORWARD and DRIVE-AHEAD was chosen to provide 90% power to demonstrate noninferiority of DOR compared with the respective comparator at an overall one-sided 2.5% alpha level for the primary end point — the proportion of patients achieving HIV-1 RNA < 50 copies/mL at Week 48 — assuming a true response rate of 80% for both treatment arms using the FDA snapshot approach. This resulted in 340 patients in each group.

Power estimates for safety end points related to lipid profiles in DRIVE-FORWARD and DRIVE-AHEAD were based on data from a previous study (MK-1439 007, which studied four doses of DOR versus efavirenz, each in combination therapy with Truvada). It was estimated that with a sample size of 340 patients per treatment arm, the studies had > 99% power to detect a between-treatment difference of 0.43 mmol/L (7.7 mg/dL) and 1.11 mmol/L (20 mg/dL) for LDL and non-HDL, respectively.

In DRIVE-AHEAD, data from a previous study (MK-1439 007) was used to estimate the power to detect between-treatment differences in three pre-specified neuropsychiatric AEs: dizziness, sleep disorders and disturbances, and altered sensorium. The expected frequency for these AEs in the DOR and EFV arms, respectively, were 5% versus 24% for dizziness, 16% versus 29% for sleep disorders and disturbances, and 3% versus 10% for altered sensorium. With 340 patients in each treatment arm, the study had > 99%, 97%, and 95% power, respectively, to detect between-treatment differences in these tier 1 AEs if the proportions of patients with neuropsychiatric AEs were similar to those observed in study MK-1439 007.

The sample size in DRIVE-SHIFT was chosen to provide 80% power to demonstrate noninferiority of switching immediately to DOR compared with continuing baseline regimen at an overall one-sided 2.5% alpha level for the primary end point, the proportion of patients achieving HIV-1 RNA < 50 copies/mL, assuming a true response rate of 85% for both arms. This resulted in randomizing 660 patients in a 2:1 ratio between the immediate and delayed switch arm. The assumed response rate for the delayed switch arm was based on the result from a similar switch study (the SPIRIT study).

Power estimates for safety end points in DRIVE-SHIFT were based on data from the SPIRIT study, in which the estimated between-treatment differences in mean changes in fasting LDL and non-HDL were 0.89 mmol/L (16 mg/dL) and 1.16 mmol/L (21 mg/dL), respectively. With 440 patients in the ISG arm and 220 patients in the DSG arm, the study had an estimated > 99% power to detect a between-treatment difference of 0.89 mmol/L (16 mg/dL) and 1.16 mmol/L (21 mg/dL) for LDL and non-HDL, respectively.

Multiplicity

Multiple statistical testing was carried out in a hierarchical manner, as shown in Table 8. The efficacy and safety end points were tested in a sequential manner. Testing was stopped with the first of these tests failing to reach statistical significance and no subsequent tests were considered statistically significant. The overall one-sided type I error rate in testing these hypotheses was controlled at 2.5%.

Table 8. Statistical Testing Hierarchy for Multiplicity.

Table 8

Statistical Testing Hierarchy for Multiplicity.

In DRIVE-FORWARD, no adjustment for multiplicity was made for the superiority test as noninferiority was confirmed if the data supported superiority due to the principles of closed testing. Two interim analyses were conducted, but these were unlikely to affect the type I error rate for the testing of the primary efficacy hypothesis or secondary safety hypotheses. The first interim analysis of neuropsychiatric AEs was done for making a program decision and was not related to any of the efficacy or safety end points. The second interim analysis was an efficacy analysis, but for the sole purpose of stopping the study in the event of a lack of efficacy. Notably, a small alpha level of 0.0001 was allocated to each interim analysis. Both the primary efficacy hypothesis and secondary safety hypotheses were tested at the two-sided alpha level of 0.049998.

In DRIVE-AHEAD, three interim safety analyses were carried out, and an alpha level of 0.0001 was allocated to each analysis. All safety hypotheses were tested at a one-sided alpha level of 0.02497. However, the primary efficacy hypothesis for noninferiority was tested at an unadjusted one-sided alpha level of 0.025 because no interim efficacy analysis was scheduled.

Subgroup Analyses

In DRIVE-FORWARD and DRIVE-AHEAD, results of the efficacy end points were reported by the subgroup relevant for this review — baseline HIV-1 RNA categories (HIV-1 RNA ≤ 100,000 copies/mL, HIV-1 RNA > 100,000 copies/mL). The estimates of between-group treatment difference were reported as a nominal 95% CI unadjusted for stratification factors. No interaction P values were reported. The OF approach was used to handle missing values in these subgroup analyses. Subgroup analyses by baseline viral load were not relevant in DRIVE-SHIFT as all enrolled patients were virologically suppressed.

