Prevention of cognitive dysfunction in elderly cancer patients operated on the pelvic organs in conditions of multimodal anesthesia
Bibliographic record
Abstract
The aim of the study was to evaluate the impact of various variants of multimodal anesthesia on the cognitive functions of elderly patients after surgical interventions on pelvic organs, the development of preventive measures for POCD. MATERIAL AND METHODS: - 39 patients who had anticipated multimodal analgesia on the basis of systemic administration of lidocaine, sulphate magnesia, verapamil. In each group, patients are divided into subgroups - the main (O) and control (K). In the main subgroups anesthetics were supplemented with 20 ml. Cytoflavin, administered 20-25 minutes before the end of surgery and on the 1-3 days of the perioperative period. Cognitive functions were assessed by standardized scales: Mini Mental State Examination (MMSE), Montreal Cognitive Evaluation Scale (MoCA), Frontal Assessment Batteries (FAB). The level of anxiety and depression was determined by the hospital scale of anxiety and depression (HADS). RESULTS: At oncological patients of advanced age in 52.5% of cases there is a moderate degree of cognitive impairment. In the perioperative period, in the study groups, when using different variants of multimodal anesthesia, there is an equivalent transient decrease in cognitive functions by 12.5 and 12.8%. The use of cytoflavin can reduce the manifestation of POCD from 1-day perioperative period, improve the cognitive status of patients. CONCLUSION: In cancer patients of advanced age, cognitive impairment is observed, aggravated after surgical treatment, regardless of the variant of multimodal anesthesia. Protection by Cytoflavin allows to restore the cognitive functions of elderly cancer patients, reduce the manifestations of POCD.
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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) | 0.001 | 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".