Biktarvy® (BIC/FTC/TAF)
Weight Changes

Gilead Sciences, Inc. is providing this document to you, a US Healthcare Professional, in response to your unsolicited request for medical information.

Gilead Sciences, Inc. is providing this document to you, a US Healthcare Professional, in response to your unsolicited request for medical information.

Biktarvy® (BIC/FTC/TAF)

Weight Changes

This document is in response to your request for information regarding the use of Biktarvy® (bictegravir/emtricitabine/tenofovir alafenamide [BIC/FTC/TAF]) and weight changes. This response was developed according to principles of evidence-based medicine and includes data from Gilead phase 3 studies and large real-world cohorts.

Some data may be outside of the US FDA-approved prescribing information. In providing this data, Gilead Sciences, Inc. is not making any representation as to its clinical relevance or to the use of any Gilead product(s). For information about the approved conditions of use of any Gilead drug product, please consult the FDA-approved prescribing information.

The full indication, important safety information, and boxed warnings are available at:
www.gilead.com/-/media/files/pdfs/medicines/hiv/biktarvy/biktarvy_pi.

Summary

Background on BIC/FTC/TAF Use and Weight Changes

  • The global obesity epidemic has grown steadily in both PWH and the general population.1-3  
  • Post marketing experience has led to an investigation of increased weight with BIC/FTC/TAF or TAF-containing products. Because these events are reported voluntarily from a population of uncertain size, it is not always possible to reliably estimate their frequency or establish a causal relationship to drug exposure.4
  • Findings from two phase 3, randomized, double-blind studies suggested a mild weightsuppressive effect with the use of TDF as a component of FTC/TDF for HIV PrEP.5-7

Clinical Data on BIC/FTC/TAF Use and Weight Changes in ARV-Naive Participants

In a pooled analysis of ARV-naive participants (N=5680) who initiated a variety of ART regimens between 2003 and 2015 yielded the following findings:5

  • Median weight increases were observed in all study arms.5
  • Participants treated with INSTIs experienced more weight gain from BL than did those treated with NNRTIs or PIs. Within INSTIs, greater weight gain was seen with BIC- and DTG-based regimens compared with EVG-based ones.5
  • In participants treated with NRTIs, the most weight gain from BL was observed in those treated with TAF, followed by those treated with ABC and those treated with TDF.5
  • Weight changes that occurred 96Weeks after ART initiation were not associated with impacts on metabolic parameters.5

Clinical Data on BIC/FTC/TAF Use and Weight Changes in TE Participants

A pooled analysis was conducted among virologically suppressed participants (N=7316) who switched to a variety of ARV regimens or SBR.8

  • Weight increases were observed in both switch and SBR participants but were significantly greater in participants who switched their ART than in SBR participants, with most weight gain occurring ≤24 weeks after switch. Switch participants gained a median of 1.6 kg from BL to Week 48 and a median of 2 kg from BL to Week 96. SBR participants gained a median of 0.4 kg from BL to Week 48 and a median of 0.5 kg from BL to Week 96.8
  • Younger age and lower BL BMI were associated with ≥10% weight gain.8
  • BL ARV regimens were predictors of weight gain after switch. Switching from DTG to BIC was not associated with significantly different weight change, and switching from EVG/c to BIC was associated with a 0.7 kg greater weight gain at Week 48 compared with remaining on BL INSTI. Switching from TDF to TAF was associated with ≥10% weight gain compared with staying on TDF; switching from ABC to TAF was not.8
  • Weight gain ≥10% at Week 48 in switch participants was not associated with impacts on metabolic parameters.8

Pooled Analyses of Studies on BIC/FTC/TAF Use and Weight Changes in Both ARV-Naive and TE Participants

In a pooled analysis of six phase 3 studies, there was no significant difference in weight change between participants aged <50 years and those aged ≥50 years from BL to Week 48 in virologically suppressed PWH and from BL to Week 240 in ARV-naive PWH.9

In a pooled analysis of five phase 2/3 studies in participants assigned female at birth, weight gain occurred in virologically suppressed and ARV-naive participants; however, weight gain or loss was an uncommon AE and occurred in 1.2% of BIC/FTC/TAF-treated participants and in <1% of comparator regimen-treated participants.10

Real-World Data on BIC/FTC/TAF Use and Weight Changes

BIC/FTC/TAF weight change data from real-world studies are available for BICSTaR and the Trio cohort.

Background on BIC/FTC/TAF Use and Weight Changes

Weight Changes in the General Population

The global obesity epidemic has grown steadily in both PWH and the general population.1-3 In an analysis from 2003 using data from the NHANES and CARDIA studies, the average American aged 20 to 40 years gained nearly 1 kg/year.11 Weight gain can be a positive outcome for patients who are underweight; however, excess weight can increase the risk of cardiovascular and metabolic conditions for patients who are of normal weight or overweight. The returnto-health phenomenon, which likely results from the reduction of HIVassociated inflammation and accelerated catabolism, is one of the possible mechanisms for ART-associated weight gain.5

Product Labeling4

Post marketing experience has led to an investigation of increased weight with BIC/FTC/TAF or TAF-containing products. Because these events are reported voluntarily from a population of uncertain size, it is not always possible to reliably estimate their frequency or establish a causal relationship to drug exposure.

TDF and Weight Loss

Weight decrease was an AE reported in >2% of individuals receiving FTC/TDF and was reported more frequently than in individuals receiving placebo among HIV1–uninfected adults in PrEP trials.12 Findings from two phase 3, randomized, double-blind studies suggested a mild weightsuppressive effect with the use of TDF as a component of FTC/TDF for HIV PrEP.5-7 In a metabolic substudy of the iPrEx study, participants in the FTC/TDF arm gained less weight than those in the placebo arm. At Week 24, the median difference in net weight between the FTC/TDF and placebo arms was -0.8% (95% CI: 1.5% to -0.1%; P=0.02).6

Weight changes in individuals who did not have HIV and received TAFcontaining regimens for HIV PrEP and HBV treatment were similar to those in the general population (+0.5 to 1 kg/year).5,13,14 In the DISCOVER study, participants in the FTC/TAF arm had a median weight change of 1 kg at Week 48 and 1.7 kg at Week 96, whereas those in the FTC/TDF arm had a median weight change of 0 kg at Week 48 and 0.5 kg at Week 96.15

Clinical Data on BIC/FTC/TAF Use and Weight Changes in ARV-Naive Participants

Pooled Analysis: Weight Gain After Initiation of ART

Study design and demographics5

Pooled analyses were conducted with data from eight phase 3 studies to assess the association between BL demographics, HIV disease characteristics, and treatmentrelated contributors to weight gain in ARV-naive participants who initiated ART between 2003 and 2015 (Table 1). The association between weight changes and adverse metabolic effects was also analyzed. In all studies, participants were seen at BL and every 12 weeks for ≥96 weeks. BL weight and CD4 count values were higher in the more recent studies than in older studies.

Table 1. BL Demographics and Disease Characteristics of Participants Initiating ART (Sax et al)5a

Key Demographics and Characteristics

Pooled Population

(N=5680)

Age, mean (SD), years

37 (10.7)

Male, n (%)

5018 (88.3)

Race, n (%)

White

3499 (61.6)

Black

1471 (25.9)

Asian

290 (5.1)

Other

415 (7.3)

Weight, mean (SD), kg

78.9 (17.3)

BMI category,b n (%)

Underweight (BMI <18.5 kg/m2)

136 (2.4)

Normal (BMI ≥18.5 to <25 kg/m2)

2829 (50)

Overweight (BMI ≥25 to <30 kg/m2)

1785 (31.4)

Obese (BMI ≥30 kg/m2)

924 (16.3)

HIV-1 VL

Mean (SD), log10 c/mL

4.65 (0.7)

>100,000 c/mL, n (%)

1660 (29.2)

CD4

Mean (SD),c cells/mcL

401 (211.4)

≥200 cells/mcL, n (%)

4808 (84.7)

HIV disease status,
n (%)

Asymptomatic

4590 (80.8)

Symptomatic

599 (10.5)

AIDS

483 (8.5)

No use of IV drugs

5593 (98.5)

aART from all eight studies included EFV + FTC/TDF vs EFV + AZT/3TC, E/C/F/TDF vs EFV/FTC/TDF, E/C/F/TDF vs ATV/r + FTC/TDF, FTC/RPV/TDF vs EFV/FTC/TDF, E/C/F/TAF vs E/C/FTC/TDF, BIC/FTC/TAF vs ABC/DTG/3TC, and BIC/FTC/TAF vs DTG + FTC/TAF.

bCalculated out of a total of 5674 participants with available data.
cCalculated out of a total of 5679 participants with available data.

