The evaluation of cognitive impairment and analysis of risk factors for stroke recurrence in elderly patients with minor ischemic stroke
Bibliographic record
Abstract
Objective To evaluate the cognitive impairment in elderly patients with minor ischemic stroke and to analyze risk factors for stroke recurrence. Methods This was a retrospective case-control study.Ninety-five elderly patients with acute ischemic stroke hospitalized in the neurology department of Second People's Hospital of Liaocheng were enrolled from January 2016 to January 2017.Based on the National Institutes of Health Stroke Scale(NIHSS), all cases were divided into the minor stroke group(NIHSS score≤3, n=62)and the medium-severe stroke group(NIHSS score>3, n=33). After 12-month follow-up, the NIHSS, modified Rankin scale(mRS)and Montreal cognitive assessment(MoCA)were used to evaluate the study subjects. Results Of the 95 patients, there were 62 males(65.3%)and 33 females(34.7%), with age of(68.3±6.7)years.No significant differences were found in baseline characteristics of age, male ratio, subtypes and history between two groups(all P>0.05). But, the treatment rate of intravenous thrombolysis was lower in minor stroke group than in medium-severe stroke group[6.5%(4 cases)vs.42.4%(14 cases)(P 0.05), while the rate of post stroke depression had a significant difference between two groups(P<0.05). Furthermore, there was lower rate of mortality and stroke recurrence in the minor stroke group than in the medium-severe group(0.0% or 0/62 vs.30.3% or 10/33, and 21.0% or 13/62 vs.42.4% or 14/33, P<0.05). Cox proportional hazard model showed that baseline NIHSS score, diabetes and stroke history were the risk factors for stroke recurrence in patients with minor stroke(P<0.05). Conclusions The treatment rate of intravenous thrombolysis with rt-PA, mortality rate and stroke recurrence rate are lower in patients with minor stroke than in patients with medium-severe stroke, while the incidence of post stroke cognitive impairment is high.High score of baseline NIHSS, diabetes and stroke history are risk factors for stroke recurrence in elderly patients with minor stroke. Key words: Brain ischemic; Stroke; Cognitive impairment; Risk factor
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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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".