Evaluation of Early Postoperative Cognitive Dysfunction Incidence and Involved Neurocognitive Functions in Patients with Cardiac and Noncardiac Surgery Under General Anesthesia
Bibliographic record
Abstract
Abstract Objective : To analyse postoperative cognitive dysfunction’s (POCD) incidence and cognitive areas involved, in patients with cardiac and general surgery. Material and Methods : Prospective observational study on 130 patients undergoing general or heart surgery on cardiopulmonary bypass, under general anesthesia. Two groups, 65 members each. Group A had a heart surgery and group B a noncardiac surgery. The same type of anesthetic drugs were used. All patients completed the Montreal Cognitive Assesment (MoCA) questionnaire: preoperative, 24 hours after stopping any medicine acting on central nervous system and 7 days postoperative. We compared the MoCA scores obtained on different cognitive domains in this moments for each group of patients, for neurocognitive functions: visuo-spatial executive, naming, attention, verbal fluency, abstraction, recall, orientation, final score. We compared the scores between the two groups at 24 hours and 7 days postoperatively for the same domains. Results : POCD was found at 24 hours testing in both groups. At 7 days postoperatively POCD was not found in any of the groups. There was no statistically significant difference in total final score between two groups at 24 hours nor at 7 days postoperative testing. There are significant differences between the two groups, with lower score in cardiac group in 5 of 7 fields at 24 hours testing, with the persistence of difference in 2 of 7 fields at 7 days. Conclusions : Overall POCD was present at 24 hours but was not found at 7 days testing for none of the groups. POCD is present in some neurocognitive domains and this depends on surgery type.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 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".