Results

Weight change5

Median weight increases were observed in all study arms; however, the magnitude of weight gain was greater in the more recent studies than in the older studies (Figure 1). The investigational treatment arms were also associated with numerically higher weight gains than in the comparator arms. Weight gains were greatest during the first 48 weeks of treatment and then started to plateau from Weeks 72 to 144. At Week 96, the median (IQR) weight gain was 2 (0.9 to 5.9) kg, and 17.3% of participants experienced weight increases of ≥10%. The proportion of participants in the overweight and obese BMI categories consistently increased through Week 96 (Figure 2). Weight gain was not universal across the studied population, as weight loss was reported in 30.2% of participants.


Figure 1
. Mean Weight Change From BL to Week 48 (Sax et al)5

aP<0.05.

BaselineWeek 24Week 48Week 96ObeseOverweightNormalUnderweight
Figure 2
. BMI Categories Through Week 96 (Sax et al)5

In multivariate models, BL CD4 count was the risk factor most strongly associated with weight gain. Participants with BL characteristics associated with advanced disease (CD4 counts <200 cells/mcL, HIV-1 VL >100,000 c/mL, and symptomatic HIV or AIDS) gained significantly more weight than their counterparts without these characteristics
(Table 2). Other BL risk factors associated with weight gain included no IV drug use, Black race, female sex, age <50 years, and BMI ≥25 kg/m2 (each, P<0.006).

Table 2. Risk Factors Associated With ≥10% Weight Gain (Sax et al)5

Risk Factors

During ART

OR (95% CI)a

P-Valuea

CD4 <200 vs ≥200 cells/mcL

4.36 (3.6–5.27)

<0.001

HIV VL >100,000 vs ≤100,000 c/mL

1.98 (1.65–2.37)

<0.001

BMI category

Normal vs overweight

1.54 (1.27–1.87)

<0.001

Normal vs obese

1.66 (1.29–2.15)

<0.001

Female vs male sex

1.54 (1.21–1.96)

<0.001

Black vs non-Black race

1.32 (1.1–1.59)

0.003

aValues from logistic regression model.

In longitudinal models through Week 96, female participants gained more weight than male participants, and statistically significant differences were noted at Weeks 60, 72, and 96 (P<0.05 at each time point). A significantly greater increase in weight gain was also observed in Black participants than in non-Black participants at all time points through Week 96 (P<0.05). At Week 96, Black female participants gained 1.12 kg more than Black male participants did (95% CI: 0.25–1.99; P=0.011; Figure 3).

Black FemaleBlack MaleNon-Black FemaleNon-Black Male01234561224364860728496108WeeksbbbbbbaWeight Change From Baseline,LSM,kg
Figure 3
. Weight Changes According to Sex and Race (Sax et al)5

aP<0.05 for Black vs non-Black females only.

bP<0.05 for Black vs non-Black females and Black females vs Black males.

Note: Published peerreviewed data were only available at Week 48.

Weight change and type of ART

When the effect of ART according to third agent was analyzed, it was noted that participants treated with INSTIs experienced greater weight gain than those treated with NNRTIs or PIs. Among those treated with INSTIs, significantly greater weight gain was observed at Week 96 in participants treated with BIC or DTG than in those treated with boosted EVG (LSM, +4.24 kg, +4.07 kg, and +2.72 kg, respectively; Figure 4). Among participants treated with NRTIs, the greatest increase in weight gain was observed in those treated with TAF (+4.25 kg), followed by ABC (+3.08 kg) and TDF (+2.07 kg).5

aaaa aaaaaaaaaaaaaaaaaaaaaaaaaWeight Change From Baseline, LSM, kgWeight Change From Baseline, LSM, kg
Figure 4
. Weight Changes in ARV-Naive Participants From BL to Week 96 According to ART (Sax et al)5

aP≤0.05 (asterisks are color coded to match the respective comparator: EVG/c for INSTIs and AZT for NRTIs).

Effect of weight changes on metabolic outcomes

To determine the impact of weight gain on metabolic outcomes, differences in fasting glucose, lipid parameters, blood pressure, and investigator-reported AEs were evaluated. No significant difference in changes in fasting glucose from BL to Week 96 was observed in participants with ≥10% weight gain compared with those with <10% weight gain. A small but significant increase in HDL levels was observed in participants with <10% weight gain compared with those with ≥10% weight gain. Small increases were seen in LDL and triglyceride levels for both groups; however, these small changes were not statistically significant.16 The median ratio of total cholesterol to HDL at Week 96 was 3.7 for participants with ≥10% weight increase and 3.5 for participants with <10% weight increase (P=0.027).5

No significant differences in diabetes- or hyperglycemia-related AEs were reported between participants with ≥10% or <10% weight gain. No clinically significant changes were observed in blood pressure values that were available from three of the clinical trials. There was no clinically significant metabolic impact of weight gain observed in this pooled analysis, as measured by fasting glucose, lipids, blood pressure, or investigator-reported AEs.5

Studies 1489 and 1490 in ARV-Naive Participants

Study design and demographics

Studies 1489 and 1490 are phase 3, randomized, double-blind, active-controlled, noninferiority clinical trials that compared BIC/FTC/TAF to DTG/ABC/3TC and DTG + FTC/TAF, respectively, in ARV-naive PWH.17,18

BL characteristics were similar between treatment arms in both studies (Table 3).

Table 3. Studies 1489 and 1490: BL Demographics and Disease Characteristics17-19

Key Demographics and Characteristics

Study 1489

Study 1490

BIC/FTC/TAF

(n=314)

DTG/ABC/3TC

(n=315)

BIC/FTC/TAF

(n=320)

DTG + FTC/TAF (n=325)

Age, median (range), years

31 (18–71)

32 (18–68)

33 (18–71)

34 (18–77)

Male, n (%)

285 (91)

282 (90)

280 (88)

288 (89)

Black or African descent, n (%)

114 (36)

112 (36)

97 (30)

100 (31)

HIV-1 VL, median (IQR), log10 c/mL

4.42
(4.03–4.87)

4.51
(4.04–4.87)

4.43
(3.95–4.9)

4.45
(4.03–4.84)

HIV-1 VL >100,000 c/mL, n (%)

53 (17)

50 (16)

66 (21)

54 (17)

CD4 count, median (IQR), cells/mcL

443
(299–590)

450
(324–608)

440
(289–591)

441
(297–597)

CD4 count <200 cells/mcL, n (%)

36 (11)

32 (10)

44 (14)

34 (10)

Weight change through Week 144

Median changes in weight from BL to Week 144 were similar in all arms (Table 4).19

Table 4. Studies 1489 and1490: Weight Changes From BL to Week 14419,20

Parameter

Study 1489

Study 1490

BIC/FTC/TAF

(n=314)

DTG/ABC/3TC

(n=315)

P-Value

BIC/FTC/TAF

(n=320)

DTG + FTC/TAF

(n=325)