Analysis Populations

In all included trials, the full-analysis set (FAS) was used as the primary population for the analyses of efficacy end points. The FAS population consisted of all randomized patients who received at least one dose of the study medication and had at least one measurement of the outcome (baseline or post-baseline). Patients in the FAS population were analyzed based on the treatment group to which they were randomized.

Safety analyses in all three trials were done in the “as-treated” population, consisting of all randomized patients who received at least one dose of study medication. Patients were included in the treatment group that corresponded to the medication they actually received.

The per-protocol (PP) population was used in DRIVE-FORWARD and DRIVE-AHEAD to analyze noninferiority of the key efficacy end points/virologic success by week 48. The PP population consisted of a subset of the FAS population that excluded patients with important deviations from the protocol by week 48, including non-compliance with study medication, discontinuation for reasons not related to treatment, and major protocol violations with the potential to affect efficacy.

Patient Disposition

Patient disposition for the duration of the base study period of the three trials is summarized in Table 8. Approximately 20% to 25% of the patients screened across the trials were not randomized. In DRIVE-FORWARD and DRIVE-AHEAD, the most common reasons for screening failure were resistance to any of the study drugs, screening plasma HIV-1 RNA < 1,000 copies/mL, treatment for HIV not recommended by a physician, and not willing to provide written consent. In DRIVE-SHIFT, the most common reasons for screening failure were resistance to any study drug, and not meeting the inclusion criterion of receiving one of the specified baseline regimens continuously with HIV-1 RNA at undetectable levels for at least six months without prior virologic failure.

Among the treatment-naive patients, approximately one-quarter of the patients did not complete the base study period of 96 weeks. The most common causes for study discontinuation were AEs, lack of efficacy, and lost to follow-up. More patients receiving DRV and EFV discontinued the study compared with the DOR arm in DRIVE-FORWARD and DRIVE-AHEAD, respectively. A greater proportion of these patients also experienced AEs. The proportion of patients discontinuing the study by week 48 was lower in the treatment-switch study than in the trials of treatment-naive patients; differences in discontinuation rate and reasons for discontinuation were largely similar between-treatment groups within the trials.

Table 9. Patient Disposition.

Table 9

Patient Disposition.

Exposure to Study Treatments

▬ ▬ ▬ ▬ ▬

▬ ▬ ▬ ▬ ▬

Table 10. Exposure to Study Treatments.

Table 10

Exposure to Study Treatments.

Critical Appraisal

Internal Validity

All trials were randomized studies that appear to have used acceptable methods (IVRS/IWRS, computer-generated allocation schedule) to randomize patients to treatment groups. The two DB trials (DRIVE-FORWARD and DRIVE-AHEAD) performed necessary measures to maintain blinding and conceal treatment allocation; all study medications including respective placebos were packaged and supplied in identical containers/bottles. The clinical expert consulted for this review indicated that DRV and EFV are associated with an increased incidence of gastrointestinal and neuropsychiatric AEs, respectively. This is consistent with the relatively high frequency of diarrhea reported among patients receiving DRV/r in DRIVE-FORWARD and dizziness and sleep disorders and disturbances reported among patients receiving EFV/FTC/TDF in DRIVE-AHEAD. It was possible for patients to surmise the greater potential for gastrointestinal and neuropsychiatric side effects with DRV and EFV/FTC/TDF administration, respectively, which might have compromised treatment blinding. Many efficacy and safety outcomes were measured in blood/plasma samples in an objective manner, therefore, reporting bias, if any unblinding occurred, was less likely. However, the possibility remains that ascertainment of treatment allocation influenced patient reporting of subjective outcomes (neuropsychiatric AEs and HRQoL) as well as patients’ decisions on whether to remain in the trial, potentially biasing the primary efficacy outcome (given that patients who discontinued the study were considered to have failed to achieve the primary outcome).

In all three studies, the primary efficacy end point was the proportional differences in HIV-1 RNA < 50 copies/mL between the treatment arms. While this is the FDA-recommended efficacy outcome for treatment-naive patients, the end point of interest in switch trials is the proportional difference in HIV-1 RNA ≥ 50 copies/mL (not success of < 50 copies/mL as per the manufacturer’s analysis).34 This is because switch trials include patients who are already virologically suppressed. The end point should therefore be focused on patients who lose virologic control post-switching. Even though the proportional difference in HIV-1 RNA ≥ 50 copies/mL was measured, this was not part of the statistical testing hierarchy and it was not compared against a pre-specified NIM. The FDA-recommended NIM is four percentage points for HIV-1 RNA ≥ 50 copies/mL in switch trials.34 Therefore, the primary efficacy outcome in DRIVE-SHIFT is inconsistent with FDA recommendations for switch trials. Notably, the manufacturer of DRIVE-SHIFT indicated that the latest issue of FDA guidance for industries34 with these updated recommendations was published after the trial began.

