Literature DB >> 11128350

Combined use of fasting plasma glucose and HbA1c predicts the progression to diabetes in Chinese subjects.

G T Ko1, J C Chan, L W Tsang, C S Cockram.   

Abstract

OBJECTIVE: We have previously suggested using the paired values of fasting plasma glucose (FPG) and HbA1c to identify potential diabetic subjects. In this article, we followed up on 208 nondiabetic subjects and examined their rates of progression to diabetes. We analyzed their likelihood of becoming diabetic according to their baseline FPG and HbA1c concentrations. RESEARCH DESIGN AND METHODS: Between 1988 and 1995, 2,877 Chinese subjects with risk factors for diabetes underwent screening. Of these, 2,250 had FPG <7.8 mmol/l and 2-h plasma glucose (PG) <11.1 mmol/l. Of these 2,250 subjects, 265 were randomly recruited for an annual oral glucose tolerance test (OGTT) until they progressed to develop diabetes. Of those 265 subjects, 57 had baseline FPG > or =7.0 mmol/l and were excluded from the present analysis. Hence, the progression of glucose tolerance in 208 subjects who were nondiabetic according to the new American Diabetes Association diagnostic criteria (FPG < 7.0 mmol/l and 2-h PG < 11.1 mmol/l) was examined
RESULTS: Of the 208 nondiabetic subjects, 26 (12.5%) were men and 182 (87.5%) were women. After a mean follow-up of 1.60 +/- 1.16 years (range 1-7, median 1), 44 (21.2%) progressed to develop diabetes and 164 (78.8%) remained nondiabetic. Those who were diabetic at the end of the study had a high likelihood ratio (LR) of 9.3 to have baseline FPG > or =6.1 mmol/l and baseline HbA1c > or =6.1%. This was compared with a low LR of 0.6-1.1 in diabetic subjects who had either FPG <6.1 mmol/l or HbA1c <6.1% or both at baseline. The crude rate of progression to diabetes was more than five times higher (44.1 vs. 8.1%) in those whose baseline FPG was > or =6.1 mmol/l and baseline HbA1c was > or =6.1% compared with those whose baseline FPG was <6.1 mmol/l and baseline HbA1c was <6.1%.
CONCLUSIONS: For Chinese subjects with risk factors for glucose intolerance, the use of paired FPG and HbA1c values helped to identify potential diabetic subjects. Those with an FPG > or =6.1 mmol/l and HbA1c > or =6.1% had a rate of progression to diabetes more than five times higher than those with an FPG <6.1 mmol/l and an HbA1c <6.1% after a mean follow-up of 1.6 years. Those with an FPG > or =6.1 but <7.0 mmol/l, especially if their HbA1c was > or =6.1%, should undergo an OGTT to confirm diabetes. Subjects with an FPG <6.1 mmol/l and/or an HbA1c <6.1% should have regular screening using the paired values of FPG and HbA1c.

Entities:  

Mesh:

Substances:

Year:  2000        PMID: 11128350     DOI: 10.2337/diacare.23.12.1770

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  16 in total

1.  Use of HbA(1c) in screening for Cuban-Americans with undiagnosed type 2 diabetes.

Authors:  Fatma G Huffman; Joel C Exebio; Gustavo G Zarini; Cristobal Exebio
Journal:  J Immigr Minor Health       Date:  2011-06

2.  Estimation of the contribution of biomarkers of different metabolic pathways to risk of type 2 diabetes.

Authors:  Jukka Montonen; Dagmar Drogan; Hans-Georg Joost; Heiner Boeing; Andreas Fritsche; Erwin Schleicher; Matthias B Schulze; Tobias Pischon
Journal:  Eur J Epidemiol       Date:  2010-12-28       Impact factor: 8.082

3.  Hemoglobin A1c predicts diabetes but not cardiovascular disease in nondiabetic women.

Authors:  Aruna D Pradhan; Nader Rifai; Julie E Buring; Paul M Ridker
Journal:  Am J Med       Date:  2007-08       Impact factor: 4.965

4.  CDKAL1 and HHEX are associated with type 2 diabetes-related traits among Yup'ik people.

Authors:  Yann C Klimentidis; Dominick J Lemas; Howard H Wiener; Diane M O'Brien; Peter J Havel; Kimber L Stanhope; Scarlett E Hopkins; Hemant K Tiwari; Bert B Boyer
Journal:  J Diabetes       Date:  2013-10-29       Impact factor: 4.006

5.  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

6.  International Expert Committee report on the role of the A1C assay in the diagnosis of diabetes.

Authors: 
Journal:  Diabetes Care       Date:  2009-06-05       Impact factor: 17.152

7.  Impaired glucose tolerance in sleep disorders.

Authors:  Marietta Keckeis; Zuzana Lattova; Eszter Maurovich-Horvat; Pierre A Beitinger; Steffen Birkmann; Christoph J Lauer; Thomas C Wetter; Johanna Wilde-Frenz; Thomas Pollmächer
Journal:  PLoS One       Date:  2010-03-01       Impact factor: 3.240

8.  Postchallenge glucose, A1C, and fasting glucose as predictors of type 2 diabetes and cardiovascular disease: a 10-year prospective cohort study.

Authors:  Henna Cederberg; Tuula Saukkonen; Mauri Laakso; Jari Jokelainen; Pirjo Härkönen; Markku Timonen; Sirkka Keinänen-Kiukaanniemi; Ulla Rajala
Journal:  Diabetes Care       Date:  2010-06-23       Impact factor: 17.152

Review 9.  A1C level and future risk of diabetes: a systematic review.

Authors:  Xuanping Zhang; Edward W Gregg; David F Williamson; Lawrence E Barker; William Thomas; Kai McKeever Bullard; Giuseppina Imperatore; Desmond E Williams; Ann L Albright
Journal:  Diabetes Care       Date:  2010-07       Impact factor: 19.112

10.  Comparison of fasting glucose with post-load glucose values and glycated hemoglobin for prediction of type 2 diabetes: the Isfahan diabetes prevention study.

Authors:  Mohsen Janghorbani; Masoud Amini
Journal:  Rev Diabet Stud       Date:  2009-08-10
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.