P-Value

Weight change from BL, median, kg

+4.1

+3.5

0.196

+4.4

+5

0.649

≥5% weight gain, %

52

48

53

55

≥10% weight gain, %

29

25

30

32

Weight loss or no change from BL, %

24

26

21

22

OLE through Week 240

At the Week 144 secondary endpoint, all participants were eligible to receive BIC/FTC/TAF in the OLE phase. In Study 1489, 254 participants who were receiving DTG/ABC/3TC switched to BIC/FTC/TAF in the OLE phase, and 221 completed Week 240 assessments. In Study 1490, 265 participants who were receiving DTG + FTC/TAF switched to BIC/FTC/TAF in the OLE phase, and 236 completed Week 240 assessments. A total of 506 participants who were initially randomly assigned to receive BIC/FTC/TAF in both studies continued to receive BIC/FTC/TAF during the OLE phase.21

In a pooled analysis of the 506 participants who were initially randomly assigned to receive BIC/FTC/TAF, a median cumulative weight gain of 6.1 kg was observed through Week 240; approximately 3 kg weight gain occurred in the first 48 weeks, with a weight gain of 1 kg/year thereafter. Median weight changes through Week 240 for each arm are shown in Figure 5.5,22-27 One participant discontinued treatment due to a treatment-related AE of morbid obesity during Week 233.27

During the OLE, participants who switched to BIC/FTC/TAF from DTG/ABC/3TC had greater median weight gain between Weeks 144 and 240 than those who switched from DTG + FTC/TAF (2.4 vs 1.3 kg; P=0.01); however, cumulative weight changes were numerically similar across all treatment groups (Figure 5). One participant who was randomly assigned to DTG/ABC/3TC experienced treatment-related weight gain on Day 29 of the blinded phase, later switched to BIC/FTC/TAF, and discontinued at Week 228 in the OLE phase.21


Figure 5
. Studies 1489 and1490: Changes in Weight Throughout the Study According to the DTG-Based Regimen Received During the Double-Blind Phase21

aThis value represents the median cumulative change at Week 192; no changes in weight were observed from Week 192 to 240.

Note: The numbers within the bars represent the yearly weight changes (calculated as the median change from BL at the later time point minus the median change at the previous time point). The numbers to the left and right of each bar indicate the median cumulative weight changes at each time point.

Pooled subgroup analysis according to BL VL and CD4 counts through Week 240

Demographics and disposition by BL VL and CD4 counts28

A pooled subgroup analysis of Studies 1489 and 1490 was conducted according to BL VL and CD4 count in participants initially assigned to BIC/FTC/TAF.

At Week 48, BL VL ≥100,000 c/mL and CD4 <200 cells/mcL were associated with significantly greater median changes in weight from BL than were BL VL <100,000 c/mL and CD4 ≥200 cells/mcL (Table 5). At Week 240, the median weight change from BL was greater in participants who had ≥100,000 c/mL at BL than in those with a VL <100,000 c/mL (+9.9 kg vs +5.6 kg; P<0.001).

Table 5. Weight Changes in BIC/FTC/TAFTreated Participants From BL at Week 240a According to BL Stratification Subgroups28

Change in Weight,
Median, kg

BL VL
<100,000 c/mL
(n=353)

BL VL
≥100,000 c/mL
(n=78)

BL CD4
≥200 cells/mcL
(n=381)

BL CD4
<200 cells/mcL
(n=50)

BL VL
≥100,000 c/mL & CD4
<200 cells/mcL
(n=21)

BL to Week 48

+3

+4.1

+2.7

+8.3

+9.7

P<0.05

P<0.001

P<0.001b

Weeks 48 to 96

+0.3

+3.1

+0.6

+2.2

+1.2

Weeks 96 to 144

+0.9

+0.1

+0.8

-0.2

0

Weeks 144 to 192

+0.4

+1.9

+0.4

+2.4

+3.2

Weeks 192 to 240

+1

+0.7

+1.3

-0.6

-0.5

aNs refer to participants who had weight data available at BL and at Week 240.

bP-value vs BL VL <100,000 c/mL.

The median actual weights at Week 240 were comparable across subgroups, despite BL values that were significantly lower in the VL ≥100,000 c/mL subgroup than in the VL <100,000 c/mL subgroup (72.8 kg vs 77.8 kg; P<0.01) and in the CD4 <200 cells/mcL subgroup than in the CD4 ≥200 cells/mcL subgroup (71.2 kg vs 77 kg; P<0.05).

Clinical Data on BIC/FTC/TAF Use and Weight Changes in TE Participants

Weight Change Following ARV Switch in Virologically Suppressed Participants8

Study design and demographics

Pooled analyses were conducted with data from 12 randomized, active-controlled studies to identify the factors associated with weight change following ART switch. Virologically suppressed participants (HIV-1 VL <50 c/mL for ≥3 months) were randomly assigned to switch their ART (n=4166) or SBR (n=3150). Body weight was measured at least every 12 weeks, and participants were followed for ≥48 weeks following ART switch. Overall, 1949 participants switched both their NRTIs and third agents, 1326 switched their NRTIs only, and 891 switched their third agent only (Table 6).

Table 6. Participants According to NRTI or Third Agent Switch or SBR (Erlandson et al)8

ARV

Participants, n

 

ARV

Participants, n

NRTI Switch

 

NRTI SBR

FTC/TDFFTC/TAF

2670

 

FTC/TDF

2804

ABC/3TCFTC/TAF

605

 

FTC/TAF

637

 

 

ABC/3TC

600

Third Agent Switch

 

Third Agent SBR

PIEVG

696

 

PI

1110

DTGBIC

566

 

EFV

787

EFVEVG

515

 

RPV

704

EFVRPV

437

 

EVG

692

PIBIC

301

 

DTG

641

EVGBIC

223

 

NVP

331

NVPEVG

57

 

RAL

211

RPVEVG

45

 

 

Abbreviation: NVP=nevirapine.

BL demographics were similar across 10 of the 12 studies: mean age was 40 to 50 years; 10% to 20% were female; 10% to 30% were of Black race; 5% to 25% were of Hispanic/Latinx ethnicity; and 15% to 30% had BMI values ≥30 (obese). Of the other two studies, one study (GS-US-380-1961) included only female participants and a larger proportion of Black participants, and one study (GSUS292-1826) enrolled participants with a median age of 65 years, of whom <3% were of Black race.

Results

Weight change

Weight increases were observed in both groups; however, the median increases from BL were significantly greater (P<0.05) in participants who switched their ART than in SBR participants at all assessed time points, including at Weeks 48 (1.6 kg vs 0.4 kg, respectively) and 96 (2 kg vs 0.5 kg; each, P<0.0001). From BL to Week 48, 6.4% of switch participants and 2.2% of SBR participants experienced ≥10% weight gain. There were outliers with more extreme weight gain in 2.6% of switch participants (n=102) and in 1.7% of SBR participants (n=49). Weight gain reached a plateau between Weeks 24 and 36 for most participants in the majority of the switch and SBR categories. From BL to Week 96, the proportion of participants in the obese BMI category increased from 21% to 24.8% among switch participants and remained stable (21%) in SBR participants (Figure 6).

Weight gain was not universal across the population, as weight loss was reported by 28% of switch participants and by 43% of SBR participants by Week 96.

Patients, %Participants, %Participants, %SwitchParticipantsSBR Participants
Figure 6
. BMI Categories From BL Through Week 96 for Switch and SBR Participants (Erlandson et al)8


Younger age and lower BMI at BL were risk factors for experiencing ≥10% weight gain (Table 7). Race, ethnicity, and sex were not significant predictors of ≥10% weight gain in this pooled analysis.

Table 7. Risk Factors Associated With a 10% Weight Gain From BL to Week 48
(Erlandson et al)8,29

Risk Factors

During ART

OR (95% CI)

P-Value

BMI category

Underweight/normal vs obese

2.42 (1.8–3.26)

<0.0001

Underweight/normal vs overweight

1.67 (1.34–2.08)

<0.0001

Age ≤35 years vs >35 years

1.5 (1.2–1.87)

0.0003

Note: P-values are derived from a logistic regression model that included BL BMI and age as risk factors.

