Journal
CLINICA CHIMICA ACTA
Volume 463, Issue -, Pages 129-137Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.cca.2016.10.019
Keywords
Analytical variation; Biomarker variability; Hispanics
Categories
Funding
- National Heart, Lung, and Blood Institute
- University of Miami
- Albert Einstein College of Medicine
- Northwestern University
- San Diego State University
- National Center on Minority Health and Health Disparities
- National Institute of Deafness and Other Communications Disorders
- National Institute of Dental and Craniofacial Research
- National Institute of Diabetes and Digestive and Kidney Diseases
- National Institute of Neurological Disorders and Stroke
- Office of Dietary Supplements
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Background: Biomarker variability, which includes within-individual variability (CVI), between-individual variability (CVG) and methodological variability (CVP + A) is an important determinant of our ability to detect biomarker-disease associations. Estimates of CVI and CVG may be population specific and little data exists on biomarker variability in diverse Hispanic populations. Hence, we evaluated all 3 components of biomarker variability in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) using repeat blood collections (n = 58) and duplicate blood measurements (n = 761-929 depending on the biomarker). Methods: We estimated the index of individuality (II) ((CVI + CVP + A) / CVG) for 41 analytes and evaluated differences in the II across sexes and age groups. Results: Biomarkers such as fasting glucose, triglycerides and ferritin had substantially higher inter-individual variability and lower II in HCHS/SOL as compared to the published literature. We also found significant sex-specific differences in the II for neutrophil count, platelet count, hemoglobin, % eosinophils and fasting glucose. The II for fasting insulin, post oral glucose tolerance test glucose and cystatin C was significantly higher among the 18-44 y age group as compared to the 45 + y age group. Conclusions: The implications of these findings for determining biomarker-disease associations in Hispanic populations need to be evaluated in future studies. (C) 2016 Elsevier B.V. All rights reserved.
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