Literature DB >> 24910286

Interpretation of HbA1c : association with mean cell volume and haemoglobin concentration.

D Simmons1, T Hlaing.   

Abstract

AIM: The utility of HbA1c in diabetes diagnosis is reduced in settings associated with altered haemoglobin glycation. We have studied whether HbA1c varies with mean cell volume and mean cell haemoglobin concentration as measures of haemoglobin metabolism.
METHODS: Randomly selected adults from rural Victoria, Australia, were invited for biomedical assessment. After excluding patients with known diabetes and/or serum creatinine ≥ 0.12 mmol/l, 1315 adults were included. Demography, arthropometric measurements, oral glucose tolerance test, analyses of full blood count and HbA1c were undertaken.
RESULTS: After adjusting for age, sex, ethnicity, BMI, town and socio-economic status, there were no significant differences in haemoglobin, mean cell volume or mean cell haemoglobin concentration by glycaemic status (defined by oral glucose tolerance test). HbA1c was significantly and independently associated with fasting glucose, town, mean cell haemoglobin concentration, ethnicity, age and BMI among men < 50 years (R² = 33.8%); fasting glucose, 2-h glucose, mean cell haemoglobin concentration and town among men ≥ 50 years (R² = 47.9%); fasting glucose, mean cell volume, mean cell haemoglobin concentration, town, 2-h glucose and age among women < 50 years (R² = 46.3%); fasting glucose, mean cell haemoglobin concentration, mean cell volume and 2-h glucose among women ≥ 50 years (R² = 51.6%). A generalized linear model showed a gradient from an adjusted mean HbA1c of 36 (95% CI 34-38) mmol/mol with a mean cell haemoglobin concentration of ≤ 320 g/l to 30 (95% CI 29-31) mmol/mol with a mean cell haemoglobin concentration of > 370 g/l. The gradient across mean cell volume was negative, but only by 1 mmol/mol (0.1%) HbA1c .
CONCLUSION: A mean HbA1c difference of 5 mmol/mol (0.5%) across the mean cell haemoglobin concentration reference range suggests that an accompanying full blood count examination may be required for its use in the diagnosis of diabetes. Further studies are required to confirm this.
© 2014 The Authors. Diabetic Medicine © 2014 Diabetes UK.

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Year:  2014        PMID: 24910286     DOI: 10.1111/dme.12518

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  8 in total

1.  Physiologic Concepts That May Revise the Interpretation and Implications of HbA1C in Clinical Medicine: An American Perspective.

Authors:  Eric P Smith; Robert M Cohen
Journal:  J Diabetes Sci Technol       Date:  2015-02-17

2.  Longitudinal Changes in the Relationship Between Hemoglobin A1c and Glucose Tolerance Across Pregnancy and Postpartum.

Authors:  P Kaitlyn Edelson; Kaitlyn E James; Aaron Leong; Juliana Arenas; Melody Cayford; Michael J Callahan; Sarah N Bernstein; Jessica Sheehan Tangren; Marie-France Hivert; John M Higgins; David M Nathan; Camille E Powe
Journal:  J Clin Endocrinol Metab       Date:  2020-05-01       Impact factor: 5.958

3.  Sex-Specific Associations of Iron-Anemia Status With Hemoglobin A1C Levels Among Hispanics/Latinos Without Self-Reported Diabetes Mellitus: The Hispanic Community Health Study/Study of Latinos.

Authors:  Mayra L Estrella; Cynthia M Pérez; Erick Suárez; Wilmarie Fuentes-Payán; Bharat Thyagarajan; Jonathan C Goldsmith; Martha L Daviglus; M Larissa Avilés-Santa
Journal:  Endocr Pract       Date:  2021-12-08       Impact factor: 3.443

Review 4.  Screening and Treatment for Early-Onset Gestational Diabetes Mellitus: a Systematic Review and Meta-analysis.

Authors:  Jincy Immanuel; David Simmons
Journal:  Curr Diab Rep       Date:  2017-10-02       Impact factor: 4.810

5.  Longitudinal study of health, disease and access to care in rural Victoria: the Crossroads-II study: methods.

Authors:  Kristen M Glenister; Lisa Bourke; Leslie Bolitho; Sian Wright; Stuart Roberts; William Kemp; Leigh Rhode; Ravi Bhat; Sönke Tremper; Dianna J Magliano; Mike Morgan; Rodrigo Mariño; William Adam; David Simmons
Journal:  BMC Public Health       Date:  2018-05-30       Impact factor: 3.295

6.  Prevalence of non-communicable disease risk factors among poor shantytown residents in Dhaka, Bangladesh: a community-based cross-sectional survey.

Authors:  Md Khalequzzaman; Chifa Chiang; Sohel Reza Choudhury; Hiroshi Yatsuya; Mohammad Abdullah Al-Mamun; Abubakr Ahmed Abdullah Al-Shoaibi; Yoshihisa Hirakawa; Bilqis Amin Hoque; Syed Shariful Islam; Akiko Matsuyama; Hiroyasu Iso; Atsuko Aoyama
Journal:  BMJ Open       Date:  2017-11-14       Impact factor: 2.692

7.  Impact of Anemia and Red Cell Indices on the Diagnosis of Pre-Diabetes and Diabetes in Indian Adult Population: Is there a Cut-off Guide for Clinicians?

Authors:  Subramanian Kannan; Chinthala Jaipalreddy; Vellaichamy Muthupandi Annapandian; Bangalore Venkatraman Murali Mohan; Sharat Damodar; Kranti Shreesh Khadilkar; Kumbenahalli Siddegowda Shivaprasad
Journal:  Indian J Endocrinol Metab       Date:  2019 Jan-Feb

Review 8.  Increased Levels of Glycated Hemoglobin A1c and Iron Deficiency Anemia: A Review.

Authors:  Wenjia Guo; Qi Zhou; Yanan Jia; Jiancheng Xu
Journal:  Med Sci Monit       Date:  2019-11-07
  8 in total

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