In analyses of the associations of sex and race on weight gain at Week 48, female participants had a 0.3 kg greater weight gain than male participants (P=0.0046), Black male participants gained 0.3 kg more than non-Black male participants (P=0.41), and non-Black female participants had a 0.5 kg greater weight gain than non-Black male participants (P=0.013). There was no significant difference in weight gain between Black vs non-Black participants, Black male vs Black female participants, and female participants of all races.

Weight change and type of ART

Consistent with the suggested mild weight-suppressive effect with the use of TDF as a component of FTC/TDF for HIV PrEP,5-7 switching from TDF to TAF was associated with ≥10% weight gain compared to staying on FTC/TDF (OR, 2.58; 95% CI: 1.94–3.43; P<0.0001); switching from ABC to TAF was not.


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Figure 7. Weight Changes From BL to Week 48 by ART Switch (Erlandson)8

aP<0.05 compared to weight change in SBR participants.

  • No significant difference in weight change was reported between groups that switched from a boosted PI to EVG/c or BIC (Figure 7A).
  • The change in weight reported when switching from DTG to BIC was not significantly different from remaining on DTG (Figure 7B).
  • Switching from EVG/c to BIC was associated with greater weight gain (0.7 kg) at Week 48 compared with remaining on EVG/c (P=0.034; Figure 7C).
  • Remaining on DTG was associated with greater weight gain (0.6 kg) at Week 48 than staying on EVG/c (P=0.02; Figure 7D).
  • Among participants who switched NRTIs, switching from TDF (+1.6 kg) or ABC to TAF resulted in significant weight gain (P<0.001; Figure 7E–F).
  • Participants who stayed on TDF or ABC experienced similar weight changes compared to those who stayed on TAF (Figure 7G).
Effect of weight changes on metabolic outcomes

Among participants who experienced ≥10% weight gain, changes in lipid panel values and systolic blood pressure were similar between switch and SBR participants at Week 48. Small reductions in HDL were observed in participants with ≥10% weight gain; other metabolic parameters were mostly stable. Treatmentemergent AEs associated with hyperglycemia or diabetes were not significantly different between participants who experienced ≥10% and <10% weight gain.

Study 1844 in Treatment-Experienced Participants

A phase 3, randomized, double-blind study evaluated the safety and efficacy of switching to BIC/FTC/TAF (n=282) vs staying on a BL regimen of DTG/ABC/3TC (n=281) in virologically suppressed PWH. After the Week 48 primary endpoint, participants were evaluated through Week 168 in an OLE phase. The all-BIC/FTC/TAF arm (N=547) consisted of participants who received ≥1 dose of BIC/FTC/TAF, including those who received BIC/FTC/TAF in the OLE phase.30 Most participants were White and male, and the median age was 47 years.30,31

The median weight change from BL to Week 120 was +1.8 kg among all BIC/FTC/TAF participants and was generally stable from Weeks 48 to 120 (Figure 8).30

WeightChangeFrom BL, Median (Q1, Q3), kgWeightChangeFrom BIC/FTC/TAF Start, Median (Q1, Q3), kg
Figure 8
. Study 1844: Weight Changes From BL to Week 48 and Week 12030

aShown for reference.

bThere were 12 participants with data through Week 168, and their median change in weight was +2.1 kg.

Study 1878

A phase 3, prospective, randomized, open-label clinical study compared switching to BIC/FTC/TAF 50/200/25 mg (n=290) vs staying on a BL regimen of boosted DRV or ATV + 2 NRTIs (n=287) in virologically suppressed PWH.32 The longterm efficacy and safety of BIC/FTC/TAF were evaluated in an OLE phase. Of the 533 participants who completed the 48-week randomized phase, 516 entered the OLE phase. The allBIC/FTC/TAF arm (N=534) consisted of participants who received ≥1 dose of BIC/FTC/TAF, including those who received BIC/FTC/TAF in the OLE phase.33 Most participants were White, male, and on a BL regimen containing FTC/TDF, and the median age was 48 years.33,34

The median weight change from BL to Week 96 was +2.2 kg among the allBIC/FTC/TAF participants and was generally stable from Weeks 48 to 96 (Figure 9).33

-202461224364860728496Weight Change From BIC/FTC/TAF Start, Median (Q1, Q3), kgWeekBIC/FTC/TAFStart2.2 kgAll-BIC/FTC/TAF
Figure 9
. Study 1878: Median Weight Change From BL to Week 9633

BRAAVE 2020

A phase 3, randomized, open-label, active-controlled study that enrolled participants from 82 sites evaluated the efficacy and safety of switching to BIC/FTC/TAF or staying on a BL regimen of 2 NRTIs plus a third agent with a delayed switch to BIC/FTC/TAF at Week 24 in virologically suppressed PWH who selfidentified as African American; Black; or mixed race, including Black. At BL, similar proportions of participants in both arms were on an NRTI backbone of FTC/TAF (BIC/FTC/TAF, 68%; SBR, 65%) and on a BL third agent of EVG/c (BIC/FTC/TAF, 38%; SBR, 35%) or DTG (BIC/FTC/TAF, 20%; SBR, 24%).35 Most participants were male, and the median age was 49 years. The median body weight was 88 kg for participants in the BIC/FTC/TAF arm and 89 kg for participants in the SBR arm.35

The median weight change from BL to Week 24 was similar between participants who switched to BIC/FTC/TAF (+0.9 kg) and those who continued their BL regimen (+0.2 kg; P=0.09).31 In participants who switched to BIC/FTC/TAF, the median weight change from BL to Week 48 was +1.3 kg in participants assigned female at birth and +0.8 kg for participants assigned male at birth. Through Week 48, greater increases in body weight were observed in participants who were initially randomly assigned to switch to BIC/FTC/TAF from a BL regimen containing TDF than in those with BL regimens containing TAF or ABC
(Figure 10).35,36


Figure 10
. BRAAVE 2020: Weight Changes From BL to Week 48 by BL NRTIs36

aBL for delayed switch: time of first BIC/FTC/TAF dose.

bFrom two-sided Wilcoxon rank-sum test comparing BL regimens containing TAF vs TDF.

Pooled Analyses of Studies on BIC/FTC/TAF Use and Weight Changes in Both ARV-Naive and TE Participants

Pooled Analysis of Data on PWH Aged ≥50 Years9

A pooled analysis was conducted using data from six phase 3 trials of ARV-naive and TE participants to assess the long-term efficacy and safety of BIC/FTC/TAF in PWH aged ≥50 years. In the included studies, changes in body weight were assessed from BL to Week 240 among ARVnaive participants and from BL to Week 48 in TE participants.

Table 8. BL Demographics and Disease Characteristics in Participants Aged <50 and ≥50 Years (Kityo et al)9

Key Demographics and Characteristics

ARV-Naive

Virologically Suppressed

<50 Years
(n=538)

≥50 Years
(n=96)

<50 Years
(n=640)

≥50 Years
(n=450)

Age, median (IQR), years

30 (25–37)

55 (52–60)

39 (33–45)

56 (52–60)

Male sex at birth, n (%)

484 (90)

81 (84.4)

393 (61.4)

342 (76)

Race, n (%)

White

304 (56.5)

59 (61.5)

369 (57.7)

291 (64.7)

Black

181 (33.7)

30 (31.3)

166 (25.9)

131 (29.1)

Othera

36 (6.7)b

4 (4.2)b

38 (5.9)b

17 (3.8)b

Hispanic or Latinx ethnicity, n (%)

144 (26.9)b

11 (11.5)

131 (20.5)c

72 (16)b

HIV-1 VL, median (IQR), log10 c/mL

4.4 (4–4.9)

4.5 (4–4.9)

N/A

N/A

CD4 count, median (IQR), cells/mcL

442
(299–590)

436
(235–601)

691
(523–887)

640
(486–852)

aIncluded American Indian or Alaska Native, Asian, Native Hawaiian or Pacific Islander, and other.

bDatum was missing for 1 participant.

cData were missing for 2 participants.

