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Record W4413109677 · doi:10.1093/jac/dkaf281

A multicentre real-life prospective cohort study on effectiveness, durability and safety of long-acting injectable cabotegravir and rilpivirine in northern Italy: the LONGITUDE study

2025· article· en· W4413109677 on OpenAlexaff
Maria Mazzitelli, Claudia Cozzolino, Dina Yaacoub, Angela Pieri, Elke Erne, Cinzia Puzzolante, Beatrice Fontana, Maddalena Giglia, Maddalena Cordioli, Chiara Zanchi, Giada Fasani, Emanuela Lattuada, Giuliana Battagin, Stefano Nicolè, Marina Malena, Maria Cristina Rossi, Daniela Piacentini, Francesca Raumer, Vincenzo Scaglione, Massimiliano Lanzafame, Leonardo Calza, Cristina Mussini, Anna Maria Cattelan, Vincenzo Baldo, Lolita Sasset, Davide Leoni, Samuele Gardin, Anna Ferrari, M. Luciano, Leonardo Calza, Domenico Marzolla, Alberto Zuppiroli, Silvia Cretella, Renzo Scaggiante, Cristina Putaggio, F Romani, A Tili, Maria Teresa Giordani, Vinicio Manfrin

Bibliographic record

VenueJournal of Antimicrobial Chemotherapy · 2025
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS drug development and treatment
Canadian institutionsBell (Canada)
Fundersnot available
KeywordsRilpivirineDiscontinuationRegimenMedicineInternal medicineProspective cohort studyDolutegravirProportional hazards modelAdverse effectViral loadSurgeryHuman immunodeficiency virus (HIV)Antiretroviral therapyVirology

Abstract

fetched live from OpenAlex

OBJECTIVES: We herein present a prospective multicentre experience of long-acting injectable (LAI) cabotegravir/rilpivirine from 11 different HIV clinics in northern Italy, focusing on the regimen's effectiveness, durability and safety in a real-life setting. METHODS: We included all people who received at least one dose of LAI cabotegravir/rilpivirine, recording clinical data, and assessing factors associated with treatment discontinuation (TD) for any cause. Kaplan-Meier curves were used to estimate the probability of TD, and Cox regression models identified significant predictors of TD. A sub-analysis was conducted focusing on TD due to virological failure (VF, defined as two consecutive HIV-RNA values >200 copies/mL or a single value over 200 copies/mL leading to treatment withdrawal). RESULTS: We included 483 participants (81.6% males) with a median age of 49 (IQR: 40-58) years. In 74.1% of participants, the LA regimen was started by choice, with 51.8% coming from a dual oral antiretroviral regimen. During a median follow-up time of 22 (IQR: 13-26) months, 54 (11.1%) participants had TD (incidence = 0.627 per 100 person-months of follow-up), mostly due to side effects (31, 6.4%) but with 7 (1.4%) due to VF [with people reporting major integrase strand transfer inhibitor (INSTI) and NNRTI resistance mutations in 71.4% cases]. When multivariable analysis was performed, age, years with HIV, CD4/CD8 ratio and BMI were significantly associated with TD. Also, we detected that the number of previous antiretroviral regimens was significantly associated with VF. CONCLUSIONS: Despite the overall effectiveness, TD was observed in a specific subset of people, primarily due to side effects, with a smaller proportion experiencing VF. Factors associated with both TD and VF underscore the importance of personalized selection to optimize LAI cabotegravir/rilpivirine outcomes and to improve regimen persistence.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.278
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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