OC63 REQUEST REGISTRY: INTERIM RESULTS OF INTERNATIONAL MULTICENTRIC PROSPECTIVE REGISTRY FOR THE EVALUATION OF TRANSIT TIME FLOW MEASUREMENT AND INTRAOPERATIVE IMAGING IN CORONARY SURGERY
Bibliographic record
Abstract
Abstract Background and Aim: Intraoperative graft failure is a well-recognized issue with a rate of 4–5% of incidence involving the 10% of patient submitted to CABG.Despite this evidence and the recommendation of international guidelines the routine use of intraoperative graft verification is low.The purpose of this multicentric prospective international registry was to assess the impact of routine use of Transit-Time Flow Measurement (TTFM) and High-Resolution Epicardial Ultrasonography (HR-ECUS) in CABG patients. Methods: The design of the study imposed to enroll 1000 patients in 7 centers (Italy,UK,USA,Canada,Germany,Netherlands) from 2015 to 2017.The inclusion criterium was the indication to isolated CABG operation in patient with at least 2-vessel disease.The study protocol and ethical approval was published in clinicaltrial.gov in February, 2015. The endpoints of the registry were: 1)any change in planned surgical procedure;2)type of change (aorta,coronary target, conduits,anastomosis);3)number and reason for the revision;4)in-hospital mortality and stroke. Results: total of 346 surgical strategy changes were registered in 249 (26%) patients.HR-ECUS leads to change in aorta manipulation sites in 10% of the patients,in coronary anastomotic site in 20% of the patients and the combined use of TTFM and HR-ECUS to 3% of intraoperative graft revision.The total number of adverse events was 1017 (22% mild,70% moderate,8% severe.The mortality rate was 0.5% with a stroke rate of 0.7%. Conclusions: In the hands of expert surgeons,high rate of optimal medical therapy use (> 70%) and state-of-the-art surgical procedure the intraoperative guidance and graft verification of HR-ECUS and TTFM were associated with a 3% of revision rate and low-level of in-hospital mortality and stroke.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.013 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".