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Abstract 14925: Inverse Association between Family History of Premature Coronary Artery Disease and the Risk of Death in Patients with Coronary Artery Disease

2014· article· en· W1572207755 on OpenAlexaffabout
Ahmed Ali, Abdel Aziz Shaheen, Danielle A. Southern, Mei Zhang, Merril Knudston, James A. White, Matthew T. James, Stephen B. Wilton

Bibliographic record

VenueCirculation · 2014
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Health and Risk Factors
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineCoronary artery diseaseInternal medicineCardiologyOdds ratioHeart failureProspective cohort studyDyslipidemiaDisease

Abstract

fetched live from OpenAlex

Background: Family history (FHx) of premature coronary artery disease (CAD) is an established cardiovascular risk factor. However the impact of FHx on outcomes of patients with CAD is unclear. Methods & Results: The Alberta Provincial Project for Outcomes Assessment in Coronary Heart Disease (APPROACH) Program is an inclusive prospective registry of patients undergoing coronary angiography. Between April 2002 and Mar 2013, 99,667 patients were enrolled. 30,030 (30%) patients reported FHx, defined as a first degree relative with premature CAD (males <55, females <65 years). We investigated the association between FHx and all-cause mortality at 1 year, using multivariable logistic regression, adjusting for clinical characteristics, comorbidities, and the extent of CAD. Patients with normal angiography (15.2%) were excluded. Compared to those without FHx, those with FHx were younger (60.1 vs 64.0 years, p<0.0001), more likely female (30.5% vs 29.5%; p=0.0018), and were less likely to have previously diagnosed CAD, congestive heart failure, stroke, or chronic kidney disease (all p<0.0001) Conversely, those with FHx were more likely current smokers (31.8% vs 25.3%) and to have hypertension (68.8% vs 65.5%) and dyslipidemia (75.7% vs 68.1%), all p<0.0001). The indication for angiography was an acute coronary syndrome (ACS) in 55% of both groups (p=0.57), and the extent of CAD was similar. Overall, FHx was associated with reduced 1-year mortality in fully adjusted models (odds ratio [OR] 0.56, 95% CI 0.51 to 0.62). This protective association was present in patients with and without a previous CAD event (OR 0.66 [95% CI 0.60 to 0.78] vs 0.53 [95% CI 0.47 to 0.59], respectively), and in patients with and without an ACS (OR 0.56 [95% CI 0.50 to 0.63] vs 0.56 [95% CI 0.48 to 0.65], respectively). There was slight attenuation of association with age, but FHx remained protective even in those aged 80 or more (OR 0.72, 95% CI 0.57 to 0.90). Conclusion: In patients with angiographic CAD, a family history of premature CAD is associated with lower mortality, independent of clinical characteristics, mode of presentation, and extent of disease. Further investigation of potential patient- and system-level mediators of this seemingly paradoxical relationship is required.

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)0.003
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 score0.029
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.010
GPT teacher head0.211
Teacher spread0.200 · 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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Citations0
Published2014
Admission routes2
Has abstractyes

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