Presence and Characteristics of Behavioral and Psychological Symptoms in Subacute Stroke Patients with Cognitive Impairment
Bibliographic record
Abstract
This retrospective cross-sectional study is aimed at investigating the prevalence and characteristics of behavioral and psychological symptoms (BPS) in subacute stroke patients with cognitive impairment. The Neuropsychiatric Inventory-Questionnaire (NPI-Q) was used to assess BPS. A total of 358 consecutive patients with first-ever stroke admitted to rehabilitation wards and with Mini-Mental State Examination (MMSE) scores<24 on admission were included. BPS was defined as a total NPI-Q Severity or Distress score≥1 . Differences between the severity and presence of BPS among patients with severe cognitive impairment (MMSE scores 0–17) and those with mild cognitive impairment (MMSE scores 18–23) were analyzed using the Mann–Whitney U test and chi-squared test, respectively. Eighty-one patients (mean (standard deviation) age, 73.5 (13.1) years) were enrolled for analysis. BPS were observed in 69.1% and 74.1% of patients when assessed with NPI-Q Severity and NPI-Q Distress, respectively. The most frequently observed BPS was apathy, followed by depression (approximately 44% and 40%, respectively). The severity and frequency of delusions, euphoria, apathy, and disinhibition were significantly higher in the severe cognitive impairment group than in the mild cognitive impairment group. However, the severity, distress, and frequency of depression were not dependent on the severity of cognitive impairment. The presence of BPS, especially apathy and depression, in subacute stroke patients with cognitive impairment is high. The severity and frequency of some BPS are higher in patients with severe cognitive impairment than in those with mild cognitive impairment. However, depression is highly prevalent among the patients regardless of the severity of cognitive impairment.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 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".