Myocardial perfusion imaging and risk classification for coronary heart disease in diabetic patients. The IDIS study: A prospective, multicentre trial(430 views) Acampa W, Petretta M, Evangelista L, Daniele S, Xhoxhi E, De Rimini ML, Cittanti C, Marranzano F, Spadafora M, Baldari S, Mansi L, Cuocolo A
Department of Biomorphological and Functional Sciences, University Federico II, Napoli, Italy
Institute of Biostructures and Bioimages, National Council of Research, Napoli, Italy
Department of Clinical Medicine, Cardiovascular and Immunological Sciences, University Federico II, Napoli, Italy
SDN Foundation, Institute of Diagnostic and Nuclear Development, Napoli, Italy
Nuclear Medicine Section, Monaldi Hospital, Napoli, Italy
Department of Radiological Sciences, University of Ferrara, Ferrara, Italy
Department of Imaging, San Giuseppe Moscati Hospital, Avellino, Italy
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Young, L.H., Wackers, F.J., Chyun, D.A., Davey, J.A., Barrett, E.J., Taillefer, R., Cardiac outcomes after screening for asymptomatic coronary artery disease in patients with type 2 diabetes: The DIAD study: A randomized controlled trial (2009) JAMA, 301, pp. 1547-1555
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Cook, N.R., Statistical evaluation of prognostic versus diagnostic models: Beyond the ROC curve (2008) Clinical Chemistry, 54 (1), pp. 17-23. , http://www.clinchem.org/cgi/reprint/54/1/17, DOI 10.1373/clinchem.2007.096529
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Polonsky, T.S., McClelland, R.L., Jorgensen, N.W., Bild, D.E., Burke, G.L., Guerci, A.D., Coronary artery calcium score and risk classification for coronary heart disease prediction (2010) JAMA, 30, pp. 1610-1616
Miller, T.D., Redberg, R.F., Wackers, F.J.T., Screening Asymptomatic Diabetic Patients for Coronary Artery Disease. Why Not? (2006) Journal of the American College of Cardiology, 48 (4), pp. 761-764. , DOI 10.1016/j.jacc.2006.04.076, PII S0735109706013301
Winocour, P.H., Fisher, M., Prediction of cardiovascular risk in people with diabetes (2003) Diabetic Medicine, 20 (7), pp. 515-527. , DOI 10.1046/j.1464-5491.2003.00934.x
Haffner, S. M., Lehto, S., Ronnemaa, T., Pyorala, K., Laakso, M., Mortality from coronary heart disease in subjects with type 2 diabetes and in nondiabetic subjects with and without prior myocardial infarction (1998) New England Journal of Medicine, 339 (4), pp. 229-234. , DOI 10. 1056/NEJM19980723339040
Giri, S., Shaw, L. J., Murthy, D. R., Travin, M. I., Miller, D. D., Hachamovitch, R., Borges-Neto, S., Heller, G. V., 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 (2002) Circulation, 105 (1), pp. 32-40. , DOI 10. 1161/hc5001. 100528
Shaw, L. J., Berman, D. S., Hendel, R. C., Alazraki, N., Krawczynska, E., Borges-Neto, S., Cardiovascular disease risk stratification with stress single-photon emission computed tomography technetium- 99m tetrofosmin imaging in patients with the metabolic syndrome and diabetes mellitus (2006) Am J Cardiol, 97, pp. 1538-1544
Miller, T. D., Rajagopalan, N., Hodge, D. O., Frye, R. L., Gibbons, R. J., Yield of stress single-photon emission computed tomography in asymptomatic patients with diabetes (2004) American Heart Journal, 147 (5), pp. 890-896. , DOI 10. 1016/j. ahj. 2003. 08. 015, PII S0002870303007919
Wackers, F. J. Th., Young, L. H., Inzucchi, S. E., Chyun, D. A., Davey, J. A., Barrett, E. J., Taillefer, R., Iskandrian, A. E., Detection of silent myocardial ischemia in asymptomatic diabetic subjects: The DIAD study (2004) Diabetes Care, 27 (8), pp. 1954-1961. , DOI 10. 2337/diacare. 27. 8. 1954
Pencina, M. J., D'Agostino Sr., R. B., D'Agostino Jr., R. B., Vasan, R. S., Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond (2008) Statistics in Medicine, 27 (2), pp. 157-172. , DOI 10. 1002/sim. 2929
Lloyd-Jones, D. M., Cardiovascular risk prediction: Basic concepts, current status, and future directions (2010) Circulation., 121, pp. 1768-1777
