Abstract
Cabotegravir plus rilpivirine long-acting (CAB + RPV-LA) injectable therapy marks a major milestone in HIV care, offering an efficacious, well-tolerated alternative to daily oral antiretroviral treatment. This article reviews data from pivotal trials and observational studies of CAB + RPV-LA, addressing emerging questions and highlighting key research priorities. We examine factors influencing virological outcomes, including issues related to HIV subtype, archived drug resistance, body mass index, and pharmacokinetics, and discuss challenges related to hepatitis B virus immunity and infection, pregnancy, and adherence. We outline strategies to address barriers to implementation, advocating for a tailored approach to maximize the potential of CAB + RPV-LA in improving outcomes across diverse populations with HIV.
Keywords: HBV, long-acting, pharmacokinetics, resistance, subtype
This review examines trial and real-world data on CAB + RPV-LA, addressing virological outcomes in relation to HIV subtype, archived resistance, body mass index, and pharmacokinetics. We discuss challenges including hepatitis B, pregnancy, and adherence, highlight research priorities, and propose strategies for tailored implementation.
Cabotegravir plus rilpivirine long-acting (CAB + RPV-LA) injectable therapy offers an effective and well-tolerated alternative to daily oral treatment [1–3]. it is currently licensed for stably treated adults with virological suppression (HIV RNA <50 copies/mL), no history of virological failure with nonnucleoside reverse transcriptase inhibitors (NNRTIs) or integrase strand-transfer inhibitors (INSTIs), and no NNRTI or INSTI resistance. Guidelines differ regarding the definition of stable antiretroviral therapy (ART), commonly suggesting a period of at least 3–6 months [4–7].
The original registrational trials demonstrated the safety and efficacy of CAB + RPV-LA dosed intramuscularly every 4 weeks (Q4W) for up to 96 weeks (Antiretroviral Therapy as Lond Acting Suppression [ATLAS])), Q4W for up to 124 weeks (First Long-Acting Injectable Regimen [FLAIR]), and Q4W or every 8 weeks (Q8W) for up to 152 weeks (ATLAS-2M) [1–3]. The trials recorded a total of 23 instances of confirmed virological failure ([CVF] confirmed HIV RNA ≥200 copies/mL) among 1651 individuals (1.4%) [8]. Multivariable analysis of these events highlighted several factors associated with CVF: historical RPV resistance-associated mutations (RAMs), HIV-1 subtype A6/A1, an elevated body mass index (BMI), and lower model-predicted CAB and/or RPV trough concentrations (Ctrough), with cumulative effects of combining ≥2 factors (Figure 1) [8 (including Supplementary data)]. Illustrating the impact of baseline predictive factors in the registrational trials, the Switch Onto Long-Acting Regimen (SOLAR) trial recorded fewer CVFs (3/454, 0.7%) among participants receiving CAB + RPV-LA Q8W over 48 weeks [9]. Individuals with CVF generally lacked archived RPV RAMs and had subtypes other than A6/A1. One had a BMI ≥30 kg/m2, but CAB/RPV concentrations at the time of virological rebound were considered appropriate.
Figure 1.
Cases of confirmed virological failure among FLAIR, ATLAS, and ATLAS-2M trial participants according to the presence of baseline and post-baseline factors. The figure was compiled from data published by Orkin et al in reference 8, including the Supplementary material. Abbreviations: BL, baseline; BMI, body mass index; CAB, cabotegravir; Ctrough, trough plasma concentration; CVF, confirmed virologic failure; RAM, resistance-associated mutation; RPV, rilpivirine.
To support clinicians in navigating this novel treatment paradigm, we synthesize data from pivotal trials and observational studies of CAB + RPV-LA, examining factors that influence virological outcomes and outlining research priorities. Additionally, we discuss key implementation challenges, including hepatitis B virus (HBV), pregnancy, and incomplete adherence, proposing practical strategies to optimize use across diverse populations.
