A Direct Correlation between Red Blood Cell Indices and Cognitive Impairment After Aneurysmal Subarachnoid Hemorrhage (aSAH)
Bibliographic record
Abstract
BACKGROUND: Cognitive impairment can occur after aneurysmal subarachnoid hemorrhage (aSAH) though it commonly tends to be neglected. Red blood cell (RBC) indices are associated with long-term functional outcomes, while it is unclear whether RBC indices could be a potential predictor of cognitive decline after aSAH. We aimed to investigate the association between RBC indices and post-aSAH cognitive impairment at 1 year. METHODS: Patients with aSAH received neuropsychological test by the Montreal Cognitive Assessment (MoCA) and underwent serum and cerebrospinal fluid (CSF) samples test. To determine the association between RBC indices and cognitive impairment after acute aSAH, we adjusted for demographic and vascular risk factors using multivariate logistic regression analysis. RESULTS: Of the 126 patients included in this study, 33% (42/126) of them were diagnosed with cognitive impairment (MoCA＜26). After adjustment for potential confounders, increased mean corpuscular volume (MCV) (OR: 1.36, 95%CI: 1.19-1.55) and mean corpuscular hemoglobin (MCH) (OR: 1.61, 95%CI: 1.25-2.08), reflecting systemic iron status, are more likely to be associated with cognitive impairment after aSAH. CONCLUSION: In this aSAH population, our data shows the positive association between MCH and MCV and cognitive impairment at 1 year.
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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 | 0.001 |
| 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".