Нейровегетативные и когнитивные нарушения, ассоциированные с тревогой у пациентов среднего возраста с цереброваскулярными заболеваниями
Bibliographic record
Abstract
The objective : analysis of the treatment efficacy and safety of neurovegetative and cognitive impairments associated with anxiety in middle-aged patients with underlying cerebrovascular diseases (CVD) by means of Adaptol® medication. Patients and methods . There were examined 60 patients, aged 42 to 58, having neurovegetative as well as light and mild cognitive impairments with underlying anxiety and depressive disorders (30 patients – main group, treatment with Adaptol® administration, 30 patients – control group: standard treatment without Adaptol® administration). The study of cognitive, vegetative and neuropsychological disorders was performed with the use of clinical scales. We determined the cortisol levels: before the treatment,on the 7th day of treatment and after this treatment. Results . It was determined that the patients with chronic cerebrovascular diseases CVD of young and middle-age, have mild to moderate cognitive impairments with underlying vegetative and anxiety disorders. Revealed impairments are corrected well by administering promptly of antihypertensive, metabolic, lipid lowering, and glucose–lowering therapy and also by means of minor tranquilizer Adaptol® produced by Olaynfarm company, at the dose of 300 mg twice a day for 28 days period. The treatment resulted in a statistically significant decrease of autonomic dysfunction, situational and personal anxiety and in the improved cognitive functions according to MoCa scale in patients taking Adaptol® in comparison to the data before the treatment. The level of cortisol in the blood plasma decreased gradually after 7 days of treatment and on the 28th day reached a statistically significant difference (p<0,05) when we compared the patients’ baseline parameters in the main group who received Adaptol® to those ones of the control group patients. Conclusions . Patients with early signs of chronic CVD were diagnosed with cognitive and anxiety disorders with underlying neuroveg etative syndrome which required treatment. Minor tranquilizer Adaptol® produced by Olaynfarm company is recommended for treatment of psycho emotional disorders in middle aged patients with underlying neurovegetative syndrome as a part of an anxiety disorder.
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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 | 0.001 | 0.000 |
| 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) | 0.003 | 0.001 |
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".