Cognitive and psychoemotional impairment dynamics in patients with hemorrhagic hemispheric stroke at the early rehabilitation stage
Bibliographic record
Abstract
The aim of the study was to establish the dynamics of cognitive and psychoemotional disorders under comprehensive rehabilitation in patients with hemorrhagic hemispheric stroke (HHS) during the recovery period of the disease. 46 patients with HHS during the recovery period (31 males and 15 females) were examined on the 30th, 90th, and 180th day. For this purpose, the following modern clinical scales and tests were used: National Institutes of Health Stroke Scale (NIHSS), Modified Rankin Scale (mRS), Barthel Index (BI), Montreal Cognitive Assessment (MoCA), Mini-Mental State Examination (MMSE), “10 words remembering” test (by Luriya A.), memory self-evaluation scale, State-Trait Anxiety Inventory scale (STAI) and Beck's Depression Inventor (BDI). It was found that 89,13 % of patients with HHS had cognitive impairment. It was also determined signifi‑cant cognitive improvement during the recovery period of the disease. Additionally, the correlation analysis of values on the 30th day of the condition showed the credible impact of the neurological deficit severity by NIHSS on the MMSE, MoCA, and memory self-evaluation scale rates (p < 0.05). As well correlation between neurological impairment and Beck's somatic sings subscale was established (p < 0.05). It was additionally evaluated the impact of neurology deficit level on the BDI overall score (both subscales) on the 180th day of the disease (p < 0.05). It was estimated the age influenced on both the situational anxiety and patient gender on the personal anxiety level (p < 0.05). In addition, it was revealed the impact of lesion location on the presence and severity of depressive disorders (p < 0.05).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".