A comparative study of effects of combined spinal-epidural anesthesia and general anesthesia on short-term postoperative cognitive function in elderly patients with lacunar infarction
Bibliographic record
Abstract
Objective To investigate the effects of combined spinal-epidural anaesthesia( CSEA) and general anesthesia on the short-term postoperative cognitive function in elderly patients with lacunar infarction. Methods A total of 70 cases of senile lacunar infarction treated with surgery in our hospital from June 2012 to December 2013 were enrolledand divided into CSEA group( group A) and general anesthesia group( group B) according to anesthetic methods. Before anesthesia and after surgical procedure,the postoperative cognitive of two groups were checked with Mini-Mental State assay( MMSE)score and Montreal Cognitive Assessment( Mo CA),and postoperative cognitive dysfunction rate of bothgroups were accounted. The brain-related functional areas changes of both groups were also observed by functional MRI( f MRI).Results The POCD rate of group A was 12%,which was significantly lower than 32% in group B,the difference was statistically significant( P 0. 05). Compared with the levelbefore the anesthesia,the post-operative MMSE score and Mo CA scoresof bothgroups were significantly reduced,the difference was statistically significant( P 0. 05); as compared withgroup B,the post-operative MMSE score and Mo CA scores of group A were significantly higher,the difference was statistically significant( P 0. 05). f MRI showed thatthe related brainareas of bothgroups were significantly activated as compared with those before the anesthesia; ascompared withgroup B,the activation status of group A was significantly lower( P 0. 05). Conclusion The preoperative anesthesiawill at some extent damage the cognitive function of elderly patients with lacunar infarction; CSEA do lower the damage to cognitive function and lower the influence on the change of movement-related brain areas.
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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) | 0.001 | 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) | 0.001 | 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".