Application of regional cerebral oxygen saturation monitoring with near-infrared spectroscopy in peri-anesthesia management of elderly hypertensive patients undergoing shoulder arthroscopic surgery.
Bibliographic record
Abstract
OBJECTIVE: ) monitoring with near-infrared spectroscopy in peri-anesthesia management of elderly hypertensive patients undergoing shoulder arthroscopic surgery. METHODS: was analyzed. Preoperative and postoperative Mini-Mental State Exam (MMSE), Montreal Cognitive Assessment (MoCA) scores, serum neuron-specific enolase (NSE) and s100β levels were compared between the two groups. The incidence of postoperative cognitive dysfunction (POCD) at 1-3 days was recorded. RESULTS: levels were positively correlated in the two groups (r>0, P<0.05). There were no significant differences in the MMSE or MoCA scores, NSE or s100β levels between the two groups before surgery (all P>0.05). After surgery, the MMSE and MoCA scores of the two groups were decreased (both P<0.05), while the NSE and s100β levels were increased (both P<0.05). The control group showed greater changes in the above four indexes (all P<0.05). The incidence of POCD in the observation group was lower than that of controls at 1, 2, and 3 days after surgery (all P<0.05). CONCLUSION: monitoring with near-infrared spectroscopy in peri-anesthesia management of elderly patients with hypertension undergoing shoulder arthroscopic surgery can effectively stabilize hemodynamics and reduce the incidence of postoperative POCD.
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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 | 0.000 | 0.000 |
| 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 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".