Abstract

Doc number: 164

Abstract

Background: There is little information about predictive ability of haemoglobin A1c (HbA1c) for cardiovascular disease (CVD) in Asians. To investigate the discriminatory ability of HbA1c to identify subjects who are at greater risk of developing CVD in a prospective study of a defined community-dwelling Japanese population.

Methods: A total of 2,851 subjects aged 40-79 years were stratified into five groups (HbA1c levels with ≤ 5.0, 5.1-5.4, 5.5-6.4, and ≥ 6.5% and a group with antidiabetic medication) and followed up prospectively for 7 years (2002-2009).

Results: During the follow-up, 119 subjects developed CVD. The multivariable-adjusted risk of CVD was significantly increased in subjects with HbA1c levels of 5.5-6.4 and ≥ 6.5% and diabetic medication compared to HbA1c level with ≤ 5.0% (hazard ratio, 2.26 [95% confidence interval, 1.29-3.95] for the 5.5-6.4%; 4.43 [2.09-9.37] for the ≥ 6.5%; and 5.15 [2.65-10.0] for the antidiabetic medication group). With regard to CVD subtype, the positive associations between HbA1c levels and the risk of coronary heart disease (CHD) and ischaemic stroke were also significant, but no such associations were seen for haemorrhagic stroke. The C statistic for developing CVD was significantly increased by adding HbA1c values to the model including other risk factors (0.789 vs. 0762, p = 0.006), and the net reclassification improvement was 0.105 (p = 0.004).

Conclusions: Our findings suggest that elevated HbA1c levels are an independent risk factor for CVD, especially CHD and ischaemic stroke, and that the addition of HbA1c to the model with traditional risk factors significantly improves the predictive ability of CVD.

Details

Title
Haemoglobin A1c even within non-diabetic level is a predictor of cardiovascular disease in a general Japanese population: the Hisayama Study
Author
Ikeda, Fumie; Doi, Yasufumi; Ninomiya, Toshiharu; Hirakawa, Yoichiro; Mukai, Naoko; Hata, Jun; Shikata, Kentaro; Yoshida, Daigo; Matsumoto, Takayuki; Kitazono, Takanari; Kiyohara, Yutaka
Publication year
2013
Publication date
2013
Publisher
BioMed Central
e-ISSN
14752840
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1458391999
Copyright
© 2013 Ikeda et al.; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.