Literature DB >> 15787896

Comparison of fingerstick hemoglobin A1c levels assayed by DCA 2000 with the DCCT/EDIC central laboratory assay: results of a Diabetes Research in Children Network (DirecNet) Study.

William V Tamborlane1, Craig Kollman, Michael W Steffes, Katrina J Ruedy, Xing Dongyuan, Roy W Beck, Peter Chase, Larry A Fox, Darrell M Wilson, Eva Tsalikian.   

Abstract

BACKGROUND: The Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) high-performance liquid chromatography (HPLC) method for measuring hemoglobin A1c (HbA1c) serves as a reference standard against which other assays are compared. The DCA 2000 + Analyzer (Bayer Inc., Tarrytown, NY, USA), which uses an immunoassay, is a very popular device for measuring HbA1c levels in pediatric diabetes practices.
OBJECTIVE: To determine how HbA1c values measured with the DCA 2000 in a multisite, pediatric diabetes clinic setting compare with corresponding HbA1c values measured in the DCCT/EDIC laboratory. DESIGN/
METHODS: To examine this question, the Diabetes Research in Children Network (DirecNet) used the DCA 2000 in five clinical centers to measure baseline HbA1c levels in 200 youth with type 1 diabetes mellitus (T1DM) (aged 12.5 +/- 2.8 yr) who were participating in an outpatient clinical trial. At the same visit, an additional blood sample was obtained, refrigerated, and shipped to the DCCT/EDIC central laboratory for determination of HbA1c values.
RESULTS: The central laboratory HbA1c value averaged 8.0 +/- 0.9% (mean +/- SD), with a median (25th and 75th quartiles) of 7.8% (7.3 and 8.5%, respectively). The DCA 2000 HbA1c values were strongly correlated (r = 0.94, p < 0.001), but significantly higher than DCCT/EDIC central laboratory values with a mean difference of +0.2% (95% confidence interval +0.14 to 0.23%, p < 0.001). There was some variation in the differences between DCA 2000 and central laboratory values at the five clinical centers (p < 0.001) with mean differences ranging between 0.0 and 0.3%, but differences between the two methods did not vary significantly by age or gender.
CONCLUSION: Measurements of HbA1c by the DCA 2000 compare favorably with the DCCT/EDIC central laboratory method, albeit with slightly higher values.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15787896     DOI: 10.1111/j.1399-543X.2005.00088.x

Source DB:  PubMed          Journal:  Pediatr Diabetes        ISSN: 1399-543X            Impact factor:   4.866


  59 in total

1.  Continuous subcutaneous glucose monitoring in children with type 1 diabetes.

Authors:  Amnon Zung; Zvi Zadik
Journal:  Pediatrics       Date:  2002-02       Impact factor: 7.124

2.  Fatigue in women with type 2 diabetes.

Authors:  Cynthia Fritschi; Laurie Quinn; Eileen D Hacker; Sue M Penckofer; Edward Wang; Marquis Foreman; Carol E Ferrans
Journal:  Diabetes Educ       Date:  2012-06-19       Impact factor: 2.140

3.  Relative inaccuracy of the A1cNow in children with type 1 diabetes.

Authors:  Larry Fox; Mariya Dontchev; Katrina Ruedy; Roy Beck; Craig Kollman; Laurel Messer; Julie Coffey; Darrell Wilson; Elizabeth Doyle; William Tamborlane; Michael Steffes
Journal:  Diabetes Care       Date:  2007-01       Impact factor: 19.112

4.  Mealtime behavior and diabetes-specific parent functioning in young children with type 1 diabetes.

Authors:  Maureen Monaghan; Linda Jones Herbert; Jichuan Wang; Clarissa Holmes; Fran R Cogen; Randi Streisand
Journal:  Health Psychol       Date:  2015-02-09       Impact factor: 4.267

5.  Accuracy and precision of the Axis-Shield Afinion hemoglobin A1c measurement device.

Authors:  Jamie R Wood; Brett M Kaminski; Craig Kollman; Roy W Beck; Callyn A Hall; Jason P Yun; Eda Cengiz; Michael J Haller; Krishna Hassan; Georgeanna J Klingensmith; William V Tamborlane
Journal:  J Diabetes Sci Technol       Date:  2012-03-01

6.  Continuous glucose monitoring in children with type 1 diabetes.

Authors:  Bruce Buckingham; Roy W Beck; William V Tamborlane; Dongyuan Xing; Craig Kollman; Rosanna Fiallo-Scharer; Nelly Mauras; Katrina J Ruedy; Michael Tansey; Stuart A Weinzimer; Tim Wysocki
Journal:  J Pediatr       Date:  2007-08-24       Impact factor: 4.406

7.  Family therapy for adolescents with poorly controlled diabetes: initial test of clinical significance.

Authors:  Michael A Harris; Kurt A Freeman; Megan Beers
Journal:  J Pediatr Psychol       Date:  2009-03-05

8.  Prenatal Development and Adolescent Obesity: Two Distinct Pathways to Diabetes in Adulthood.

Authors:  Janne Boone-Heinonen; Rebecca M Sacks; Erin E Takemoto; Elizabeth R Hooker; Nathan F Dieckmann; Curtis S Harrod; Kent L Thornburg
Journal:  Child Obes       Date:  2018-04-06       Impact factor: 2.992

9.  Development and validation of PRISM: a survey tool to identify diabetes self-management barriers.

Authors:  Elizabeth D Cox; Katie A Fritz; Kristofer W Hansen; Roger L Brown; Victoria Rajamanickam; Kaelyn E Wiles; Bryan H Fate; Henry N Young; Megan A Moreno
Journal:  Diabetes Res Clin Pract       Date:  2014-01-18       Impact factor: 5.602

10.  Design and participant characteristics for a randomized effectiveness trial of an intensive lifestyle intervention to reduce cardiovascular risk in adults with type 2 diabetes: The I-D-HEALTH study.

Authors:  David T Liss; Emily A Finch; Dyanna L Gregory; Andrew Cooper; Ronald T Ackermann
Journal:  Contemp Clin Trials       Date:  2015-12-02       Impact factor: 2.226

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.