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


ABSTRACT: Patients with Severe Limb Ischemia (SLI) have a high risk of amputation and mortality. Here, we investigated a panel of serum biomarkers with the aim of identifying biomarkers for major events and mechanisms that contribute to disease progression in established SLI. A panel of biomarkers including GRO?, HGF, SCF, SCGF?, SDF1?, TRAIL, IL-6, IL-8, FGF?, GCSF, GMCSF, IP10, MCP1, PDGFbb, RANTES, TNF?, VEGF, sICAM, sVCAM, TM, and E-selectin was measured in serum samples from a subset (n?=?108) of the JUVENTAS cohort. The primary outcome was major events, defined as major amputation or death. The inflammatory biomarkers IL-6, IL-8, GRO? and IP-10 were significantly elevated in patients who reached a major endpoint. Results were validated in a secondary cohort (n?=?146). Cox regression showed that adjusted hazard ratios were 1.40 (95% CI: 1.15-1.70, p?=?0.0007) and 1.48 (95% CI 1.16-1.87, p?=?0.001) for IL-6 and IP-10 in a fully adjusted model containing both biomarkers. A prediction model using IL-6 and IP-10 showed predictive accuracy with an AUC of ~ 78% in both discovery and validation cohorts, which is higher than previously published models. We conclude that inflammatory biomarkers predict major events in patients with SLI and allow the creation of biomarker-based risk-prediction models.

SUBMITTER: Gremmels H 

PROVIDER: S-EPMC6656730 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

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

Gremmels Hendrik H   Teraa Martin M   de Jager Saskia C A SCA   Pasterkamp Gerard G   de Borst Gert J GJ   Verhaar Marianne C MC  

Scientific reports 20190724 1


Patients with Severe Limb Ischemia (SLI) have a high risk of amputation and mortality. Here, we investigated a panel of serum biomarkers with the aim of identifying biomarkers for major events and mechanisms that contribute to disease progression in established SLI. A panel of biomarkers including GROα, HGF, SCF, SCGFβ, SDF1α, TRAIL, IL-6, IL-8, FGFβ, GCSF, GMCSF, IP10, MCP1, PDGFbb, RANTES, TNFα, VEGF, sICAM, sVCAM, TM, and E-selectin was measured in serum samples from a subset (n = 108) of the  ...[more]

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