Cited by 67Diabetes, Cardiovascular Risks, and LipoproteinsDiabetes Management and ResearchDiabetes Treatment and Management

Haemoglobin A1c even within non-diabetic level is a predictor of cardiovascular disease in a general Japanese population: the Hisayama Study

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Ikeda, Fumie, Doi, Yasufumi, Ninomiya, Toshiharu, Hirakawa, Yoichiro, Mukai, Naoko, Hata, Jun, Shikata, Kentaro, Yoshida, Daigo +3 more·2013·Cardiovascular Diabetology

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.

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Authors
Ikeda, F., Doi, Y., Ninomiya, T., Hirakawa, Y., Mukai, N., Hata, J., Shikata, K., Yoshida, D., Matsumoto, T., Kitazono, T., & Kiyohara, Y.
Affiliations
Kyushu University (JP)
Corresponding author
Ikeda, Fumie
Venue
Cardiovascular Diabetology
Published
2013
Volume
12
Issue
1
Pages
164
ISSN
1475-2840 (ISSN-L)
OpenAlex
W2103908162
Cited by
67
References
44
Citations by year
2026: 1 · 2025: 4 · 2024: 5 · 2023: 5 · 2022: 7 · 2021: 4 · 2020: 5 · 2019: 4 · 2018: 6 · 2017: 8 · 2016: 6 · 2015: 9 · 2014: 3
FWCI
4.72
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Cardiovascular Diabetology (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
  • Ministry of Education, Culture, Sports, Science and Technology (22116010, 25460758, 25253048, 25293428)
  • Ministry of Health, Labour and Welfare (H25‐Junkankitou [Seishuu]‐Sitei‐022, H25-Junkankitou, H25-Ninchisho-Ippan-004, H23–Junkankitou [Seishuu]–Ippan–005)
  • Japan Society for the Promotion of Science (22116001, 23590798, 25253048, 24590796, 25293428, 25460758, 23500842, 24590797, 22240073, 23590797)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
Keywords
HbA1c, cardiovascular disease, coronary artery disease, ischemic stroke, hemorrhagic stroke, cardiovascular risk prediction, antidiabetic drugs, Hisayama Study, Japanese population
MeSH terms
Adult, Aged, Aged, 80 and over, Cardiovascular Diseases, Coronary Disease, Diabetes Mellitus, Female, Glycated Hemoglobin, Humans, Hyperglycemia, Hypoglycemic Agents, Japan, Longitudinal Studies, Male, Middle Aged, Prospective Studies, Risk Factors, Multivariate Analysis, Proportional Hazards Models, Stroke, Asian People

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