There was no significant difference in weight change between age groups in either cohort from BL to Week 48 or Week 240 (Table 9).

Table 9. Median Weight Changes From BL to End of Study in Participants Aged <50 and ≥50 Years (Kityo et al)9

Weight, Median (IQR), kg

ARV-Naive

P-Value

Virologically Suppressed

P-Value

<50 Years

≥50 Years

<50 Years

≥50 Years

BL

75.9
(67.3–87.1);
n=538

79.3
(70.7–89.9);
n=96

0.0285

76
(66–87.1)
n=640

81.1
(71.9–92.5);
n=450

<0.0001

Change at end of studya

+6.4 (2.4–12)
n=363

+4.8 (0.7–10.2)
n=68

0.087

+1.8 (-0.4 to 4)
n=609

+1.5 (-0.8 to 3.8)
n=429

0.2857

aEnd of study was Week 240 in studies of ARV-naive participants and Week 48 in studies of virologically suppressed, TE participants.

Pooled Analysis of Participants Assigned Female at Birth10

The efficacy and safety of BIC/FTC/TAF in participants assigned female at birth (N=679) were assessed in a pooled analysis of five phase 2 or 3 clinical studies through 48 weeks. Studies 1489 and 1490 were conducted in ARV-naive populations, while Studies 1961, 1474, and 4449 were conducted in virologically suppressed TE populations. In Studies 1489 and 1490, participants received either BIC/FTC/TAF or an active comparator regimen (DTG/ABC/3TC or DTG + FTC/TAF). Participants from Study 1961 either continued treatment with their BL regimen (E/C/F/TAF, E/C/F/TDF, or ATV/r + FTC/TDF) or switched to BIC/FTC/TAF. In the single-arm Studies 1474 and 4449, participants switched to BIC/FTC/TAF from other ARVs. Efficacy and safety assessments included virologic suppression (HIV-1 VL <50 c/mL), treatmentemergent resistance, AEs, and laboratory parameters.

Table 10. BL Demographics and Disease Characteristics of Female Participants Who Received BIC/FTC/TAF by Age (Orkin et al)10

Key Demographics and
Characteristics

ARV-Naive

Virologically Suppressed

18–49 Years

(n=54)

50–68 Years

(n=15)

6–17 Years

(n=59)

18–49 Years

(n=191)

50–64 Years

(n=43)

65–75 Years

(n=11)

Race, %

Black

48.1

46.7

76.3

37.7

44.2

9.1

White

35.2

40

3.4

29.3

23.3

90.9

Asian

0

0

16.9

22.5

11.6

0

Hispanic/Latina ethnicity, %

25.9

20

3.4

12

30.2

27.3

HIV-1 VL, median, log10 c/mL

4.3
(3.9–4.6)

4.3
(3.9–4.6)

All <50

CD4, median, cells/mcL

411
(276–535)

522
(285–713)

848
(665–1038)

666
(531–867)

682
(554–836)

726
(511–829)

eGFR, median, mL/mina

129
(104.8–163.1)

85.5
(75.4–109)

147
(135–173)

101.4
(85.2–117.7)

86.6
(75.6–111.6)

69.6
(61.2–82.2)

Weight, median (IQR), kg

73.3
(59.4–89.2)

73.6
(66.9–79.4)

40.5
(29.8–49.2)

65.5
(55.2–76.5)

76.2
(63–92.1)

61.8
(59–71)

aeGFR was calculated with the Cockcroft-Gault formula for adults and the Schwartz formula for pediatric participants (mL/min/1.72 m2).

In virologically suppressed participants aged 18 to 64 years, significantly greater gains in weight were observed from BL to Week 48 in participants who switched to BIC/FTC/TAF than in comparator regimen-treated participants (P<0.001; Figure 11). In virologically suppressed participants aged 65 to 75 years, median weight gains of 1 kg from BL to Week 48 were observed in participants who switched to BIC/FTC/TAF. As shown in
Figure 11, among ARV-naive participants aged 18 to 68 years, weight gains were observed from BL to Week 48 and from Weeks 48 to 144 in all treatment groups. No significant differences in weight change from BL to Weeks 48 and 144 were observed between the BIC/FTC/TAF and comparator arms. In adult participants, weight gain/loss was an uncommon AE and occurred in 1.2% of BIC/FTC/TAF-treated participants (4/314) and <1% of comparator regimentreated participants (2/306).

-505101520048144Weight Change,Median (IQR), kg1868 yearsBIC/FTC/TAFDTG/ABC/3TCDTG+FTC/TAFARV-NaiveWeekP=NSDTG + FTC/TAFDTG/ABC/3TCBIC/FTC/TAFARV-Naive Participants Aged 1868 Years323063nBL70 (6290)84 (7197)67 (5679)Weight, median (IQR), kg3.2 (1.17.3)2.9 (0.98.5)4 (06.8)Weight change, median (IQR), kgWeek 484.9 (1.611)7.9 (1.312.7)5 (111.1)Weight change, median (IQR), kgWeek 144P=NS-505101520048Weight Change,Median (IQR), kg1864 yearsBIC/FTC/TAFE/C/F/(TAF/TDF) or ATV + RTV + FTC/TDFVirologically SuppressedWeekComparatorsBIC/FTC/TAFTE Participants Aged 1868 Years230229nBL68 (5879)67 (5679)Weight, median (IQR), kg0.4 (-1.5 to 2)1.5 (-0.5 to 3.4)Weight change, median (IQR), kgWeek 48-505101520048Weight Change,Median (IQR), kg6575 yearsBIC/FTC/TAFWeekBIC/FTC/TAFTE Participants Aged 6575 Years11nBL62 (5971)Weight, median (IQR), kg1 (03)Weight change, median (IQR), kgWeek 48P<0.001P-value not provided
Figure 11. Weight Changes From BL Through Weeks 48 and 144 According to ARV and Virologic Status and Participant Age (Orkin et al)10

Real-World Data on BIC/FTC/TAF Use and Weight Changes

BICSTaR Study

BICSTaR is a 2-year, multicountry (pan-Europe, Canada, and Israel), prospective, observational cohort study in PWH to evaluate the effectiveness, safety, and tolerability of BIC/FTC/TAF in clinical practice.37,38

12-month pooled analysis

Month 12 data were pooled from 1135 participants who started BIC/FTC/TAF between June 2018 and September 2020 across France, Germany, Ireland, Italy, the Netherlands, Spain, the UK, Canada, and Israel (Table 11). The analysis included ARV-naive (n=180) and TE (n=955) participants who had BL and Month 12 data available and participants who had discontinued the study at the time of data cutoff (February 22, 2021).38 The most frequent reason for initiating BIC/FTC/TAF in ARV-naive participants was early treatment according to guidelines (77%), and a majority (59%) of TE participants switched to BIC/FTC/TAF to simplify their treatment regimen.37,38

Table 11. BICSTaR: BL Demographics and Disease Characteristics of Participants Treated With BIC/FTC/TAF for 12 Months37,38

Key Demographics and Characteristics

ARV-Naive

(n=180)

TE

(n=955)

Male, n (%)

159 (88)

791 (83)

Age

Median (Q1, Q3), years

38 (30, 48)

49 (39, 56)

≥50 years, n (%)

42 (23)

454 (48)

Weight, median (Q1, Q3), kg

70 (63, 81)

76 (67, 87)

White, n (%)

139 (77)

741 (78)

HIV-1 VL

>100,000 c/mL, n (%)

62 (35)

6 (1)

<50 c/mL, %

1

92

CD4 count, median (Q1, Q3), cells/mcL

400 (184, 553)

652 (424, 850)

Prior ART regimens, median (Q1, Q3), n

2 (1, 4)c

Prior ART regimen, %

INSTI/NNRTI/PI

65/20/16

TAF/TDF/ABC-based

46/36/13

Any comorbidity, n (%)

85 (47)d

691 (72)

an=177. bn=849. cn=945. dn=178.

