Diabetes association with self‐reported health, resource utilization, and prognosis post‐myocardial infarction
Bibliographic record
Abstract
BACKGROUND: Diabetes mellitus (DM) is associated with increased cardiovascular (CV) risk. We compared health-related quality of life (HRQoL), healthcare resource utilization (HRU), and clinical outcomes of stable post-myocardial infarction (MI) patients with and without DM. HYPOTHESIS: In post-MI patients, DM is associated with worse HRQoL, increased HRU, and worse clinical outcomes. METHODS: The prospective, observational long-term risk, clinical management, and healthcare Resource utilization of stable coronary artery disease study obtained data from 8968 patients aged ≥50 years 1 to 3 years post-MI (369 centers; 25 countries). Patients with ≥1 of the following risk factors were included: age ≥65 years, history of a second MI >1 year before enrollment, multivessel coronary artery disease, creatinine clearance ≥15 and <60 mL/min, and DM treated with medication. Self-reported health status was assessed at baseline, 1 and 2 years and converted to EQ-5D scores. The main outcome measures were baseline HRQoL and HRU during follow-up. RESULTS: DM at enrollment was 33% (2959 patients, 869 insulin treated). Mean baseline EQ-5D score (0.86 vs 0.82; P < .0001) was higher; mean number of hospitalizations (0.38 vs 0.50, P < .0001) and mean length of stay (LoS; 9.3 vs 11.5; P = .001) were lower in patients without vs with DM. All-cause death and the composite of CV death, MI, and stroke were significantly higher in DM patients, with adjusted 2-year rate ratios of 1.43 (P < .01) and 1.55 (P < .001), respectively. CONCLUSIONS: Stable post-MI patients with DM (especially insulin treated) had poorer EQ-5D scores, higher hospitalization rates and LoS, and worse clinical outcomes vs those without DM. Strategies focusing specifically on this high-risk population should be developed to improve outcomes. TRIAL REGISTRATION: ClinicalTrials.gov: NCT01866904 (https://clinicaltrials.gov).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".