Skip to main content
Log in

Prognostic value of unrecognised myocardial infarction detected by late gadolinium-enhanced MRI in diabetic patients with normal global and regional left ventricular systolic function

  • Cardiac
  • Published:
European Radiology Aims and scope Submit manuscript

Abstract

Objectives

To determine whether the detection of unrecognised myocardial infarction (MI) using late gadolinium-enhanced (LGE)-magnetic resonance imaging (MRI) can provide prognostic information in diabetic patients with normal ECG as well as normal global and regional left ventricular (LV) function.

Methods

From 449 diabetic patients who had complete cine- and LGE-MRI, 321 patients with histories of CAD, ischaemic ECG changes and abnormal cine MRI findings (LV ejection fraction <50 % or presence of regional wall motion abnormality) were excluded. The presence and extent of LGE were determined in the remaining 128 patients. Follow-up information was obtained for the occurrence of major adverse cardiovascular events (MACE) defined as cardiac death, acute MI, heart failure, unstable angina and significant ventricular arrhythmias in 120 patients.

Results

Of 120 patients, 18 (15 %) had LGE. During follow-up (median, 27 months), six patients with LGE (33.3 %) and four patients without LGE (3.9 %) experienced MACE, resulting in an annualised event rate of 7.7 % and 0.9 %, respectively (log-rank P <0.001). The presence of LGE was associated with an eight-fold increased hazard for MACE (HR, 8.84; P = 0.001).

Conclusions

LGE-MRI can detect unrecognised MI and may improve the risk stratification of diabetic patients with no CAD history, normal ECG and normal LV systolic function.

Key Points

Late gadolinium-enhanced magnetic resonance imaging (LGE-MRI) can identify subtle myocardial abnormalities.

LGE-MRI can detect myocardial infarction missed by ECG and cine-MRI.

Unrecognised MI detected by LGE-MRI was associated with adverse cardiac events.

LGE-MRI helps clinicians to assess diabetic patients with unrecognised MI.

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

Access this article

Subscribe and save

Springer+
from $39.99 /Month
  • Starting from 10 chapters or articles per month
  • Access and download chapters and articles from more than 300k books and 2,500 journals
  • Cancel anytime
View plans

Buy Now

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

Instant access to the full article PDF.

Fig. 1
The alternative text for this image may have been generated using AI.
Fig. 2
The alternative text for this image may have been generated using AI.
Fig. 3
The alternative text for this image may have been generated using AI.

Similar content being viewed by others

Abbreviations

CAD:

Coronary artery disease

CI:

Confidence interval

DM:

Diabetes mellitus

ECG:

Electrocardiogram

LGE:

Late gadolinium enhancement

LV:

Left ventricle

MACE:

Major adverse cardiovascular event

MI:

Myocardial infarction

MRI:

Magnetic resonance imaging

References

  1. (2002) Third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (adult treatment panel III) final report. Circulation 106(25):3143–3421

  2. (2003) Report of the expert committee on the diagnosis and classification of diabetes mellitus. Diabetes Care 26:S5–20

  3. Alexander CM, Landsman PB, Teutsch SM (2000) Diabetes mellitus, impaired fasting glucose, atherosclerotic risk factors, and prevalence of coronary heart disease. Am J Cardiol 86:897–902

    Article  PubMed  CAS  Google Scholar 

  4. Andrade JM, Gowdak LH, Giorgi MC et al (2009) Cardiac MRI for detection of unrecognized myocardial infarction in patients with end-stage renal disease: comparison with ECG and scintigraphy. AJR Am J Roentgenol 193:W25–W32

    Article  PubMed  Google Scholar 

  5. Barkhausen J, Hunold P, Waltering KU (2004) MRI in coronary artery disease. Eur Radiol 14:2155–2162

    Article  PubMed  Google Scholar 

  6. Burgess DC, Hunt D, Li L et al (2010) Incidence and predictors of silent myocardial infarction in type 2 diabetes and the effect of fenofibrate: an analysis from the Fenofibrate Intervention and Event Lowering in Diabetes (FIELD) study. Eur Heart J 31:92–99