For all three trials, it is unclear if all of the patients were classified appropriately according to the FDA snapshot algorithm for the outcome of HIV-1 RNA ≥ 50 copies/mL, as patients lacking virologic data were not included as failures (assumption of HIV-1 RNA ≥ 50 copies/mL). The impact this would have had on the results is uncertain. Other secondary efficacy outcomes as well as safety end points were consistent with FDA guidance and commonly measured in HIV trials. One trial (DRIVE-SHIFT) assessed an HRQoL outcome relevant for this review, but the assessment of the EQ-5D-5L VAS was done without generating an index score, and it provided no supporting evidence for the validity and MCID among HIV patients from the literature.

The statistical analyses plan, including missing data handling (i.e., missing data = failure and missing data = excluded), deriving sample size/power, and adjusting for multiple comparisons was carried out appropriately and generally followed FDA guidance for HIV trials. One notable exception was the handling of missing data in DRIVE-SHIFT. After the initial database lock (dated March 27, 2018) the manufacturer identified a number of patients in the ISG arm with missing HIV-1 RNA data at key efficacy time points. According to the FDA snapshot approach these patients would be counted as treatment failures. The manufacturer discovered additional blood samples were available from the pharmacokinetic and viral resistance samples that could be used to test for HIV-1 RNA (week 24, n = 3; week 48, n = 2). With the addition of sample data for these five patients, the NIM was met for the primary outcome. However, noninferiority was not met based on the data from the initial database lock.

Although subgroup analyses for the DB trials were pre-planned and stratified at randomization, no testing of interaction between subgroups with respect to treatment effect was reported. Additionally, it is unclear if the margin for the overall trial should be used in the evaluation of the subgroups or if subgroup specific margins should have been employed. Indeed, several of the subgroups exceeded the margins, which may be expected given the lack of power within the subgroup analyses. Moreover, multiplicity of testing is still a concern within the subgroups. As a result, over-interpretation of subgroup data should be avoided.

The studies did not use a true intention-to-treat population as several patients were excluded after randomization. However, the numbers are low and are unlikely to affect the study results. Moreover, the DB trials, but not the switch trial, appropriately performed the primary efficacy analysis in a PP population with findings supportive of analysis using the FAS population.

The treatment groups appeared to be generally balanced with respect to baseline characteristics within studies. An exception to this is a lower proportion of patients in the DOR arm with gastrointestinal disorders in DRIVE-FORWARD, and a higher proportion of patients in the ISG arm with immune system disorders, drug hypersensitivity, neoplasms, and psychiatric disorders in DRIVE-SHIFT. Although these differences may have arisen from chance, it is possible that randomization may also have failed. The frequency of dropouts among treatment-naive patients ranged from 13% to 19% across trials by week 48 and between 18% and 29% by week 96. Patients receiving DOR in both trials had fewer dropouts, in part due to fewer AEs. The higher incidences of dropouts in the comparator arms may bias the results in favour of DOR as dropouts were treated as treatment failures.

In the switch study, the primary efficacy analyses, as well as a number of secondary efficacy and safety analyses, involved comparing the ISG arm at week 48 and the baseline regimen of the DSG arm at week 24. This form of differential follow-up between groups is unusual and the CDR team is uncertain of the impact this has on the results; between-treatment comparisons based on the same duration of follow-up would have more internal validity. While comparisons for efficacy end points were also reported between the treatment arms at week 24, those were not controlled for multiplicity. The FDA guidance document34 indicates virologic response at 48 weeks is the recommended time point for comparative efficacy determination among patients who are treatment-naive or who have a well-documented treatment history demonstrating no virologic failure, stating, “Twenty-four weeks of data are appropriate for drugs that have some benefit over existing options (e.g., better efficacy, tolerability, ease of administration), while 48 weeks is recommended for drugs with comparable characteristics to existing options.” However, the expert consulted for this CDR review indicated that, while 24 weeks is a reasonable follow-up period for viral breakthrough after treatment switch, a longer duration of observation may increase the number of AEs identified.

