Predictive Value of Early Inflammatory Markers in Trauma Patients Based on Transfusion Status.
J Surg Res
; 291: 691-699, 2023 11.
Article
em En
| MEDLINE
| ID: mdl-37562231
INTRODUCTION: Seven key inflammatory biomarkers were recently found to be associated with the risk of mortality in a multicenter study of massively transfused patients. The aim of this prospective single-center study was to determine which of these early inflammatory markers could predict 30-d mortality among all critically injured trauma patients. METHODS: Serum samples were collected at 6, 24, and 72 h from 238 consecutive patients admitted to the intensive care unit following traumatic injury. Inflammatory markers syndecan-1, eotaxin, IL-1ra, IL-6, IL-8, IL-10, IP-10, and MCP-1 were analyzed via multiplex enzyme-linked immunosorbent assay. Subgroup analysis was performed for patients undergoing massive transfusion (≥5 red blood cells), submassive transfusion (1-4 red blood cells), or no transfusion during the first 4 h postinjury. The primary outcome of 30-d survival was modeled as a function of each biomarker and confounders using repeat measures logistic regression. RESULTS: Patients had a median age of 51.3 y [33.7, 70.2], 70.6% were male, 17.4% experienced penetrating trauma, and had a median injury severity score of 22 [14, 33]. IL-1ra, IL-8, IL-10, and MCP-1 were significantly increased during the first 72 h in nonsurvivors (n = 31). Elevated IL-1ra, IL-8, IL-10, and MCP-1 at 6 h postinjury were associated with 30-d mortality. By contrast, serum syndecan-1 and eotaxin levels were not associated with mortality at any time point. IL-8 and lactate were increased at 6 h in 30-d nonsurvivors for patients receiving submassive transfusion (n = 78). CONCLUSIONS: Early evaluations of IL-1ra, IL-8, IL-10, and IP-10 within 6 h of injury are useful predictors of 30-d mortality. Subgroup analysis suggests that transfusion status does not significantly affect early inflammatory markers. LEVEL OF EVIDENCE: Level III, prognostic/epidemiological.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Clinical_trials
/
Diagnostic_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Female
/
Humans
/
Male
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article