    Article  PubMed  Google Scholar 

  7. Carluccio E, Tommasi S, Bentivoglio M, Buccolieri M, Prosciutti L, Corea L (2000) Usefulness of the severity and extent of wall motion abnormalities as prognostic markers of an adverse outcome after a first myocardial infarction treated with thrombolytic therapy. Am J Cardiol 85:411–415

    Article  PubMed  CAS  Google Scholar 

  8. Catalano O, Moro G, Cannizzaro G et al (2005) Scar detection by contrast-enhanced magnetic resonance imaging in chronic coronary artery disease: a comparison with nuclear imaging and echocardiography. J Cardiovasc Magn Reson 7:639–647

    PubMed  Google Scholar 

  9. Cheitlin MD, Alpert JS, Armstrong WF et al (1997) ACC/AHA guidelines for the clinical application of echocardiography: executive summary. A report of the American College of Cardiology/American Heart Association Task Force on practice guidelines (Committee on Clinical Application of Echocardiography). Developed in collaboration with the American Society of Echocardiography. J Am Coll Cardiol 29:862–879

    Article  PubMed  CAS  Google Scholar 

  10. Cheong BY, Muthupillai R, Wilson JM et al (2009) Prognostic significance of delayed-enhancement magnetic resonance imaging: survival of 857 patients with and without left ventricular dysfunction. Circulation 120:2069–2076

    Article  PubMed  Google Scholar 

  11. Chobanian AV, Bakris GL, Black HR et al (2003) The Seventh Report of the Joint National Committee on prevention, detection, evaluation, and treatment of high blood pressure: the JNC 7 report. JAMA 289:2560–2572

    Article  PubMed  CAS  Google Scholar 

  12. Cicala S, de Simone G, Roman MJ et al (2007) Prevalence and prognostic significance of wall-motion abnormalities in adults without clinically recognized cardiovascular disease: the Strong Heart Study. Circulation 116:143–150

    Article  PubMed  Google Scholar 

  13. Cockcroft DW, Gault MH (1976) Prediction of creatinine clearance from serum creatinine. Nephron 16:31–41

    Article  PubMed  CAS  Google Scholar 

  14. Colhoun HM, Betteridge DJ, Durrington PN et al (2004) Primary prevention of cardiovascular disease with atorvastatin in type 2 diabetes in the Collaborative Atorvastatin Diabetes Study (CARDS): multicentre randomised placebo-controlled trial. Lancet 364:685–696

    Article  PubMed  CAS  Google Scholar 

  15. DeLuca AJ, Kaplan S, Aronow WS et al (2006) Comparison of prevalence of unrecognized myocardial infarction and of silent myocardial ischemia detected by a treadmill exercise sestamibi stress test in patients with versus without diabetes mellitus. Am J Cardiol 98:1045–1046

    Article  PubMed  Google Scholar 

  16. Kannel WB, Abbott RD (1984) Incidence and prognosis of unrecognized myocardial infarction. An update on the Framingham study. N Engl J Med 311:1144–1147

    Article  PubMed  CAS  Google Scholar 

  17. Krittayaphong R, Boonyasirinant T, Chaithiraphan V, et al. Prognostic value of late gadolinium enhancement in hypertensive patients with known or suspected coronary artery disease. Int J Cardiovasc Imaging 26:123–131

  18. Kwong RY, Chan AK, Brown KA et al (2006) Impact of unrecognized myocardial scar detected by cardiac magnetic resonance imaging on event-free survival in patients presenting with signs or symptoms of coronary artery disease. Circulation 113:2733–2743