FACTORS INFLUENCING VIROLOGICAL OUTCOMES
HIV Subtype
Among 1431 participants with complete subtype data in the CAB + RPV-LA registrational trials, subtype A6 was relatively common (n = 180 [13%]), whereas subtype A1 was rare (n = 19 [1%]) [1–3, 8 (including Supplementary data)]. Among 23 recorded CVFs, 11 were in subtype A6 (11/180, 6.1%) and 2 in subtype A1. The multivariable analysis combined the 2 subtypes into the unified variable “A6/A1” [8], and this terminology was reflected in the label. Given the limited number of trial participants with subtype A1, a key question was whether CVF risk should be associated with this subtype. The randomized Cabotegravir and Rilpivirine Efficacy and Safety (CARES) trial of CAB + RPV-LA implementation in 3 African countries recently provided reassurance [10, 11]. Based mainly on reverse transcriptase sequences, purely subtype A1 (ie, excluding 12 mixed subtypes) was found in 101/213 (47%) participants of the CAB + RPV-LA arm [10 (including Supplementary data)]. At week 48, the efficacy of CAB + RPV-LA in maintaining virological suppression was 246/255 (96%) and comparable to that of oral ART (250/257 [97%]). Virological suppression was sustained through week 96 (247/255 [97%] on CAB + RPV-LA vs 250/257 [97%] on oral ART); among 4 CVFs in the CAB + RPV-LA arm, 2 were in subtype A1 [11].
The genetic mechanisms linking subtype A6 to CVF remain poorly understood. Subtype A6 likely evolved from A1 in Central Africa, diverging genetically while spreading to countries of the former Soviet Union, where A6 is fuelling an expanding HIV epidemic [12, 13]. Distinctive mutations, including multiple integrase substitutions, differentiate A6 from A1. One distinction is the presence of isoleucine (I) instead of leucine (L) at integrase position 74. Isoleucine is the consensus amino acid in subtype A6 but occurs in only ∼10% of A1 strains [12, 14]. Located in the enzyme catalytic core domain near the active site, L74I does not reduce CAB susceptibility [15]. However, L74I enhances the replication capacity of viruses harboring major RAMs in subtype A6 integrase (G118R, G140R, Q148H, R263K) [16]. This enhancement may partly explain the association between subtype A6 and CVF, although it presumes that other factors allow virus replication to resume.
Implications for Clinical Practice
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HIV Drug Resistance
Although individuals with known NNRTI/INSTI resistance were excluded from the CAB + RPV-LA registrational trials, retrospective analyses found preexisting RPV RAMs (any of L100I, K101E/P, E138A/G/K/Q/R, V179L, Y181C/I/V, Y188L, H221Y, F227C, M230I/L) in 56 participants, 8 of whom (14%) experienced CVF [8 (including Supplementary data)]. In ATLAS and ATLAS-2M, historical RAMs were analyzed in HIV DNA sequences obtained from peripheral blood mononuclear cells, a method known as archived or proviral resistance testing [18, 19]. This method allows detection of historical RAMs when plasma HIV RNA is undetectable; however, several factors complicate interpretation (Supplementary Figure 1) [18, 19].
Archived resistance testing may both underestimate and overestimate resistance [18, 19]. Sensitivity is influenced by HIV DNA load, the circumstances of and time elapsed since the initial emergence, sample quality, and sequencing method (Sanger sequencing vs next-generation sequencing). Next-generation sequencing offers greater sensitivity, but technical artefacts may occur below a 5%–10% frequency threshold. The method may also overestimate resistance by detecting RAMs in defective proviruses incapable of producing infectious viruses. Notably, when sequencing HIV DNA, mutations may be found at drug-resistance sites that arise from the editing activity of APOBEC3 rather than antiretroviral exposure [18–20]. These host cell enzymes (primarily APOBEC3G and APOBEC3F) are incorporated into HIV virions. After virus entry and initiation of reverse transcription, they catalyze cytosine-to-uracil deamination, resulting in G-to-A mutations (GG→AG and GA→AA) in the plus-strand HIV DNA. APOBEC3 editing can be associated with several major and some minor RAMs (Box 1) [14]. However, multiple defects in hypermutated proviruses prevent the production of infectious viruses, negating clinical relevance of APOBEC3-associated RAMs [18–20].
Box 1. Common resistance-associated mutations that can occur in the context of APOBEC3-linked hypermutation. All are major mutations except G73S, G163K/R, and D232N, which are minor mutations [14].
Reverse transcriptase—NRTIs: D67N, M184I; NNRTIs: E138K, G190E, G190S, M230I
Protease—D30N, M46I, G48S, G73S
Integrase—G118R, E138K, G140S, G140R, G163K, G163R, D232N, R263K
Abbreviations: NNRTI, non-nucleoside reverse transcriptase inhibitor; NRTI, nucleos(t)ide reverse transcriptase inhibitor.
