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Abstract 11699: Angiographic Coronary Artery Disease (CAD) and Outcomes in Acute Heart Failure (HF)

2021· article· en· W3214772837 on OpenAlexaffabout
Leah Kosyakovsky, Heather Ross, Shaun G. Goodman, Xuesong Wang, Husam Abdel Qadir, Peter C. Austin, Patrick R. Lawler, Eric Horlick, Andrew Czarnecki, I. Raslan, Barbara S. Doumouras, Michael E. Farkouh, John A. Spertus, Douglas S. Lee

Bibliographic record

VenueCirculation · 2021
Typearticle
Languageen
FieldMedicine
TopicCardiac Imaging and Diagnostics
Canadian institutionsSunnybrook Health Science CentreDouglas Mental Health University InstituteInstitute for Clinical Evaluative SciencesSt. Michael's HospitalToronto General HospitalUniversity Health NetworkUniversity of Toronto
Fundersnot available
KeywordsMedicineInternal medicineCoronary artery diseaseCardiologyMyocardial infarctionStenosisRevascularizationAnginaHeart failureAcute coronary syndromeCohortUnstable angina

Abstract

fetched live from OpenAlex

Introduction: The association between CAD severity and long-term outcomes in patients admitted with acute HF has not been determined. We characterized the angiographic burden of CAD in patients with acute HF and determined the association between CAD severity and mortality and readmission outcomes. Methods: In a multicenter registry of 70 hospitals in Ontario, Canada, we identified acute HF patients who underwent coronary angiography within 14 days of hospitalization (April 2010-March 2013) using stratified random sampling. We selected a cohort of HF patients with a higher a priori risk of CAD, defined inclusively as those with at least one of the following features: previous myocardial infarction (MI), troponin elevation, or angina on presentation. Using angiographic data, we defined obstructive CAD as the presence of > 70% stenosis in at least one epicardial vessel or > 50% left main (LM) stenosis. Multivessel disease (MVD) was defined as the presence of obstructive disease in 2 or more vessels. We determined adjusted associations between coronary anatomy and the rate of cardiovascular (CV) death and readmissions over two years. Results: Of 1772 patients undergoing angiography who met inclusion criteria (median age 71 [IQR 62-79] years; 38.5% women), 1039 patients had CAD and 683 had MVD. Increasing CAD burden was associated with higher CV death (Figure). CV death was significantly increased in those with any CAD and HFpEF (HR 2.27, 95%CI; 1.12, 4.59, p=0.023). The rate of CV death was increased in MVD (HR 1.91, 95% CI; 1.32, 2.75, p<0.001) but not single-vessel disease (HR 1.15, 95%CI; 0.75, 1.77, p=0.516), compared to no obstructive CAD. There was no interaction between MVD and HFpEF or HFrEF status for the outcome of CV death (p=0.690). CV readmission was also significantly higher only in MVD (HR 1.28, 95%CI; 1.07, 1.54, p=0.008). Conclusion: In patients presenting with acute HF, angiographic MVD is associated with an increased rate of CV death and readmissions over 2 years.

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)0.002
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 score0.104
Threshold uncertainty score0.207

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.011
GPT teacher head0.264
Teacher spread0.253 · 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
Published2021
Admission routes2
Has abstractyes

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