Diabetes and pre‐diabetes in patients with heart failure and preserved ejection fraction
Bibliographic record
Abstract
AIM: There is an association between heart failure with preserved ejection fraction (HFpEF) and insulin resistance, but less is known about the diabetic continuum, and in particular about pre-diabetes, in HFpEF. We examined characteristics and outcomes of participants with diabetes or pre-diabetes in PARAGON-HF. METHODS AND RESULTS: Patients aged ≥50 years with left ventricular ejection fraction ≥45%, structural heart disease and elevated N-terminal pro-B-type natriuretic peptide (NT-proBNP) were eligible. Patients were classified according to glycated haemoglobin (HbA1c): (i) normal HbA1c, <6.0%; (ii) pre-diabetes, 6.0%-6.4%; (iii) diabetes, ≥6.5% or history of diabetes. The primary outcome was a composite of cardiovascular (CV) death and total heart failure hospitalizations (HFH). Of 4796 patients, 50% had diabetes and 18% had pre-diabetes. Compared to patients with normal HbA1c, patients with pre-diabetes and diabetes more often were obese, had a history of myocardial infarction and had lower Kansas City Cardiomyopathy Questionnaire scores, while patients with diabetes had more clinical evidence of congestion, but similar NT-proBNP concentrations. The risks of the primary composite outcome (rate ratio [RR] 1.59, 95% confidence interval [CI] 1.35-1.88), total HFH (RR 1.67, 95% CI 1.39-2.02) and CV death (hazard ratio [HR] 1.35, 95% CI 1.07-1.71) were higher among patients with diabetes, compared to those with normal HbA1c. Patients with pre-diabetes had a higher risk (which was intermediate between that of patients with diabetes and those with normal HbA1c) of the primary outcome (HR 1.27, 95% CI 1.00-1.60) and HFH (HR 1.35, 95% CI 1.03-1.77), but not of CV death (HR 1.02, 95% CI 0.75-1.40). Patients with diabetes treated with insulin had worse outcomes than those not, and those with 'lean diabetes' had similar mortality rates to those with a higher body mass index, but lower rates of HFH. CONCLUSION: Pre-diabetes is common in patients with HFpEF and is associated with worse clinical status and greater risk of HFH. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov Identifier NCT01920711.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".