Literature DB >> 17398204

Assessing prognosis in patients with diabetes mellitus--the Achilles' heel of cardiac stress imaging tests?

Masoor Kamalesh1, Harvey Feigenbaum, Stephen Sawada.   

Abstract

The prognostic utility of stress imaging studies has been validated in numerous studies and, in general, patients with a normal imaging study have annual cardiac ischemic event rates of <1%. However, this predictive value of a normal stress imaging study does not appear to be applicable to subjects with diabetes. In this editorial, we summarize the current available data on prognostic utility of stress imaging studies in subjects with diabetes and provide insights into how to interpret and integrate these data for daily clinical practice. In conclusion, currently available data suggest that the prognostic value of stress imaging studies in subjects with diabetes differs from those without diabetes and should be interpreted as such.

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Year:  2007        PMID: 17398204     DOI: 10.1016/j.amjcard.2006.10.071

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  14 in total

Review 1.  Cardiac computed tomography and myocardial perfusion imaging for risk stratification in asymptomatic diabetic patients: a critical review.

Authors:  Ajay Yerramasu; Shreenidhi Venuraju Maggae; Avijit Lahiri; Dhakshinamurthy Vijay Anand
Journal:  J Nucl Cardiol       Date:  2007-12-26       Impact factor: 5.952

2.  Risk stratification in diabetic patients: a continuing challenge.

Authors:  Todd D Miller; Leslee J Shaw
Journal:  J Nucl Cardiol       Date:  2009-06-18       Impact factor: 5.952

Review 3.  Stress echocardiography for the detection and assessment of coronary artery disease.

Authors:  Nowell M Fine; Patricia A Pellikka
Journal:  J Nucl Cardiol       Date:  2011-05       Impact factor: 5.952

4.  MDCT assessment of CAD in type-2 diabetic subjects with diabetic neuropathy: the role of Charcot neuro-arthropathy.

Authors:  Riccardo Marano; Dario Pitocco; Enrico Di Stasio; Giancarlo Savino; Biagio Merlino; Carlo Trani; Federica Pirro; Claudia Rutigliano; Carolina Santangelo; Aurelian Costin Minoiu; Luigi Natale; Lorenzo Bonomo
Journal:  Eur Radiol       Date:  2015-07-03       Impact factor: 5.315

Review 5.  Assessing clinical impact of myocardial perfusion studies: ischemia or other prognostic indicators?

Authors:  Todd D Miller; John Wells Askew; Joerg Herrmann
Journal:  Curr Cardiol Rep       Date:  2014-04       Impact factor: 2.931

6.  Prognostic value of coronary computed tomographic angiography in diabetic patients without known coronary artery disease.

Authors:  Martin Hadamitzky; Franziska Hein; Tanja Meyer; Bernhard Bischoff; Stefan Martinoff; Albert Schömig; Jörg Hausleiter
Journal:  Diabetes Care       Date:  2010-03-03       Impact factor: 17.152

7.  Prognostic value of 64-slice coronary angiography in diabetes mellitus patients with known or suspected coronary artery disease compared with a nondiabetic population.

Authors:  F Cademartiri; S Seitun; M Romano; E Maffei; M Fusaro; A Palumbo; A Aldrovandi; G Messalli; S Tresoldi; R Malagò; V Brambilla
Journal:  Radiol Med       Date:  2008-05-13       Impact factor: 3.469

8.  Prognostic value of coronary CT angiography in diabetic patients: a 5-year follow up study.

Authors:  Jonathan Nadjiri; Jörg Hausleiter; Simon Deseive; Albrecht Will; Eva Hendrich; Stefan Martinoff; Martin Hadamitzky
Journal:  Int J Cardiovasc Imaging       Date:  2015-10-10       Impact factor: 2.357

9.  Characteristics of coronary artery lesion in patients with and without diabetes mellitus.

Authors:  S Jia; S Mi; Y Zhou; H Zheng; H Yang
Journal:  Ir J Med Sci       Date:  2015-10-06       Impact factor: 1.568

10.  Prognostic value of multidetector computed tomography coronary angiography in diabetes: excellent long-term prognosis in patients with normal coronary arteries.

Authors:  Daniele Andreini; Gianluca Pontone; Saima Mushtaq; Erika Bertella; Edoardo Conte; Andrea Baggiano; Fabrizio Veglia; Piergiuseppe Agostoni; Andrea Annoni; Alberto Formenti; Piero Montorsi; Giovanni Ballerini; Antonio L Bartorelli; Cesare Fiorentini; Mauro Pepi
Journal:  Diabetes Care       Date:  2013-07       Impact factor: 19.112

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