Abnormal cardiomyocytes electrophysiology in patients with DM
Bibliographic record
Abstract
Introduction:. ECG is used for routine evaluation heart function which depends from electrolytes content, especially Calcium and Potassium. In patients with DM ECG not always adequately reflect heart conditions related to abnormal level of Calcium Potassium. ECG is used for routine evaluation heart function which depends from electrolytes content, especially Calcium and Potassium. In patients with DM ECG not always adequately reflect heart conditions related to abnormal level of Calcium, Potassium. We aimed to compare type of ECG in patients with acute Myocardial Infarction (AMI) with and without DM2. Material and methods: 170 patients who were admitted to emergency department in Bukhara city hospitals type of ECG, blood biochemical parameters, were observed and compared. Results: Among 170 patients with AMI 62% has DM2, 24% has transient hyperglycemia and in 14% stay without any carbohydrate disturbances. In 63.52% patients ECG were with Q wave, in 36.47% without Q wave. Whereas ECG with Q wave were registered in 63.9% of patients with DM2, 20.37% in patients with transient hyperglycemia and in 15.7% in patients without carbohydrate abnormalities, suggested about linkage between glycemia and type of ECG. Type of ECG among those with carbohydrates abnormalities show dependance from glycemia level and were 21.23% in people with glycemia higher than 11.0 Mmol/L, and in 12.3% at the glycemia lower than 4.0 Mmol/L suggested about awareness of high and low glycemia. conclusion:. ECG type in patients with DM depends from electrolytes abnormalities, depends from glycemia level. This abstract was presented at the American Physiology Summit 2025 and is only available in HTML format. There is no downloadable file or PDF version. The Physiology editorial board was not involved in the peer review process.
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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 | 0.001 | 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) | 0.005 | 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".