The most common (3%) DRAE was weight increased, which led to BIC/FTC/TAF discontinuation in 2% of participants. There were statistically significant median increases in weight and BMI from BL to Month 12 in participants with available data at both time points; more ARV-naive participants than TE participants experienced categorical weight changes (>5%, >10%, and >5 kg) from BL to Month 12 (Table 12).37,38

Table 12. BICSTaR: Categorical Weight Changes and Median Change in Weight and BMI at Month 1237,38

Parameter

ARV-Naive

(n=90)

TE

(n=532)

Change in weight from BL, n (%)

>5%

44 (49)

117 (22)

>10%

25 (28)

31 (6)

>5 kg

33 (37)

71 (13)

Parameter

BL

Month 12

Median Changea,b

BL

Month 12

Median Changea,b

Weight, median
(Q1, Q3), kg

70

(62.5, 80.4)

75.9

(68, 84)

+3.4;

P<0.001

75.9

(67, 87)

77

(68, 87.8)

+1;

P<0.001

BMI, median
(Q1, Q3), kg/m2

22.4

(20.4, 25.7)

24.5

(21.9, 28)

+1.1;

P<0.001

25.1

(22.5, 28.1)

25.5

(22.9, 28.5)

+0.3;

P<0.001

aIndividual participant changes from BL to Month 12 were calculated.

bThe sign test was used for the absolute change from BL to Month 12 within ARV-naive or TE groups to calculate the P-values.

Note: Table included participants with data at BL and Month 12.

A multivariate analysis assessed the association of weight gain with the following variables: sex, age, race, ongoing metabolic disorders at BL, and HIV-1 VL (≤100,000 vs >100,000 c/mL) in 86 ARV-naive participants and found that Black race was the only variable associated with a relative weight increase of >5% from BL to Month 12 (OR, 6.58; 95% CI: 1.31–33.09; P=0.022); however, only 13 participants identified as Black, so caution should be used when interpreting these data. In a multivariate analysis that assessed the association of the same variables in addition to ongoing cardiovascular disorder at BL, BL BMI, third agent ARTs, and HIV-1 VL (≤50 c/mL vs >50 c/mL) in 506 TE participants, the following factors were significantly associated with a >5% weight gain at Month 12: female sex (OR, 2.13; 95% CI: 1.2–3.8; P=0.01); NNRTIs (vs INSTIs) taken as a third agent prior to BIC/FTC/TAF initiation (OR, 2.16; 95% CI: 1.26–‍3.71; P=0.005). Increasing age was associated with lower odds of >5% weight gain (OR, 0.97; 95% CI: 0.96–0.99; P=0.009). There were small numerical increases from BL to Month 12 in the percentages of participants categorized as obese and overweight (Figure 12).37,38


Figure
12. BICSTaR: BMI Categories at BL and Month 1238

Note: Only participants with BMI data at BL and Month 12 were included.

Pooled analysis of 24-month data

The effectiveness and safety of BIC/FTC/TAF in 135 ARV-naive and 703 TE PWH were evaluated in a 24-month pooled analysis of data from clinical sites in France, Germany, Ireland, Italy, Spain, the Netherlands, the UK, Canada, and Israel (data cutoff of August 4, 2021). Data were included from participants who had completed study visits at BL and at Month 24 or had discontinued the study at the time of the data cutoff. BL demographics were similar to those of the 12month cohort.39 Significant increases in body weight occurred in both ARV-naive (n=75; 4.3 kg; P<0.05) and TE (n=376; 1.2 kg; P<0.05) participants. In the ARV-naive cohort, a greater increase in body weight from BL to Month 24 was observed in participants with a CD4 count <350 cells/mcL (n=33; 6.6 kg; P<0.05) than in those with a CD4 count ≥350 cells/mcL (n=39; 4 kg; P<0.05).39

Table 13. BICSTaR: Weight Changes in Subgroups of TE Participants at 24 Months39a

Subgroups

TE Cohort

BL

24 Months

BL

24 Months

Sex

Female (n=49)

Male (n=327)

Body weight, median (Q1Q3), kg

65 (59–74)

65 (58–78)

78 (69–88)

79 (70–90)

Change from BL, median (Q1Q3), kg

+0.5 (-1.6 to +3)

+1.3 (-1 to +4.8)

P-value for 24 months vs BL

Not significant

<0.05

Age

<50 years (n=185)

≥50 years (n=191)

Body weight, median (Q1Q3), kg

76 (66–86)

77 (68–88)

77 (68–87)

78 (70–89)

Change from BL, median (Q1Q3), kg

+1.5 (-0.9 to 4.7)

+1 (-1 to 4.3)

P-value for 24 months vs BL

<0.05

<0.05

Race

Black (n=36)

Other (n=340)b

Body weight, median (Q1Q3), kg

72 (65–85)

74 (66–86)

77 (67–87)

78 (69–89)

Change from BL, median (Q1Q3), kg

+0.9 (-1 to 4.3)

+1.2 (-1 to 4.5)

P-value for 24 months vs BL

Not significant

<0.05

Prior TDF use

Without TDF (n=237)

Prior TDF (n=137)

Body weight, median (Q1Q3), kg

77 (67–87)

78 (69–90)

74 (67–86)

77 (68–88)

Change from BL, median (Q1Q3), kg

+1 (-1 to 4.5)

+2 (0–4.3)

P-value for 24 months vs BL

<0.05

<0.05

aParticipants with available weight and BMI data at BL and Month 24 were included in the analysis.

bPeople of other races, of whom the majority were White.

Weight increased was the most common (5%) DRAE and was reported in 10 participants (7%) in the ARV-naive cohort and in 29 participants (4%) in the TE cohort.40 Weight increased was the most common (3%) DRAE that led to BIC/FTC/TAF discontinuation.39

36-month pooled analysis41

A total of 67 ARV-naive and 382 TE PWH in Germany, France, and Canada who completed 24 months of BIC/FTC/TAF participated in the extension phase, with a 36-month data cutoff date of August 12, 2022.

Among participants with available weight at BL and Month 36, the median (Q1, Q3) weight changes from BL were 4.3 (-0.5, 7.3) kg (P=0.003) in the ARV-naive group and 1.7 (1, 4.3) kg (P<0.001) in the TE group. Among participants with available BMI data at BL and Month 36, the median (Q1, Q3) change was 1.5 (-0.1, 2.5) kg/m2 (P=0.003) in the ARVnaive group and 0.5 (-0.3, 1.5) kg/m2 (P<0.001) in the TE group. At 36 months, 48% of ARV-naive participants had a normal BMI.

4-year pooled analysis42

An analysis was conducted among 125 ARV-naive and 675 TE participants from Canada, France, and Germany who had ≥4 years of follow-up data (2 years in the main BICSTaR study plus ≥2 years in the extension phase), with a data cutoff of September 1, 2023.

At 4 years, the median weights in the ARV-naive and TE groups were 74.2 and 78 kg, respectively. The median change in weight from BL to 4 years in participants with available data at both time points was +4.4 kg (P=0.019) among 29 ARV-naive participants and +1.6 kg (P<0.001) among 269 TE participants. The median BMIs in the ARV-naive and TE groups at 4 years were 25.3 and 25.4 kg, respectively. The median change in BMI from BL to 4 years was +1.6 kg/m2 in the 29 ARV-naive participants (P=0.022) and +0.5 kg/m2 in the 269 TE participants (P<0.001).

The most common DRAE was weight increased (ARV-naive, n=9 [7%]; TE, n=25 4%]) and led to discontinuation of BIC/FTC/TAF in 21 participants overall.

