The role of the new coronavirus infection (COVID-19) in the progression and development of cerebrovascular diseases. A competent choice of pathogenic treatment is the key to success in treatment and prevention. An expert’s view from the ‘red zone’
Bibliographic record
Abstract
COVID-19 worsens the course of cerebrovascular diseases (CVD), including chronic cerebral ischaemia (CCI). The Actovegin drug, which has long been widely used in CCI treatment, has an antioxidant and endothelium protective effect. It makes sense to study the effect of Actovegin therapy on the clinical manifestations of CCI in patients with a recent experience of COVID-19. Objective: to evaluate Actovegin efficacy in the treatment of CCI in patients with a recent experience of COVID-19. Patients and methods. The study included 440 patients (234 female; 206 male) with a recent experience of COVID-19, suffering from CCI, their average age being 67.8 years (from 54 to 85 years). All patients were broken down into two groups of 220 people (the patients in Group 1 were administrated Actovegin, the ones in Group 2 – were not). All patients were followed up for 90 days; their condition was assessed by the severity of clinical manifestations of CCI, using special scales and questionnaires. Results and discussion. After 90 days of follow-up, the frequency of complaints of cognitive impairment, sleep disorder, dizziness, fatigue, emotional disorders, and headache in Group 1 was significantly lower than in Group 2 (p<0.05). According to Mini-Mental State Examination (MMSE), the Montreal Cognitive Assessment (MoCA), Multidimensional Fatigue Inventory (MFI-20), and Spiegel Sleep Questionnaire (SSQ), the average indicators improved significantly more in Group 1 than in Group 2 (p<0.05). The absence of quality of life impairment and their minimal severity were observed in Group 1 in 77.9%; in Group 2 – in 33.7% (p<0.001). Statistically significant differences between the groups of patients were also observed in relation to emotional state recovery according to the Wakefield Questionnaire and the Spielberger State Trait Anxiety inventory. Conclusion. The observational study demonstrated the efficacy of Actovegin in the treatment of main clinical manifestations of CCI in patients with recent COVID-19 experience.
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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 | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".