Plasma Human Cartilage Glycoprotein‐39 and Cognitive Impairment After Acute Ischemic Stroke
Bibliographic record
Abstract
Background Our study aimed at evaluating the association between plasma human cartilage glycoprotein‐39 (YKL‐40) and cognitive impairment at 3 months among patients with acute ischemic stroke. Methods and Results Plasma YKL‐40 levels were measured in 604 participants from the China Antihypertensive Trial in Acute Ischemic Stroke. Cognitive impairment outcomes were assessed at 3 months poststroke using the Mini‐Mental State Examination and the Montreal Cognitive Assessment. According to the Mini‐Mental State Examination score, patients in the highest quartile of YKL‐40 had a 2.01‐fold (95% CI, 1.23–3.29; P for trend=0.009) risk of poststroke cognitive impairment compared with those in the lowest quartile. Each 1 SD difference of logarithm‐transformed YKL‐40 was associated with a 28% (95% CI, 7–53) increased risk for the outcome. The multiple‐adjusted spline regression model confirmed dose–response relationships between YKL‐40 and poststroke cognitive impairment ( P for linearity=0.01). Adding YKL‐40 to a model containing conventional risk factors significantly improved the discriminatory power (area under the receiver operating characteristic curve improved by 0.02, P =0.03). When cognitive impairment was defined using the Montreal Cognitive Assessment score, similar findings were observed. Conclusions Elevated YKL‐40 levels were associated with an increased risk of cognitive impairment at 3 months among patients with acute ischemic stroke. Registration URL: clinicaltrials.gov ; Unique Identifier: NCT01840072.
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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) | 0.000 | 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".