Trio Cohort43

The Trio Health HIV Research Network electronic medical records database was used in a retrospective observational cohort study that evaluated the impact of INSTIs on weight gain in virologically suppressed adults (N=2272) who switched to a new INSTI-based treatment regimen in clinical practice. This design allowed both prior switches from TDF to TAF and prior exposures to TDF to be accounted for.

One year after therapy switch, the mean increases in weight were 1.9 kg for RAL, 1.5 kg for EVG, 1.2 kg for DTG, and 0.9 kg for BIC.

There was no difference in weight gain (≥3%, 5%, or 10% at 12 months) between the different INSTIs after accounting for BL characteristics, pre- and post-switch drug class, and TDF to TAF switch or pre-switch TDF (Figure 13).


Figure 13
. Trio Cohort: Observed Proportion of PWH With Weight Gain 1 Year After INSTI Switch43

Note: There were no differences in weight gain by INSTI at all weight thresholds in the adjusted analysis.


Figure 14. Trio Cohort: Variables Associated With Risk of Weight Gain ≥3% 12 Months After INSTI Switch43

Additional Weight Change Data

Several studies regarding weight change have included BIC/FTC/TAF, with varying patient populations. This summary document includes data from Gilead phase 3 studies and large real-world studies. Studies not included can be found by conducting a literature search via PubMed or other databases.

References

1. Crum-Cianflone N, Roediger MP, Eberly L, et al. Increasing Rates of Obesity among HIV-Infected Persons during the HIV Epidemic. Plos ONE. 2010;5(4).

2. Finucane MM, Stevens GA, Cowan MJ, et al. National, regional, and global trends in body-mass index since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9.1 million participants. Lancet. 2011;377(9765):557-567.

3. Centers for Disease Control and Prevention (CDC), National Center for Health Statistics, Division of Analysis and Epidemiology. Health, United States, 2018 Table 21 Selected health conditions and risk factors, by age: United States, selected years 1988-1994 through 2015-2016. Available at: https://www.cdc.gov/nchs/hus/contents2018.htm#Table_021.

4. Enclosed, Gilead Sciences Inc. BIKTARVY® (bictegravir, emtricitabine, and tenofovir alafenamide) tablets, for oral use. US Prescribing Information. Foster City, CA.

5. Sax PE, Erlandson KM, Lake JE, et al. Weight Gain Following Initiation of Antiretroviral Therapy: Risk Factors in Randomized Comparative Clinical Trials. Clin Infect Dis. 2020;71(6):1379-1389.

6. Glidden D, Mulligan K, McMahan V, et al. Metabolic Effects of Preexposure Prophylaxis With Coformulated Tenofovir Disoproxil Fumarate and Emtricitabine. . Clinical Infectious Diseases (CID). 2018;67(3):411-419.

7. Spinner CD, Brunetta J, Shalit P, et al. DISCOVER STUDY for HIV Pre-Exposure Prophylaxis: F/TAF has a more Rapid Onset and Longer Sustained Duration of HIV Protection Compared with F/TDF [Presentation]. Paper presented at: IAS 2019; 21-24 July, 2019; Mexico City, Mexico.

8. Erlandson KM, Carter CC, Melbourne K, et al. Weight Change Following Antiretroviral Therapy Switch in People with Viral Suppression: Pooled Data from Randomized Clinical Trials. Clin Infect Dis. 2021.

9. Kityo CM, Gupta SK, Kumar PN, et al. Efficacy and safety of B/F/TAF in treatment-naïve and virologically suppressed people with HIV ≥ 50 years of age: integrated analysis from six phase 3 clinical trials. BMC Infectious Diseases. 2025;25(1):1061.

10. Orkin C, Ajana F, Kityo C, et al. Brief Report: Efficacy and Safety of Bictegravir/Emtricitabine/Tenofovir Alafenamide in Females Living With HIV: An Integrated Analysis of 5 Trials. J Acquir Immune Defic Syndr. 2021;88(4):393-398.

11. Hill JO, Wyatt HR, Reed GW, Peters JC. Obesity and the environment: where do we go from here? Science. 2003;299(5608):853-855.

12. Enclosed. Gilead Sciences Inc, TRUVADA® (emtricitabine/tenofovir disoproxil fumarate) tablets, for oral use. U.S. Prescribing Information. Foster City, CA.

13. Mayer KH, Molina JM, Thompson MA, et al. Emtricitabine and tenofovir alafenamide vs emtricitabine and tenofovir disoproxil fumarate for HIV pre-exposure prophylaxis (DISCOVER): primary results from a randomised, double-blind, multicentre, active-controlled, phase 3, non-inferiority trial. Lancet. 2020;396(10246):239-254.

14. Landovitz RJ, Donnell D, Clement M, et al. HPTN 083 Final Results: Pre-exposure Prophylaxis containing long-acting injectable cabotegravir is safe and highly effective for cisgender men and transgender women who have sex with men [Presentation]. Paper presented at: 23rd International AIDS Conference Virtual; 06-10 July, 2020.

15. Ruane P, Clarke A, Post FA, et al. Phase 3 Randomized, Controlled DISCOVER Study of Daily F/TAF or F/TDF for HIV Pre-exposure Prophylaxis: Week 96 Results [Poster PE3/16]. Paper presented at: 17th European AIDS Conference; 06-09 November, 2019; Basel, Switzerland.

16. Sax PE, Erlandson KM, Lake JE, et al. Weight Gain Following Initiation of Antiretroviral Therapy: Risk Factors in Randomized Comparative Clinical Trials [Supplemental Material]. Clin Infect Dis. 2019.

17. Wohl DA, Yazdanpanah Y, Baumgarten A, et al. Bictegravir Combined with Emtricitabine and Tenofovir Alafenamide Versus Dolutegravir, Abacavir, and Lamivudine for Initial Treatment of HIV-1 Infection: Week 96 Results from a Randomised, Double-Blind, Multicentre, Phase 3, Non-Inferiority Trial. The Lancet HIV. 2019;6(6):e355-e363.

18. Stellbrink HJ, Arribas JR, Stephens JL, et al. Co-Formulated Bictegravir, Emtricitabine, and Tenofovir Alafenamide Versus Dolutegravir with Emtricitabine and Tenofovir Alafenamide for Initial Treatment of HIV-1 Infection: Week 96 Results from a Randomised, Double-Blind, Multicentre, Phase 3, Non-Inferiority Trial. The Lancet HIV. 2019;6(6):e364-e372.

19. Orkin C, DeJesus E, Sax PE, et al. Three-Year Outcomes of the Fixed-Dose Combination Bictegravir, Emtricitabine, and Tenofovir Alafenamide vs Dolutegravir-Containing Regimens for Initial Treatment of HIV-1 Infection: Week 144 Results from Two Randomised, Double-Blind, Multicentre, Phase 3, Non-Inferiority Trials. The Lancet HIV. 2020;7:e389–400.

20. Orkin C, Sax PE, Arribas J, et al. Long-term Efficacy and Safety of Bictegravir/Emtricitabine/Tenofovir Alafenamide in ART-Naïve Adults [Poster PE3/14]. Paper presented at: 17th European AIDS Conference; 06-09 November, 2019; Basel, Switzerland.

21. Orkin C, Antinori A, Rockstroh J, et al. Outcomes After Switching From 144 Weeks of Blinded DTG/ABC/3TC or DTG+F/TAF to 96 Weeks of Open-label B/F/TAF [Poster P088]. Paper presented at: HIV Glasgow 23-26 October, 2022; Glasgow, UK.

22. Lakey W, Yang LY, Yancy W, Chow SC, Hicks C. Short communication: from wasting to obesity: initial antiretroviral therapy and weight gain in HIV-infected persons. AIDS Res Hum Retroviruses. 2013;29(3):435-440.

23. Taramasso L, Ricci E, Menzaghi B, et al. Weight Gain: A Possible Side Effect of All Antiretrovirals. Open Forum Infect Dis. 2017;4(4).

24. Tate T, Willig AL, Willig JH, et al. HIV infection and obesity: where did all the wasting go? Antivir Ther. 2012;17(7):1281-1289.

