Abstract 10413: Clinical Outcomes with Metformin and Sulfonylurea Initiation Among Patients with Heart Failure and Diabetes: From Get with the Guidelines-Heart Failure
Bibliographic record
Abstract
Background: Metformin and sulfonylureas are frequently prescribed to patients with diabetes for glycemic control. The impact of these drugs on cardiovascular outcomes among patients with heart failure (HF) and diabetes is unclear. Methods: We evaluated Medicare beneficiaries hospitalized for HF in the Get With The Guidelines-HF Registry between 2006 and 2014 who had diabetes and Part D prescription coverage (n=29,181). Patients with glomerular filtration rate <45 mL/min/1.73m 2 or prescribed metformin or sulfonylurea prior to admission were excluded. In separate analyses for metformin and sulfonylurea, patients filling new prescriptions for each therapy within 90 days of discharge were compared with patients not prescribed therapy. Multivariable models landmarked at 90 days evaluated associations between therapy and mortality and hospitalization for HF (HHF) outcomes over the following 12 months. Secondary analyses were stratified by ejection fraction (EF) ≤40% vs >40%. Results: Of 5,852 patients, 454 (7.8%) were newly prescribed metformin and 504 (8.6%) were newly prescribed sulfonylurea. After adjustment, metformin prescription was associated with reduced risk of composite mortality/HHF, but not individual components (Table) . Associations with mortality/HHF and HHF endpoints were driven by reduced risk among patients with EF>40% (all p for interaction ≤0.04). Sulfonylurea prescription was independently associated with increased risk of mortality, HHF, and the composite. Associations between sulfonylurea prescription and endpoints were consistent regardless of EF (all p for interaction >0.12). Conclusion: Among US patients hospitalized for HF with comorbid diabetes, initiation of metformin was independently associated with improved clinical outcomes, driven by improvements among patients with preserved EF. In contrast, sulfonylurea initiation was associated with adverse clinical outcomes regardless of EF.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".