External Validity

All trials were multinational, enrolling patients from a range of countries across North America, Central and South America, Western Europe, and Asia. Approximately 20% to 25% of the screened patients did not meet the eligibility criteria, primarily due to resistance to any of the study medications (all trials) and having plasma HIV-1 RNA level of < 1,000 copies/mL at screening (treatment-naive patients). According to the clinical expert consulted for this review, it is standard of care to perform baseline resistance-testing to prevent prescription of an inadequately active ARV, thus exclusion of patients based on resistance-testing does not affect the generalizability of the reviewed trials. Other notable eligibility criteria included not having serious liver or kidney impairments (i.e., not having exclusionary laboratory values), active infection, or acute hepatitis. The results may therefore not be generalized to patients with these conditions. A small proportion of patients (< 5%) were hepatitis B and/or C virus–positive, but the clinical expert consulted by CDR indicated that hepatitis co-infection should not negatively affect the bioavailability of the ARVs or their effectiveness.

The clinical expert consulted for this review indicated that the baseline demographic and clinical characteristics in DRIVE-FORWARD and DRIVE-AHEAD were generally reflective of treatment-naive patients in a Canadian setting. However, the number of patients with a history of AIDS (9% to 15% across groups) was higher than expected for a treatment-naive population. The clinical expert consulted by CDR indicated that AIDS is associated with lower CD4 counts and higher viral loads, which may lead to a lower likelihood of virologic success. A higher percentage of patients in the switch trial had a history of AIDS compared with the treatment-naive patients, likely resulting from their history of living with HIV-1 infection for longer than newly diagnosed treatment-naive patients.

The comparators used in the treatment-naive setting, and in particular, EFV/FTC/TDF used in DRIVE-AHEAD, is infrequently prescribed in contemporary clinical practice according to the expert, and have been largely displaced by first-line therapies that are better-tolerated regimens endorsed by the DHHS,4 e.g., BIC/TAF/FTC (Biktarvy), EVG/c/TAF/FTC (Genvoya), and DTG/ABC/3TC (Triumeq). EFV and DRV/r are known to cause neuropsychiatric and gastrointestinal adverse effects, respectively, which should be considered when assessing the generalizability of the safety data.

Efficacy

Only those efficacy outcomes identified in the review protocol are reported below (Table 3). See Appendix 4 for efficacy data from supportive and sensitivity analyses.

Virologic Response

Treatment-Naive

Overall, the treatment arms in each trial had comparable efficacy responses at week 48 (Table 11). Approximately 80% of patients achieved the FDA-defined snapshot algorithm of HIV-1 RNA < 50 copies/mL. Treatment differences in DRIVE-FORWARD and DRIVE-AHEAD were 3.9% (95% CI, −1.6 to 9.4) and 3.5% (95% CI, −2.0 to 9.0), respectively. In both cases, the pre-specified NIM of 10% was met, as the lower bound of the 95% CI for treatment differences was above the NIM of −10%. The secondary analyses (PP and sensitivity analysis using the OF approach) supported the primary analyses (Table 27). The proportions of patients with HIV-1 RNA ≥ 50 copies/mL using the FDA-defined snapshot approach were 11.2% versus 13.1% between DOR and DRV/r, respectively, in DRIVE-FORWARD, and 10.7% versus 10.2% between DOR/3TC/TDF and EFV/FTC/TDF, respectively, in DRIVE-AHEAD. Approximately 5% to 10% of the patients in the two studies had no virologic data at week 48. The proportion of patients with no virologic data in the EFV arm of DRIVE-AHEAD was noticeably higher compared with the DOR arm (9.1% versus 4.9%), mostly resulting from a disproportionately higher number of patients in the EFV arm discontinuing the study due to AEs or death.

Table 11. Virologic Response – Treatment-Naive Patients.

Table 11

Virologic Response – Treatment-Naive Patients.

A similar pattern was seen at week 96 (Table 11), where a greater proportion of patients in the DOR arm achieved the FDA-defined snapshot algorithm of HIV-1 RNA < 50 copies/mL. The between-treatment differences in the two trials were 7.1% (95% CI, 0.5 to 13.7) and 3.8% (95%CI, −2.4 to 10.0); and sensitivity analyses using the OF approach supported these findings (Table 29). The proportions of patients with HIV-1 RNA ≥ 50 copies/mL using the FDA-defined snapshot approach were 17.2% versus 20.2% between DOR and DRV/r, respectively, in DRIVE-FORWARD, and 15.1% versus 12,1% between DOR/3TC/TDF and EFV/FTC/TDF, respectively, in DRIVE-AHEAD. The proportions of patients with no virologic data at week 96 ranged between 7% and 15%. More patients in the comparator arms of both trials had no virologic data compared with the DOR arm, 13.8% versus 9.8% and 14.3% versus 7.4% in DRIVE-FORWARD and DRIVE-AHEAD, respectively, mostly due to a disproportionately higher percentage of patients in the comparator arms discontinuing the studies.

