Long-term prognostic value of dipyridamole echocardiography in vascular surgery: a large-scale multicenter study
Bibliographic record
Abstract
BACKGROUND: Late cardiac events after non-cardiac major vascular surgery are an important cause of morbidity and mortality. The aim of the present study was to assess the value of a preoperative dipyridamole echocardiography test (up to 0.84 mg/kg over 10 min) in predicting late cardiac events in survivors of major non-cardiac vascular surgery. DESIGN: Large-scale, multicenter, prospective, observational study design. METHODS: Two hundred and seventy-six patients (mean age 66 +/- 9 years) were studied prior to vascular surgery by dipyridamole stress echocardiography in four different centres. All patients underwent preoperative clinical risk assessment according to the American Heart Association guidelines. All underwent dipyridamole stress echocardiography according to standard high-dose protocol. RESULTS: No major complications occurred during dipyridamole stress echocardiography. Sixty-three patients (23%) had a positive test. Patients were followed up for a median of 20 months. Cardiac events occurred in 43 patients (16%): five deaths, 18 myocardial infarctions and 20 cases of unstable angina. The difference between wall-motion score index (WMSI) at rest and peak stress (delta WMSI), using multivariate analysis, was an independent predictor of late cardiac death. CONCLUSION: Dipyridamole stress echocardiography performed before major vascular surgery identifies patients at high risk for late cardiac events. Stress echocardiographic parameters outperformed clinical variables in the long-term risk stratification in this set of patients.
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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 | 0.002 | 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 | 0.001 |
| 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".