Correlation Between the Warrior/Worrier Gene on Post Burn Pruritus and Scarring: A Prospective Cohort Study
Bibliographic record
Abstract
INTRODUCTION: Associations between genetic variation and clinical conditions suggest that single nucleotide polymorphisms (SNPs) might correlate with postburn outcomes. COMT modulates catecholamine metabolism, and polymorphisms within the rs4680 allele result in variable enzyme activity. Catechol-amines are known to modulate the inflammatory process and may affect scar formation. The aim of this study was to determine whether variants in the rs4680 SNP of the COMT gene are associated with post-burn pruritus and scarring. METHODS: Adult burn patients, admitted between 2007 and 2017, with deep partial-thickness burns or delayed healing provided blood samples for genotyp-ing and self-reported itch scores within 1 year of injury. Scarring was measured using the Vancouver Scar Scale (VSS). Itch scores ≥ 4 and VSS scores >7 were considered severe. Genomic deoxyribonucleic acid was genotyped for the rs4680 SNP using realtime polymerase chain reaction (PCR). RESULTS: Median itch and VSS scores were highest for GG homozygotes and lowest for AA homozygotes. This difference was statistically significant for VSS score (P < 0.0001) and approached significance for itch (P = 0.052). After accounting for confounding variables, including race/ethnicity, age, sex, and burn size, the GG homozygotes demonstrated worse scarring (odds ratio 1.88, P = 0.005) compared to AG heterozygotes whereas the AA homozygotes trended towards a protective effect against scarring (odds ratio 0.71, P = 0.10). itch did not demonstrate a statistically significant difference between rs4680 genotype. CONCLUSIONS: Our analysis identifies a trend between COMT genotype with scarring, with rs4680 genetic variation constituting an independent risk factor for VSS score.
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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 | 0.001 | 0.000 |
| 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 | 0.000 |
| 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".