Literature DB >> 20970868

Discordance between fasting glucose-based and hemoglobin A1c-based diagnosis of diabetes mellitus in Koreans.

Chul-Hee Kim1, Hong-Kyu Kim, Sung-Jin Bae, Joong-Yeol Park, Ki-Up Lee.   

Abstract

We analyzed data of 35,624 non-diabetic Koreans using fasting plasma glucose (FPG) criteria and HbA1c criteria in screening for diabetes. Among the 1,491 subjects newly diagnosed with diabetes, 473 (31.6%) met the FPG criteria only (≥7.0mmol/l), 350 (23.5%) met HbA1c criteria only (≥6.5%), and 668 (44.9%) met both criteria. The DM-by-HbA1c group had significantly older age, higher proportion of women, and lower hemoglobin concentration. The DM-by-FPG group had higher systolic and diastolic blood pressure, fasting serum insulin, and HOMA-IR. Further studies are needed to determine which of these criteria is superior in predicting the risks of long-term vascular complications of diabetes. 2010 Elsevier Ireland Ltd. All rights reserved.

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Year:  2011        PMID: 20970868     DOI: 10.1016/j.diabres.2010.09.025

Source DB:  PubMed          Journal:  Diabetes Res Clin Pract        ISSN: 0168-8227            Impact factor:   5.602


  12 in total

1.  HbA(1c) values for defining diabetes and impaired fasting glucose in Asian Indians.

Authors:  Manisha Nair; Dorairaj Prabhakaran; K M Venkat Narayan; Rashmi Sinha; Ramakrishnan Lakshmy; Niveditha Devasenapathy; Carrie R Daniel; Ruby Gupta; Preethi S George; Aleyamma Mathew; Nikhil Tandon; K Srinath Reddy
Journal:  Prim Care Diabetes       Date:  2011-04-06       Impact factor: 2.459

2.  The changing relationship between HbA1c and FPG according to different FPG ranges.

Authors:  X Guan; L Zheng; G Sun; X Guo; Y Li; H Song; F Tian; Y Sun
Journal:  J Endocrinol Invest       Date:  2015-09-18       Impact factor: 4.256

3.  Hemoglobin A1c can identify more cardiovascular and metabolic risk profile in OGTT-negative Chinese population.

Authors:  Guicheng Peng; Maohuan Lin; Kun Zhang; Jie Chen; Yifang Wang; Yu Yang; Jingfeng Wang; Hui Huang
Journal:  Int J Med Sci       Date:  2013-06-19       Impact factor: 3.738

4.  Glycated hemoglobin and associated risk factors in older adults.

Authors:  Raul A Martins; John G Jones; Sean P Cumming; Manuel J Coelho e Silva; Ana M Teixeira; Manuel T Veríssimo
Journal:  Cardiovasc Diabetol       Date:  2012-02-06       Impact factor: 9.951

5.  Impact of HbA1c Criterion on the Detection of Subjects with Increased Risk for Diabetes among Health Check-Up Recipients in Korea.

Authors:  Hong-Kyu Kim; Sung-Jin Bae; Jaeone Choe
Journal:  Diabetes Metab J       Date:  2012-04-17       Impact factor: 5.376

6.  Impact of hemoglobin A1c-based criterion on diagnosis of prediabetes: The Korea National Health and Nutrition Examination Survey 2011.

Authors:  Chul-Hee Kim; Hong-Kyu Kim; Bo-Yeon Kim; Chan-Hee Jung; Ji-Oh Mok; Sung-Koo Kang
Journal:  J Diabetes Investig       Date:  2014-06-18       Impact factor: 4.232

7.  The prevalence of diabetes amongst young Emirati female adults in the United Arab Emirates: A cross-sectional study.

Authors:  Maysm N Mohamad; Leila Cheikh Ismail; Lily Stojanovska; Vasso Apostolopoulos; Jack Feehan; Amjad H Jarrar; Ayesha S Al Dhaheri
Journal:  PLoS One       Date:  2021-06-17       Impact factor: 3.240

8.  Multilevel examination of diabetes in modernising China: what elements of urbanisation are most associated with diabetes?

Authors:  S M Attard; A H Herring; E J Mayer-Davis; B M Popkin; J B Meigs; P Gordon-Larsen
Journal:  Diabetologia       Date:  2012-08-26       Impact factor: 10.122

9.  Effects of age and sex in the diagnosis of type 2 diabetes using glycated haemoglobin in Japan: the Yuport Medical Checkup Centre study.

Authors:  Machiko Inoue; Kazuo Inoue; Kimihiko Akimoto
Journal:  PLoS One       Date:  2012-07-05       Impact factor: 3.240

10.  Development of a new risk score for incident type 2 diabetes using updated diagnostic criteria in middle-aged and older chinese.

Authors:  Xingwang Ye; Geng Zong; Xin Liu; Gang Liu; Wei Gan; Jingwen Zhu; Ling Lu; Liang Sun; Huaixing Li; Frank B Hu; Xu Lin
Journal:  PLoS One       Date:  2014-05-12       Impact factor: 3.240

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