An illustration of this issue may be found in the CARES study, which recruited virologically suppressed adults without a history of virological failure [10]. Participants had frequent prior exposure to NNRTIs (74%) and INSTIs (92%). Peripheral blood mononuclear cells collected at study entry were retrospectively tested for archived resistance by Sanger sequencing. In the CAB + RPV-LA arm, the investigators initially reported detection of CAB RAMs in 15/95 (16%) samples and RPV RAMs in 25/200 (13%) samples. However, the study methodology had not included hypermutation screening. Yet, most of the reported RAMs were among those potentially linked to APOBEC3 editing, including the NNRTI RAMs E138K and M230I and the INSTI RAMs E138K, G140R/S, and R263K [10 (including Supplementary data)]. Alerted to this issue, the investigators revised the analysis to account for APOBEC3-related effects. Although more data are needed on the methodology, this reduced the number of individuals with CAB RAMs (8/99, 8%) and RPV RAMs (14/208, 7%; largely the E138A polymorphism) [11]. Among the 4 CVFs described through week 96, 2 had baseline RPV/NNRTI RAMs (E138A + K103N/S and E138K (or possibly E138A or E138G), respectively), totalling 2/14 (14%) CVFs among individuals with archived RPV RAMs [11].
Implications For Clinical Practice
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Body Mass Index
A post hoc analysis of the CAB + RPV-LA registration trials found similar safety and efficacy among participants with BMI <30 or ≥30 kg/m2 through 48 weeks [24]. In both groups, CAB and RPV Ctroughs remained above the protein-adjusted 90% inhibitory concentration (PA-IC90). Among 1245 participants, 213 (17%) had a BMI ≥30 kg/m2 (including 20 with BMI ≥40 kg/m2), of whom 72% received Q4W dosing and 28% Q8W, with limited use (15%–18%) of long (2-inch) needles. Including data beyond week 48, of 10 CVFs, 8 occurred in participants with BMI ≥30 kg/m², but all had RPV RAMs and/or subtype A6/A1 [24]. Similarly, a post hoc analysis of SOLAR found comparable 12-month CAB + RPV-LA Q8W efficacy across BMI groups [25]. Among 447 participants in the CAB + RPV-LA arm, 93 (21%) had a BMI ≥30 kg/m². Of 3 CVFs, 1 (excluded from the primary analysis) involved an individual with BMI ≥30 kg/m² (subtype C; baseline RPV RAMs unknown).
Observational studies support these findings. Maguire et al. analyzed CAB + RPV-LA efficacy in 374 virologically suppressed participants [26]. Most (68%) received Q8W dosing. There were 148 (40%) participants with BMI ≥30 kg/m2, with ∼8% receiving initial injections with long needles. Over a median follow-up of ∼36 weeks, CVF (confirmed HIV RNA ≥200 copies/mL) occurred in 3 participants, including 2 with BMI ≥30 kg/m² as the sole factor. The 2 received on-time injections (Q4W and Q8W, respectively) using 1.5-inch needles, and 1 had gluteal implants. Notably, no CVFs occurred among 34 participants with BMI ≥40 kg/m2 (40–44.9, n = 18; 45–49.9, n = 11; ≥ 50, n = 5). A last-observed HIV RNA ≥50 copies/mL occurred in 21/226 (9%) versus 18/148 (12%) participants with BMI <30 versus ≥30 kg/m2, largely as low-level viremia (50–199 copies/mL), with no association with BMI. Preliminary data from the cohorts Observational Pharmaco-Epidemiology Research & Analysis (OPERA) (n = 450/1543 [29%] with BMI ≥30 kg/m2) [27] and RELATIVITY (n = 113 with BMI >30 kg/m2) [28] confirm efficacy across BMI categories.
Implications for Clinical Practice
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Pharmacokinetics
The low number of CVFs in CAB + RPV-LA studies has hindered efforts to establish pharmacokinetic (PK)/pharmacodynamic relationships. A consensus on minimal concentration thresholds is also lacking. Various thresholds have been applied, including the PA-IC90 (CAB 166 ng/mL, RPV 12 ng/mL) [24, 29, 30] or 4× PAIC90, and those based on drug level distributions, such as the upper limit of the first quartile of the distribution of Ctroughs in the registrational trials (CAB 1120 ng/mL, RPV 32 ng/mL) [29, 31] In the trials, 14/22 (60%) participants with CVF had “low” CAB and/or RPV, ie, levels ≤1st quartile, at week 4 after first injection [8]. However, few with low Ctrough as the sole factor experienced CVF [8 (including Supplementary data)] (Figure 1).
