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Impact of impaired fasting glucose on cardiovascular disease: the Framingham Heart Study.

Publication ,  Journal Article
Levitzky, YS; Pencina, MJ; D'Agostino, RB; Meigs, JB; Murabito, JM; Vasan, RS; Fox, CS
Published in: J Am Coll Cardiol
January 22, 2008

OBJECTIVES: We sought to determine whether impaired fasting glucose (IFG) predicts cardiovascular disease (CVD) events. BACKGROUND: It is unclear which glucose threshold should define prediabetes. We compared the 1997 and 2003 American Diabetes Association (ADA) definitions of IFG to predict CVD. METHODS: Framingham offspring participants free of CVD, categorized by the 1997 ADA IFG definition (fasting plasma glucose 110 to 125 mg/dl; 6.1 to 6.9 mmol/l) or the 2003 definition (100 to 125 mg/dl; 5.6 to 6.9 mmol/l), were followed from 1983 to 2004. Pooled logistic regression was used to calculate multivariable-adjusted odds ratios (ORs) for incident coronary heart disease (CHD; 291 events) or CVD (423 events). RESULTS: Four-year CHD event rates among women were 1.3% (100 to 109 mg/dl), 2.3% (110 to 125 mg/dl), and 2.9% (diabetes); whereas corresponding rates in men were 2.9%, 3.0%, and 8.7%. For the 2003 IFG definition, the OR for CHD among women was 1.7 (95% confidence interval [CI] 1.0 to 3.0, p = 0.048), whereas for the 1997 IFG definition, the OR for CHD in women was 2.2 (95% CI 1.1 to 4.4, p = 0.02), which was almost as high as for women with diabetes (OR 2.5, 95% CI 1.2 to 5.2, p = 0.01). For CVD, only the 1997 IFG definition yielded significantly greater odds of CVD in women (OR 2.1, 95% CI 1.2 to 3.6, p = 0.01). Men were not at increased odds of developing CVD or CHD by either definition. CONCLUSIONS: In women, both IFG definitions were associated with increased CHD risk, whereas neither IFG definition identified men at increased short-term risk for CHD or CVD. The finding that women with FPG 110 to 125 mg/dl had similar CHD risk compared with women with diabetes suggests that CHD risk in women may be elevated at a lower glucose level than for men.

Duke Scholars

Published In

J Am Coll Cardiol

DOI

EISSN

1558-3597

Publication Date

January 22, 2008

Volume

51

Issue

3

Start / End Page

264 / 270

Location

United States

Related Subject Headings

  • Sex Factors
  • Sensitivity and Specificity
  • Risk Factors
  • Prediabetic State
  • Middle Aged
  • Male
  • Longitudinal Studies
  • Logistic Models
  • Kaplan-Meier Estimate
  • Hyperglycemia
 

Citation

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Levitzky, Y. S., Pencina, M. J., D’Agostino, R. B., Meigs, J. B., Murabito, J. M., Vasan, R. S., & Fox, C. S. (2008). Impact of impaired fasting glucose on cardiovascular disease: the Framingham Heart Study. J Am Coll Cardiol, 51(3), 264–270. https://doi.org/10.1016/j.jacc.2007.09.038
Levitzky, Yamini S., Michael J. Pencina, Ralph B. D’Agostino, James B. Meigs, Joanne M. Murabito, Ramachandran S. Vasan, and Caroline S. Fox. “Impact of impaired fasting glucose on cardiovascular disease: the Framingham Heart Study.J Am Coll Cardiol 51, no. 3 (January 22, 2008): 264–70. https://doi.org/10.1016/j.jacc.2007.09.038.
Levitzky YS, Pencina MJ, D’Agostino RB, Meigs JB, Murabito JM, Vasan RS, et al. Impact of impaired fasting glucose on cardiovascular disease: the Framingham Heart Study. J Am Coll Cardiol. 2008 Jan 22;51(3):264–70.
Levitzky, Yamini S., et al. “Impact of impaired fasting glucose on cardiovascular disease: the Framingham Heart Study.J Am Coll Cardiol, vol. 51, no. 3, Jan. 2008, pp. 264–70. Pubmed, doi:10.1016/j.jacc.2007.09.038.
Levitzky YS, Pencina MJ, D’Agostino RB, Meigs JB, Murabito JM, Vasan RS, Fox CS. Impact of impaired fasting glucose on cardiovascular disease: the Framingham Heart Study. J Am Coll Cardiol. 2008 Jan 22;51(3):264–270.
Journal cover image

Published In

J Am Coll Cardiol

DOI

EISSN

1558-3597

Publication Date

January 22, 2008

Volume

51

Issue

3

Start / End Page

264 / 270

Location

United States

Related Subject Headings

  • Sex Factors
  • Sensitivity and Specificity
  • Risk Factors
  • Prediabetic State
  • Middle Aged
  • Male
  • Longitudinal Studies
  • Logistic Models
  • Kaplan-Meier Estimate
  • Hyperglycemia