APOE ε2 is associated with reduced risk of early post-stroke cognitive impairment but not with long-term functional outcome
Bibliographic record
Abstract
BACKGROUND: The associations between APOE genotype and early cognitive impairment and long-term functional prognosis after acute ischemic stroke (AIS) are uncertain. OBJECTIVE: To investigate the associations between APOE genotype and early cognitive impairment and long-term functional prognosis after AIS. METHODS: Our study was a single-center, prospective cohort study, that included 109 patients with AIS. At baseline, APOE genotype, cognition and white matter hyperintensities (WMH) were assessed within 2 weeks of stroke onset. At 3 months and 18 months, the modified Rankin scale (mRS) was used to assess the functional outcome after stroke. RESULTS: ε2 carriers had better cognitive performance than ε2 noncarriers did in the Montreal Cognitive Assessment (MoCA, p = 0.003) and the Trail Making Test (TMT, p = 0.038). Multivariate logistic regression analysis revealed that ε2 was an independent protective factor for early post-stroke cognitive impairment (OR 0.213, 95% CI 0.055–0.820), whereas ε4 was not associated with early post-stroke cognitive impairment (OR 2.582, 95% CI 0.314–21.219). ε2 had no significant effect on WMH, whereas ε4 aggravated WMH, especially in the deep white matter (DWM). No significant interaction effect between the Fazekas score and ε2 on early post-stroke cognitive impairment was found. Female sex (OR 7.081, 95% CI 2.531–19.813), admission NIHSS score (OR 1.265, 95% CI 1.062–1.507), and DWM Fazekas score (OR 2.224, 95% CI 1.106–4.469) were independent risk factors for long-term unfavorable prognosis after ischemic stroke. CONCLUSION: ε2 was associated with reduced risk of early post-stroke cognitive impairment, but not with the favorable long-term functional prognosis after stroke.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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".