Dynamic changes of serum Tau proteins and their correlation with cognitive dysfunction in patients with acute traumatic brain injury
Bibliographic record
Abstract
Objective To investigate dynamic changes of serum Tau proteins and their correlation with cognitive dysfunction in patients with acute traumatic brain injury (TBI). Methods A total of 95 patients with acute TBI were retrospectively studied by case-control study. There were 61 males and 34 females, with age of 16-65 years [(40.7±13.6)years]. The Glasgow coma scale (GCS) was 3-8 points in 9 patients, 9-12 points in 11, and 13-15 points in 75. A total of 30 healthy physical examinees were recruited as control group. The levels of Tau proteins were measured at days 1, 3, 5, 7 and 14 after TBI. The cognitive dysfunction was evaluated by the Montreal Cognitive Assessment (MoCA) score at 6 months after injury. The correlation between Tau protein levels at different time points and MoCA was determined. Results The serum Tau proteins of TBI group was significantly higher than that of control group at all time points (P<0.05). In TBI group, 39 (41%) out of 95 patients developed cognitive dysfunction assessed by MoCA scale. The main manifestations of cognitive dysfunction were the defects in visual spatial and acting function, delayed memory, language, abstract, attention and calculation, with statistical significance compared with control group (allP<0.05). The serum Tau proteins of patients with cognitive dysfunction were significantly higher than those without cognitive dysfunction at all time points after TBI (P<0.05). Tau proteins at days 1, 3, 5 after TBI was significantly correlated with cognitive dysfunction at 6 months after TBI (P<0.05). Conclusions The levels of serum Tau proteins show a significant increase after TBI, the early changes of which are statistically related to cognitive dysfunction. The early changes of serum Tau protein after TBI can be used as a reliable biomarker for early prediction of cognitive function prognosis. Key words: Craniocerebral trauma; Tau protein; Cognitive dysfunction
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".