A cohort study suggested thresholds of 664 ng/mL for CAB and 50 ng/mL for RPV, which mirror the 4x PAIC90, although these were based on limited data that did not demonstrate a clear correlation between drug concentrations and CVF [32]. In a prospective study of 173 individuals switching to CAB + RPV-LA Q8W, participants with viremia ≥50 copies/mL had lower CAB and RPV Ctroughs than those with consistent suppression [29]. However, adding PK parameters to predictive models did not improve accuracy, indicating that PK alone was not a key determinant of viraemia.
CAB and RPV Ctroughs show wide inter- and intra-individual variability [8, 29, 33]. CAB Ctroughs are initially slightly lower at higher BMI [8, 31, 34, 35]. In the registrational trials, with Q8W dosing, week 8 CAB Ctroughs were 2.0 μg/mL at BMI <30 kg/m2 and 1.1 at higher BMI, but no difference was observed from week 16 through week 48; at BMI ≥30 kg/m2, plasma concentrations increased if using 2-inch needles [24]. The trials did not detect an effect of higher BMI on RPV Ctroughs with either Q4W or Q8W dosing over 48 weeks [24]. However, cohort data suggest a possible effect with Q8W dosing [34]. The trials found no influence of BMI on week 48 CAB and RPV Ctroughs [8]. However, modelling predicts lower CAB and RPV Ctroughs at steady-state with BMI >35 kg/m2 and >40 kg/m2, respectively, particularly with Q8W dosing [36]. CAB exposure may also show minor variations by age and sex; however, post hoc analyses of the SOLAR [25] and CARISEL [37] trials demonstrated consistent efficacy of CAB + RPV-LA Q8W across age, sex, and ethnicity subgroups.
Although evidence is limited, some investigators have suggested therapeutic drug monitoring (TDM) for selected individuals, particularly for those with high BMI, populations underrepresented in clinical trials, or individuals with unexplained viremia [31, 32, 36]. One approach proposes using low Ctrough measurements to trigger intensified virological monitoring, repeat TDM, and a review of other CVF risk [31], whereas another advocates TDM in people with morbid obesity to adjust dosing intervals [36].
Implications for Clinical Practice
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Box 2. Factors complicating the use and interpretation of therapeutic drug monitoring of CAB + RPV-LA in routine practice.
Wide intra-individual variability in drug concentrations
Lack of established therapeutic thresholds
Interpretation requires specialist knowledge
-
The clinical relevance of detecting low drug concentrations remains to be demonstrated, with limited evidence on how results should guide practice,
including introducing any variations in dose or dosing intervals
Logistical challenges in sampling for Ctrough measurement
Limited test availability outside of research centers
The cost-benefit has not been established
Abbreviations: CAB, cabotegravir; Ctrough, trough plasma concentration; LA, long acting; RPV, rilpivirine.
Dosing in renal and hepatic impairment and notable drug-drug interactions are summarized in Supplementary Boxes 1 and 2.
IMPLEMENTATION CHALLENGES
Pregnancy
In the CAB + RPV-LA registration trials, fewer than one third of participants were female at birth, and those who were pregnant, breastfeeding, or planning conception were excluded [1–3]. For RPV, sufficient first-trimester exposures have been monitored to detect a ≥ 2-fold increase in birth defect risk, and no such increase has been detected [38]. Although pregnancy CAB data remain limited, no safety signals have been observed to date [38–44]. Animal studies showed no adverse effects with CAB doses ≤13 times the human exposure [39]. The HPTN-084 open-label extension study of CAB-LA for preexposure prophylaxis reported good tolerability and no adverse pregnancy outcomes among 212 pregnancies on active CAB-LA and 68 pregnancies with prior CAB-LA [42].
CAB is primarily metabolized by UGT1A1 and RPV by CYP3A4, with enzyme induction in the second and third trimesters, potentially lowering plasma concentrations [45]. PK modelling suggests CAB Q4W may maintain adequate levels throughout pregnancy, but caution is advised with CAB Q8W; with both dosing regimens, RPV levels may fall below efficacy thresholds [46]. Clinical data are limited. A retrospective case series reported high virological suppression among 18 women who started or continued CAB + RPV-LA Q4W/Q8W through pregnancy [43]. A case report (CAB + RPV-LA Q8W) showed CAB levels comparable to nonpregnant individuals but a 70%–75% reduction in RPV levels; neither virological failure nor perinatal transmission occurred [41].
