Chronic traumatic encephalopathy: predictors of the development of cognitive disorders and functional disability
Bibliographic record
Abstract
Background. Predicting the individual risk of developing cognitive impairment and functional disability in everyday life among patients with chronic traumatic encephalopathy (CTE) will allow timely and adequate treatment to prevent dementia. Therefore, the study aimed to develop a mathematical model for predicting the risk of cognitive disorders and functional disability in patients with CTE based on the analysis of polymorphic variants of the ACE, AT2R1, eNOS, ePON1, IL-1β, IL-10, TNF-α genes, as well as cofactors (gender, age group, follow-up, presence/absence of somatic comorbidity). Materials and methods. We examined 145 individuals with CTE who were undergoing inpatient treatment in the Communal Non-Profit Enterprise “Ternopil Regional Clinical Psychoneurological Hospital” in 2021–2022 and were included in the retrospective analysis. The molecular and genetic testing was performed for 26 patients. The molecular and genetic differentiation of the studied polymorphic variants of genes was carried out in the molecular and genetic laboratory of the State Institution “Reference Centre for Molecular Diagnostics of the Ministry of Health of Ukraine” in Kyiv. Cognitive functions were studied using the Montreal Cognitive Assessment (MoCA), activities of daily living — with the Barthel index. Statistical analysis was done using Microsoft Excel and Statistica 13.0 computer software. A logistic regression analysis was performed to determine the likelihood of cognitive impairment and functional disability in patients with CTE. Results. When analyzing polymorphic variants of the ACE, AT2R1, eNOS, ePON1, IL-1β, IL-10, TNF-α genes, as well as such cofactors as gender, age group, follow-up, presence/absence of somatic comorbidity in the context of the development of cognitive disorders in patients with CTE, it has been found that the I/D polymorphism of the ACE gene has the most significant prognostic value (in the presence of the D/D genotype, the probability of cognitive impairment is 83.33 %). At the same time, patients with CTE who were carriers of the D allele of the ACE gene had a significant decrease in the MoCA score compared to the group of those who didn’t carry this allele. Regarding the development of functional disability in patients with CTE, the C108T polymorphism of the PON1 gene has the most significant prognostic value (in the presence of the T/T genotype, the risk of functional disability is 41.49 %, with significantly lower Barthel index compared to the C/C homozygotes). Conclusions. It was found that the I/D polymorphism of the ACE gene and the C108T polymorphism of the PON1 gene are likely associated with the development of cognitive impairment and functional disability in patients with CTE that indicates the feasibility of further studies involving a larger sample of patients.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 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".