Hyperglycaemia, Ejection Fraction and the Risk of Heart Failure or Cardiovascular Death in Patients with Type 2 Diabetes and a Recent Acute Coronary Syndrome
Bibliographic record
Abstract
AIMS: Chronic hyperglycaemia, assessed by elevated glycated haemoglobin (A1C), is a known risk factor for heart failure (HF) and cardiovascular (CV) death among subjects with diabetes. Whether this risk varies with left ventricular ejection fraction (LVEF) is unknown. This study evaluated whether A1C influences a composite outcome of either HF hospitalization or CV death differently along the spectrum of LVEF. METHODS AND RESULTS: We assessed the relationships of baseline A1C and LVEF with a composite outcome of either CV death or HF hospitalization in the 4091 patients with type 2 diabetes and a recent acute coronary syndrome enrolled in the ELIXA trial who had available LVEF. We assessed for interaction between A1C and LVEF as continuous variables with respect to this outcome. During a median follow-up of 25.7 months, 343 patients (8.4%) had HF hospitalization or died of CV causes. In a multivariable model, A1C and LVEF were each associated with an increased risk of HF hospitalization or CV death [adjusted hazard ratio (HR) 1.11, 95% confidence interval (CI) 1.01-1.21 per 1% higher A1C, and adjusted HR 1.39, 95% CI 1.27-1.51 per 10% lower in LVEF]. Both A1C and LVEF were independently and incrementally associated with risk without evidence of interaction (P for interaction = 0.31). Patients with A1C ≥ 8% and LVEF <40% were at threefold higher risk than those with A1C < 7% and LVEF ≥50% (adjusted HR 3.18, 95% CI 2.03-4.98, P < 0.001). CONCLUSION: In a contemporary cohort of patients with type 2 diabetes and acute coronary syndrome, baseline chronic hyperglycaemia was associated with an increased risk of HF hospitalization or CV death independently of LVEF.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".