Shaw, L. J., The new era of risk reclassification in cardiovascular imaging (2011) J Nucl Cardiol, 18, pp. 536-537
Shaw, L. J., Wilson, P. W. F., Hachamovitch, R., Hendel, R. C., Borges-Neto, S., Berman, D. S., Improved near-term coronary artery disease risk classification with gated stress myocardial perfusion SPECT (2010) JACC Cardiovasc Imaging, 3, pp. 1139-1148
Diamond, G. A., Staniloff, H. M., Forrester, J. S., Computer-assisted diagnosis in the noninvasive evaluation of patients with suspected coronary artery disease (1983) Journal of the American College of Cardiology, 1 (2 I), pp. 444-455
Cerqueira, M. D., Weissman, N. J., Dilsizian, V., Jacobs, A. K., Kaul, S., Laskey, W. K., Pennell, D. J., Verani, M. S., Standardized myocardial sementation and nomenclature for tomographic imaging of the heart: A Statement for Healthcare Professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association (2002) Circulation, 105 (4), pp. 539-542. , DOI 10. 1161/hc0402. 102975
Harrell Jr., F. E., (2000) Predicting Outcomes: Applied Survival Analysis and Logistic Regression, , Charlottesville, VA: University of Virginia
Grundy, S. M., Pasternak, R., Greenland, P., Smith Jr., S., Fuster, V., Assessment of cardiovascular risk by use of multiple-risk-factor assessment equations: A statement for healthcare professionals from the American Heart Association and the American College of Cardiology (1999) Circulation, 100 (13), pp. 1481-1492
Saely, C. H., Aczel, S., Koch, L., Schmid, F., Marte, T., Huber, K., Diabetes as a coronary artery disease risk equivalent: Before a change of paradigm? (2010) Eur J Cardiovasc Prev Rehabil, 17, pp. 94-99
Young, L. H., Wackers, F. J., Chyun, D. A., Davey, J. A., Barrett, E. J., Taillefer, R., Cardiac outcomes after screening for asymptomatic coronary artery disease in patients with type 2 diabetes: The DIAD study: A randomized controlled trial (2009) JAMA, 301, pp. 1547-1555
Zellweger, M. J., Hachamovitch, R., Kang, X., Hayes, S. W., Friedman, J. D., Germano, G., Pfisterer, M. E., Berman, D. S., Prognostic relevance of symptoms versus objective evidence of coronary artery disease in diabetic patients (2004) European Heart Journal, 25 (7), pp. 543-550. , DOI 10. 1016/j. ehj. 2004. 02. 013
Cook, N. R., Statistical evaluation of prognostic versus diagnostic models: Beyond the ROC curve (2008) Clinical Chemistry, 54 (1), pp. 17-23. , http: //www. clinchem. org/cgi/reprint/54/1/17, DOI 10. 1373/clinchem. 2007. 096529
Ridker, P. M., Buring, J. E., Rifai, N., Cook, N. R., Development and validation of improved algorithms for the assessment of global cardiovascular risk in women: The Reynolds Risk Score (2007) JAMA, 297, pp. 611-619
Polonsky, T. S., McClelland, R. L., Jorgensen, N. W., Bild, D. E., Burke, G. L., Guerci, A. D., Coronary artery calcium score and risk classification for coronary heart disease prediction (2010) JAMA, 30, pp. 1610-1616
Miller, T. D., Redberg, R. F., Wackers, F. J. T., Screening Asymptomatic Diabetic Patients for Coronary Artery Disease. Why Not? (2006) Journal of the American College of Cardiology, 48 (4), pp. 761-764. , DOI 10. 1016/j. jacc. 2006. 04. 076, PII S0735109706013301
Winocour, P. H., Fisher, M., Prediction of cardiovascular risk in people with diabetes (2003) Diabetic Medicine, 20 (7), pp. 515-527. , DOI 10. 1046/j. 1464-5491. 2003. 00934. x
Myocardial perfusion imaging and risk classification for coronary heart disease in diabetic patients. The IDIS study: A prospective, multicentre trial
Purpose: To determine whether stress-rest myocardial perfusion single-photon emission (MPS) computed tomography improves coronary heart disease (CHD) risk classification in diabetic patients. Methods: In 822 consecutive diabetic patients, risk estimates for a CHD event were categorized as 0% to
Myocardial perfusion imaging and risk classification for coronary heart disease in diabetic patients. The IDIS study: A prospective, multicentre trial