Abstract 16: Diabetes, Pre-diabetes, and Progression of Subclinical Myocardial Damage
Bibliographic record
Abstract
Background: Persons with hyperglycemia even below the threshold for the diagnosis of diabetes are at increased risk for cardiovascular events. The relationships of pre-diabetes and undiagnosed diabetes with progression of subclinical myocardial damage are relatively uncharacterized. Objective: To characterize the associations of diabetes and pre-diabetes with 6-year progression of subclinical myocardial injury, as assessed by a novel highly sensitive assay for cardiac troponin T (hs-cTnT). Methods: We conducted a prospective analysis of hs-cTnT measured at two time points, 6 years apart, in 8446 participants of the community-based ARIC Study with hs-cTnT <14 ng/L and without a history of heart disease, stroke or heart failure at baseline (1990-92). We examined the associations of pre-diabetes and diabetes defined by HbA1c or fasting glucose with 6-year change in hs-cTnT after adjustment for traditional cardiovascular risk factors. Diagnosed diabetes was defined as self-reported physician diagnosis or medication use for diabetes. We used Poisson regression to evaluate the risk of progression of hs-cTnT from non-elevated (<14 ng/L) to elevated (≥14 ng/L) (“incident elevated hs-cTnT”) at 6 years of follow-up. Results: Baseline prevalence of elevated concentrations of hs-cTnT among persons with no diabetes (HbA1c<5.7%), prediabetes (HbA1c 5.7-6.4%), undiagnosed diabetes (≥6.5%), and diagnosed diabetes were 1.8%, 3.3%, 6.3% and 10.3%, respectively. Diagnosed diabetes, undiagnosed diabetes, and pre-diabetes were significantly associated with incident elevated hs-cTnT (Table). The associations of undiagnosed diabetes and pre-diabetes defined by diagnostic categories of HbA1c showed somewhat stronger associations compared to those clinical categories defined by fasting glucose. Conclusions: These results provide evidence for a progressive, deleterious effect of hyperglycemia on the myocardium, even below the threshold for a diagnosis of diabetes.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".