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Inflammation Biomarkers and Risk of All-Cause Mortality in the Reasons for Geographic and Racial Differences in Stroke Cohort
Author(s) -
Edmond K. Kabagambe,
Suzanne E. Judd,
Virginia J. Howard,
Neil A. Zakai,
Nancy S. Jenny,
Matthew M. Hsieh,
David G. Warnock,
Mary Cushman
Publication year - 2011
Publication title -
american journal of epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.33
H-Index - 256
eISSN - 1476-6256
pISSN - 0002-9262
DOI - 10.1093/aje/kwr085
Subject(s) - medicine , confidence interval , hazard ratio , cohort , waist , c reactive protein , white blood cell , cohort study , gastroenterology , inflammation , obesity
Inflammation biomarkers, including higher high-sensitivity C-reactive protein (hsCRP) levels, higher white blood cell (WBC) counts, and lower serum albumin levels, are associated with an increased risk of all-cause mortality. Many studies have examined these biomarkers individually, but less is known about their joint association with mortality. hsCRP, WBC count, and serum albumin were measured at baseline in the Reasons for Geographic and Racial Differences in Stroke Study cohort members, who were enrolled in 2003-2007. Over 4.5 years, there were 1,062 deaths in 17,845 participants. High-risk categories were defined as hsCRP or WBC levels above the 75th percentile (5.1 mg/L and 6.9 × 10(9) cells/L, respectively) and albumin levels below the 25th percentile (4.00 g/dL). The authors derived 4 groups that corresponded to 0 (n = 8,341), 1 (n = 6,277), 2 (n = 2,635), or 3 (n = 592) biomarkers in the high-risk category. After adjustment for age, sex, waist circumference, race, region, smoking, alcohol use, income, educational level, physical activity frequency, and medical history and compared with those with no biomarkers in the high-risk category, the hazard ratios for all-cause mortality for 1, 2, and 3 biomarkers in the high-risk category were 1.56 (95% confidence interval: 1.33, 1.82), 2.19 (95% confidence interval: 1.84, 2.62), and 2.96 (95% confidence interval: 2.30, 3.80), respectively (P(trend) < 0.0001). Adding the 3 inflammation biomarkers to a fully adjusted model improved risk discrimination by 23.7% (95% confidence interval: 9.3, 39.9). Measurement of more than 1 biomarker is more useful in risk prediction than single biomarkers.

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