Sex- and Age-Related Differences in Post-Burn Pathophysiology
Bibliographic record
Abstract
OBJECTIVES: Sex and its effects on outcomes after burn are controversially discussed. In particular, the impact of sex on physiologic responses post-burn remains largely unknown. To bridge this knowledge gap, this study aimed to explore outcomes and the underlying pathophysiological responses in males and females across different age groups. DESIGN: Cohort study. SETTING: Tertiary burn center. PATIENTS: Adult burn patients (≥ 18 yr) admitted with an acute burn injury. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We included all patients (≥ 18 yr) admitted with acute burn injuries between 2006 and 2021. Patients were stratified based on sex assigned at birth and age group: adult (< 60 yr) vs. older adult (≥ 60 yr). Clinical laboratory measures and inflammatory markers were compared throughout hospitalization between male and female burn patients within each age group. Outcomes included 30-day mortality, in-hospital complications, organ biomarkers, and inflammatory cytokine responses. A total of 2321 patients were included. Adult females experienced greater mortality (1% vs. 2%; p < 0.05) and increased skin graft loss (5% vs. 9%; p < 0.05) compared with their male counterparts. Furthermore, among adults, female sex was an independent predictor of mortality in a multivariate model (odds ratio, 3.6; 95% CI, 1.3-9.6; p < 0.05). Adult females showed acute decreases in pro-inflammatory cytokines (interferon-γ, interleukin [IL]-6, IL-1β, tumor necrosis factor-α; p < 0.05). Interestingly, no differences in mortality or complications were observed between older adult males and females. Older adult males and females also showed similar inflammatory responses and limited differences in organ function. CONCLUSIONS: In this large cohort study, we observed that adult females show increased mortality compared with their male counterparts. Differences in inflammatory responses underlie this observation, contributing to the observed poor outcomes. Importantly, sex differences in post-burn responses appear to diminish with age, highlighting the importance of deepening our understanding of the underlying physiologic mechanisms to optimize patient care.
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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) | 0.001 | 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) | 0.000 | 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".