ArticleInflammation research : official journal of the European Histamine Research Society ... [et al.]2026
Longitudinal biomarker trajectories and their prognostic utility for 21-day mortality in burn patients with sepsis: a retrospective cohort study.
Article in Inflammation research : official journal of the European Histamine Research Society ... [et al.], 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Infections in Burn Patients: Pathophysiology, Prevention, and Contemporary Therapeutic Strategies in the Era of Antimicrobial Resistance.Infectious diseases and therapy · 2026Review
- Risk factors and a diagnostic nomogram for early prediction of gram-positive coccal etiology in spontaneous spinal infection.Infection · 2026Article
- Dynamic risk stratification in burn sepsis: methodological considerations and path forward.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026Article
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Abstract
objectiveTo characterize the longitudinal trajectories of multi-category biomarkers and evaluate their association with 21-day all-cause mortality in critically ill burn patients with sepsis.
methodsIn this retrospective single-center cohort study, we analyzed 943 adult burn patients with sepsis, defined per Sepsis-3.0 criteria. Serial measurements of 15 biomarkers across nutritional, immunoglobulin, lymphocyte subset, inflammatory, and other categories were collected over 21 days. We employed linear mixed-effects models (LME) to compare trajectories between survivors and non-survivors, Cox regression to assess associations with mortality, time-dependent ROC to evaluate predictive performance, and k-means clustering to identify patient phenotypes based on integrated ALB, IL-6, and IgG trajectories.
resultsThe 21-day mortality was 17.92%. LME revealed significantly different trajectories for 11 biomarkers between survivors and non-survivors (P < 0.05). Univariate Cox analysis identified multiple significant biomarkers, with transferrin (HR = 0.985, P = 6.84 × 10⁻
conclusionsThe dynamic patterns of multi-category biomarkers are strongly associated with short-term survival in burn sepsis. While burn severity is a dominant baseline risk factor, longitudinal trajectory analysis captures the essence of the host's recovery or failure, effectively stratifying patients into prognostically distinct subgroups. This trajectory-based phenotyping highlights the potential of monitoring the host response over time to improve risk assessment and guide personalized management.
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