Premorbid factors of early post-stroke cognitive impairment
Bibliographic record
Abstract
The aim of this study is to identify and substantiate early cognitive dysfunction in patients with brain damage in the acute period of ischemic stroke. Materials and research methods. The study included 140 elderly patients. The main group included 70 patients of Vascular Surgery Center with a diagnosis of ischemic stroke in the carotid pool, the control group consisted of 70 outpatients. Cognitive function and psycho-emotional background were assessed using the Montreal Cognitive Function Scale, tests for kinetic, constructive and ideation praxis, the Stroop test, the Boston Naming Test, the apathy rating scale, the Hospital Anxiety and Depression Scale, and the MFI-20 asthenia scale. Assessment of neuroimaging parameters was carried out usingcomputed tomography. Assessment of long-latency acoustic endogenous evoked potential P300 using the «oddball active» paradigm technique was used for neurophysiological examination. Research results. Ischemic stroke was more often detected in the parietal, frontal lobes and basal ganglia. Moderate cognitive impairment was detected in 57.5% of patients with stroke and 27.5% of the control group. Dementia was diagnosed in 30% of patients in the main group and 5% of the control group. In patients with IS indicators characterizing the executive function, praxis, speech, attention, memory, depression, and apathy were statistically significantly lower comparing with the control group. The analysis of neurophysiological data revealed a statistically significant prolongation of the latency of the P300 wave in all leads and a decrease in the amplitude of the P300 peak in leads Cz and C3 in patients of the main group. Conclusion. Within the framework of this study, significant factors in the development of early post-stroke cognitive impairment were established. Dysfunction in attention, executive function, episodic memory, and speech is the result of a combination of causes directly related to cerebrovascular disease and pre-stroke factors. The evoked potential method reflects the degree of cognitive decline and can be used as a method for assessing the effectiveness of cognitive rehabilitation in stroke patients.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 | 0.001 | 0.001 |
| 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".