Cognitive dysfunction after on-pump Coronary Artery Bypass Grafting (CABG) in a tertiary university hospital – a prevalence study
Bibliographic record
Abstract
Postoperative cognitive dysfunction (POCD) was a common complication of onpump coronary artery bypass grafting (CABG) which could reduce the quality of life. We investigated the prevalence and perioperative risk factors associated with POCD after elective CABG surgery. In this prospective cross-sectional study, 38 patients were recruited and their cognitive function was assessed using Montreal Cognitive Assessment (MoCA) at preoperative, 7th and 30th days, postoperatively. A total of 34 patients completed the study with four dropouts due to post-operative death.Prevalence of POCD on the 7th day and 30th days were comparable at 41% and 26.4%, respectively. The preoperative mean MoCA scoring improved significantly in patients with POCD on the 7th and 30th day after CABG surgery (24.68 + 3.57 vs 25.06 + 3.73 vs 25.88 + 4.00, p-value 0.044). Higher age was correlated with a reduction in mean MoCA score and increased risk of POCD detected on the 7th and 30th day postoperatively (Rs -0.451 and -0.359, p-value 0.007 and 0.037, respectively). Patients with abnormal lung function tests had a significant reduction of MoCA scoring at preoperative and lower improvement score postoperatively, compared with normal lung function test patients (p-value 0.013). In conclusion, POCD after on-pump CABG surgery occured in about one-third of the patient and improved over time. Increasing age and abnormal preoperative lung function tests were identified as the risk factor for POCD. Abnormal lung function test was associated with a lesser one-month cognitive improvement after CABG.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".