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Record W2568664691 · doi:10.1001/jamacardio.2016.5228

Prognostic Implications of Raphe in Bicuspid Aortic Valve Anatomy

2017· article· en· W2568664691 on OpenAlexaff
William Kong, Victoria Delgado, Kian Keong Poh, Madelien V. Regeer, Arnold C.T. Ng, Louise McCormack, Tiong Cheng Yeo, Miriam Shanks, Sarah Parent, Roxana Enache, Bogdan A. Popescu, Michael Liang, James Yip, Charlotte Lawrence, Vasileios Kamperidis, Philippe J. van Rosendael, Enno T. van der Velde, Nina Ajmone Marsan, Jeroen J. Bax

Bibliographic record

VenueJAMA Cardiology · 2017
Typearticle
Languageen
FieldMedicine
TopicAortic Disease and Treatment Approaches
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineBicuspid aortic valveRapheAnatomyCardiologyInternal medicineAortic valve

Abstract

fetched live from OpenAlex

Importance: Little is known about the association between bicuspid aortic valve (BAV) morphologic findings and the degree of valvular dysfunction, presence of aortopathy, and complications, including aortic valve surgery, aortic dissection, and all-cause mortality. Objective: To investigate the association between BAV morphologic findings (raphe vs nonraphe) and the degree of valve dysfunction, presence of aortopathy, and prognosis (including need for aortic valve surgery, aortic dissection, and all-cause mortality). Design, Setting, and Participants: In this large international multicenter registry of patients with BAV treated at tertiary referral centers, 2118 patients with BAV were evaluated. Patients referred for echocardiography from June 1, 1991, through November 31, 2015, were included in the study. Exposures: Clinical and echocardiographic data were analyzed retrospectively. The morphologic BAV findings were categorized according to the Sievers and Schmidtke classification. Aortic valve function was divided into normal, regurgitation, or stenosis. Patterns of BAV aortopathy included the following: type 1, dilation of the ascending aorta and aortic root; type 2, isolated dilation of the ascending aorta; and type 3, isolated dilation of the sinus of Valsalva and/or sinotubular junction. Main Outcomes and Measures: Association between the presence and location of raphe and the risk of significant (moderate and severe) aortic valve dysfunction and aortic dilation and/or dissection. Results: Of the 2118 patients (mean [SD] age, 47 [18] years; 1525 [72.0%] male), 1881 (88.8%) had BAV with fusion raphe, whereas 237 (11.2%) had BAV without raphe. Bicuspid aortic valves with raphe had a significantly higher prevalence of valve dysfunction, with a significantly higher frequency of aortic regurgitation (622 [33.1%] vs 57 [24.1%], P < .001) and aortic stenosis (728 [38.7%] vs 51 [21.5%], P < .001). Furthermore, aortic valve replacement event rates were significantly higher among patients with BAV with raphe (364 [19.9%] at 1 year, 393 [21.4%] at 2 years, and 447 [24.4%] at 5 years) vs patients without raphe (30 [14.0%] at 1 year, 32 [15.0%] at 2 years, and 40 [18.0%] at 5 years) (P = .02). In addition, the all-cause mortality event rates were significantly higher among patients with BAV with raphe (77 [5.1%] at 1 year, 87 [6.2%] at 2 years, and 110 [9.5%] at 5 years) vs patients without raphe (2 [1.8%] at 1 year, 3 [3.0%] at 2 years, and 5 [4.4%] at 5 years) (P = .03). However, on multivariable analysis, the presence of raphe was not significantly associated with all-cause mortality. Conclusions and Relevance: In this large multicenter, international BAV registry, the presence of raphe was associated with a higher prevalence of significant aortic stenosis and regurgitation. The presence of raphe was also associated with increased rates of aortic valve and aortic surgery. Although patients with BAV and raphe had higher mortality rates than patients without, the presence of a raphe was not independently associated with increased all-cause mortality.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.032
GPT teacher head0.326
Teacher spread0.294 · 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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Citations138
Published2017
Admission routes1
Has abstractyes

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