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Record W3000175997 · doi:10.1093/ehjci/jez319.665

1161 Baseline echocardiographic parameters associated with reintervention in children with aortic valve stenosis following balloon aortic valvuloplasty

2020· article· en· W3000175997 on OpenAlexaff
Koyelle Papneja, Zachary Blatman, Ian Kawpeng, Jacqueline Wheatley, Hanne Oscé, B Li, Cedric Manlhiot, Chun‐Po Steve Fan, Myriam Lafrenière‐Roula, Lee Benson, Luc Mertens

Bibliographic record

VenueEuropean Heart Journal - Cardiovascular Imaging · 2020
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineAortic valvuloplastyStenosisCardiologyInternal medicineBicuspid aortic valveBicuspid valveBalloonAortic valveAortic valve stenosisVentricular outflow tractSurgery

Abstract

fetched live from OpenAlex

Abstract Introduction Aortic valve (AV) stenosis is the most common type of congenital left ventricular outflow tract obstruction. Short-term outcomes following balloon aortic valvuloplasty (BAV) including residual aortic stenosis, aortic insufficiency, and procedural complications have been established. The impact of pre-intervention AV characteristics on long-term outcomes has not been well studied. Purpose The aim of this study was to determine the relationship between the initial parameters on baseline echocardiogram and the time to reintervention in children with AV stenosis following BAV. Methods Children from the newborn period to 18 years of age with AV stenosis who underwent BAV from 2004-2012 were included. Patients with aortic insufficiency prior to BAV, complex congenital heart lesions, or less than two accessible follow-up echocardiograms were excluded. Baseline and serial echocardiographic data pertaining to aortic valve and LV size and function was retrospectively collected until December 2017 or until the first reintervention. Time to reintervention or death was evaluated. Results Among the 98 enrolled patients, the median [IQR] age at BAV was 2.8 months [0.2-75]. The median [IQR] duration of follow-up was 6.8 [1.9-9.0] years. Eighty-nine (83%) patients had bicuspid valve morphology and the median [IQR] peak-to-peak catheterization gradient prior to BAV was 49 [34-65] mmHg. The cumulative proportion [95% CI] of reintervention at 5 years following BAV was 33.7% [23.6%, 42.4%]. Primary indications for reintervention were aortic stenosis (57%), aortic insufficiency (14%), or mixed valve disease (30%). Reinterventions included repeat BAV (49%), AV repair (15%), and AV replacement (36%). Increased LVEF at baseline as well as increased mean LV circumferential strain at baseline were associated with decreased risk of reintervention (HR [95% CI] (1 unit increments): 0.974 [0.959-0.989], p < 0.001; 0.939 [0.884-0.997], p = 0.041 respectively). Increased AV annulus z-score was also associated with decreased risk of reintervention (HR [95% CI] (1 unit increments): 0.806 [0.698-0.93], p = 0.003). Conclusions Our results demonstrate that better left ventricular function at baseline, measured by LVEF and mean LV circumferential strain, is associated with a decreased risk of reintervention in neonates and children following BAV. We have also shown that a bigger AV annulus prior to BAV is associated with a decreased risk of reintervention.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.009
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.017
GPT teacher head0.268
Teacher spread0.251 · 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.

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
Published2020
Admission routes1
Has abstractyes

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