Skip to main content

Advertisement

Log in

The association of hemoglobin A1c and high risk plaque and plaque extent assessed by coronary computed tomography angiography

  • Original Paper
  • Published:
The International Journal of Cardiovascular Imaging Aims and scope Submit manuscript

Abstract

The objective of this study was to investigate the relationship of Hemoglobin A1c (HbA1c) and plaque characteristics including high risk plaque and plaque extent. We retrospectively examined 1079 consecutive coronary computed tomography (CT) angiography scans and the HbA1c results. We divided the patients into four groups by the HbA1c status: non-diabetic, ≤6.0; borderline, 6.1–6.4; diabetic low, 6.5–7.1; diabetic high, >7.1. We determined segment involvement score >4 as extensive disease. High risk plaque was defined as two feature positive (FP) plaque which consists of positive remodeling (remodeling index >1.1) and low attenuation (<30 HU). Univariate and multivariate analysis including conventional cardiovascular risk factors, symptoms and medication was performed. Univariate analysis showed that diabetic patients as well as borderline patients were significantly related with 2FP plaque and extensive disease. Although the relationship of borderline patients and 2FP plaque was marginal in multivariate analysis [odds ratio (OR) 1.53, 95 % confidence interval (CI) 0.95–2.40, p = 0.07], the elevation of HbA1c was strongly associated with 2FP plaque (diabetic low, OR 2.19, 95 % CI 1.37–3.45, p < 0.005; diabetic high, OR 4.14, 95 % CI 2.57–6.67, p < 0.0005). The association of HbA1c elevation and extensive disease was quite similar between borderline and diabetic patients (borderline, OR 1.96, 95 % CI 1.29–2.95, p < 0.005; diabetic low, OR 1.94, 95 % CI 1.25–3.01, p < 0.005; diabetic high, OR 2.19, 95 % CI 1.39–3.43, p < 0.005). Patients with elevated HbA1c of >6.0 are potentially at risk for future cardiovascular events due to increased high risk plaque and extensive disease, even below the diabetic level of 6.5. Coronary CT could be used for risk stratification of these patients.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Rana JS, Dunning A, Achenbach S et al (2012) Differences in prevalence, extent, severity, and prognosis of coronary artery disease among patients with and without diabetes undergoing coronary computed tomography angiography: results from 10,110 individuals from the CONFIRM (COronary CT Angiography EvaluatioN For Clinical Outcomes): an InteRnational Multicenter Registry. Diabetes Care 35:1787–1794

    Article  PubMed Central  PubMed  Google Scholar 

  2. de Araújo Gonçalves P, Garcia-Garcia HM, Carvalho MS et al (2013) Diabetes as an independent predictor of high atherosclerotic burden assessed by coronary computed tomography angiography: the coronary artery disease equivalent revisited. Int J Cardiovasc Imaging 2013(29):1105–1114

    Google Scholar 

  3. Tomizawa N, Nojo T, Inoh S, Nakamura S (2015) Difference of coronary artery disease severity, extent and plaque characteristics between patients with hypertension, diabetes mellitus or dyslipidemia. Int J Cardiovasc Imaging 31:205–212

    Article  PubMed  Google Scholar 

  4. Ibebuogu UN, Nasir K, Gopal A et al (2009) Comparison of atherosclerotic plaque burden and composition between diabetic and non diabetic patients by non invasive CT angiography. Int J Cardiovasc Imaging 25:717–723

    Article  PubMed  Google Scholar 

  5. Jin KN, Chun EJ, Lee CH, Kim JA, Lee MS, Choi SI (2012) Subclinical coronary atherosclerosis in young adults: prevalence, characteristics, predictors with coronary computed tomography angiography. Int J Cardiovasc Imaging 28:93–100

    Article  PubMed  Google Scholar 

  6. Kamimura M, Moroi M, Isobe M, Hiroe M (2012) Role of coronary CT angiography in asymptomatic patients with type 2 diabetes mellitus. Int Heart J 53:23–28

    Article  PubMed  Google Scholar 

  7. Motoyama S, Sarai M, Harigaya H et al (2009) Computed tomographic angiography characteristics of atherosclerotic plaques subsequently resulting in acute coronary syndrome. J Am Coll Cardiol 54:49–57

    Article  PubMed  Google Scholar 

  8. Asai A, Nagao M, Kawahara M, Shuto Y, Sugihara H, Oikawa S (2013) Effect of impaired glucose tolerance on atherosclerotic lesion formation: an evaluation in selectively bred mice with different susceptibilities to glucose intolerance. Atherosclerosis 231:421–426

    Article  CAS  PubMed  Google Scholar 

  9. Carson AP, Steffes MW, Carr JJ et al (2015) Hemoglobin a1c and the progression of coronary artery calcification among adults without diabetes. Diabetes Care 38:66–71

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  10. Gillett MJ (2009) International expert committee report on the role of the A1c assay in the diagnosis of diabetes. Clin Biochem Rev 30:197–200

    PubMed Central  PubMed  Google Scholar 

  11. Colagiuri S, Lee CM, Wong TY et al (2011) Glycemic thresholds for diabetes-specific retinopathy: implications for diagnostic criteria for diabetes. Diabetes Care 34:145–150

    Article  PubMed Central  PubMed  Google Scholar 

  12. Teramoto T, Sasaki J, Ueshima H, et al (2007) Japan Atherosclerosis Society (JAS) guidelines for prevention of atherosclerotic cardiovascular diseases. Tokyo, Japan. Japan Atherosclerosis Society, 6 (article in Japanese)

