Clinical, neurological, laboratory and neuropsychological features of the course of cerebrovascular diseases in patients infected with SARS-CoV-2
Bibliographic record
Abstract
The rapid global spread of the COVID-19 virus has caused an unprecedented pandemic, in the conditions of which a significant number of pathological consequences of this disease have appeared. In particular, COVID-19 affected the course of cerebrovascular disease, the consequences of which cause disorders of the normal functioning of the brain. Therefore, the aim of the study was to improve the diagnosis of cerebrovascular disease in patients infected with SARS-CoV-2 by studying clinical, neurological, laboratory and neuropsychological indicators. The trial uses Beck's Anxiety Inventory, Hamilton Depression Rating Scale; neuropsychological tests – Mina Mental State Examination, Montreal Cognitive Assessment; clinical – neurological status; laboratory – complete blood count, erythrocyte sedimentation rate), C-reactive protein, D-dimer, indicators of the blood coagulation system, procalcitonin; polymerase chain reaction, a test for the detection of ribonucleic acid of the COVID-19 virus; statistical. The revealed results indicate deviations from the norm of most indicators in patients infected with SARS-CoV-2 in particular such as leukocytes (t=3.18, p≤0.01), lymphocytes (t=3.83, p≤0.01), band neutrophils (t=2.33, p≤0.05), segmented neutrophils (t=2.29, p≤0.05), erythrocyte sedimentation rate (t=2.17, p≤0.05), platelets (t =2.86, p≤0.01), prothrombin index (t=3.17, p≤0.01), D-dimer (t=2.11, p≤0.05), fibrinogen (t=2 .53, p≤0.05), C-reactive protein (t=2.97, p≤0.01), procalcitonin (t=2.64, p≤0.05). Patients with a history of SARS-CoV-2 had significantly lower indicators of cognitive (t=-2.17, p≤0.05), visuospatial function (t=-2.84, p≤0.01), as well as a higher level of depression (t=2.87, p≤0.01) than patients who did not suffer from COVID-19. No statistical differences were found in terms of anxiety in both groups. A direct correlation was established between the level of leukocytes and cognitive functions (r=0.477, p≤0.01) and also visuospatial function (r=0.591, p≤0.05). An inverse correlation between procalcitonin level and mental status was also established (r=-0.622, p≤0.01). The conducted study proved the statistical significance of clinical-neurological, laboratory and neuropsychological indicators of patients with cerebrovascular disease infected with SARS-CoV-2.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".