25. Yuh B, J. T, Butt AA, et al. Weight Change After Antiretroviral Therapy and Mortality. Clinical Infectious Disease. 2015;60(12).

26. Sharma A, Hoover DR, Shi Q, et al. Relationship between Body Mass Index and Mortality in HIV-Infected HAART Users in the Women's Interagency HIV Study. PLoS One. 2015;10(12):e0143740.

27. Sax P, Arribas J, Orkin C, et al. Long-term Integrated Analysis of B/F/TAF in Treatment-Naïve Adults With HIV Through Five Years of Follow-up [Poster EPB150]. Paper presented at: AIDS 2022; 29 July-2 August 2022; Montreal, Quebec, Canada.

28. Ramgopal M, Wurapa A, Baumgarten A, et al. 5-year outcomes of bictegravir/emtricitabine/tenofovir alafenamide as initial treatment of HIV-1 in adults with high baseline HIV-1 RNA and/or low CD4 count in two phase 3 randomized clinical trials [Poster 1251]. Paper presented at: IDWeek; 19–23 October, 2022; Washington, D.C., US.

29. Erlandson KM, Carter CC, Melbourne K, et al. Weight Change Following Antiretroviral Therapy Switch in People with Viral Suppression: Pooled Data from Randomized Clinical Trials [Supplement]. Clin Infect Dis. 2021.

30. Brar I, Ruane P, Ward D, et al. Long-term Follow-up After a Switch to Bictegravir, Emtricitabine, and Tenofovir Alafenamide From Dolutegravir, Abacavir, and Lamivudine [Poster 1028]. Paper presented at: IDWeek Virtual; 21-25 October, 2020.

31. Molina JM, Ward D, Brar I, et al. Switching to fixed-dose bictegravir, emtricitabine, and tenofovir alafenamide from dolutegravir plus abacavir and lamivudine in virologically suppressed adults with HIV-1: 48 week results of a randomised, double-blind, multicentre, active-controlled, phase 3, non-inferiority trial. The Lancet HIV. 2018;5(7):e357-365.

32. Daar ES, DeJesus E, Ruane P, et al. Efficacy and safety of switching to fixed-dose bictegravir, emtricitabine, and tenofovir alafenamide from boosted protease inhibitor-based regimens in virologically suppressed adults with HIV-1: 48 week results of a randomised, open-label, multicentre, phase 3, non-inferiority trial. The Lancet HIV. 2018;5(7):e347-e356.

33. Rockstroh JK, Molina JM, Post F, et al. Long-Term Follow-Up After a Switch to Bictegravir, Emtricitabine, Tenofovir Alafenamide (B/F/TAF) from a Boosted Protease Inhibitor-Based Regimen [Poster P036]. Paper presented at: HIV GLASGOW Drug Therapy Virtual; 05-08 October, 2020; Glasgow, UK.

34. Fox J, Post FA, Johnson M, et al. Phase 3, Randomized, Controlled Trial of Switching to Fixed-Dose Bictegravir/Emtricitabine/Tenofovir Alafenamide From Boosted Protease Inhibitor-Based Regimens in Virologically Suppressed Adults: A Subanalysis of Week-48 Lipid Results [Presentation]. British HIV Association (BHIVA); 17-20 April, 2018; Edinburgh, UK.

35. Hagins D, Kumar P, Saag M, et al. Randomized Switch to B/F/TAF in African American Adults With HIV [Presentation]. Paper presented at: Conference on Retroviruses and Opportunistic Infections (CROI); 08-11 March, 2020; Boston, MA.

36. Hagins D, Kumar P, Saag M, et al. Week-48 Outcomes From the BRAAVE 2020 Study: a Randomized Switch to B/F/TAF in African-American Adults With HIV [Poster 1046]. Paper presented at: IDWeek Virtual; 21-25 October, 2020.

37. Mallolas J, Esposito V, Hocqueloux L, et al. Bictegravir/emtricitabine/tenofovir alafenamide (B/F/TAF) for the treatment of people living with HIV: 12-month effectiveness, persistence, and safety in a multi-country cohort study [Poster PE2/57]. Paper presented at: 18th European AIDS Conference; October 27-30, 2021; Online & London, UK.

38. Mallolas J, Esposito V, Hocqueloux L, et al. Bictegravir/emtricitabine/tenofovir alafenamide (B/F/TAF) for the treatment of people living with HIV (PLWH): 12-month effectiveness, persistence, and safety in a multi-country cohort study [Supplement]. Paper presented at: 18th European AIDS Conference; October 27-30, 2021; Online & London, UK.

39. Trottier B, Antinori A, De Wet J, et al. Bictegravir/Emtricitabine/Tenofovir Alafenamide (B/F/TAF) for the Treatment of People Living With HIV: 24-Month Analyses by Age, Race, Sex, Adherence and Late Diagnosis in a Multi-Country Cohort Study [Poster P067]. Paper presented at: HIV Glasgow 23-26 October, 2022; Glasgow, UK.

40. Trottier B, Antinori A, De Wet J, et al. Bictegravir/Emtricitabine/Tenofovir Alafenamide (B/F/TAF) for the Treatment of People Living With HIV: 24-Month Analyses by Age, Race, Sex, Adherence and Late Diagnosis in a Multi-Country Cohort Study [Poster P067 Supplementary Information]. Paper presented at: HIV Glasgow 23-26 October, 2022; Glasgow, UK.

41. Sabranski M, Vassallo M, Wet J, et al. Bictegravir/Emtricitabine/Tenofovir Alafenamide (B/F/TAF) in Antiretroviral Treatment Naïve (TN) and Experienced (TE) People With HIV (PWH): 3 Year Effectiveness and Safety Outcomes in the BICST a R Observational Cohort. [Poster eP.A.081]. Paper presented at: The 19th European AIDS Conference; October,18–21, 2023; Warsaw, Poland.

42. Wong YJ, Kumar R, Tan J, et al. Efficacy and safety of sofosbuvir/velpatasvir/voxilaprevir in NS5A-inhibitor experienced patients: an Asian multicenter international study [Poster}. Paper presented at: AASLD: The Liver Meeting; 4-8 November, 2022; Washington DC.

43. McComsey GA, P. S, Althoff KN, et al. Weight gain after switching different integrase strand transfer inhibitors (InSTIs) [Presentation]. Paper presented at: Conference on Retroviruses and Opportunistic Infections (CROI) Virtual; 06-10 March, 2021.

Abbreviations

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3TC=lamivudine
ABC=abacavir
AE=adverse event
ART=antiretroviral therapy
ARV=antiretroviral
ATV=atazanavir
ATV/r=atazanavir/ritonavir
AZT=zidovudine
BIC=bictegravir
BL=baseline
CARDIA=Coronary Artery Risk Development in Young Adults
CD4=cluster of differentiation 4
DRAE=drug-related adverse event
DTG=dolutegravir
EFV=efavirenz
EVG=elvitegravir
EVG/c=elvitegravir/
cobicistat
E/C/F/TAF=elvitegravir/
cobicistat/emtricitabine/
tenofovir alafenamide
E/C/F/TDF=elvitegravir/
cobicistat/emtricitabine/
tenofovir disoproxil fumarate
FTC=emtricitabine
INSTI=integrase strand transfer inhibitor
LSM=least squares mean
NHANES=National Health and Nutrition Examination Survey
NNRTI=non-nucleos(t)ide reverse transcriptase inhibitor

NRTI=nucleos(t)ide reverse transcriptase inhibitor
OLE=open-label extension
OR=odds ratio
PI=protease inhibitor
PWH=people with HIV
PrEP=pre-exposure prophylaxis
Q=quartile
RAL=raltegravir
RPV=rilpivirine
SBR=stay(ed) on baseline regimen
TAF=tenofovir alafenamide
TDF=tenofovir disoproxil fumarate
TE=treatment experienced
VL=viral load

 


 


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