Treatment-Switch

In DRIVE-SHIFT, more than 90% of patients across the treatment arms achieved the FDA-defined snapshot algorithm of HIV-1 RNA < 50 copies/mL (Table 12). The treatment difference between the ISG arm at week 48 and baseline regimen at study week 24 for the DSG arm was 3.8% (95% CI, −7.9 to 0.3), meeting the pre-specified NIM of 8%, as the lower bound of the 95% CI for the between-treatment difference was above the NIM. Of note, noninferiority was not met when data from the initial database lock (dated March 27, 2018) were used for the primary analysis. In this analysis, five patients in the ISG arm had missing HIV-1 RNA data by week 48 (week 24, n = 3; week 48, n = 2) and were analyzed as treatment failures according to the FDA snapshot approach. Based on this, 90.4% and 94.6% of patients achieved HIV-1 RNA < 50 copies/mL with a difference between groups of −4.2% (95% CI, −8.4% to −0.1%) (Appendix 4 Table 28). The NIM was only met following the addition of these missing data into the dataset. The secondary analysis (sensitivity analysis using the OF approach) supported the findings from the primary analyses (Appendix 4 Table 28). The treatment difference between the ISG and baseline regimen (both at week 24) was −0.9% (95%CI, −4.7 to 3.0).

Table 12. Virologic Response – Treatment-Experienced Patients.

Table 12

Virologic Response – Treatment-Experienced Patients.

The proportion of patients with HIV 1 RNA ≥ 50 copies/mL using the FDA-defined snapshot approach was < 3% across treatment arms at both time points. Patients with no virologic data at week 24 ranged between 3% and 5% in the ISG and DSG arm, and 7.6% in the ISG arm at week 48.

CD4 Cell Count

Treatment-Naive

The mean CD4 cell count at baseline ranged between 411 and 435 cells/mm3 across the trials (Table 13). In both trials, patients had an increase in CD4 cell count at weeks 48 and 96, regardless of treatment. The mean differences between the treatment arms at week 48 were 7.1 (95% CI, −20.8 to 35.0) and 10.1 (95% CI, −16.1 to 36.3) in DRIVE-FORWARD and DRIVE-AHEAD, respectively. At week 96, the respective treatment differences in the two trials were 17.4 (95% CI, −14.5 to 49.3) and 14.7 (95% CI, −18.7 to 48.2).

Table 13. CD4 Cell Count – Treatment-Naive Patients.

Table 13

CD4 Cell Count – Treatment-Naive Patients.

Treatment-Switch

The mean CD4 cell count at baseline ranged from 649 to 665 cells/mm3 in the two treatment arms (Table 14). The mean differences between the arms at both time points were comparable, albeit numerically greater at the primary time point. The treatment differences at the primary and secondary time points were −4.0 (95% CI, −31.6 to 23.5) and −12.8 (95% CI, −41.1 to 15.4), respectively.

Table 14. CD4 Cell Count – Treatment-Experienced Patients.

Table 14

CD4 Cell Count – Treatment-Experienced Patients.

Drug Resistance

Treatment-Naive

Among the patients who met viral resistance-testing criteria, a smaller percentage underwent successful genotypic and phenotypic resistance-testing. Reasons for not performing resistance-testing include limited sample availability (< 400 copies/mL), and other site error (samples not collected [on time or at all] or sent).

Overall, the number of patients with PDVF and those who discontinued without PDVF increased with follow-up duration; the number of patients with a successful resistance test also increased over this period. Likewise, more patients in either arm within the trials developed resistance at week 96 compared with week 48. The incidences of resistance-associated mutations (RAMs), genotypic or phenotypic, were low across treatment arms (< 15 cases in any treatment group) in both trials, and the clinical expert consulted for this review shared this conclusion. There were more cases of genotypic RAMs than phenotypic RAMs, consistent with the notion that not all genotypic RAMs confer phenotypic resistance. Results are summarized in Table 15.

Table 15. Drug Resistance – Treatment-Naive Patients.

Table 15

Drug Resistance – Treatment-Naive Patients.

Treatment-Switch

One incidence of genotypic and phenotypic RAM against the background NRTI was found in the DSG arm prior to switching treatment at week 24. No other RAMs were found by week 48 in either arm (Table 16).

Table 16. Drug Resistance – Treatment-Experienced Patients.

Table 16

Drug Resistance – Treatment-Experienced Patients.

