Effect of Shenmai injection on postoperative cognitive function in patients undergoing cardiac valve replacement with cardiopulmonary bypass
Bibliographic record
Abstract
Objective To investigate the effect of Shenmai injection (SMI) on postoperative cognitive function in patients undergoing cardiac valve replacement with cardiopulmonary bypass (CPB).Methods Forty ASA Ⅱl or Ⅲ patients (NYHA Ⅱ or Ⅲ),with body mass index of 18-28 kg/m2,with the Montreal Cognitive Assessment (MoCA) scores≥ 26,undergoing cardiac valve replacement with CPB,were randomly divided into control group (group C) and SMI group (group S).After induction of anesthesia,SMI 0.6 ml/kg (in 250 ml of normal saline) was infused intravenously in group S,while the equival volume of normal saline was given in group C,and the infusion was completed before CPB.Aortic clamping time,CPB time,duration of anesthesia and consumption of anesthetics were recorded.MoCA scores were assessed on day 3 before surgery and at days 3 and 7 and 14d after surgery.The patients were diagnosed as having postoperative cognitive dysfunction (POCD) when MoCA scores ＜ 26.POCD was recorded within 14 d after surgery.Results There was no significant difference in the aortic clamping time,CPB time,duration of anesthesia and consumption of anesthetics between the two groups (P＞ 0.05).MoCA scores were lower on days 3 and 7 after surgery in group C and on day 3 after surgery in group S than those on day 3 before surgery (P ＜ 0.01).Compared with group C,MoCA scores were increased on days 3 and 7 after surgery and the incidence of POCD was decreased in group S (P ＜ 0.05 or 0.01).Conclusion SMIcan improve the postoperative cognitive function in patients undergoing cardiac valve replacement with CPB. Key words: Drugs, Chinese herbal; Cardiopulmonary bypass; Cognition disorders; Postoperative complications
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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 | 0.001 |
| 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".