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Record W2584779829 · doi:10.1055/s-0037-1599013

Optical Coherence Tomography (OCT) Detects Early Coronary Changes Related to Cardiac Allograft Vasculopathy in Pediatric Transplant Recipients: Results from a Multicenter Study Group

2017· article· en· W2584779829 on OpenAlexaff
Stephan Schubert, M. Hosking, Enrique Balbacid, Felix Berger, Christine Voss, N. Lee, Kevin C. Harris

Bibliographic record

VenueThe Thoracic and Cardiovascular Surgeon · 2017
Typearticle
Languageen
FieldMedicine
TopicTransplantation: Methods and Outcomes
Canadian institutionsBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsCardiac allograft vasculopathyMedicineCardiologyInternal medicineOptical coherence tomographyCoronary angiographyHeart transplantationHeart failureRadiologyMyocardial infarction

Abstract

fetched live from OpenAlex

All articles of this category Background: Cardiac allograft vasculopathy (CAV) is a common cause of graft failure and mortality in pediatric heart transplant (HTx) recipients. CAV is diagnosed by coronary angiography which is unable to detect early changes that do not cause luminal narrowing. Hypothesis: (1) Optical coherence tomography (OCT) can detect angiographically-silent coronary changes; (2) OCT might detect early CAV and may be used for therapeutic interventions and follow-up CAV. Methods: The International Pediatric multicenter OCT registry includes 75 HTx recipients (age at Tx 4.6 ± 4.3 years) from three centers in Canada and Europe. Patients underwent ≥1 assessment of ≥1 coronary artery using OCT-system (Dragonfly, St Jude Medical) during routine cardiac catheterization and data from ≥10 cross-sectional images ≥1 mm apart; we identified the maximal intimal thickness at each vessel. CAV was classified by angiography according to the ISHLT criteria with investigators blinded to OCT findings. We used multi-level regression to assess between-group differences. CAV was defined as Intima-media thickness >0.2 mm. Results: We included 93 OCT-runs from 75 patients (mean age 11.8 ± 4.0 years at OCT; 54% male). In newly diagnosed CAV (all grade 1), maximal intimal thickness was significantly greater (median 0.31 mm; IQR 0.22–0.56) compared with those without CAV (0.18 mm; 0.12–0.23; p < 0.001). In 12/75 patients, a change in medical treatment was made after first OCT and 10/12 patients were angiographically silent. Intimal thickness was greater in cases where medical management was changed compared with those where it was not changed (0.29 mm; 0.18–0.38 vs. 0.18 mm; 0.12–0.22; p < 0.001). Serial assessments were done in 17/75 patients (time between OCT assessments 1.6 ± 0.6 years). Intimal thickness did not change significantly over time in those with or without CAV. One patient was diagnosed with CAV at the second OCT and had angiographically-silent severe intimal thickening at first OCT (0.43 mm). Conclusion: OCT can detect changes in intimal thicknesses that are angiographically silent. Children with a new diagnosis of CAV have more pronounced intimal thickening than those without CAV. These findings suggest that OCT findings may be useful in evaluating for CAV after heart transplantation.

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)0.002
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 score0.002
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.290
Teacher spread0.268 · 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
Published2017
Admission routes1
Has abstractyes

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