Structure of cognitive disorders and predictors of their occurrence in patients after cardiac surgery
Bibliographic record
Abstract
Objective — to determine the presence and severity of moderate cognitive disorders (CD) in patients before and after cardiac surgery in the early postoperative period Methods and subjects. 56 patients were examined, including 19 (33.9 %) men and 37 (66,1 %) women , mean age 60.86 ± 8.86. Cardiac surgery was performed for ischemic heart disease in 37 (66.1 %) patients, for valvular heart disease — in 19 (33.9 %, p = 0.02). Assessment of cognitive functions was performed before surgery, on the 3rd and 7th day of the postoperative period using the Montreal Cognitive Test. Results. Before surgery, most patients (75.0 %) had mild CRs, 5.4 % had moderate CRs (p <0.01), and 19.6 % had no CRs (p = 0.02). In general, the distribution by the severity of CR in the early postoperative period did not differ from that before surgery, but there were patients with severe CR (3.6 and 1.8 %, respectively, on the 3rd and 7th days, p = 0.05) ...In the structure of CD, on the 3rd day of the postoperative period, there was a significant decrease in visually constructive skills (4.07 versus 3.7; p < 0.001), a deterioration in the ability to consistently calculate (2.66 versus 2.45; p = 0.02), repetition phrases (1.16 versus 1.0; p = 0.02). On the 7th day of the postoperative period, there was a significant decrease in verbal speed (0.48 versus 0.32; p = 0.006) and an improvement in memory (1.79 versus 2.29; p = 0.01). Probable predictors of the onset of cognitive disorders in the early postoperative period are: a history of stroke — r = –0.282; p = 0.04. There was a correlation with the presence of atherosclerotic lesions of the coronary arteries according to coronary angiography (r = –0.259; p = 0.05), surgery performed under cardiopulmonary bypass (r = 0.29; p = 0.03), and a tendency towards statistical significance of correlation with the presence of signs of dyslipidemia according to lipid profile data (r = –0.227; p = 0.09). Conclusions. It was found that 75 % of patients had mild CR before surgery. The distribution according to the severity of CR in the early postoperative period differed from that before surgery by the appearance of patients with severe CR. In the CR structure, on the 3rd day of the postoperative period, a statistically significant decrease in visual‑constructive skills, a deterioration in the ability to consistently calculate and repeat a phrase were observed. On the 7th day, a statistically significant decrease in verbal speed and an improvement in memory were noted. Probable predictors of CR in the early postoperative period are a history of acute cerebrovascular accident, atherosclerotic lesion of the coronary arteries according to coronary angiography, surgery performed under cardiopulmonary bypass, the presence of signs of dyslipidemia according to lipid profile data.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".