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A Pro-Inflammatory Biomarker-Profile Predicts Amputation-Free Survival in Patients with Severe Limb Ischemia

Hendrik Gremmels1, Martin Teraa2,3, Saskia C A de Jager4

  • 1Department of Nephrology and Hypertension, University Medical Center Utrecht, Utrecht, The Netherlands. h.gremmels@umcutrecht.nl.

Scientific Reports
|July 26, 2019
PubMed

Insights

Inflammatory biomarkers like IL-6 and IP-10 can predict major events, such as amputation or death, in patients with severe limb ischemia (SLI). These findings enable improved risk prediction models for SLI patients.

Area of Science:

  • Biomarkers
  • Vascular Medicine
  • Inflammation

Background:

  • Severe Limb Ischemia (SLI) presents a significant risk for amputation and mortality.
  • Identifying reliable biomarkers is crucial for predicting disease progression and patient outcomes in SLI.

Purpose of the Study:

  • To investigate a panel of serum biomarkers for predicting major adverse events in patients with established SLI.
  • To develop and validate a biomarker-based risk prediction model for SLI.

Main Methods:

  • Serum samples from 108 SLI patients (JUVENTAS cohort) were analyzed for 21 biomarkers.
  • Major events (amputation or death) were the primary outcome.
  • Results were validated in a secondary cohort of 146 patients using Cox regression and AUC analysis.

Main Results:

  • Elevated levels of inflammatory biomarkers IL-6, IL-8, GROα, and IP-10 were associated with major endpoints.
  • IL-6 and IP-10 were significant independent predictors of major events (aHRs ~1.4-1.5).
  • A prediction model using IL-6 and IP-10 achieved ~78% AUC in both cohorts, outperforming previous models.

Conclusions:

  • Specific inflammatory biomarkers, notably IL-6 and IP-10, effectively predict major adverse events in SLI.
  • These biomarkers facilitate the development of accurate, risk-prediction models for SLI patients.
  • This research offers a promising avenue for personalized risk assessment and management in SLI.

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