Correlation between cognitive function and homocysteinemia in patients with depression after cerebral infarction
Bibliographic record
Abstract
Objective To explore the cognitive function and the level of serum homocysteine(Hcy) in patients with depression after cerebral infarction, and to analyze their correlation. Methods Fifty-two patients with cerebral infarction and 50 patients with depression after cerebral infarction were selected.The cognitive function of patients was evaluated by Montreal cognitive assessment(MoCA) score and event-related potentials P300.Hcy concentration was detected by enzyme-linked immunosorbent assay(ELISA), and the correlation between the cognitive function and the Hcy concentration was analyzed. Results Compared with the patients without depression after cerebral infarction(MoCA(25.02±6.12), latency of P300(317.00±28.87)ms, amplitued of P300(7.80±3.10)μV), the MoCA score of the patients with depression after cerebral infarction significantly decreased(20.92±6.23), the latency of P300((370.84±40.62)s) significantly prolonged and the amplitude of P300((5.70±2.13)μV) significantly decreased(all P<0.05). Compared with patients without depression after cerebral infarction(9/52, 17.3%), the percent of serum hyper-Hcy in the patients with depression after cerebral infarction(24/50, 48.0%) increased, and the difference was statistically significant (χ2=10.972, P<0.01). The level of Hcy in the patients with depression after cerebral infarction was negatively correlated with the score of MoCA (r=-0.675, P<0.05) and the latency of P300 (r=0.813, P<0.05), but negatively correlated with the amplitude of P300 (r=-0.725, P<0.05). Conclusion Patients with depression after cerebral infarction have different degrees of cognitive impairment, and increased Hcy may be one of the factors that cause cognitive impairment in patients with depression after cerebral infarction. Key words: Cerebral infarction; Depression; Homocysteine; Event-related potential P300; Correlation
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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 | 0.001 |
| 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 | 0.000 |
| 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".