Analysis of the neuronal damage severity and cognitive status in patients after operations on the aortic arch
Bibliographic record
Abstract
Aim. To assess the neuronal damage severity and cognitive status in conditions of unilateral antegrade cerebral perfusion through the brachiocephalic trunk during surgical reconstruction of the thoracic aorta. Material and methods. The study included 144 patients with aneurysm and dissection of the thoracic aorta. Patients underwent reconstructive surgery under cardiopulmonary bypass, unilateral antegrade cerebral perfusion and circulatory arrest. Before and after the intervention, a cognitive status analysis was performed using the Montreal Cognitive Assessment (MoCA), Amatinu test and Schulte tables. The dynamics of neuron-specific enolase (NSE), a marker of neuronal damage, was determined perioperatively. Results. The duration of cardiopulmonary bypass was 155 [115; 201] min, cardioplegic arrest — 100 [72; 150] min, unilateral perfusion — 20 [15; 51] min,circulatory arrest — 20 [15; 30]min.Hospital mortality was 7% (10 cases). Neurological complications were noted in 12 (8%) cases. All patients in the postoperative period (within 24 hours) showed an increase in NSE compared with baseline values (3,3 μg/L and 2,07 μg/L, respectively, p=0,0003), but not exceeding the upper limit of normal (9,9 μg/l). According to the results of psychometric tests, which were carried out upon admission to the hospital and 2 weeks after the operation, there were no negative changes (MoCA test: 24 [21; 26] points — 26 [24; 27] points, p=0,00001; Schulte tables: 288 [240; 368] s — 278 [241; 328] s, p=0,01; Amatuni sample 264 [216; 297] s — 254 [221; 280] s, p=0,57). Conclusion. Based on the analysis of the perioperative dynamics of neuronspecific enolase and cognitive tests, unilateral cerebral perfusion through the brachiocephalic trunk is effective and relatively safe. This method of perfusion protection of the brain helps to minimize postoperative neurological complications during operations on the thoracic aorta.
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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 | 0.001 | 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) | 0.001 | 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".