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Record W2981469315 · doi:10.1093/ofid/ofz360.392

319. SWORD 1 and 2: Switch from TDF Containing Regimen to DTG+RPV Maintains Bone Mineral Density and Decreases Bone Turnover Markers Over 148 Weeks

2019· article· en· W2981469315 on OpenAlexaff
Lesley Kahl, Grace A. McComsey, Mónica Coronado Poggio, Sergio Lupo, Joss de Wet, David A. Parks, Brian Wynne, Martin Gartland, Kostas Angelis, Alicia Aylott, Michael Cupo, Kati Vandermeulen, Jean A van Wyk, Kimberly Y. Smith

Bibliographic record

VenueOpen Forum Infectious Diseases · 2019
Typearticle
Languageen
FieldMedicine
TopicHIV-related health complications and treatments
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineBone mineralRegimenBone remodelingViral loadRandomizationUrologySurgeryInternal medicineRandomized controlled trialOsteoporosisHuman immunodeficiency virus (HIV)Virology

Abstract

fetched live from OpenAlex

Abstract Background HIV infection and antiretroviral therapy (ART), particularly tenofovir (TDF), is associated with loss of bone mineral density (BMD). The SWORD studies demonstrated noninferiority of the 2-drug regimen (2DR) dolutegravir (DTG) + rilpivirine (RPV) to continuing current triple-therapy ART (CAR) at 48 weeks and continued viral suppression on DTG+RPV through Week 148. A substudy of SWORD 1 and 2 evaluated a change in BMD by DEXA for those participants who switched from triple ART containing TDF to DTG+RPV. The primary analysis reported at 48 weeks showed a significant increase in total hip and lumbar spine BMD and a significant decrease in bone turnover markers in patients receiving DTG+RPV compared with CAR. Here we present data through Week 148. Methods HIV-infected adult patients with HIV-1 RNA < 50 c/mL received ART containing TDF for ≥6 months prior to randomization to DTG+RPV (Early Switch group, ES) or CAR on Day 1 (Baseline, BL) through Week 48 in SWORD-1/2. CAR patients suppressed at Week 48 switched to DTG+RPV at Week 52 (Late Switch group, LS). Hip and lumbar spine BMD were measured by DEXA scans read centrally. Secondary endpoints include a change in BMD and bone turnover markers through Week 148. Results Following switch to DTG+RPV significant increases were observed for total hip in the ES and LS groups through 100 weeks with a non-significant increase at Week 148 in ES (Figure 1a). Lumbar spine BMD significantly increased from BL at 48 weeks post switch, remained increased, though not significantly from BL through Week 148 (Figure 1b). The BMD of the LS group was similar to that of the ES group through 100 weeks exposure. The majority of patients remained in their pre-switch T-score category or improved a category for both hip and spine through Wk148 (Table 1). Through Wk148, BMI increased minimally and bone turnover markers significantly decreased (P < 0.001 to 0.042 across markers) from BL/LS BL except Type I Collagen C-Telopeptide at Wk148 in the LS group (P = 0.279). Conclusion Switch to the DTG+RPV 2DR was associated with sustained improvements in BMD through Week 148, along with a reduction in bone markers. The favorable effects on skeletal health were observed despite the ageing of study patients and other factors decreasing BMD. A switch to DTG+RPV in suppressed patients provides a robust option for preserving bone health while continuing suppressive HIV treatment. Disclosures All authors: No reported disclosures.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.009
GPT teacher head0.282
Teacher spread0.273 · 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
Published2019
Admission routes1
Has abstractyes

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