Literature DB >> 27895145

Association between inflammatory biomarkers and all-cause, cardiovascular and cancer-related mortality.

Archana Singh-Manoux1, Martin J Shipley2, Joshua A Bell2, Marianne Canonico2, Alexis Elbaz2, Mika Kivimäki2.   

Abstract

BACKGROUND: The inflammatory biomarker α1-acid glycoprotein (AGP) was found to have the strongest association with 5-year mortality in a recent study of 106 biomarkers. We examined whether AGP is a better biomarker of mortality risk than the more widely used inflammatory biomarkers interleukin-6 (IL-6) and C-reactive protein (CRP).
METHODS: We analyzed data for 6545 men and women aged 45-69 (mean 55.7) years from the Whitehall II cohort study. We assayed AGP, IL-6 and CRP levels from fasting serum samples collected in 1997-1999. Mortality followup was until June 2015. Cox regression analysis was used to model associations of inflammatory biomarkers with all-cause, cardiovascular and cancer-related mortality.
RESULTS: Over the mean follow-up of 16.7 years, 736 deaths occurred, of which 181 were from cardiovascular disease and 347 from cancer. In the model adjusted for all covariates (age, sex, socioeconomic status, body mass index, health behaviours and chronic disease), AGP did not predict mortality beyond the first 5 years of follow-up; over this period, IL-6 and CRP had stronger associations with mortality. When we considered all covariates and biomarkers simultaneously, AGP no longer predicted all-cause mortality over the entire follow-up period (adjusted hazard ratio [HR] 0.99, 95% confidence interval [CI] 0.90-1.08). Only IL-6 predicted all-cause mortality (adjusted HR 1.22, 95% CI 1.12-1.33) and cancer-related mortality (adjusted HR 1.13, 95% CI 1.00-1.29) over the entire follow-up period, whereas CRP predicted only cardiovascular mortality (adjusted HR 1.30, 95% CI 1.06-1.61).
INTERPRETATION: Our findings suggest that AGP is not a better marker of short-or long-term mortality risk than the more commonly used biomarkers IL-6 and CRP.
© 2017 Canadian Medical Association or its licensors.

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Year:  2016        PMID: 27895145      PMCID: PMC5359103          DOI: 10.1503/cmaj.160313

Source DB:  PubMed          Journal:  CMAJ        ISSN: 0820-3946            Impact factor:   8.262


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