Effects of parecoxib on postoperative cognitive dysfunction and serum levels of NSE and S100β in elderly patients undergoing surgery.
Bibliographic record
Abstract
OBJECTIVE: To investigate the effects of parecoxib on postoperative cognitive dysfunction, and serum levels of neuron-specific enolase (NSE) and S100β protein (S100β) in elderly patients undergoing surgery. PATIENTS AND METHODS: The retrospective cohort study method was used to collect the clinical data of 94 elderly patients who underwent elective orthopedic and general anesthesia surgery in our hospital from September 2020 to February 2022. 94 patients were divided into the control group (47 cases) and the study group (47 cases), according to different intervention methods. In the study group, 40 mg of parecoxib was injected intravenously into patients 30 min before the induction of anesthesia, and the patients in the control group were given the same dose of normal saline intravenously before the operation. The basic clinical data of the patients were collected. The levels of the indexes before operation and 6 hours after operation were compared between the two groups, including the Montreal Cognitive Scale (MoCA) score, inflammatory factor indicators [tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), C-reactive protein (CRP), interleukin-10 (IL-10), interleukin-1β (IL-1β), monocyte chemokine-1 (MCP-1), and inducible nitric oxide synthase (iNOS)], serum cortisol (CORT), beta-amyloid (β-AP), adiponectin (ADP), NSE, and S100β. RESULTS: No significant differences in the preoperative MoCA score, TNF-α, IL-6, CRP, IL-10, IL-1β, MCP-1, iNOS, CORT, β-AP, ADP, NSE, and S100β levels were observed between the two groups (p>0.05). The postoperative MoCA score in the study group was significantly higher than that in the control group (p<0.05). The postoperative levels of TNF-α, IL-6, CRP and IL-1β in the study group were significantly lower than those in the control group (p<0.05), and the postoperative levels of IL-10, MCP-1 and iNOS in the study group were significantly higher than those in the control group (p<0.05). CONCLUSIONS: Parecoxib can notably inhibit the levels of postoperative inflammatory cytokines, improve neurological dysfunction, and reduce the occurrence of postoperative cognitive dysfunction in patients. The contents of serum NSE and S100β have potential value in the diagnosis of postoperative cognitive dysfunction in elderly patients.
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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".