Literature DB >> 25472916

Validation and modification of dried blood spot-based glycosylated hemoglobin assay for the longitudinal aging study in India.

Peifeng Hu1, Michael Edenfield2, Alan Potter2, Varsha Kale3, Arun Risbud3, Sharon Williams4, Jinkook Lee5,6, David E Bloom7, Eileen Crimmins5, Teresa Seeman1.   

Abstract

OBJECTIVES: This study aims to validate a modified dried blood spot (DBS)-based glycosylated hemoglobin (HbA1c) assay protocol, after a pretest in India showed poor correlation between the original DBS-based protocol and venous results.
METHODS: The original protocol was tested on different chemistry analyzers and then simplified at the University of Washington (UW). A second pretest was conducted in India to validate the modified assay protocol, using 44 quality control specimens.
RESULTS: Data from UW indicated that, using the original protocol, the correlation coefficients between DBS and venous results were above 0.98 on both Bio-Rad and Olympus chemistry analyzers. The protocol worked equally well on filter paper, with or without pre-treatment, and when the recommended amount of blood spot material, or less, was used. A second pretest of the modified protocol confirmed that DBS-based levels from both Olympus and Roche chemistry analyzers were well correlated with DBS results from UW (correlation coefficients were above 0.96), as well as with venous values (correlation coefficients were above 0.94).
CONCLUSIONS: The DBS-based HbA1c values are highly correlated with venous results. The pre-treatment of filter paper does not appear to be necessary. The poor results from the first pretest are probably due to factors unrelated to the protocol, such as problems with the chemistry analyzer or assay reagents.
© 2015 Wiley Periodicals, Inc.

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Year:  2014        PMID: 25472916      PMCID: PMC4454625          DOI: 10.1002/ajhb.22664

Source DB:  PubMed          Journal:  Am J Hum Biol        ISSN: 1042-0533            Impact factor:   1.937


  12 in total

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Review 2.  What a drop can do: dried blood spots as a minimally invasive method for integrating biomarkers into population-based research.

Authors:  Thomas W McDade; Sharon Williams; J Josh Snodgrass
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3.  The use of dried blood spot sampling in the national social life, health, and aging project.

Authors:  Sharon R Williams; Thomas W McDade
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2009-02-25       Impact factor: 4.077

4.  Comparing subjective and objective measures of health: Evidence from hypertension for the income/health gradient.

Authors:  David W Johnston; Carol Propper; Michael A Shields
Journal:  J Health Econ       Date:  2009-04-05       Impact factor: 3.883

5.  Validation of blood-based assays using dried blood spots for use in large population studies.

Authors:  Eileen Crimmins; Jung Ki Kim; Heather McCreath; Jessica Faul; David Weir; Teresa Seeman
Journal:  Biodemography Soc Biol       Date:  2014

6.  10-year follow-up of intensive glucose control in type 2 diabetes.

Authors:  Rury R Holman; Sanjoy K Paul; M Angelyn Bethel; David R Matthews; H Andrew W Neil
Journal:  N Engl J Med       Date:  2008-09-10       Impact factor: 91.245

7.  Mechanisms for racial and ethnic disparities in glycemic control in middle-aged and older Americans in the health and retirement study.

Authors:  Michele Heisler; Jessica D Faul; Rodney A Hayward; Kenneth M Langa; Caroline Blaum; David Weir
Journal:  Arch Intern Med       Date:  2007-09-24

Review 8.  Development and validation of assay protocols for use with dried blood spot samples.

Authors:  Thomas W McDade
Journal:  Am J Hum Biol       Date:  2013-10-15       Impact factor: 1.937

9.  Diagnosis and classification of diabetes mellitus.

Authors: 
Journal:  Diabetes Care       Date:  2010-01       Impact factor: 19.112

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Authors:  Arsalan Cheema; Davies Adeloye; Simrita Sidhu; Devi Sridhar; Kit Yee Chan
Journal:  J Glob Health       Date:  2014-06       Impact factor: 4.413

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2.  HPLC-based Measurement of Glycated Hemoglobin using Dried Blood Spots Collected under Adverse Field Conditions.

Authors:  Duncan Thomas; Teresa Seeman; Alan Potter; Peifeng Hu; Eileen Crimmins; Elizabeth Henny Herningtyas; Cecep Sumantri; Elizabeth Frankenberg
Journal:  Biodemography Soc Biol       Date:  2018 Jan-Mar

3.  Risk factors for nutrition-related chronic disease among adults in Indonesia.

Authors:  Vanessa M Oddo; Masumi Maehara; Doddy Izwardy; Anung Sugihantono; Pungkas B Ali; Jee Hyun Rah
Journal:  PLoS One       Date:  2019-08-30       Impact factor: 3.240

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