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Ankle-Brachial Index for Risk Stratification in Patients With Symptomatic Peripheral Artery Disease With and Without Prior Lower Extremity Revascularization: Observations From the EUCLID Trial

2021· article· en· W3182093758 on OpenAlexaff
William R. Hiatt, Connie N. Hess, Marc P. Bonaca, Sarah Kavanagh, Manesh R. Patel, Iris Baumgärtner, Jeffrey S. Berger, Juuso Blomster, W. Schuyler Jones, Brian G. Katona, Kenneth W. Mahaffey, Lars Norgren, Frank W. Rockhold, F. Gerry R. Fowkes

Bibliographic record

VenueCirculation Cardiovascular Interventions · 2021
Typearticle
Languageen
FieldMedicine
TopicPeripheral Artery Disease Management
Canadian institutionsCentre for Global Health Research
Fundersnot available
KeywordsMedicinePeripheralRevascularizationArterial diseaseAnkleBrachial arteryCardiologyStratification (seeds)Risk stratificationInternal medicineIndex (typography)Vascular diseaseSurgeryMyocardial infarctionComputer science

Abstract

fetched live from OpenAlex

Background: A reduced ankle-brachial index (ABI) is a measure of atherosclerosis and is associated with ischemic risk in the general population. Whether this relationship is maintained in peripheral artery disease after lower extremity revascularization (LER), which can modify ABI, is unknown. Methods: The EUCLID (Examining Use of Ticagrelor in Peripheral Artery Disease) enrolled 13 885 patients with symptomatic peripheral artery disease; 57% with prior LER, and 43% with ABI ≤0.80. The primary major adverse cardiovascular events (MACE) outcome was a composite of cardiovascular death, myocardial infarction, or ischemic stroke. Major adverse limb events (MALE) included acute limb ischemia and major amputation. An adjusted Cox proportional hazards model demonstrated a nonlinear relationship between ABI and outcomes. A restricted cubic spline model with 4 knots was developed to identify the best fitting model to describe the relationship between ABI and MACE and MALE risk. Results: Baseline ABI (mean±SD) was 0.77±0.21 in participants with prior LER and 0.63±0.14 in those without prior LER ( P <0.0001). There was no statistical interaction between prior LER and ABI, meaning the shapes of the cubic spline models were similar between groups. In those with prior LER, for every 0.10 unit lower ABI below an ABI of 1.00, the hazard ratio for MACE was 1.08 (95% CI, 1.04–1.12; P <0.0001), below an ABI of 0.80 the hazard ratio for MALE was 1.32 (95% CI, 1.21–1.43; P <0.0001). In patients without prior LER, every 0.10 unit lower ABI below an ABI of 0.70 was associated with increased risk for MACE (hazard ratio, 1.14 [95% CI, 1.06–1.23]; P =0.0004) and MALE (hazard ratio, 1.27 [95% CI, 1.08–1.49]; P =0.003). Conclusions: Patients with established peripheral artery disease, particularly those with prior LER, have an increased risk of MACE and MALE. The ABI remains a strong predictor of MACE and MALE ischemic events with an inverse relationship below an ABI threshold for patients with and without prior LER. Registration: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT01732822.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.124
Threshold uncertainty score0.771

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.027
GPT teacher head0.256
Teacher spread0.228 · 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 teacher head, 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

Citations6
Published2021
Admission routes1
Has abstractyes

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