Predictive value of early MoCA score combined with serum S100 protein and 25⁃hydroxyvitamin D3 levels on secondary cognitive dysfunction in patients with cerebral infarction
Bibliographic record
Abstract
Objective To explore the early Montreal Cognitive Assessment（MoCA）score and serum levels of S100 protein and 25 ⁃ hydroxyvitamin D3［25（OH）D3］in patients with cerebral infarction who had secondary cognitive dysfunction，and to analyze the predictive value of these three factors for secondary cognitive dysfunction in patients with cerebral infarction. Methods A total of 60 patients with cerebral infarction treated at Affiliated Changshu Hospital of Nantong University from March to June 2023 were selected. Patients were followed for 6 months and divided into two groups based on the presence of secondary cognitive dysfunction：the occurrence group（26 cases）and the non ⁃occurrence group（34 cases）. Early MoCA scores，serum levels of S100 protein，25（OH）D3，C⁃reactive protein（CRP），homocysteine（Hcy），and serum creatinine（Scr）were compared between the two groups. Multivariate logistic regression analysis was conducted to determine the influencing factors of secondary cognitive dysfunction in patients with cerebral infarction，and receiver operating characteristic（ROC）curve analysis was performed to assess predictive value of each index for cognitive dysfunction. Results Compared with the non⁃occurrence group，patients in the occurrence group had higher level of serum S100 protein［（0.62±0.16）μg/L vs（0.41±0.10）μg/L，t=6.233，P<0.01］and lower level of 25（OH）D3［（13.73±2.12）ng/mL vs（18.34±2.36）ng/mL，t=7.831，P<0.01］. Multivariate logistic regression analysis showed that high levels of CRP，Hcy and S100 protein，and lesions located in functional areas were risk factors for secondary cognitive dysfunction in patients with cerebral infarction，while high early MoCA scores and high 25（OH）D3 levels were protective factors（P<0.05）. ROC curve analysis indicated that the area under curve（AUC），specificity，and sensitivity of the combined detection were the highest among the single and combined detection of the three indicators.Conclusion Early MoCA scores，CRP，Hcy，S100 protein，and 25（OH）D3 are associated with secondary cognitive dysfunction in patients with cerebral infarction. Early MoCA scores combined with serum S100 protein and 25（OH）D3 measurements have certain predictive value for secondary cognitive dysfunction in these patients.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".