Diabetes mellitus type 2 is associated with higher levels of myeloperoxidase.
Bibliographic record
Abstract
BACKGROUND: Diabetes mellitus type 2 is linked to augmented endothelial dysfunction and accelerated atherosclerosis. Myeloperoxidase plays an important role in the initiation, progression, and the complications of atherosclerosis. We investigated whether myeloperoxidase levels are increased in diabetic patients. MATERIAL/METHODS: We compared baseline plasma myeloperoxidase levels in diabetic and nondiabetic patients with mild, stable anginal complaints (Canadian Cardiovascular Society I-II/IV) and performed multivariate linear regression analyses to adjust for possible confounding factors. RESULTS: A total of 440 patients were recruited from the outpatient clinic of cardiology, 268 patients with and 172 without diabetes mellitus type 2. Levels of myeloperoxidase were significantly higher in diabetic patients (median, 141 pM; interquartile range, 115-171 pM) than in nondiabetic patients (median, 126 pM; interquartile range, 105-167 pM) (P=0.01). Diabetes mellitus type 2, age in years, current smoking status, presence of hypercholesterolemia, and use of calcium antagonists and ACE inhibitors were associated with logarithmically transformed myeloperoxidase levels. Of these variables, diabetes mellitus type 2 (beta 0.096, SE 0.038, P=0.01); age (beta 0.01, SE 0.002, P<0.001), and current smoking (beta 0.166, SE 0.05, P=0.001) remained independently associated with myeloperoxidase levels in multivariate analysis. The linear regression coefficient of diabetes mellitus type 2 in relation to myeloperoxidase was 0.092 in univariate linear regression and 0.078 after adjusting for age, current smoking, and use of ACE inhibitors and calcium antagonists. CONCLUSIONS: Diabetes mellitus type 2 is associated with mildly increased levels of myeloperoxidase, independent of other clinical variables. This association may contribute to the accelerated progression of atherosclerosis in diabetics.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".