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Abstract 15314: Left Ventricular Dysfunction in Children and Adolescents With Arrhythmogenic Right Ventricular Cardiomyopathy

2015· article· en· W2955260134 on OpenAlexaff
Paweena Chungsomprasong, Robert M. Hamilton, Wietske I. Luining, Shi‐Joon Yoo, Meena Fatah, Cedric Manlhiot, Brian W. McCrindle, Lars Grosse‐Wortmann

Bibliographic record

VenueCirculation · 2015
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Effects of Exercise
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineCardiologyInternal medicineEjection fractionVentricleCardiomyopathyContractilityVentricular functionMagnetic resonance imagingCardiac magnetic resonanceHeart failureRadiology

Abstract

fetched live from OpenAlex

Background: Involvement of the left ventricle (LV) is increasingly recognized in adults with arrhythmogenic right ventricular cardiomyopathy (ARVC) but it is unclear whether LV function is compromised in children with this condition. The aim of this study was examine myocardial contractility in pediatric patients with suspected ARVC. Methods: For this retrospective study, patients with a work-up for ARVC were classified into ‘no’, ‘possible’, ‘borderline’ or ‘definite’ ARVC according to the revised Task Force Criteria (rTFC). Ventricular size and function as well as LV myocardial strain and torsion were measured by cardiac magnetic resonance (CMR). Results: A total of 142 patients were enrolled, of whom 58 (41%) had no, 32 (23%) possible, 29 (20%) borderline and 23 (16%) definite ARVC. The groups were similar in age at CMR. With higher rTFC score, z scores (Z) of right ventricular (RV) ejection fraction (EF) were lower (p<0.001) while z-RV end diastolic volume (EDV) and z-LV EDV were larger (p=0.002 and 0.013, respectively). LV EF did not differ between rTFC categories. Global circumferential strain (GCS) of the LV was lower in patients in higher rTFC categories (p=0.018). Z-LVEDV correlated with z-RVEDV (r2 = 0.69, p<0.001) and z- LVEF correlated with z-RVEF (r2 = 0.55, p <0.001). Z-LVEF and z-RVEF correlated with LV GCS (r2 = 0.48, p<0.001 and r2 = 0.46, p<0.001, respectively) and torsion (r2 = 0.21, p=0.032 for both). Forty-two patients had a follow-up CMR, after a median interval of 2.6 years (0.4- 8.4). The rate of deterioration of LV or RV EF or EDV did not differ between rTFC categories. A more rapid increase of z-RVEDV was associated with a faster decline in z-RVEF (r2 = -0.383, p=0.004) and z-LVEF (r2 = -0.45, p=0.001). A decline of z-LVEF over time correlated with that of z-RVEF (r2 = 0.60, p<0.001) and z-LVEDV increase correlated with z-RVEDV increase (r2 = 0.84, p<0.001). Conclusion: LV myocardial dysfunction is present in young patients with suspected or confirmed ARVC. Quantification of myocardial mechanics with CMR may be a useful tool to detect early LV involvement in ARVC. Progressive LV dysfunction and enlargement appear to parallel those of the RV.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.005
Threshold uncertainty score0.751

Codex and Gemma teacher scores by category

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

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 head0.006
GPT teacher head0.207
Teacher spread0.201 · 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.

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
Published2015
Admission routes1
Has abstractyes

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