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Record W2807186689 · doi:10.1161/circ.131.suppl_2.165

Abstract 165: Coronary Artery Dilatation in Kawasaki Disease is Associated with Anatomical Coronary Dominance: An Angiography-Based Study

2015· article· en· W2807186689 on OpenAlexaff
Baher Hanna, Chantale Lapierre, Frédérick Trinh Tan, Larent Desjardins, Anne Fournier, Nagib Dahdah

Bibliographic record

VenueCirculation · 2015
Typearticle
Languageen
FieldMedicine
TopicKawasaki Disease and Coronary Complications
Canadian institutionsDesjardinsCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMedicineDominance (genetics)CardiologyCardiac catheterizationInternal medicineCoronary angiographyKawasaki diseaseAngiographyDiaphragmatic breathingCoronary artery diseaseArteryPathology

Abstract

fetched live from OpenAlex

Introduction: Coronary artery (CA) dilatation in Kawasaki disease (KD) is best determined by elevated Z-scores. Z-score equations, do not take into account anatomical CA dominance. We hypothesize that, except for CA aneurysms, CA dominance influences dilatation status in KD (Z-score > 2.5). Material and Methods: We retrospectively analyzed CA status in KD patients followed at our institution for persistent CA dilatation. All patients who had a diagnostic catheterization between 2002 and 2012 were considered. Serial echocardiographic dimensions of LCA, RCA, and LAD upon diagnosis, 1 week, 2 weeks, 4 weeks, 2 months, 3-6 months, and 9-12 months later were normalized to BSA using published CA Z-score equations. Data were contrasted with CA angiography description of CA dominance: right or left dominance was adopted when the respective CA supplies both diaphragmatic LV free wall and posterior inter ventricular septum (IVS); Co-dominance was when posterior IVS was supplied by RCA and diaphragmatic LV free wall by LCA. Results: Of 69 potential patients, 16 were excluded (9 never presented a CA dilatation and 7 had CA aneurysms). The interval between acute onset and selective CA angiography of the remaining 53 patients was 69.5±52.8months at 9.2±5.2years old. Of the latter, 20(37.7%) had LCA-dominance, 31(58.5%) RCA-dominance, and 2(3.8%) Co-dominance. Upon KD onset, the LCA-dominant subset had 14/20(70%) ipsilateral dilatation vs. 6/20(30%) contralateral dilatation. Similarly, RCA-dominant dilatation was ipsilateral in 21/31(68%) vs. 10/31(32%) contralateral dilatation (p=0.89). On late follow-up, persistent CA dilatation was similar between LCA-dominance 6/14(43%) and RCA-dominance 10/21(47%) (p=0.94). The interval between onset and normalizing CA Z-score was 1.16±1.65 vs. 2.45±3.6years in ispilateral vs. contralateral subsets (p=0.19). From the inflammatory perspective, serum albumin was significantly lower in patients with contralateral CA dilatation (p=0.02). Nevertheless, other inflammatory markers did not show a significant difference. Conclusion: Transitory CA dilatation following KD is closely related to anatomical dominance. This may be a reflection of vasodilation during immune carditis rather than coronary vasculitis.

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 score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.037
GPT teacher head0.298
Teacher spread0.261 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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