Adherence

Treatment-Naive

Data for per cent adherence are presented in Table 17 using the “full-compliance” definition, under which an “on-therapy” study day was reported if the patient took the required number of tablets from each supplied bottle/container. In each trial, while in the study, per cent adherence between the treatment arms was generally similar; more than 85% patients had an adherence of 90% or higher at both time points. No formal statistical test was completed for these end points.

Table 17. Treatment Adherence – Treatment-Naive Patients.

Table 17

Treatment Adherence – Treatment-Naive Patients.

Treatment-Switch

Similar to the treatment-naive patients, while in the study, per cent adherence in DRIVE-SHIFT was high and generally similar between-treatment arms by week 48 (Table 18); adherence with the study medication regimen was ≥ 90% for most participants in the ISG and for the DSG before and after switching to DOR/3TC/TDF. No formal statistical test was completed for these end points.

Table 18. Treatment Adherence – Treatment-Experienced Patients.

Table 18

Treatment Adherence – Treatment-Experienced Patients.

Health-Related Quality of Life (EuroQol 5-Dimensions 5-Levels Visual Analogue Survey)

HRQoL, as assessed by the EQ-5D-5L VAS, was measured only in DRIVE-SHIFT. The mean changes from baseline were −1.23 and −0.70 for ISG and DSG, respectively, at week 24 and −0.76 and −0.86 for ISG and DSG, respectively, at week 48. The treatment difference between the ISG and DSG arm was only applicable to week 24 due to different lengths of drug exposure to DOR/3TC/TDF in each treatment group.

Table 19. Health-Related Quality of Outcomes – Treatment-Experienced Patients.

Table 19

Health-Related Quality of Outcomes – Treatment-Experienced Patients.

Subgroup Analyses

Data for subgroup analyses relevant for this review are presented here. Data were available for treatment-naive patients only, as the switch trial included patients who were virologically suppressed with ART regimens.

Overall, the proportions of patients achieving HIV-1 RNA < 50 copies/mL were numerically smaller for patients with baseline HIV-1 RNA > 100,000 copies/mL than those with baseline HIV-1 RNA ≤ 100,000 copies/mL (Table 20). Overall, between-treatment differences across subgroups ranged between −0.5 and 3.0 percentage points at week 48 and between −0.6 and 6.0 percentage points at week 96.

Table 20. Virologic Response by Subgroups – Treatment-Naive Patients.

Table 20

Virologic Response by Subgroups – Treatment-Naive Patients.

Virologic success was also measured by background NRTI treatment in DRIVE-FORWARD. Results were consistent with the primary analysis; both groups achieved a similar proportion of virologic success at both time points regardless of background NRTI received (data not presented).

Change from baseline in CD4 cell counts between-treatment arms varied by subgroups in the DRIVE-AHEAD (Table 21). At both time points post-baseline, patients with baseline plasma HIV-1 RNA > 100,000 copies/mL in the DOR/3TC/TDF arm had a numerically greater CD4 cell count compared with the EFV/FTC/TDF arm. CD4 cell counts across subgroups within the trials generally increased over time, although the magnitude of increase was greater among patients with baseline plasma HIV-1 RNA ≤ 100,000 copies/mL.

Table 21. CD4 Cell Count by Subgroups – Treatment-Naive Patients.

Table 21

CD4 Cell Count by Subgroups – Treatment-Naive Patients.

Harms

Only those harms identified in the review protocol (Table 3) are reported below. See Table 23 for detailed harms data. Harms data through weeks 96 and 48 are provided for treatment-naive and treatment-switch patients, respectively.

Table 23. Harms in Treatment-Experienced Patients (≤ 48 Weeks).

Table 23

Harms in Treatment-Experienced Patients (≤ 48 Weeks).

Adverse Events

Treatment-Naive

The overall frequency of AEs ranged between 82% and 94% across trials. The majority of these events were mild to moderate in intensity. The most common AEs across treatment groups included diarrhea, headache, upper respiratory tract infection (URTI), nausea, viral URTI, nasopharyngitis, pharyngitis, fatigue, back pain, bronchitis, cough, syphilis, upper abdominal pain, insomnia, dizziness, somnolence, abnormal dreams, and rash-related events. AEs that occurred at noticeably different frequencies between-treatment groups (≥ 5%) included diarrhea (17.0% versus 23.8%), URTI (13.3% versus 7.8%), and back pain (7.3% versus 2.9%) in DRIVE-FORWARD and dizziness (10.2% versus 38.2%), abnormal dreams (4.9% versus 12.1%), and rash-related events (7.1% versus 18.1%) in DRIVE-AHEAD.

