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Record W2997656569 · doi:10.1002/phar.2359

Association Between Hemoglobin A1c and Major Adverse Coronary Events in Patients with Diabetes Following Coronary Artery Bypass Surgery

2019· article· en· W2997656569 on OpenAlexaff
Ricky D. Turgeon, Sheri L. Koshman, Erik Youngson, Glen J. Pearson

Bibliographic record

VenuePharmacotherapy The Journal of Human Pharmacology and Drug Therapy · 2019
Typearticle
Languageen
FieldMedicine
TopicHyperglycemia and glycemic control in critically ill and hospitalized patients
Canadian institutionsUniversity of AlbertaVancouver General HospitalUniversity of British Columbia
Fundersnot available
KeywordsMedicineMaceInternal medicineCardiologyMyocardial infarctionHazard ratioPercutaneous coronary interventionDiabetes mellitusUnstable anginaCoronary artery diseaseAngioplastyCoronary artery bypass surgeryRevascularizationSurgeryArteryConfidence interval

Abstract

fetched live from OpenAlex

INTRODUCTION: Diabetes is associated with a higher risk of major adverse coronary events (MACE) following coronary artery bypass grafting (CABG). Guidelines recommend disparate targets for glycemic control of patients with diabetes who have undergone CABG, ranging from a target hemoglobin A1c (HbA1c) of < 7.0% to 7.1-8.5%, based on data from non-CABG patients. To date, no study has evaluated the long-term impact of HbA1c concentrations on MACE post-CABG. OBJECTIVE: To evaluate the association between HbA1c and MACE in CABG patients with diabetes. METHODS: A secondary analysis of the Bypass Angioplasty Revascularization Investigation 2 Diabetes (BARI2D) trial, which enrolled patients with type 2 diabetes and coronary artery disease, restricted to participants who underwent CABG with ≥ 1 HbA1c measurement post-CABG, was performed. The index date was date of first post-CABG HbA1c measurement. The primary outcome was MACE (composite of death, myocardial infarction, unstable angina, or repeat revascularization). Secondary outcomes included MACE components and heart failure. Cox proportional hazards models treating HbA1c as a time-dependent exposure (reference group: HbA1c 6.1-7.0%) were used to derive hazard ratios (HRs) with 95% confidence intervals adjusting for age, sex and baseline characteristics selected by stepwise regression. RESULTS: A total of 549 patients were followed over a median 3.5 years. The median age of the cohort was 64 years, 25.1% were female, and median baseline HbA1c was 6.7%. Compared to achieving an HbA1c 6.1-7.0%, HbA1c > 8.0% was associated with an increased risk of MACE (HR 1.77, 1.01-3.10). This association was strongest for unstable angina (HR 5.21, 1.03-26.39). Achieving an HbA1c ≤ 6.0% was associated with an increased risk of death (HR 2.41, 1.01-5.74). Other comparisons were not statistically significant. CONCLUSION: Among patients with type 2 diabetes who underwent CABG, achieving HbA1c 6.1-7.0% was associated with a lower risk of MACE and unstable angina versus achieving an HbA1c > 8.0% and lower risk of death versus achieving an HbA1c ≤ 6.0%.

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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.272
Teacher spread0.263 · 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

Citations14
Published2019
Admission routes1
Has abstractyes

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