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Record W4311732615 · doi:10.1093/ofid/ofac492.1083

1252. A Real-World Observational Study on HIV-Infected Patients who Switched from Nevirapine + 2 Nucleoside Reverse Transcriptase Inhibitors to Dolutegravir/Lamivudine in British Columbia, Canada

2022· article· en· W4311732615 on OpenAlexaffabout
Joss de Wet, Joann K. Ban, Gustavo Verdier, Juejing Ling, María Eberg, Andrean Bunko, Michael McKimm

Bibliographic record

VenueOpen Forum Infectious Diseases · 2022
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS drug development and treatment
Canadian institutionsVancouver Infectious Diseases CentreGlaxoSmithKline (Canada)University of British Columbia
Fundersnot available
KeywordsMedicineDolutegravirLamivudineDiscontinuationNevirapineObservational studyInternal medicineAdverse effectVirologyHuman immunodeficiency virus (HIV)Viral loadHepatitis B virusVirusAntiretroviral therapy

Abstract

fetched live from OpenAlex

Abstract Background Although convenient single-tablet antiretroviral regimens have been developed to treat HIV in recent years, some patients have continued to take a multi-tablet treatment, nevirapine extended-release (NVP XR) plus two nucleoside reverse transcriptase inhibitors (NRTIs) due to its excellent safety profile. This observational study examined the demographic and clinical characteristics of HIV-positive patients who switched to dolutegravir plus lamivudine (DTG/3TC) from NVP XR plus 2 NRTIs, following discontinuation of NVP XR from the Canadian market. Methods Virally suppressed (< 50 cps/mL) HIV-positive adults ≥18 years who switched from NVP XR plus 2 NRTIs to DTG/3TC between 20 August 2019 and 30 April 2020 were retrospectively identified from Electronic Medical Records housed at Spectrum Health in British Columbia, Canada. Baseline demographic and clinical characteristics were summarized using descriptive statistics at the date of first DTC/3TC prescription. Virologic control, CD4 cell count, weight-related changes and exploratory characteristics related to metabolic syndrome were summarized at baseline and at 12 ± 6-months post-switch using descriptive statistics. Reasons for treatment discontinuation were also captured. Results Sixty-nine patients were identified (mean age ± SD = 54.2 ± 8.5 years; 100% male). Mean length of use (±SD) of NVP XR was 4.6 ± 2.6 years. Sixty-three (91.3%) persisted on DTG/3TC at the 12-month timepoint post-switch with 61 (96.8%) virally suppressed < 50 cps/mL and all 63 (100%) virally suppressed < 200 cps/mL. Among persistent patients with CD4 cell counts available, mean CD4 cell count (±SD) remained stable, increasing slightly from 724.4 ± 238.4 to 740.3 ± 240.6 cells/uL. All six (8.7%) patients who discontinued DTG/3TC, discontinued due to tolerability and not effectiveness reasons. Conclusion Our findings are the first to examine real-world use of single-tablet, 2-drug DTC/3TC among patients who switched from multi-tablet, 3-drug NVP XR plus 2 NRTIs in Canada. The majority persisted on DTG/3TC and remained virally suppressed at the < 50 cps/mL level 12-months post-switch. This, coupled with excellent tolerability, demonstrates the effectiveness of DTG/3TC in maintaining viral suppression among a unique and stable group of older men. Disclosures Joss de Wet, MBChB CCFP FCFP, Gilead: Advisor/Consultant|Gilead: Board Member|Gilead: Grant/Research Support|ViiV: Advisor/Consultant|ViiV: Board Member|ViiV: Grant/Research Support Joann K. Ban, PharmD, MSc, GlaxoSmithKline Canada Inc.: Employee Gustavo Verdier, BSc, BPharm, MBA, GlaxoSmithKline: Stocks/Bonds|ViiV Healthcare ULC: Salary Juejing Ling, MSc, GSK: Employee of IQVIA , a company that receives consulting fees from GSK. Andrean Bunko, MPH, GlaxoSmithKline Inc.: GSK contracted with IQVIA for this and other projects. I am acting as an author in capacity of my employment with IQVIA. Michael McKimm, BSc, ViiV Healthcare: employee.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.060
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.020
GPT teacher head0.261
Teacher spread0.241 · 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".

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Citations0
Published2022
Admission routes2
Has abstractyes

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