Implications for Clinical Practice
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Hepatitis B Virus
An oral regimen with dual HIV/HBV activity is recommended for individuals with chronic HBV infection [4–7]. HBV acquisition in nonimmune individuals and reactivation in those with past infection are concerns when considering HBV-inactive ART.
In nonimmune individuals, responses to conventional alum-adjuvant HBV vaccines are often suboptimal, with reduced hepatitis B surface antibody (anti-HBs) seroconversion rates, anti-HBs titers, and duration of seroprotection [48]. Factors associated with poor vaccine immunogenicity include male sex, age >40 years, smoking, detectable HIV RNA, CD4 counts <350 cells/mm3, and low nadir CD4 counts [48, 49]. higher and more frequent doses [48, 50] or newer adjuvant vaccines [48, 51–54] are recommended to improve responses (Figure 2).
Figure 2.
Proposed algorithm for managing the results of HBV serological testing. Abbreviations: +ve, positive; -ve, negative; anti-HBc, hepatitis B core antibody; anti-HBe, antibody to hepatitis B e-antigen; anti-HBs, hepatitis B surface antibody; HBsAg, hepatitis B surface antigen; HBV, hepatitis B virus.
With past infection, moderate-to-low-quality evidence indicates that HBV-inactive ART carries a low (∼1.6%) risk of reactivation, identified through hepatitis B surface antigen (HBsAg) and/or HBV DNA detection using routine diagnostics [55]. Across studies, reactivations were typically less common with preswitch anti-HBs ≥10 IU/L than with anti-HBs lack or loss, and were variably associated with alanine transaminase elevations, including severe hepatic flares [55]. Reassuringly, hepatic flares typically resolved after introducing HBV-active agents, with HBsAg loss documented within 2–5 months [55].
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Implications for Clinical Practice
Testing for HBV infection and immunity is recommended when considering CAB + RPV-LA, with results necessitating appropriate follow-up and management (Figure 2). Variations in HBV testing practices before and after initiating HBV-inactive ART [55] highlight the need for standardized monitoring protocols.
Six months are typically required to complete a standard vaccination series (Supplementary Table 1), with anti-HBs measured 4–8 weeks after last dose [48]. To accelerate a switch to HBV-inactive ART, anti-HBs may be measured after ≥3 doses of alum-adjuvant vaccines or ≥2 doses of newer adjuvant vaccines [52]; if seroprotection is demonstrated, switching may proceed while continuing the vaccination series. Ultra-rapid vaccination (3 doses of an alum-adjuvant vaccine over 3 weeks) may be considered in individuals with CD4 counts >500 cells/mm3, preferably without risk factors for nonresponse [48]. If no response is achieved by series end, further cycles can be attempted, preferring high-dose or newer adjuvant vaccines [48, 51–54]. Individuals with a previous vaccine response should be offered a booster dose [48]. A booster dose may also be considered if post-vaccination anti-HBs titers fall between 10 and 99 U/L to increase the longevity of seroprotection [48].
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Adherence Challenges
Emerging evidence suggests that injectable therapy may benefit those struggling with daily oral ART, provided appropriate support is in place (Table 1) [57–61]. Ward 86, a publicly funded HIV clinic in San Francisco, pioneered the study of CAB + RPV-LA Q4W (with an optional switch to Q8W after achieving stable virological suppression) in a viremic population with financial and housing insecurity, mental health problems, substance use disorders and suboptimal adherence, reporting overall favorable outcomes [57]. A low-barrier care model incorporating social work outreach, financial incentives, and flexible injection site options was key to supporting participants [58]. In the United States, an interim analysis of the Long-Acting Therapy to Improve Treatment Success in Daily Life (LATITUDE) trial showed greater efficacy of CAB + RPV-LA Q4W versus standard oral ART in adults with adherence challenges, adopting an approach of incentivizing the attainment of virological suppression before randomization [59]. Data from the United States and Australia demonstrated the feasibility of implementing CAB + RPV-LA Q8W in similar populations [60, 61]. These studies achieved low rates of missed injections through robust adherence support. However, the strategy is not without risks. The prolonged PK tails of CAB and RPV mean that treatment discontinuation without oral ART cover will lead to viral rebound, prolonged subtherapeutic drug levels, and drug resistance.
Table 1.
