Metabolic syndrome is associated with cognitive impairment after transient ischemic attack/mild stroke, but does not affect cognitive recovery in short term
Bibliographic record
Abstract
The metabolic syndrome (MetS) is a cluster of risk factors for cognitive impairment. We aimed to investigate the association between MetS and risk of persistent cognitive impairment in patients with a transient ischemic attack (TIA) or mild ischemic stroke. This is a prospective and observational study in consecutive patients with first-ever TIA or mild stroke (National Institutes of Health Stroke Scale score ≤ 6). Patients underwent Montreal cognitive assessment (MoCA) at hospital admission and day 30 after discharge. We defined cognitive impairment as a MoCA score of ≤26. Persistent cognitive impairment was defined as baseline cognitive impairment and an increase of <2 point or decrease in MoCA score at 1 month after discharge. Three hundred eleven eligible patients were enrolled, aged 21-80 years, and mean age was 61.87 ± 9.643 years and 211 patients were males (70.1%). Cognitive impairments were present in 166 (53.4%) patients at admission. The cognitive impairment rate was significantly higher in MetS patients than those without MetS both at admission and day 30 after discharge (66.1% vs 33.6%, P < 0.001 and 56.6% vs 27.9%, P < 0.001). In logistic regression analysis, MetS, hyperglycemia, hypertension, dyslipidemia, and obesity had no significant interaction with persistent cognitive impairment. However, hypertension had a tendency to be a predictor of persistent cognitive impairment, although this tendency had no statistical significance (odds ratio = 2.545, 95% confidence interval 0.872, 7.430, P = 0.0874). Baseline MetS is associated with the risk of cognitive impairment, but MetS does not affect short-term cognitive recovery from cognitively impaired in patients with TIA/mild stroke.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".