  13. Zhao L, Plank F, Kummann M et al (2015) Improved non-calcified plaque delineation on coronary CT angiography by sonogram-affirmed iterative reconstruction with different filter strength and relationship with BMI. Cardiovasc Diagn Ther 5:104–112

    PubMed Central  CAS  PubMed  Google Scholar 

  14. Agatston AS, Janowitz WR, Hildner FJ et al (1990) Quantification of coronary artery calcium using ultrafast computed tomography. J Am Coll Cardiol 15:827–832

    Article  CAS  PubMed  Google Scholar 

  15. Raff GL, Abidov A, Achenbach S et al (2009) SCCT guidelines for the interpretation and reporting of coronary computed tomographic angiography. J Cardiovasc Comput Tomogr 3:122–136

    Article  PubMed  Google Scholar 

  16. Nakazato R, Arsanjani R, Achenbach S et al (2014) Age-related risk of major adverse cardiac event risk and coronary artery disease extent and severity by coronary CT angiography: results from 15,187 patients from the International Multisite CONFIRM Study. Eur Heart J Cardiovasc Imaging 15:586–594

    Article  PubMed Central  PubMed  Google Scholar 

  17. Bittencourt MS, Hulten E, Ghoshhajra B et al (2014) Prognostic value of nonobstructive and obstructive coronary artery disease detected by coronary computed tomography angiography to identify cardiovascular events. Circ Cardiovasc Imaging 7:282–291

    Article  PubMed  Google Scholar 

  18. Kodama T, Kondo T, Oida A et al (2012) Computed tomographic angiography-verified plaque characteristics and slow-flow phenomenon during percutaneous coronary intervention. J Am Coll Cardiol Interv 5:636–643

    Article  Google Scholar 

  19. Puchner SB, Lu MT, Mayrhofer T et al (2015) High-Risk coronary plaque at coronary CT angiography is associated with nonalcoholic fatty liver disease, independent of coronary plaque and stenosis burden: results from the ROMICAT II trial. Radiology 274:693–701

    Article  PubMed Central  PubMed  Google Scholar 

  20. Nakazato R, Otake H, Konishi A et al (2015) Atherosclerotic plaque characterization by CT angiography for identification of high-risk coronary artery lesions: a comparison to optical coherence tomography. Eur Heart J 16:373–379

    Google Scholar 

  21. Young LH, Wackers FJ, Chyun DA et al (2009) Cardiac outcomes after screening for asymptomatic coronary artery disease in patients with type 2 diabetes: the DIAD study: a randomized controlled trial. JAMA 301:1547–1555

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  22. Muhlestein JB, Lappé DL, Lima JA et al (2014) Effect of screening for coronary artery disease using CT angiography on mortality and cardiac events in high-risk patients with diabetes: the FACTOR-64 randomized clinical trial. JAMA 312:2234–2243

    Article  CAS  PubMed  Google Scholar 

  23. Hadamitzky M, Hein F, Meyer T et al (2010) Prognostic value of coronary computed tomographic angiography in diabetic patients without known coronary artery disease. Diabetes Care 33:1358–1363

    Article  PubMed Central  PubMed  Google Scholar 

  24. Nakamura Y, Saitoh S, Takagi S et al (2007) Impact of abnormal glucose tolerance, hypertension and other risk factors on coronary artery disease. Circ J 71:20–25

    Article  CAS  PubMed  Google Scholar 

  25. Horimoto M, Hasegawa A, Ozaki T, Takenaka T, Igarashi K, Inoue H (2005) Independent predictors of the severity of angiographic coronary atherosclerosis: the lack of association between impaired glucose tolerance and stenosis severity. Atherosclerosis 182:113–119

    Article  CAS  PubMed  Google Scholar 

  26. Zeb I, Li D, Nasir K et al (2013) Effect of statin treatment on coronary plaque progression: a serial coronary CT angiography study. Atherosclerosis 231:198–204

    Article  CAS  PubMed  Google Scholar 

  27. García-García HM, Klauss V, Gonzalo N et al (2012) Relationship between cardiovascular risk factors and biomarkers with necrotic core and atheroma size: a serial intravascular ultrasound radiofrequency data analysis. Int J Cardiovasc Imaging 28:695–703

    Article  PubMed Central  PubMed  Google Scholar 

  28. Erbel R, Lehmann N, Churzidse S et al (2014) Progression of coronary artery calcification seems to be inevitable, but predictable-results of the Heinz Nixdorf Recall (HNR) study. Eur Heart J 35:2960–2971

    Article  PubMed Central  PubMed  Google Scholar 

  29. Farhan S, Jarai R, Tentzeris I et al (2012) Comparison of HbA1c and oral glucose tolerance test for diagnosis of diabetes in patients with coronary artery disease. Clin Res Cardiol 101:625–630

    Article  CAS  PubMed  Google Scholar 

  30. Kristanto W, van Ooijen PM, Greuter MJ, Groen JM, Vliegenthart R, Oudkerk M (2013) Non-calcified coronary atherosclerotic plaque visualization on CT: effects of contrast-enhancement and lipid-content fractions. Int J Cardiovasc Imaging 29:1137–1148

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nobuo Tomizawa.

Ethics declarations

Conflict of interest

This study was supported in part by JSPS KAKENHI Grant Number 15H00648.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tomizawa, N., Inoh, S., Nojo, T. et al. The association of hemoglobin A1c and high risk plaque and plaque extent assessed by coronary computed tomography angiography. Int J Cardiovasc Imaging 32, 493–500 (2016). https://doi.org/10.1007/s10554-015-0788-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10554-015-0788-6

Keywords

Navigation