    Article  PubMed  Google Scholar 

  19. Kwong RY, Sattar H, Wu H et al (2008) Incidence and prognostic implication of unrecognized myocardial scar characterized by cardiac magnetic resonance in diabetic patients without clinical evidence of myocardial infarction. Circulation 118:1011–1020

    Article  PubMed  Google Scholar 

  20. Longmore DB, Klipstein RH, Underwood SR et al (1985) Dimensional accuracy of magnetic resonance in studies of the heart. Lancet 1:1360–1362

    Article  PubMed  CAS  Google Scholar 

  21. Miller S, Helber U, Brechtel K et al (2003) MR imaging at rest early after myocardial infarction: detection of preserved function in regions with evidence for ischemic injury and non-transmural myocardial infarction. Eur Radiol 13:498–506

    PubMed  Google Scholar 

  22. Moon JC, Lorenz CH, Francis JM, Smith GC, Pennell DJ (2002) Breath-hold FLASH and FISP cardiovascular MR imaging: left ventricular volume differences and reproducibility. Radiology 223:789–797

    Article  PubMed  Google Scholar 

  23. Ostergren J, Poulter NR, Sever PS et al (2008) The Anglo-Scandinavian Cardiac Outcomes Trial: blood pressure-lowering limb: effects in patients with type II diabetes. J Hypertens 26:2103–2111

    Article  PubMed  Google Scholar 

  24. Peels KH, Visser CA, Dambrink JH et al (1996) Left ventricular wall motion score as an early predictor of left ventricular dilation and mortality after first anterior infarction treated with thrombolysis. The CATS Investigators Group. Am J Cardiol 77:1149–1154

    Article  PubMed  CAS  Google Scholar 

  25. Ricciardi MJ, Wu E, Davidson CJ et al (2001) Visualization of discrete microinfarction after percutaneous coronary intervention associated with mild creatine kinase-MB elevation. Circulation 103:2780–2783

    Article  PubMed  CAS  Google Scholar 

  26. Rosamond WD, Chambless LE, Folsom AR et al (1998) Trends in the incidence of myocardial infarction and in mortality due to coronary heart disease, 1987 to 1994. N Engl J Med 339:861–867

    Article  PubMed  CAS  Google Scholar 

  27. Stein JH, Neumann A, Preston LM et al (1998) Improved risk stratification in unstable angina: identification of patients at low risk for in-hospital cardiac events by admission echocardiography. Clin Cardiol 21:725–730

    Article  PubMed  CAS  Google Scholar 

  28. Wackers FJ, Young LH, Inzucchi SE et al (2004) Detection of silent myocardial ischemia in asymptomatic diabetic subjects: the DIAD study. Diabetes Care 27:1954–1961

    Article  PubMed  Google Scholar 

  29. Wild S, Roglic G, Green A, Sicree R, King H (2004) Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care 27:1047–1053

    Article  PubMed  Google Scholar 

  30. Yano K, MacLean CJ (1989) The incidence and prognosis of unrecognized myocardial infarction in the Honolulu, Hawaii, Heart Program. Arch Intern Med 149:1528–1532

    Article  PubMed  CAS  Google Scholar 

  31. Yoon YE, Kitagawa K, Kato S et al (2012) Prognostic significance of unrecognized myocardial infarction detected with MR imaging in patients with impaired fasting glucose compared with those with diabetes. Radiology 262:807–815

    Article  PubMed  Google Scholar 

  32. 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  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hajime Sakuma.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Yoon, Y.E., Kitagawa, K., Kato, S. et al. Prognostic value of unrecognised myocardial infarction detected by late gadolinium-enhanced MRI in diabetic patients with normal global and regional left ventricular systolic function. Eur Radiol 23, 2101–2108 (2013). https://doi.org/10.1007/s00330-013-2817-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue date:

  • DOI: https://doi.org/10.1007/s00330-013-2817-y

Keywords

Profiles

  1. Yeonyee E. Yoon
  2. Kakuya Kitagawa