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Abstract 15148: How Reassuring is an Initial Echocardiogram With Normal Coronary Arteries for Patients Presenting With Acute Kawasaki Disease?

2023· article· en· W4389956833 on OpenAlexaff
Michael Khoury, Jennifer A. Nelson, Simon Lee, Michael A. Portman, Angela Yetman, Nagib Dahdah, Nilanjana Misra, Todd Nowlen, Pei‐Ni Jone, Marianna Fabi, Seda Tierney, Elisa Fernández-Cooke, Matthew D. Elias, Daniel Mauriello, Frédéric Dallaire, Kambiz Norozi, Paul Dancey, Pedrom Farid, Cedric Manlhiot, Brian W. McCrindle

Bibliographic record

VenueCirculation · 2023
Typearticle
Languageen
FieldMedicine
TopicKawasaki Disease and Coronary Complications
Canadian institutionsJaneway Children's Health and Rehabilitation CentreCentre Hospitalier Universitaire Sainte-JustineUniversité de SherbrookeWestern UniversityHospital for Sick ChildrenStollery Children's Hospital
Fundersnot available
KeywordsMedicineKawasaki diseaseCoronary artery diseaseCoronary arteriesCardiologyInternal medicineArtery

Abstract

fetched live from OpenAlex

Background: We sought to determine the utility of current echocardiography surveillance recommendations for coronary artery (CA) involvement for children with Kawasaki disease (KD) with normal baseline studies. Methods: The International KD Registry enrolled 1200 patients (36 sites, 7 countries) with a site diagnosis of KD from 01/2020 to 01/2023; 139 with positive/possible COVID-19 infection/exposure and 174 with no echo within 10 days of admission were excluded, leaving 887 patients for analysis of results of serial echos and associated factors. Results: An initial echo was performed within 5 days of admission for 96% and within 10 days of symptom onset for 83% of patients; the max Z score in any CA branch at initial echo was normal (Z <2) 78.9%, dilation (Z 2-<2.5) 6.6%, small aneurysm (CAA; Z 2.5-<5) 10.5%, medium CAA (Z 5-<10) 2.9% and large CAA (Z ≥10) for 1.2% of patients. Higher CA Z score/Z score category were both significantly related to greater time from symptom onset to echo (p<0.001). For those with initial normal CAs, a second echo (median of 16 days after admission) was normal for 94.2%, dilation 1.9%, small CAA 2.7%, medium CAA 0.6%, and large CAA for 0.6%. For those with 2 normal echos, a third echo (median of 44 days after admission) was normal for 97.6%, dilation 1.4%, small CAA 0.5%, and 1 patient each with medium and large CAA. Additionally, after up to 6 normal echos, 3 patients had developed small CAA, 1 medium and 1 large CAA. Overall, a total of 24 (2.8%) patients had large CAA (13 admitted >10 days after symptom onset). Of these, 10 had large CAA evident at initial echo performed at day 0-3 after admission, 9 had lesser involvement at initial echo that then progressed to large CAA, and 5 had normal initial and subsequent echos and then were noted to have large CAA at an echo performed 14, 17, 21, 23 and 53 days after admission (the patient with a large CAA first detected at 53 days had no interim echos performed since their first normal echo). Conclusions: Current recommendations for serial echo assessment are effective in detecting all patients with large CAA. For rare patients, despite a normal initial echo large CAA may nonetheless develop. Additionally, important CA involvement may be evident at presentation (often delayed presentation), precluding prevention.

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)0.003
metaresearch head score (Gemma)0.024
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 score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.031
GPT teacher head0.288
Teacher spread0.257 · 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
Published2023
Admission routes1
Has abstractyes

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