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Background <p>Multi-organ dysfunction syndrome (MODS) is a life-threatening complication in trauma patients that is often triggered by a dysregulated immune response.</p> Objective <p>We hypothesized that early dynamic changes in circulating cytokines, particularly interleukin-10 (IL-10), could help distinguish pathological immune responses leading to MODS from physiological responses associated with recovery. This study aimed to identify cytokine profiles predictive of MODS in the acute phase after trauma. Patients who were admitted to our regional trauma center between July 2022 and July 2023 were prospectively enrolled. Serum levels of interleukin (IL)-1β, IL-2, IL-4, IL-6, IL-8, IL-10, IL-12, interferon gamma, and tumor necrosis factor alpha were quantified from blood samples collected over 3 consecutive days. Cytokines, clinical parameters, and other laboratory parameters were analyzed to identify independent predictors of MODS.</p> Results <p>Eighty-seven patients were included in this study, with 20 patients developing MODS. The Injury Severity Score (ISS), IL-6, and IL-10 levels were identified as significant predictors of MODS. The optimal cutoff values were 20.5 for ISS, 159.0 ρg/mL for IL-6, and 172.6 ρg/mL for IL-10. Temporal trends indicated that IL-6 and IL-10 levels peaked on day 1 post-injury and gradually declined by day 3.</p> Conclusion <p>Serum levels of IL-6 and IL-10, along with the ISS, can serve as reliable biomarkers for predicting MODS in patients with trauma. While ISS is already a well-established tool in clinical practice, implementing IL-6 and IL-10 measurements will require developing cost-effective analytical techniques.</p>

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Comprehensive analysis of cytokines as predictors of multi-organ dysfunction syndrome in patients with trauma: a prospective observational study

  • 期刊论文

  • 发表日期：

    2025年6月13日

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  • In Sik Shin,
  • Myoung Jun Kim,
  • Md Habibur Rahman,
  • Cheol-Su Kim,
  • Kwangmin Kim

摘要

Background

Multi-organ dysfunction syndrome (MODS) is a life-threatening complication in trauma patients that is often triggered by a dysregulated immune response.

Objective

We hypothesized that early dynamic changes in circulating cytokines, particularly interleukin-10 (IL-10), could help distinguish pathological immune responses leading to MODS from physiological responses associated with recovery. This study aimed to identify cytokine profiles predictive of MODS in the acute phase after trauma. Patients who were admitted to our regional trauma center between July 2022 and July 2023 were prospectively enrolled. Serum levels of interleukin (IL)-1β, IL-2, IL-4, IL-6, IL-8, IL-10, IL-12, interferon gamma, and tumor necrosis factor alpha were quantified from blood samples collected over 3 consecutive days. Cytokines, clinical parameters, and other laboratory parameters were analyzed to identify independent predictors of MODS.

Results

Eighty-seven patients were included in this study, with 20 patients developing MODS. The Injury Severity Score (ISS), IL-6, and IL-10 levels were identified as significant predictors of MODS. The optimal cutoff values were 20.5 for ISS, 159.0 ρg/mL for IL-6, and 172.6 ρg/mL for IL-10. Temporal trends indicated that IL-6 and IL-10 levels peaked on day 1 post-injury and gradually declined by day 3.

Conclusion

Serum levels of IL-6 and IL-10, along with the ISS, can serve as reliable biomarkers for predicting MODS in patients with trauma. While ISS is already a well-established tool in clinical practice, implementing IL-6 and IL-10 measurements will require developing cost-effective analytical techniques.