Association of COMT Val<sup>158</sup>Met Polymorphism With Delirium Risk and Outcomes After Traumatic Brain Injury
Bibliographic record
Abstract
Objective: The authors investigated the association of the catechol-o-methyltransferase (COMT) gene Val158Met polymorphism with delirium risk and functional and cognitive outcomes among patients with complicated mild to moderate traumatic brain injury (TBI). Methods: In a prospective observational cohort study, patients were monitored for occurrence of delirium during the first 4 days of admission by using the Confusion Assessment Method. Functional and cognitive outcomes were evaluated with the Glasgow Outcome on Discharge Scale and the Montreal Cognitive Assessment test, respectively. Eighty-nine patients were included in the study; of these, 17 (19%) were diagnosed with delirium. Results: The COMT Val158/Val158 polymorphism was associated with increased risk of delirium in multivariable regression analyses adjusted for alcohol misuse, history of neurological disorder, age, and admission Glasgow Coma Scale score (odds ratio=4.57, 95% CI=1.11, 18.9, p=0.036). The COMT Met158 allele was associated with better functional outcomes in univariate analysis (odds ratio=2.82, 95% CI=1.10, 7.27, p=0.031) but not in multivariable analysis (odds ratio=2.33, 95% CI=0.89, 6.12, p=0.085). Cognitive outcomes were not associated with the COMT Val158Met polymorphism in univariate regression analysis (p=0.390). Delirium was a significant predictor of worse functional and cognitive outcomes in multivariable regression analyses adjusted for other risk factors (odds ratio=0.04, 95% CI=0.01, 0.16, p<0.001, and β=–3.889, 95% CI=–7.55, –0.23, p=0.038, respectively). Conclusions: The COMT genotype is important in delirium risk and functional outcomes of patients with mild to moderate TBI. Whether the COMT genotype is associated with outcomes through incident delirium remains to be determined in larger studies.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".