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Risk stratification by cardiac gated SPECT combined with coronary artery calcium score in patients with diabetes mellitus and/ or renal failure


Authors: I. Metelková 1;  M. Kamínek 1;  E. Sovová 2;  M. Hutyra 2;  M. Budíková 1 ;  E. Buriánková 1;  R. Formánek 1;  L. Henzlová 1;  R. Metelka 3
Authors place of work: Klinika nukleární medicíny Lékařské fakulty UP a FN Olomouc, přednosta doc. MU Dr. Miroslav Mysliveček, Ph. D. 1;  I. interní klinika Lékařské fakulty UP a FN Olomouc, přednosta doc. MU Dr. Miloš Táborský, CSc., FESC, MBA 2;  III. interní klinika Lékařské fakulty UP a FN Olomouc, přednosta prof. MU Dr. Vlastimil Ščudla, CSc. 3
Published in the journal: Vnitř Lék 2010; 56(11): 1122-1129
Category: Original Contributions

Summary

Aim:
The aim of this study was to evaluate added value of coronary artery calcium score (CAC) measurement as an adjunct to cardiac gated SPECT for risk stratification in population of patients with diabetes mellitus (DM) and/ or chronic renal failure on hemodialysis (CHRF‑ HD).

Methods:
Retrospective analysis of 67 patients, who were referred for stress gated myocardial perfusion SPECT and CAC. Characteristics of study population: 40 men, mean age 59 ± 12 years, DM (n = 28), CHRF‑ HD (n = 22), DM and CHRF‑ HD simultaneously (n = 17). Perfusion summed stress and different scores (SSS, SDS), the left ventricle ejection fraction (LVEF) and enddiastolic/ endsystolic volumes (EDV/ ESV) were automatically calculated using 4D‑ MSPECT software. The hard cardiac event was defined as sudden cardiac death or myocardial infarction (MI); angina or other symptoms requiring coronary revascularization were also calculated.

Results:
During the average period of 18 ± 10 months, we registered 8 cardiac deaths, 4 nonfatal MI and 7 patients underwent revascularization. In the subgroup of 19 patients with cardiac events, the observed parameters were significantly worse concerning perfusion (SSS 9 ± 11 vs 2 ± 3 and SDS 6 ± 9 vs 1 ± 2, P < 0.05), the left ventricle function (stress LVEF 53% ± 13% vs 59% ± 13 %, rest LVEF 55% ± 14% vs 59% ± 12%, stress EDV/ ESV 144 ml/ 71 ml vs 128 ml/ 59 ml, P < 0.05), and CAC score (1 965 ± 1 772 vs 387 ± 740, P < 0.05) in comparison with patients without cardiac event. In patients without a reversible perfusion abnormality (SDS < 2), we observed lower annual hard event rate (8% vs 19.6%, P < 0.05) and revascularization procedures (4% vs 19.6%, P < 0.05) in comparison with patients with SDS ≥ 2. In patients with or without reversible defects, we registered significantly higher annual hard event rate in the setting of post‑stress worsening of the LVEF > 5% and/ or severe CAC score ≥ 709 (23.8% vs 1.9% in patients with SDS < 2, and 26.7% vs 9.5% in patients with SDS ≥ 2, P < 0.05).

Conclusion:
The findings of highly elevated CAC score as well as the post‑stress left ventricle stunning enable further risk stratification in patients with or without reversible perfusion abnormalities.

Key words:
diabetes mellitus –  renal failure –  coronary artery disease –  coronary calcium score –  stress cardiac SPECT


Zdroje

1. Zemřelí 2008. Zdravotnická statistika. Praha: Ústav zdravotnických informací a statistiky ČR 2009.

2. Charvát J et al. Diabetes mellitus a makrovaskulární komplikace. Praha: Triton 2001.

3. Anand DV, Lim E, Lahiri A et al. The role of non‑invasive imaging in the risk stratification of asymptomatic diabetic subjects. Eur Heart J 2006; 27: 905– 912.

4. Wackers FJ, Chyun DA, Young LH et al. Resolution of asymptomatic myocardial ischemia in patients with type 2 diabetes in the Detection of Ischemia in Asymptomatic Diabetics (DIAD) study. Diabetes Care 2007; 30: 2892– 2898.

5. Cheung AK, Sarnak MJ, Yan G et al. Cardiac diseases in maintenance hemodialysis patients: result if the HEMO Study. Kidney Int 2004; 65: 2380– 2389.

6. United States Renal Data System. Excerpts from USRDS 2009 Annual Data Report. U.S. Department of Health and Human Services. The National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases. Am J Kidney Dis 2010; 55 (Suppl 1): S1.

7. Zahálková J, Metelka R, Petejová N et al. Hodnocení cévních změn u pacientů s chronickým selháním ledvin. Aktuality v nefrologii 2008; 14: 98– 105.

8. Goraya TY, Leibson CL, Palumbo PJ et al. Coronary atherosclerosis in diabetes mellitus: a population‑based autopsy study. J Am Coll Cardiol 2002; 40: 946– 953.

