Therapeutic failure reported with HIV long-acting injectables: An analysis of the FDA Adverse Event Reporting System from 2021 to 2024

Objectives: We examined adverse event (AE) reports relating to cabotegravir/ rilpivirine (CAB/RPV) in the US FDA Adverse Event Reporting System (FAERS), focusing on therapeutic failure (TF) and non-therapeutic failure (NTF) outcomes. Methods: FAERS is a database of AE and medication error reports from post-marketing surveillance. The study was granted exempt approval by the Binghamton University Institutional Review Board. We queried reports for CAB/RPV in the FAERS system from 1 January 2021 to 31 March 2024. TFs were defined as involving any of the following terms: viral load increased, virological failure, pathogen resistance, blood HIV RNA increased, treatment failure, drug ineffective, viral mutation identified, viraemia, and therapy non-responder. The top 20 most common AEs were also identified. Means, standard deviations, and percentages were used to characterize the sample. Results: The study cohort consisted of 2605 reports. The reported sex of the study cohort was 50% male (n = 1295), 19% female (n = 505), and 31% unspecified (n = 805), with a mean ± standard deviation (SD) age of 46.9± 12.4 years (n = 378). The top three most reported AEs were TFs, product dose omissions, and injection site pain, with 377 (14.5%), 354 (13.6%), and 331 (12.7%) cases, respectively. The mean ± SD weight of people with a report of TF versus NTF was 101.8 ± 33.4 kg and 87.7 ± 26.7 kg, respectively (p = 0.0175). Conclusion: Our findings suggest that healthcare professionals should have a heightened awareness of potential challenges with CAB/RPV administration, including TFs and dose omissions in real-world settings.

Publication Details

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The Open Repository - Binghamton (Binghamton University)
Published
2024-09-05
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1
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Geological Modeling and Analysis
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article
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0.35
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article

Therapeutic failure reported with HIV long-acting injectables: An analysis of the FDA Adverse Event Reporting System from 2021 to 2024

1 citations
The Open Repository - Binghamton (Binghamton University)
Geological Modeling and Analysis
0.35
article

Therapeutic failure reported with HIV long-acting injectables: An analysis of the FDA Adverse Event Reporting System from 2021 to 2024

article en
1 citations

Abstract

Objectives: We examined adverse event (AE) reports relating to cabotegravir/ rilpivirine (CAB/RPV) in the US FDA Adverse Event Reporting System (FAERS), focusing on therapeutic failure (TF) and non-therapeutic failure (NTF) outcomes. Methods: FAERS is a database of AE and medication error reports from post-marketing surveillance. The study was granted exempt approval by the Binghamton University Institutional Review Board. We queried reports for CAB/RPV in the FAERS system from 1 January 2021 to 31 March 2024. TFs were defined as involving any of the following terms: viral load increased, virological failure, pathogen resistance, blood HIV RNA increased, treatment failure, drug ineffective, viral mutation identified, viraemia, and therapy non-responder. The top 20 most common AEs were also identified. Means, standard deviations, and percentages were used to characterize the sample. Results: The study cohort consisted of 2605 reports. The reported sex of the study cohort was 50% male (n = 1295), 19% female (n = 505), and 31% unspecified (n = 805), with a mean ± standard deviation (SD) age of 46.9± 12.4 years (n = 378). The top three most reported AEs were TFs, product dose omissions, and injection site pain, with 377 (14.5%), 354 (13.6%), and 331 (12.7%) cases, respectively. The mean ± SD weight of people with a report of TF versus NTF was 101.8 ± 33.4 kg and 87.7 ± 26.7 kg, respectively (p = 0.0175). Conclusion: Our findings suggest that healthcare professionals should have a heightened awareness of potential challenges with CAB/RPV administration, including TFs and dose omissions in real-world settings.

The Open Repository - Binghamton (Binghamton University)
Good health and well-being
Openalex Percentile: Top 33%
Geological Modeling and Analysis
0.35
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