The role of neurotrophic proteins as prognostic markers of neurological, functional and cognitive impairments in the acute period of cerebral infarction in patients with sleep apnea
Bibliographic record
Abstract
The objective: to evaluate the diagnostic efficacy of neurotrophic proteins BDNF, NGF, NT3 as prognostic markers of neurological, functional and cognitive impairments in the acute period of cerebral infarction in patients with and without sleep apnea. Materials and methods. 52 patients were examined in the first 72 hours from the onset of cerebral infarction (CI). The survey included an assessment on the NIHSS, mRs and MOSA scales (in the first 72 hours and after a month); study of the concentration of proteins BDNF, NGF, NT3 in plasma by enzyme immunoassay and respiratory polygraphy. The patients were divided into the main group (32 patients with sleep apnea (SA)) and the comparison group (20 patients without SA). The control group consisted of 32 patients without CI and SA. Results. In patients of main group at the end of the acute period of CI threshold concentrations of BDNF ≤1605.2 pg/ml (AUC - 80%), NGF ≤697.37 pg/ml (AUC - 78%) and NT3 ≤400.7 pg/ml (AUC - 70%) were established as effective prognostic markers of an unfavorable functional outcome (MRs≥3); BDNF ≤1994.8 pg/ml (AUC - 75%) - of severe neurological deficit (NIHSS> 4); BDNF ≤1724.7 pg/ml (AUC - 76%) and NGF ≤858.55 pg/ml (AUC - 73%) - of the presence of cognitive impairments (MOCA <26). In patients of the comparison group the threshold concentration of BDNF protein ≤1189.6 pg/ml was established as an effective prognostic marker of unfavorable functional outcome (AUC - 85%) and severe neurological deficit (AUC - 80%). Conclusion. Neurotrophic proteins have good indicators of diagnostic accuracy as prognostic markers of neurological, functional, and cognitive impairments at the end of the acute period of CI in patients with and without SA.
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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 | 0.001 |
| 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 | 0.000 |
| 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".