Treatment-Switch

In the switch study, patients in the ISG arm experienced more AEs compared with the baseline regimen at week 24 for the DSG arm (68.9% versus 52.5%, respectively). The most common AEs between the treatment groups across time points included diarrhea, nasopharyngitis, back pain, and headache.

Serious Adverse Events

Overall, less than 10% of treatment-naive patients experienced one or more SAEs through week 96, with similar proportions across treatment groups within each trial. Gastrointestinal disorders and infection and infestations constituted the majority of the SAEs.

The percentage of patients in DRIVE-SHIFT that experienced SAEs by week 48 did not exceed 5% at any time point. Infection and infestations constituted the majority of the SAEs.

Withdrawals Due to Adverse Events

The proportions of treatment-naive patients with withdrawal due to adverse events (WDAEs) were generally low across trials (< 8%). Patients in the EFV/FTC/TDF arm of DRIVE-AHEAD had more WDAEs compared with the DOR/3TC/TDF arm (7.4% versus 3.0%). In the switch trial, less than 4% of patients in either arm had WDAEs at any time point by week 48.

Mortality

The number of deaths reported here includes those who died during and after the treatment phase of the base study. A total of 11 deaths were reported in DRIVE-FORWARD and DRIVE-AHEAD. The primary causes of deaths were natural causes, pulmonary embolism, myocardial infarction, cardiac failure, Hodgkin’s disease, suicide, cocaine overdose, road accident, or unknown. None of the reported deaths with known causes were deemed to be related to the study drug according to the site investigator. In DRIVE-SHIFT, two reported cases of death occurred, both in the ISG arm, one of which (a myocardial infarction) was considered to be related to the study drug, although no confirmatory diagnosis (diagnosis by a medical professional or autopsy) was done.

Of note, all reported cases of death from cardiac events occurred in patients receiving DOR.

Notable Harms

Lipid Profile

All three trials measured lipid profiles, of which changes from baseline in fasting LDL and fasting non-HDL at week 48 (DRIVE-FORWARD and DRIVE-AHEAD) or week 24 (DRIVE-SHIFT) were part of the statistical testing hierarchy. Overall, baseline mean levels for each type of lipid were balanced between the treatment groups across trials, with the exception of fasting triglycerides in DRIVE-AHEAD, which were higher in the DOR/3TC/TDF arm than in the EFV/FTC/TDF arm (199.5 mg/dL versus 123.0 mg/dL).

Among treatment-naive patients (Table 24), fasting LDL and non-HDL levels were decreased in the DOR arms and increased in their respective comparators arms at week 48 in DRIVE-FORWARD and DRIVE-AHEAD; the mean differences for change from baseline in fasting LDL between the treatment arms (95% CI) were −14.6 mg/dL (−18.1 to −11.1) and −10.0 mg/dL (−13.5 to −6.5), respectively; P < 0.0001 in both cases. For change from baseline in non-HDL, the mean differences between the treatment arms were −19.3 mg/dL (95% CI, −23.3 to −15.3) and −17.02 mg/dL (95% CI, −20.9 to −13.2), respectively; P value < 0.0001 in both cases. Between-treatment differences for fasting total cholesterol and fasting triglycerides followed a similar pattern, with decreases in DOR arms and increases in comparator arms. Changes from baseline in fasting HDL increased in both treatment groups, although a numerically greater increase occurred in the EFV/FTC/TDF arm in DRIVE-AHEAD. Data at week 96 reflected a similar pattern, where patients receiving DOR showed greater improvement in lipid profiles compared with the respective comparator arm (Table 25).

Table 24. Harms – Lipid Profile in All Patients (≤ 48 Weeks).

Table 24

Harms – Lipid Profile in All Patients (≤ 48 Weeks).

Table 25. Harms – Lipid Profile in Treatment-Naive Patients (96 Weeks).

Table 25

Harms – Lipid Profile in Treatment-Naive Patients (96 Weeks).

Among treatment-switch patients, those in the ISG arm had a numerically greater decrease from baseline in fasting LDL and non-HDL at week 24 compared with the DSG arm; mean difference −15.3 mg/dL (95% CI, −18.9 to −1.6) and −23.9 mg/dL (95%CI, −28.1 to −19.6), respectively; no P value was reported in either case. All statistical comparisons related to lipid profile were done in a subset of patients on a ritonavir-boosted PI regimen (termed ritonavir-boosted PI strata), as the majority (approximately 70%) of the participants in DRIVE-SHIFT were on this regimen at baseline. At week 24, patients in the ISG arm had a statistically significantly greater change from baseline in fasting LDL and non-HDL compared with the DSG arm; between-treatment differences (95% CI) were −14.65 mg/dL (−18.92 to −10.38) and −23.03 mg/dL (−28.00 to −18.05), respectively; P value < 0.0001 in both cases. Data for the full available sample set are provided in Table 24. A similar pattern was found for fasting cholesterol, triglycerides, and HDL; patients in the ISG arm had a numerically greater improvements in lipid levels from baseline compared with the DSG arm.

