Comparison of the Predictive Value of GlycA and Other Biomarkers of Inflammation for Total Death, Incident Cardiovascular Events, Noncardiovascular and Noncancer Inflammatory-Related Events, and Total Cancer Events

被引:102
作者
Duprez, Daniel A. [1 ]
Otvos, James [2 ]
Sanchez, Otto A. [3 ]
Mackey, Rachel H. [4 ]
Tracy, Russell [5 ]
Jacobs, David R., Jr. [6 ]
机构
[1] Univ Minnesota, Sch Med, Cardiovasc Div, 420 Delaware St SE,MMC 508, Minneapolis, MN 55455 USA
[2] LabCorp, Raleigh, NC USA
[3] Univ Minnesota, Sch Med, Dept Internal Med, Div Nephrol, 420 Delaware St SE,MMC 508, Minneapolis, MN 55455 USA
[4] Univ Pittsburgh, Grad Sch Publ Hlth, Pittsburgh, PA USA
[5] Univ Vermont, Coll Med, Dept Pathol & Lab Med & Biochem, Colchester, VT USA
[6] Univ Minnesota, Sch Publ Hlth, Div Epidemiol & Community Hlth, 420 Delaware St SE,MMC 508, Minneapolis, MN 55455 USA
关键词
C-REACTIVE PROTEIN; CORONARY-HEART-DISEASE; INTERLEUKIN-6; LEVELS; RISK; ATHEROSCLEROSIS; COHORT; GLYCOSYLATION; MECHANISMS; PLASMA; MARKER;
D O I
10.1373/clinchem.2016.255828
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
BACKGROUND: GlycA is a biomarker that reflects integrated concentrations and glycosylation states of several acute-phase proteins. We studied the association of GlycA and inflammatory biomarkers with future death and disease. METHODS: A total of 6523 men and women in the Multi-Ethnic Study of Atherosclerosis who were free of overt cardiovascular disease (CVD) and in generally good health had a baseline blood sample taken. We assayed high-sensitivity C-reactive protein (hsCRP), interleukin-6 (IL-6), and D-dimer. A spectral decon-volution algorithm was used to quantify GlycA signal amplitudes from automated nuclear magnetic resonance (NMR) LipoProfile (R) test spectra. Median follow-up was 12.1 years. Among 4 primary outcomes, CVD events were adjudicated, death was by death certificate, and chronic inflammatory-related severe hospitalization and death (ChrIRD) and total cancer were classified using International Classification of Diseases (ICD) codes. We used Poisson regression to study baseline GlycA, hsCRP, IL-6, and D-dimer in relation to total death, CVD, ChrIRD, and total cancer. RESULTS: Relative risk per SD of GlycA, IL-6, and D-dimer for total death (n = 915); for total CVD(n = 922); and for ChrIRD (n = 1324) ranged from 1.05 to 1.20, independently of covariates. In contrast, prediction from hsCRP was statistically explained by adjustment for other inflammatory variables. Only GlycA was predictive for total cancer (n = 663). Women had 7% higher values of all inflammatory biomarkers than men and had a significantly lower GlycA prediction coefficient than men in predicting total cancer. CONCLUSIONS: The composite biomarker GlycA derived from NMR is associated with risk for total death, CVD, ChrIRD, and total cancer after adjustment for hsCRP, IL-6, and D-dimer. IL-6 and D-dimer contribute information independently of GlycA. (C) 2016 American Association for Clinical Chemistry
引用
收藏
页码:1020 / 1031
页数:12
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