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Record W2948087128 · doi:10.1093/ehjci/jez118.019

P432aortic stenosis. the role of aortoseptal angulation as a predictive factor for asymmetrical septal hypertrophy

2019· article· en· W2948087128 on OpenAlexaboutno aff
Amy Jenkins, Anish Bhuva, Alun D. Hughes, Charlotte Manisty, James Moon, Thomas A. Treibel

Bibliographic record

VenueEuropean Heart Journal - Cardiovascular Imaging · 2019
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and Diving-Related Complications
Canadian institutionsnot available
Fundersnot available
KeywordsStenosisCardiologyMuscle hypertrophyInternal medicineMedicineFactor (programming language)Computer science

Abstract

fetched live from OpenAlex

Funding Acknowledgements: TAT was funding by a research training fellowship of the National Institute of Health Research in the UK Intro: Aortic stenosis (AS) results in increased left ventricular (LV) pressure results in left ventricular hypertrophy (LVH), which regresses after aortic valve replacement (AVR). The LV remodels in a variety of patterns and degrees, and can be asymmetrical in a quarter of patients with asymmetric septal hypertrophy (ASH). The aortoseptal angulation (ASA) has shown to be more acute in patients with LVH, and may be associated to the degree of ASH. Purpose: To evaluate the role of ASA in AS, hypothesising that ASH is associated with a more acute angulation and may regress after AVR, Methods: Patients with severe AS from the RELIEF-AS Study (NCT 02174471) with paired CMRs before and 1-year after surgical AVR were included. CMR analysis was performed on bSSFP cine images in short and long axes images using CVI42 (Circle Version 5.2, Canada). ASA was defined as the angle between a line drawn along the border of the right and left intraventricular septum (parallel to the proximal RV endocardial border) and a line drawn through the long axis of the aortic root (see Figure 1). Results: 116 patients with symptomatic severe AS were included in the analysis (Age, 70 ± 10 years, 55% male, aortic valve area 0.66 ± cm2 ± 0.02cm2, 94% of the cohort were hypertensive and 18% were diabetic). Pre-AVR: ASH was associated with patient sex (β=0.229), weight (β=0.222), BMI (β=0.160), aortic annulus area (β=0.243), aortic valve area (β=0.178) and ASA (β=-0.261), (p < 0.05). On multivariate analysis, only aortic valve area was significant (β= 0.030, p < 0.05). ASA was associated with patient sex (β=-0.250), aortic diameter (β=-0.287) and maximal septal wall thickness (β=-0.261), (p < 0.05). On multivariate analysis, aortic diameter and septal hypertrophy were the associations (p < 0.05), although sex showed a trend in the results (p = 0.072). At 1-year post-AVR, there was an association between the angle increase and normalisation of the ASH (p < 0.0001). Conclusion: In severe aortic stenosis, asymmetrical septal hypertrophy is associated with the acuteness of the aorto-septal angle with both increasing post-operatively. Abstract P432 Figure. Measurement of aortoseptal angulation

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.507
Threshold uncertainty score0.763

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.005
Bibliometrics0.0000.000
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 head0.014
GPT teacher head0.256
Teacher spread0.243 · 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
Published2019
Admission routes1
Has abstractyes

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