Effect of dexmedetomidine on early cognitive dysfunction in elderly patients with radical gastrectomy
Bibliographic record
Abstract
Objective To investigate the effect of dexmedetomidine on the incidence of POCD and the inflammatory response of central nervous system in elderly patients with radical gastrectomy, so as to provide reference for the selection of POCD prophylaxis in elderly patients. Methods A total of 86 elderly patients aged 36-79 years with ASA grade I-III underwent radical gastrectomy with general anesthesia were enrolled.They were randomly divided into two groups using computer random software: dexmedetomidine group (D group) and saline group (S group), 43 patients in each group.MMSE score and MoCA score were recorded 1 day before anesthesia (T0), 6h after operation (T1), 24h after operation (T2) and 48h after operation (T3). Interleukin-1β (IL-1β), interleukin-6 (IL-6) and C-reactive protein (CRP) were measured at different time points.The incidence of hypotension and bradycardia was recorded. Results There were no significant differences in MMSE scores and MoCA scores between the two groups 1 day before anesthesia (t=0.356, 0.403, all P>0.05). The MMSE score and MoCA score of the D group were significantly higher than those of the S group at T1, T2 and T3 (t=5.998, 6.886, 5.943, 6.180, 6.947, 7.151, all P<0.05). The levels of IL-1β, IL-6 and CRP in the D group were significantly lower than those in the S group at T1, T2 and T3 (t=2.239, 2.731, 2.134, 15.47, 17.28, 12.93, 4.583, 6.444, 7.544, all P<0.05). Conclusion Dexmedetomidine can significantly reduce the risk of POCD in elderly patients with radical gastrectomy, and can inhibit the inflammatory response.It is worth to use in clinic. Key words: Gastrectomy; Cognitive disorders; Aged; Stomach neoplasms; Dexmedetomidine
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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 | 0.002 |
| 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".