Prognostic value of dynamic electrocardiographic T wave changes in non-ST elevation acute coronary syndrome
Bibliographic record
Abstract
OBJECTIVE: To assess the relationship between the evolution of T wave inversion (TWI) on the 24-48 h postadmission ECG and the patient characteristics, management and clinical outcomes among those with non-ST elevation acute coronary syndrome (NSTE-ACS). METHODS: We evaluated admission and 24-48 h follow-up ECGs of 7201 patients with NSTE-ACS from the prospective, multicentre Global Registry of Acute Coronary Events (GRACE) and Canadian ACS Registry I. We performed multivariable analyses to determine the association between new TWI (on follow-up ECG only), resolved TWI (on admission ECG only) and persistent TWI (on both admission and follow-up ECG) and inhospital and cumulative 6-month all-cause mortality. RESULTS: Patients with TWI were older, more likely to have cardiovascular risk factors, higher Killip class and GRACE risk scores. After adjustment for known prognostic factors, compared with patients presenting without TWI, new TWI was associated with significantly lower inhospital mortality (OR=0.60, 95% CI 0.38 to 0.95, p=0.029), whereas resolved (OR=1.06, 95% CI 0.65 to 1.75, p=0.81) and persistent (OR=0.73, 95% CI 0.48 to 1.11, p=0.14) TWI did not predict inhospital mortality. No TWI pattern independently predicted inhospital adverse cardiovascular events or cumulative 6-month mortality. In contrast, ST depression on the admission and follow-up ECG were independent predictors of inhospital and 6-month mortality. CONCLUSIONS: Across the spectrum of NSTE-ACS, TWI within 48 h of presentation was associated with high-risk clinical features, but its presence or dynamic change did not provide additional prognostic value beyond other established clinical predictors.
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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 | 0.004 |
| 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 | 0.001 | 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".