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Interleukin-18 Is a Strong Predictor of Cardiovascular Events in Elderly Men With the Metabolic Syndrome: Synergistic effect of inflammation and hyperglycemia

OBJECTIVE—The aim of this study was to investigate the role of inflammatory markers as potential predictors of cardiovascular events in subjects with and without the metabolic syndrome. RESEARCH DESIGN AND METHODS—This was a post hoc analysis from the Diet and Omega-3 Intervention Trial (DOIT), comp...

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Autores principales: Trøseid, Marius, Seljeflot, Ingebjørg, Hjerkinn, Elsa M., Arnesen, Harald
Formato: Texto
Lenguaje:English
Publicado: American Diabetes Association 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2646034/
https://www.ncbi.nlm.nih.gov/pubmed/19092166
http://dx.doi.org/10.2337/dc08-1710
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author Trøseid, Marius
Seljeflot, Ingebjørg
Hjerkinn, Elsa M.
Arnesen, Harald
author_facet Trøseid, Marius
Seljeflot, Ingebjørg
Hjerkinn, Elsa M.
Arnesen, Harald
author_sort Trøseid, Marius
collection PubMed
description OBJECTIVE—The aim of this study was to investigate the role of inflammatory markers as potential predictors of cardiovascular events in subjects with and without the metabolic syndrome. RESEARCH DESIGN AND METHODS—This was a post hoc analysis from the Diet and Omega-3 Intervention Trial (DOIT), comprising 563 elderly men with (n = 221) and without (n = 342) metabolic syndrome. Circulating inflammatory markers were measured. RESULTS—During 3 years, 68 cardiovascular events were recorded. In the total population, C-reactive protein (CRP) (P < 0.001), interleukin-18 (IL-18) (P = 0.008), and IL-6 (P = 0.003) were elevated in subjects with events. In subjects with metabolic syndrome, IL-18 was the strongest predictor (adjusted odds ratio 2.9 [95% CI 1.1–7.8]). In subjects without metabolic syndrome, only CRP seemed to be an independent predictor (3.3 [1.5–7.3]). There was a significant interaction between fasting glucose and IL-18 (P = 0.008) and IL-6 (P = 0.024) but not CRP. Elevated fasting glucose (>6.2 mmol/l) markedly increased the predictive power of inflammatory markers (IL-18: 5.5 [1.4–21.1], IL-6: 3.5 [1.0–11.8], and CRP: 3.5 [1.0–11.9]). For IL-18, there was a stepwise increase in event rate by quartiles of fasting glucose. CONCLUSIONS—IL-18 was an independent predictor of cardiovascular events in subjects with metabolic syndrome and even more so in the presence of elevated fasting glucose. Our findings suggest a mutually potentiating effect of hyperglycemia and inflammation in cardiovascular risk prediction.
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spelling pubmed-26460342010-03-01 Interleukin-18 Is a Strong Predictor of Cardiovascular Events in Elderly Men With the Metabolic Syndrome: Synergistic effect of inflammation and hyperglycemia Trøseid, Marius Seljeflot, Ingebjørg Hjerkinn, Elsa M. Arnesen, Harald Diabetes Care Cardiovascular and Metabolic Risk OBJECTIVE—The aim of this study was to investigate the role of inflammatory markers as potential predictors of cardiovascular events in subjects with and without the metabolic syndrome. RESEARCH DESIGN AND METHODS—This was a post hoc analysis from the Diet and Omega-3 Intervention Trial (DOIT), comprising 563 elderly men with (n = 221) and without (n = 342) metabolic syndrome. Circulating inflammatory markers were measured. RESULTS—During 3 years, 68 cardiovascular events were recorded. In the total population, C-reactive protein (CRP) (P < 0.001), interleukin-18 (IL-18) (P = 0.008), and IL-6 (P = 0.003) were elevated in subjects with events. In subjects with metabolic syndrome, IL-18 was the strongest predictor (adjusted odds ratio 2.9 [95% CI 1.1–7.8]). In subjects without metabolic syndrome, only CRP seemed to be an independent predictor (3.3 [1.5–7.3]). There was a significant interaction between fasting glucose and IL-18 (P = 0.008) and IL-6 (P = 0.024) but not CRP. Elevated fasting glucose (>6.2 mmol/l) markedly increased the predictive power of inflammatory markers (IL-18: 5.5 [1.4–21.1], IL-6: 3.5 [1.0–11.8], and CRP: 3.5 [1.0–11.9]). For IL-18, there was a stepwise increase in event rate by quartiles of fasting glucose. CONCLUSIONS—IL-18 was an independent predictor of cardiovascular events in subjects with metabolic syndrome and even more so in the presence of elevated fasting glucose. Our findings suggest a mutually potentiating effect of hyperglycemia and inflammation in cardiovascular risk prediction. American Diabetes Association 2009-03 /pmc/articles/PMC2646034/ /pubmed/19092166 http://dx.doi.org/10.2337/dc08-1710 Text en Copyright © 2009, American Diabetes Association Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. See http://creativecommons.org/licenses/by-nc-nd/3.0/ for details.
spellingShingle Cardiovascular and Metabolic Risk
Trøseid, Marius
Seljeflot, Ingebjørg
Hjerkinn, Elsa M.
Arnesen, Harald
Interleukin-18 Is a Strong Predictor of Cardiovascular Events in Elderly Men With the Metabolic Syndrome: Synergistic effect of inflammation and hyperglycemia
title Interleukin-18 Is a Strong Predictor of Cardiovascular Events in Elderly Men With the Metabolic Syndrome: Synergistic effect of inflammation and hyperglycemia
title_full Interleukin-18 Is a Strong Predictor of Cardiovascular Events in Elderly Men With the Metabolic Syndrome: Synergistic effect of inflammation and hyperglycemia
title_fullStr Interleukin-18 Is a Strong Predictor of Cardiovascular Events in Elderly Men With the Metabolic Syndrome: Synergistic effect of inflammation and hyperglycemia
title_full_unstemmed Interleukin-18 Is a Strong Predictor of Cardiovascular Events in Elderly Men With the Metabolic Syndrome: Synergistic effect of inflammation and hyperglycemia
title_short Interleukin-18 Is a Strong Predictor of Cardiovascular Events in Elderly Men With the Metabolic Syndrome: Synergistic effect of inflammation and hyperglycemia
title_sort interleukin-18 is a strong predictor of cardiovascular events in elderly men with the metabolic syndrome: synergistic effect of inflammation and hyperglycemia
topic Cardiovascular and Metabolic Risk
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2646034/
https://www.ncbi.nlm.nih.gov/pubmed/19092166
http://dx.doi.org/10.2337/dc08-1710
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