Studies Providing Proof-of-concept Evidence for CAB + RPV-LA Implementation in Populations With Psychosocial Complexity and Adherence Challenges.
| Study Country | Design Population | Regimen | Outcomes |
|---|---|---|---|
| San Francisco WARD 86 clinic [57] US | Retrospective cohort study N = 59 All HIV RNA ≥50 copies/mL (median 4.6 log10 copies/mL) 29 (49%) CD4 < 200 cells/mm3 |
CAB + RPV-LA Q4W (no OLI) with optional switch to Q8W after 3–6 m of VS Low-barrier care model with social work outreach, financial incentives, and flexibility in injection sites |
|
| LATITUDE [59] US | Phase III, multicentre, open-label randomized N = 294 All with HIV RNA >200 copies/mL No CAB/RPV RAMs |
Induction phase: Incentivized oral ART (≥2 active drugs) for ≤24 wk to reach virological milestones Randomization phase: Participants achieving HIV RNA <200 copies/mL randomized to CAB + RPV-LA Q4W (± OLI) (n = 146) versus continue oral ART (n = 148) |
|
| San Diego Owen Clinic [61] US | Retrospective cohort study N = 62 15 (24%) HIV RNA >200 copies/mL 7 (11%) HIV RNA >10 000 copies/mL Median CD4 count 497 cells/mm3 |
CAB + RPV-LA (primarily Q8W without OLI) 9 also received lenacapavir 3 also received oral agents |
|
| JABS [60] Australia |
Phase IV, single-center, open-label N = 60 with VS, no CAB + RPV RAMs No active HBV |
CAB + RPV-LA Q8W (+ OLI) Multidisciplinary support program (nurse practitioner, social worker, welfare assistant) |
|
Abbreviations: ART, antiretroviral therapy; CAB, cabotegravir; DSMB, Data Safety Monitoring Board; HBV, hepatitis B virus; JABS, Injectable Antiretroviral Therapy Feasibility Study; LA, long-acting; OLI, oral-lead-in; Q4W, every 4 weeks; Q8W, every 8 weeks; RAMs, resistance-associated mutations; RPV, rilpivirine; VS, virological suppression; VF, virological failure.
Migrating and displaced populations often face challenges in maintaining stable ART, including limited access to care, stigma, language barriers, financial and housing instability, and frequent relocations or ongoing migration. When considering CAB + RPV-LA, additional issues arise, such as incomplete HIV treatment history, high prevalence of HBV infection and tuberculosis, and potential drug–drug interactions (eg, with rifampicin). Ukrainian migrants to Poland and Germany exemplify these challenges: subtype A6 is nearly universal, RPV resistance rates are high, HBV vaccine coverage is suboptimal, and tuberculosis is prevalent [62, 63]. While delinkage from care exceeds 10% [62], ensuring treatment continuity is complicated by the variable availability of CAB + RPV-LA across Central and Eastern Europe.
Implications for Clinical Practice
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CONCLUSIONS AND FUTURE DIRECTIONS
CAB + RPV-LA represents a significant innovation in HIV treatment, with trials and observational studies demonstrating robust efficacy across diverse populations. Although clinical research gaps remain (Box 3), successful implementation relies on carefully weighing individual-specific risks and benefits, including viral, host, and PK factors. Additionally, the risk/benefit assessment should consider how switching from oral ART to injectable therapy may improve the experience of stigma and other parameters of psychosocial wellbeing [9]. A tailored approach can maximize the potential of CAB + RPV-LA to improve outcomes for people with HIV.
Box 3. Priority research areas for enhancing the clinical impact of CAB + RPV-LA.
Expand predictive models to guide individualized therapy
Develop standardized tools for archived resistance testing and establish its clinical utility
Investigate the role of therapeutic drug monitoring in enhancing safety and efficacy, especially in populations with potential pharmacokinetic challenges
Expand the evidence on alternative injection sites
Investigate rapid HBV vaccination strategies
Expand studies in key populations, including pregnant individuals, people with very high BMI, and those with past HBV, to strengthen clinical recommendations
Enhance adherence-focused interventions by integrating flexible delivery models and addressing socioeconomic barriers, exploring implementation strategies across different settings
Abbreviations: BMI, body mass index; CAB, cabotegravir; HBV, hepatitis B virus; LA, long acting; RPV, rilpivirine.
Supplementary Material
Notes
Acknowledgments. The authors thank Harun Tulunay for his valuable contributions to discussions on the topics in this manuscript in his role as a patient representative.