Approximately 2% to 7% of patients in the three studies received (started, stopped, or modified dosage) lipid-lowering therapy. For all trials and time points, the between-treatment differences were small and not meaningful clinically or statistically (data not presented).

Neuropsychiatric Adverse Events

Neuropsychiatric AEs at week 48 were considered a primary safety outcome in DRIVE-AHEAD, and three categories were specifically analyzed in a pre-specified order of statistical hierarchy: dizziness, sleep disorders and disturbances, and altered sensorium. A statistically significantly lower proportion of patients in the DOR arm reported all three AEs compared with those in the EFV arm; between-treatment differences were −28.3 (95% CI, −34.0 to −22.5), −13.5 (95% CI, −19.1 to −7.9), and −3.8 (95% CI, −7.6 to −0.3) for dizziness, sleep disorders and disturbances, and altered sensorium, respectively. Two additional categories of neuropsychiatric AEs, depression and suicide/self-injury and psychosis and psychotic disorders, occurred at a numerically lower proportion in the DOR arm than in the EFV arm (Table 26).

Table 26. Neuropsychiatric Adverse Events in Treatment-Naive Patients (48 Weeks).

Table 26

Neuropsychiatric Adverse Events in Treatment-Naive Patients (48 Weeks).

Data from 96 weeks showed a similar pattern for DRIVE-AHEAD patients, all five categories of neuropsychiatric AEs occurred at a lower frequency in the DOR arm compared with the EFV arm. The differences were most prominent for dizziness (10.2% versus 38.2%), sleep disorders and disturbances (14.0% versus 27.5%), and altered sensorium (5.2% versus 7.4%). Psychiatric disorders also occurred at a lower frequency in the DOR arm compared with the EFV arm (21.7% versus 37.4%) In DRIVE-FORWARD, the proportions of patients experiencing neuropsychiatric AEs and psychiatric disorders were largely similar between the groups.

Among treatment-switch patients, the overall rate of neuropsychiatric events was low. However, a greater proportion of patients in the ISG arm reported dizziness and sleep disorders compared with the DSG arm, both at week 24 prior to the switch to DOR and week 48 after the switch. Psychiatric disorders were also seen at a greater frequency in the ISG arm at both time points.

Altered Hepatic Enzymes

Measurements of hepatic enzymes showed an irregular pattern, depending on the grade of severity, treatment group, and trial. No one enzyme or severity grade was found to be consistently increased or decreased between-treatment arms across trials. Notably, the incidence of drug-induced liver injury, defined as having alanine transaminase or aspartate transaminase ≥ 3 × upper limit of normal range (ULN) plus bilirubin ≥ 2 × ULN and alkaline phosphatase < 2 × ULN, was low or lacking in all trials. Results are summarized in Table 22 and Table 23.

Table 22. Harms in Treatment-Naive Patients (96 Weeks).

Table 22

Harms in Treatment-Naive Patients (96 Weeks).

Cardiovascular Disease or Events

The overall incidence of cardiovascular disease was low in all trials, at < 3% in each treatment group (Table 22 and Table 23).

Renal and Bone-Related Toxicity

The overall incidence of renal and urinary disorders was low in all trials, at < 5% in each treatment group (Table 22 and Table 23).

Skin Disorders

Data for skin and subcutaneous tissue disorders as an organ class are reported here, and summarized in Table 22 and Table 23. Additionally, all rash-related events were reported as a composite outcome, including rash, erythematous rash, follicular rash, genital rash, generalized rash, macular rash, maculopapular rash, papular rash, pruritic rash, pustular rash, vesicular rash, and viral rash.

Skin disorders and rash-related events occurred at a similar frequency between-treatment arms in DRIVE-FORWARD. In DRIVE-AHEAD, the frequency of skin disorders and rash-related events was noticeably lower among patients receiving DOR compared with those receiving EFV. In DRIVE-SHIFT, the overall incidence of skin disorders and rash-related events was low, with generally similar frequency between-treatment arms.

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Copyright © 2019 Canadian Agency for Drugs and Technologies in Health.

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Except where otherwise noted, this work is distributed under the terms of a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International licence (CC BY-NC-ND), a copy of which is available at http://creativecommons.org/licenses/by-nc-nd/4.0/

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