Peak troponin I level predicts new-onset atrial fibrillation in patients with myocardial infarction
Bibliographic record
Abstract
Purpose We aimed to assess the predictive value of peak troponin I level for the occurrence of new-onset AF in myocardial infarction. Methods A total of 1553 patients, who were hospitalized with diagnosis of STEMI and underwent primary PCI, were retrospectively evaluated. New-onset AF was defined as any newly diagnosed AF that occurred during index hospitalization after primary PCI. Results New-onset AF was observed in 90 patients (5.8% of the study population). Patients who developed AF were older (56.1 vs. 62.6 years, p <0.001), more often had history of stroke and coronary bypass (4.4% vs. 0.8%, p = 0.001; 7.8% vs. 0.9%, p <0.001, respectively), were more often admitted with Killip class 3 or 4 (38.9% vs. 2.7%, p <0.001) and had a TIMI grade flow <3 after PCI (42.2% vs. 6%, p <0.001), higher C-reactive protein plasma level (8.6 vs. 4.8 mg/L, p <0.001) and a higher peak troponin I level (34.5 vs. 29.4 ng/mL, p = 0.02). On multivariate regression analysis, peak troponin I level (odds ratio, 0.97; 95% confidence interval, 0.95-0.99; p = 0.007) independently predicted AF occurrence. Conclusion For the first time, peak troponin I has been demonstrated to be independently correlated with AF development in STEMI patients after primary PCI. A major limitation of our study is lack of other serum biochemical markers for the estimation of infarct size; therefore, prospective, large-scale studies are needed.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.001 | 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".