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Abstract 4367796: Walking Impairment Questionnaire score declines after lower extremity revascularization are linked to adverse cardiovascular events and rivaroxaban dose not affect walking ability

2025· article· en· W4415792742 on OpenAlexaff
Byung Gyu Kim, Manesh R. Patel, E. Sebastian Debus, Mark Nehler, Sonia S. Anand, Connie Hess, Eva Muehlhofer, Lloyd Haskell, Scott D. Berkowitz, Rupert Bauersachs, Marc P. Bonaca

Bibliographic record

VenueCirculation · 2025
Typearticle
Languageen
FieldMedicine
TopicPeripheral Artery Disease Management
Canadian institutionsMcMaster University
Fundersnot available
KeywordsAdverse effectRivaroxabanRevascularizationPlaceboClinical trialAmputationArterial diseaseStroke (engine)

Abstract

fetched live from OpenAlex

Backgrounds: The Walking Impairment Questionnaire (WIQ) is a validated tool for assessing patient reported outcomes related to walking in patients with peripheral artery disease (PAD). The clinical outcomes associated with WIQ changes after successful lower extremity revascularization (LER) over time are not well described. Research Questions: We aimed to evaluate the outcomes associated with change in WIQ score after LER and whether WIQ was effected by rivaroxaban. Methods: This study was conducted on 4,448 participants of the VOYAGER PAD trial who had WIQ data available at both 1 and 12 months. Individuals who experienced unplanned LER, major amputation, or acute limb ischemia (ALI) during this period were excluded. The difference in total WIQ scores between the 1- and 12-month time points was calculated, and the degree of change was classified into 5 categories using 5-point increments. Total events of the primary efficacy outcome—a composite of ALI, major amputation for vascular causes, myocardial infarction, ischemic stroke, or cardiovascular death—occurring beyond 12 months were evaluated across categories of total WIQ score changes. The change in WIQ scores was compared between the rivaroxaban and placebo groups. Results: After LER, 13.5% exhibited total WIQ score worsening more than 10 points during the 12-month follow-up period, while 16.9% showed an improvement of ≥10 points (Figure 1). Patients who experienced ≥10 points decline in the total WIQ score between 1 and 12 months had a higher rate of primary efficacy outcome (hazard ratio [HR]: 1.95 [1.37–2.77]), major adverse cardiovascular events (HR: 1.57 [1.08–2.28]), major adverse limb events (HR: 3.74 [1.64–8.50]), unplanned revascularization (HR: 2.78 [1.84–4.18]), and coronary artery disease(CAD)/PAD hospitalization (HR: 1.99 [1.58–2.51]) compared with those who improved WIQ score (Figure 2). The independent factors associated with a decline of ≥10 points in WIQ score included older age, current smoking, symptomatic CAD, and endovascular treatment. There was no difference in WIQ score changes between rivaroxaban and placebo groups (Figure 2). Conclusion: In this post-hoc analysis of VOYAGER PAD trial, patients who experienced ≥10 points decline in total WIQ score over the 12-month follow-up after LER were at a greater risk of adverse cardiovascular and limb events compared with those who improved WIQ score. There was no association between treatment with rivaroxaban and WIQ score changes.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.014
GPT teacher head0.266
Teacher spread0.252 · 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
Published2025
Admission routes1
Has abstractyes

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