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Abstract 11768: Role of Endothelial Shear Stress and Endothelial Shear Stress Gradient in Plaques Associated With Acute Erosion vs. Stable Control Plaques and Relationship Between Plaque Slope and Localization of Plaque Erosion

2021· article· en· W3216462419 on OpenAlexaff
Diaa Hakim, Ahmet U. Coskun, Charles Maynard, Zhongyue Pu, Deborah D. Rupert, Nicholas Cefalo, Tej Sheth, Natalia Pinilla‐Echeverri, Kajander A Olli, Gerasimos Siasos, Michail I. Papafaklis, Stefanu Kostas, Lampros K. Michalis, Kevin Croce, Peter H. Stone

Bibliographic record

VenueCirculation · 2021
Typearticle
Languageen
FieldMedicine
TopicCoronary Interventions and Diagnostics
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineShear stressGerontology

Abstract

fetched live from OpenAlex

Introduction: The role of endothelial shear stress (ESS) in the development of coronary plaque erosion is unknown. High ESS gradient (ESSG) has been hypothesized to promote plaque erosion, but no studies have included matched control stable plaques with the same minimal and reference lumen area (MLA, RLA, respectively). No studies examined the location of plaque erosion (proximal vs distal to MLA of the culprit plaque) related to the max magnitude of upslope vs downslope of the lumen obstruction. Aims: (1) to compare ESSG between plaques with erosion and similar control plaques that remained stable; (2) among erosion plaques, to study the effect of max slope steepness (Δ lumen area/frame) up- and down-stream from the culprit plaque MLA on thrombus location. Methods: We studied 46 patients from TOTAL and COMPLETE trials who underwent angiography and OCT imaging: 46 arteries: 27 LAD, 6 LCX, 13 RCA. Plaques were divided into Plaque Erosion (n=24) with OCT features of erosion before PCI (17 definite, 7 probable erosion) and matched coronary plaques from separate control patients (n=22) without plaque disruption. Orthogonal angiographic views were used to generate a 3-D arterial reconstruction, and angio centerline was combined with OCT centerline. Local ESS distribution was assessed by computational fluid dynamics and reported in consecutive 3-mm segments. Among the plaque erosions, we calculated the up- and down-slope (Δ lumen area/frame) of lumen obstruction for each culprit plaque. Results: See Table Conclusion: In plaques with similarly severe obstruction, plaque erosion is associated with higher max ESS and max ESSG vs plaques that remain stable. Proximal plaque erosion/thrombus is associated with steeper plaque upslope vs downslope, and distal plaque erosion/thrombus is associated with steeper plaque downslope vs upslope. Absolute ESSG is higher in downslope vs upslope erosions. These features may help prognosticate individual plaques at risk for future erosion.

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)0.001
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 score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.017
GPT teacher head0.255
Teacher spread0.239 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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