Author contributions. A.M.G. and C.O. chaired the meetings where the expert opinion presented in this manuscript was discussed and agreed upon. The following authors drafted individual sections according to their respective areas of expertise: A.M.G., M.B., P.G., M.P., M.M.S., C.S., and C.O. Additionally, A.G.M., S.B., P.B., C.C., F.G., T.M., K.R., and E.W. reviewed the individual sections according to respective areas of expertise. A.M.G. and C.O. performed the final revision and wrote the manuscript. All authors revised and approved the manuscript.
Financial support. The expert opinion presented in this manuscript was discussed and agreed upon during virtual and in-person meetings supported by ViiV Healthcare. The views expressed are solely those of the authors. Medical writing support, consisting of facilitation of meetings, sourcing of references, and formatting, was provided under the direction of the authors by Ellen Maxwell, PhD, of Ashfield MedComms, an Inizio Company, and funded by ViiV Healthcare.
Contributor Information
Anna Maria Geretti, Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy; Department of Infection, Royal Free London NHS Foundation Trust—North Mid, London, UK; School of Immunity & Microbial Sciences, King's College London, London, UK.
Marta Boffito, St Stephens and Department of Infectious Diseases, Chelsea and Westminster Hospital and Imperial College London, London, UK.
Stefano Bonora, Unit of Infectious Diseases, Department of Medical Sciences, University of Torino, Torino, Italy.
Patrick Braun, PZB Aachen, Laboratory Knechten, Aachen, Germany; InXFo GmbH, Hamburg, Germany.
Charlotte Charpentier, Service de Virologie, Hôpital Bichat-Claude Bernard, AP-HP, Paris, France; Université Paris Cité, INSERM UMR 1137 IAME, Paris, France.
Federico Garcia, Servicio de Microbiología Clínica, Hospital Universitario Clínico San Cecilio Granada, Spain; Ciber de Enfermedades Infecciosas, CIBERINFEC, Madrid, Spain; Instituto de Investigación Biosanitaria Ibs.GRANADA, Granada, Spain.
Jade Ghosn, Assistance Publique—Hôpitaux de Paris.Nord, Hôpital Bichat Claude Bernard, Service des Maladies Infectieuses et Tropicales, Paris, France; Université paris Cité, INSERM UMR 1137 IAME, Faculté de Médecine site Bichat, Paris, France.
Perpetua Gomes, Laboratório de Biologia Molecular (LMCBM, SPC, HEM, ULS-LO) Lisboa, Portugal; Egas Moniz Center for Interdisciplinary Research (CiiEM), Egas Moniz School of Health & Science, Caparica, Almada, Portugal.
Anne-Geneviève Marcelin, Sorbonne Université, INSERM, UMR_S 1136 Pierre Louis Institute of Epidemiology and Public Health, AP-HP, Hôpital Pitié Salpêtrière, Laboratoire de Virologie, Paris, France.
Thibault Mesplède, Viroscience Department, Erasmus University Medical Center, Rotterdam, The Netherlands.
Milosz Parczewski, Department of Infectious, Tropical Diseases and Immune Deficiency, Pomeranian Medical University in Szczecin, Szczecin, Poland.
Kyle Ring, SHARE Collaborative, Blizard Institute, Queen Mary University of London, London, UK; Department of Sexual Health, Barts Health NHS Trust, London, UK.
Maria Mercedes Santoro, Department of Experimental Medicine, University of Rome Tor Vergata, Rome, Italy.
Caroline Solas, Laboratoire de Pharmacocinétique et Toxicologie, AP-HM, Hôpital La Timone, Marseille, France; Unité des Virus Émergents (UVE: Aix-Marseille Univ, Università di Corsica, IRD 190, Inserm 1207, IRBA), Marseille, France.
Eva Wolf, Clinical Research, MUC Research GmbH, Eurofins, Munich, Germany; Clinical Research, MVZ München am Goetheplatz, Munich, Germany.
Chloe Orkin, SHARE Collaborative, Blizard Institute, Queen Mary University of London, London, UK; Department of Sexual Health, Barts Health NHS Trust, London, UK.
Supplementary Data
Supplementary materials are available at Open Forum Infectious Diseases online. consisting of data provided by the authors to benefit the reader, the posted materials are not copyedited and are the sole responsibility of the authors, so questions or comments should be addressed to the corresponding author.
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