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Abstract 16329: Survival Prospects in Congenitally Corrected Transposition of the Great Arteries: Results From a Multi-institutional Study

2020· article· en· W3105029009 on OpenAlexaff
Alexandra van Dissel, Alexander R. Opotowsky, Jamil Aboulhosn, Martijn Kauling, Salil Ginde, Eric V. Krieger, Sangeeta Shah, Tripti Gupta, Fred H. Rodriguez, Anitha S. John, Sandra Jaidzeka, Timothy B. Cotts, Mary Stumpf, Cindy Dwight, Patty Woods, Jeremy Nicolarsen, Berardo Sarubbi, Flavia Fusco, Petra Antonová, Susan M. Fernandes, Jasmine Grewal, Mikyla Janzen, Jonathan Cramer, Paul Khairy, Pastora Gallego, Clare O’Donnell, Jane Hannah, Mikael G. Dellborg, Isabelle Vonder Muhll, Stephen Pylypchuk, Anthony Magalski, Christopher DeZorzi, Frank Han, Amanda Sammons, Joseph Kay, Elizabeth Yeung, David W. Baker, David S. Celermajer, Luke J. Burchill, Craig S. Broberg

Bibliographic record

VenueCirculation · 2020
Typearticle
Languageen
FieldMedicine
TopicCongenital Heart Disease Studies
Canadian institutionsUniversity of AlbertaMontreal Heart InstituteVancouver General Hospital
Fundersnot available
KeywordsMedicineGreat arteriesHeart failureInternal medicineCohortAtrial fibrillationIncidence (geometry)CardiologyCumulative incidenceCohort studyProportional hazards modelSurgeryHeart disease

Abstract

fetched live from OpenAlex

Background: Occasionally patients with congenitally corrected transposition of the great arteries (ccTGA) exhibit little clinical evidence of cardiovascular limitation even to their 8th decade. We aimed to assess survival prospects in a large cohort of ccTGA adults. Methods & Results: We included 555 ccTGA adults (median age 33.0 years, 48.3% female) under regular follow-up at 28 institutions between 2002 and 2019. The primary outcome was a composite of death, mechanical circulatory support (MCS) and heart transplant. During a median follow-up of 8.1 [IQR 4.4 - 13.3] years, 56 (10.1%) patients died, 10 (1.8%) patients underwent MCS and 14 (2.5%) had a heart transplant. Median age at time of primary outcome was 51.1 [IQR 37.5 - 63.2] years and cumulative incidence at 15 years from baseline was 21.5% [95% CI 16.1 - 26.5]. Leading causes of death were worsening of heart failure (43%) and sudden death (10%). Patients who died were more likely to use heart failure (HF) medications. In multivariable Cox analyses for baseline variables, age, prior atrial arrhythmia and HF admission were each associated with an increased risk of the primary outcome. Figure shows cumulative incidence according to history of atrial arrhythmia. During follow-up, 91 (16.4%) were admitted for HF, pacemaker implantation was performed in 68 (12.3%) patients, ICD in 82 (14.7%), and major cardiac surgery (mostly for systemic AV-valve) in 89 (15.8%) patients. Conclusion: In this large cohort of ccTGA adults, survival seemed to be primarily determined by heart failure-related complications. Prior atrial arrhythmia also seems to be a harbinger for adverse outcome. Few patients underwent advanced HF therapies. Figure: Cumulative incidence of the composite primary outcome (MCS, heart transplant or death) over a period of 14 years from first visit at an adult congenital heart disease clinic since 2002 stratified according to history of atrial arrhythmia. Shading represents upper and lower 95% confidence limits.

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)0.002
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 score0.004
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.044
GPT teacher head0.275
Teacher spread0.231 · 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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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