A Narrative Review of Novel Agents for Managing Heavily Treatment-Experienced People Living With HIV.
Christina BeranJoan M DugganEric G SahloffPublished in: The Journal of pharmacy technology : jPT : official publication of the Association of Pharmacy Technicians (2024)
Objective: The objective of this review is to compare ibalizumab, fostemsavir, and lenacapavir, present the clinical trials evaluating each agent, and provide guidance on their use in highly-treatment experienced (HTE) population living with HIV (PWH). Data sources: A search of PubMed and clinicaltrials.gov was conducted using the search terms: ibalizumab, fostemsavir, and lenacapavir. Study selection and data extraction: English-language, clinical publications were included. Data synthesis: Ibalizumab, fostemsavir, and lenacapavir, are each first-in-class agents, that have major differences in mechanism of action, route and frequency of administration, pharmacokinetic parameters, including elimination half-life, potential for drug-drug interactions, safety profiles, and cost. Each has been shown, when combined with an optimized background regimen (OBR) with at least one other active agent, to achieve virologic suppression in HTE-PWH. Conclusion: In HTE-patients, adding ibalizumab, fostemsavir, and/or lenacapavir to at least one other active agent can lead to virologic suppression in this difficult to treat population. Monotherapy with any of these agents is not recommended and will lead to a high likelihood of drug resistance. Selection of which agent(s) to include with an OBR will depend on other patient factors including concomitant medications, acceptance of formulations (oral vs. subcutaneous vs. intravenous infusion), and potential access (both insurance-based and transportation). Adherence to all agents in the regimen is paramount to successful outcomes.
Keyphrases
- clinical trial
- electronic health record
- end stage renal disease
- big data
- combination therapy
- chronic kidney disease
- ejection fraction
- low dose
- emergency department
- hiv infected
- type diabetes
- autism spectrum disorder
- healthcare
- machine learning
- prognostic factors
- adipose tissue
- human health
- replacement therapy
- drinking water
- health insurance
- insulin resistance
- artificial intelligence
- glycemic control
- smoking cessation