Effect of Cerebrolysin on Cognitive Function and Delirium in Coronary Artery Bypass Graft Patients.
Bibliographic record
Abstract
BACKGROUND The occurrence of delirium in the first days after cardiac surgery is associated with a worse prognosis. We studied the effect of cerebrolysin (CBL) given to patients undergoing elective coronary artery bypass grafting surgery (CABG) under extracorporeal circulation, on the postoperative results in the Montreal Cognitive Assessment score (MoCA) results, and the rate of delirium detected by using the Confusion Assessment Method (CAM). MATERIAL AND METHODS Adult patients undergoing elective CABG surgery under propofol-based anesthesia were divided into 2 groups: the study group received 50 ml of CER preoperatively and on the 4 subsequent consecutive days, and the control group did not receive CER. MoCA was used to assess cognition, and CAM was applied to detect delirium. Both tests were performed preoperatively, as well as on the 2nd and 5th postoperative days. RESULTS The study [n=29] and control [n=26] groups were well-balanced in terms of basic demographic, psychological, and clinical variables. Although significantly lower values of the MoCA (medians: 27 vs 24, respectively; P=0.0083) were detected in the study group in the second assessment, the pre- and postoperative MoCA values did not differ between the analyzed groups. Delirium occurred in 3 cases, and only in the control group, and the difference was not statistically significant. CONCLUSIONS Patients maintained their cognitive status. The lack of delirium in the study group prompts us to develop a plan for a large-scale multicenter study assessing the potential ability of CER to reduce the risk of delirium in cardiac surgery 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 | 0.000 | 0.001 |
| 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 | 0.000 |
| 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 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".