9. Fadini GP, de Kreutzenberg SV, Tiengo A et al. Why to screen heart disease in diabetes. Atherosclerosis 2009; 204: 11– 15.

10. Goldsmith DJ, Covic A. Coronary artery disease in uremia: etiology, diagnosis, and therapy. Kidney Int 2001; 60: 2059– 2078.

11. Lang O, Kamínek M, Trojanová H. Nukleární kardiologie. Praha: Galén 2008.

12. Germano G, Berman DS. Regional and Global Ventricular Function and Volumes from Single‑Photon Emission Computed Tomography Perfusion Imaging. In: Zaret BL, Beller GA (eds). Clinical nuclear cardiology. 3rd ed. Philadelphia: Elsevier Mosby 2005: 189– 212.

13. Metelková I, Kamínek M, Ostřanský J et al. Senzitivita a specificita zátěžového gated SPECT‑ zobrazení myokardu pro detekci ischemické choroby srdeční: validace nálezů pomocí koronarografie. Cor Vasa 2005; 50: 191– 194.

14. Hachamovitch R, Berman DS, Shaw LJ et al. Incremental prognostic value of myocardial perfusion single photon emission computed tomography for the prediction of cardiac death: differential stratification for risk of cardiac death and myocardial infarction. Circulation 1998; 97: 535– 543.

15. Kamínek M, Škvařilová M, Ostřanský J et al. Zjištěné tranzientní poischemické omráčení levé komory (technikou gated SPECT) pomáhá při identifikaci pacientů s nemocí více koronárních tepen. Cor Vasa 2004; 46: 188– 192.

16. Kamínek M, Metelková I, Budíková M et al. Prognostický význam zátěžového zobrazení myokardiální perfuze a funkce levé komory jednofotonovou emisní tomografií. Cor Vasa 2008; 50: 373– 377.

17. Schepis T, Gaemperli O, Koepfli P et al. Added value of coronary artery calcium score as an adjunct to gated SPECT for the evaluation of coronary artery disease in an intermediate risk population. J Nucl Med 2007; 48: 1424– 1430.

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

19. Lee KH, Jang HJ, Kim YH et al. Prognostic value of cardiac autonomic neuropathy independent and incremental to perfusion defects in patients with diabetes and suspected coronary artery disease. Am J Cardiol 2003; 92: 1458– 1461.

20. Kamínek M, Mysliveček M, Škvařilová M et al. Prognostický význam zátěžové tomografické scintigrafie myokardiální perfuze u diabetických pacientů. Vnitř Lék 2001; 47: 739– 743.

21. Giri S, Shaw LJ, Murthy DR et al. Impact of diabetes on the risk stratification using stress single‑photon emission computed tomography myocardial perfusion imaging in patients with symptoms suggestive of coronary artery disease. Circulation 2002; 105: 32– 40.

22. Kim SB, Lee SK, Park JS et al. Prevalence of coronary artery disease using thallium‑ 201 single photon emission computed tomography among patients newly undergoing chronic peritoneal dialysis and its association with mortality. Am J Nephrol 2004; 24: 448– 452.

23. Okwuosa T, Williams KA. Coronary artery disease and nuclear imaging in renal failure. J Nucl Cardiol 2006; 13: 150– 155.

24. Ward RP, Al‑ Mallah MH, Grossman GB et al. American Society of Nuclear Cardiology review of the ACCF/ ASNC appropriateness criteria for single‑photon emission computed tomography myocardial perfusion imaging (SPECT MPI). J Nucl Cardiol 2007; 14: e26– e38.

25. Greenland P, Bonow RO, Brundage BH et al. ACCF/ AHA 2007 clinical expert consensus document on coronary artery calcium scoring by computed tomography in global cardiovascular risk assessment and in evaluation of patients with chest pain: a report of the American College of Cardiology Foundation Clinical Expert Consensus Task Force. Circulation 2007; 115: 402– 426.

26. Sovová E, Kamínek M, Horák D et al. Stanovení kalciového skóre pomocí výpočetní tomografie (CT) v kombinaci se zátěžovým SPECT zobrazením myokardiální perfuze. Prakt Lék 2007; 87: 554– 558.

27. Uebleis C, Becker A, Griesshammer I et al. Stable coronary artery disease: prognostic value of myocardial perfusion SPECT in relation to coronary calcium scoring –  long‑term follow‑up. Radiology 2009; 252: 682– 690.

28. Anand DV, Lim E, Hopkins D et al. Risk stratification in uncomplicted type 2 diabetes prospective evaluation of the combined use of coronary artery calcium imaging and selective myocardial perfusion scintigraphy. Eur Heart J 2006; 27: 713– 721.

29. Rosário MA, Lima JJ, Parga JR et al. Coronary calcium score as predictor of stenosis and events in pretransplant renal chronic failure. Arq Bras Cardiol 2010; 94: 236– 243.

30. Sovová E, Kamínek M, Richter M et al. The role of coronary calcium score in predicting myocardial infarction. Morning well, afternoon hell. Cor Vasa 2010; 52: 275– 276.

Štítky
Diabetology Endocrinology Internal medicine

Článok vyšiel v časopise

Internal Medicine

Číslo 11

2010 Číslo 11
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