Impairment of cognitive functions in patients with chronic thromboembolic pulmonary hypertension before and after surgical treatment
Bibliographic record
Abstract
OBJECTIVE: To study cognitive functions in patients with chronic thromboembolic pulmonary hypertension (CTEPH) before and in the long-term after pulmonary thromboendarterectomy and to study factors that negatively affect cognitive status. MATERIAL AND METHODS: One hundred and twenty-four patients with CTEPH were examined before and 6 months after surgery with an assessment of cognitive impairment using the Mini-Mental State Examination (MMSE). Multivariate regression analysis was used to identify factors affecting the MMSE indicators before and in the long-term postoperative periods. RESULTS: 0.001). A history of stroke, disability, stress (loss of spouse), and a high Charleson comorbidity index were independent factors affecting MMSE score before surgery. After surgery, the total MMSE score was influenced by a history of stroke, stress (loss of spouse), residual pulmonary hypertension and atrial fibrillation in the early postoperative period. CONCLUSION: Cognitive impairment in the form of mild dementia was observed in patients with CTEPH before surgery. Six months after the operation, an improvement in cognitive status was revealed, which corresponded to moderate cognitive impairment. At the same time, no complete recovery of cognitive functions was recorded. Patients with CTEPH still experienced the greatest difficulties in the following areas: concentration and counting, memory. A history of stroke, disability, stress (loss of spouse), and a high comorbidity index are associated with a decrease in MMSE scores before surgery. Six months after surgery, MMSE score was affected by a history of stroke, stress (loss of spouse), residual pulmonary hypertension and atrial fibrillation in the early postoperative period.
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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 | 0.001 | 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".