Association of Serum rheumatoid factor levels with cognitive impairment after acute ischemic stroke
Bibliographic record
Abstract
Background and Purpose: The effect of serum rheumatoid factor (RF) on post-stroke cognitive impairment remains unknown. We aimed to investigate the association of serum RF in the acute phase with cognitive impairment at 3 months after ischemic stroke onset.Methods: Our study was based on a random sample from the China Antihypertensive Trial in Acute Ischemic Stroke (CATIS), a total of 582 patients from 7 of 26 participating sites of the trial with serum RF levels were included in this analysis. Cognitive impairment was defined as a score of <27 for Mini-Mental State Examination (MMSE) or <25 for Montreal Cognitive Assessment (MoCA). Results: According to MMSE score, the multivariate adjusted odds ratio and 95% confidence interval (CI) of cognitive impairment for the highest tertile of serum RF was 1.79 (1.08-2.99) compared with the lowest tertile. Each standard deviation increase of log-transformed RF was associated with 33% (95% CI: 7u201366%) increased risk of cognitive impairment, and a linear association between serum RF and risk of post-stroke cognitive impairment was observed (P for linearity<0.01). Adding log-transformed RF to a model containing conventional risk factors improved the predictive power for post-stroke cognitive impairment (net reclassification improvement: 26.21%, P<0.01; integrated discrimination index: 1.24%, P=0.02). Similar significant findings were observed when cognitive function was defined by MoCA score.Conclusions: Elevated serum RF levels in the acute phase were independently associated with 3-month cognitive impairment among ischemic stroke patients. Further studies are needed to replicate our findings and to clarify the potential mechanisms.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.008 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.081 | 0.002 |
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; both teacher heads agree on what is shown here.
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".