Department of Translational Medical Sciences, University Federico II, Naples, Italy
Institute of Biostructure and Bioimaging, National Council of Research, Naples, Italy
Department of Advanced Biomedical Sciences, University Federico II, Naples, Italy
SDN Foundation, Institute of Diagnostic and Nuclear Development, Naples, Italy
References: Consensus development conference on the diagnosis of coronary heart disease in people with diabetes (1998) Diabetes Care, 21, pp. 1551-1559. , American Diabetes Associatio
Kang, X., Berman, D.S., Lewin, H., Miranda, R., Erel, J., Friedman, J.D., Comparative ability of myocardial perfusion single-photon emission computed tomography to detect coronary artery disease in patients with and without diabetes mellitus (1999) Am Heart J, 137, pp. 949-957
Giri, S., Shaw, L.J., Murthy, D.R., Travin, M.I., Miller, D.D., Hachamovitch, R., 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, pp. 32-40
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) Am Heart J, 147, pp. 890-896
Wackers, F.J., Young, L.H., Inzucchi, S.E., Chyun, D.A., Davey, J.A., Barrett, E.J., Detection of silent myocardial ischemia in asymptomatic diabetic subjects: the DIAD study (2004) Diabetes Care, 27, pp. 1954-1961. , Detection of Ischemia in Asymptomatic Diabetics Investigators
Anand, D.V., Lim, E., Hopkins, D., Corder, R., Shaw, L.J., Sharp, P., Risk stratification in uncomplicated type 2 diabetes: prospective evaluation of the combined use of coronary artery calcium imaging and selective myocardial perfusion scintigraphy (2006) Eur Heart J, 27, pp. 713-721
Valensi, P., Pariès, J., Brulport-Cerisier, V., Torremocha, F., Sachs, R.N., Vanzetto, G., Predictive value of silent myocardial ischemia for cardiac events in diabetic patients: influence of age in a French multicenter study (2005) Diabetes Care, 28, pp. 2722-2727
Standards of medical care in diabetes-2013 (2013) Diabetes Care, 36 (SUPPL. 1), pp. S11-S66. , American Diabetes Association
Petretta, M., Cuocolo, A., Prediction models for risk classification in cardiovascular disease (2012) Eur J Nucl Med Mol Imaging, 39, pp. 1959-1969
Acampa, W., Petretta, M., Evangelista, L., Daniele, S., Xhoxhi, E., De Rimini, M.L., Myocardial perfusion imaging and risk classification for coronary heart disease in diabetic patients. The IDIS study: a prospective, multicentre trial (2012) Eur J Nucl Med Mol Imaging, 39, pp. 387-395
Stern, S., Sclarowsky, S., The ECG in diabetes mellitus (2009) Circulation, 120, pp. 1633-1636
Pfister, R., Cairns, R., Erdmann, E., Schneider, C.A., Prognostic impact of electrocardiographic signs in patients with Type 2 diabetes and cardiovascular disease: results from the PROactive study (2011) Diabet Med, 28, pp. 1206-1212. , PROactive Investigators
Davis, T.M., Coleman, R.L., Holman, R.R., Prognostic significance of silent myocardial infarction in newly diagnosed type 2 diabetes mellitus: United Kingdom Prospective Diabetes Study (UKPDS) 79 (2013) Circulation, 127, pp. 980-987. , UKPDS Group
Petretta, M., Acampa, W., Evangelista, L., Daniele, S., Ferro, A., Cuocolo, A., Impact of inducible ischemia by stress SPECT in cardiac risk assessment in diabetic patients: rationale and design of a prospective, multicenter trial (2008) J Nucl Cardiol, 15, pp. 100-104. , Impact of Inducible Ischemia by Stress SPECT (IDIS) Investigators
Cannon, C.P., Battler, A., Brindis, R.G., Cox, J.L., Ellis, S.G., Every, N.R., American College of Cardiology key data elements and definitions for measuring the clinical management and outcomes of patients with acute coronary syndromes. A report of the American College of Cardiology Task Force on Clinical Data Standards (Acute Coronary Syndromes Writing Committee) (2001) J Am Coll Cardiol, 38, pp. 2114-2130
Morise, A.P., Jalisi, F., Evaluation of pretest and exercise test scores to assess all-cause mortality in unselected patients presenting for exercise testing with symptoms of suspected coronary artery disease (2003) J Am Coll Cardiol, 42, pp. 842-850
Hesse, B., Tägil, K., Cuocolo, A., Anagnostopoulos, C., Bardiés, M., Bax, J., EANM/ESC procedural guidelines for myocardial perfusion imaging in nuclear cardiology (2005) Eur J Nucl Med Mol Imaging, 32, pp. 855-897. , EANM/ESC Group
Germano, G., Kavanagh, P.B., Waechter, P., Areeda, J., Van Kriekinge, S., Sharir, T., A new algorithm for the quantitation of myocardial perfusion SPECT. I: technical principles and reproducibility (2000) J Nucl Med, 41, pp. 712-719
Vickers, A.J., Cronin, A.M., Begg, C.B., One statistical test is sufficient for assessing new predictive markers (2011) BMC Med Res Methodol, 11, p. 13
Harrell, F.E., Lee, K.L., Mark, D.B., Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors (1996) Stat Med, 15, pp. 361-387
Pencina, M.J., D'Agostino, R.B., Steyerberg, E.W., Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers (2011) Stat Med, 30, pp. 11-21
Inoue, E., http://cran.r-project.org/web/packages/nricens/index.html, NRI for risk prediction models with time to event and binary response data. Available at:. [accessed September 2013]Pellegrini, E., Maurantonio, M., Giannico, I.M., Simonini, M.S., Ganazzi, D., Carulli, L., Risk for cardiovascular events in an Italian population of patients with type 2 diabetes (2011) Nutr Metab Cardiovasc Dis, 21, pp. 885-892
Stranges, S., Guallar, E., Cardiovascular disease prevention in women: a rapidly evolving scenario (2012) Nutr Metab Cardiovasc Dis, 22, pp. 1013-1018
De Berardis, G., D'Ettorre, A., Graziano, G., Lucisano, G., Pellegrini, F., Cammarota, S., The burden of hospitalization related to diabetes mellitus: a population-based study (2012) Nutr Metab Cardiovasc Dis, 22, pp. 605-612. , DADA (Diabetes Administrative Data Analysis) Study Group
Hammoud, T., Tanguay, J.F., Bourassa, M.G., Management of coronary artery disease: therapeutic options in patients with diabetes (2000) J Am Coll Cardiol, 36, pp. 355-365
Miller, T.D., Askew, J.W., Net reclassification improvement and integrated discrimination improvement: new standards for evaluating the incremental value of stress imaging for risk assessment (2013) Circ Cardiovasc Imaging, 6, pp. 496-498
Reclassification of cardiovascular risk by myocardial perfusion imaging in diabetic patients with abnormal resting electrocardiogram