The value of the Clinical SYNTAX Score in predicting long-term prognosis in patients with ST-segment elevation myocardial infarction who have undergone primary percutaneous coronary intervention
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Bibliographic record
Abstract
BACKGROUND: The Clinical SYNTAX Score (CSS) combines anatomical and clinical risk assessment. OBJECTIVES: This study was designed to evaluate CSS as a predictor of prognosis in patients with ST-elevation myocardial infarction (STEMI) undergoing a primary percutaneous coronary intervention (p-PCI). METHODS: We evaluated 433 patients who were diagnosed with STEMI and underwent p-PCI. CSS was calculated by multiplying the anatomically derived SYNTAX score (Sx) by the modified age, creatinine, and ejection fraction score. Patients were divided into tertiles according to the CSS: CSS(Low)≤14 (n=141), 14<CSS(Mid)≤26 (n=144), and CSS(High)>26 (n=148). The primary endpoints were defined as all-cause mortality, myocardial infarction, and cerebrovascular events over 15 months' follow-up. RESULTS: Primary endpoints were achieved in 9.2% of patients with CSS≤14, 12.5% of those with 14<CSS≤26, and 28.4% of those with CSS>26 (P<0.001). Kaplan-Meier analysis showed that the CSS>26 group had a significantly higher incidence of primary endpoints [P (log-rank)<0.001]. CSS>26 was identified as an independent predictor for all-cause mortality, myocardial infarction, and cerebrovascular events (hazard ratio 3.58, 95% confidence interval 1.68-7.60, P=0.001). Receiver operating characteristic analysis found areas under the curve of 0.66, 0.59, and 0.64 for CSS, Sx score, and age, creatinine, and ejection fraction score (P<0.001, P=0.01, P<0.001, respectively). CONCLUSION: CSS may be better than the Sx score for predicting long-term prognosis in patients with STEMI undergoing p-PCI.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it