Literature DB >> 31776140

Myocardial Ischemic Burden and Differences in Prognosis Among Patients With and Without Diabetes: Results From the Multicenter International REFINE SPECT Registry.

Donghee Han1, Alan Rozanski2, Heidi Gransar1, Tali Sharir3,4, Andrew J Einstein5, Mathews B Fish6, Terrence D Ruddy7, Philipp A Kaufmann8, Albert J Sinusas9, Edward J Miller9, Timothy M Bateman10, Sharmila Dorbala11, Marcelo Di Carli11, Joanna X Liang1, Lien-Hsin Hu1,12, Guido Germano1, Damini Dey1, Daniel S Berman1, Piotr J Slomka13.   

Abstract

OBJECTIVE: Prevalence and prognostic impact of cardiovascular disease differ between patients with or without diabetes. We aimed to explore differences in the prevalence and prognosis of myocardial ischemia by automated quantification of total perfusion deficit (TPD) among patients with and without diabetes. RESEARCH DESIGN AND METHODS: Of 20,418 individuals who underwent single-photon emission computed tomography myocardial perfusion imaging, 2,951 patients with diabetes were matched to 2,951 patients without diabetes based on risk factors using propensity score. TPD was categorized as TPD = 0%, 0% < TPD < 1%, 1% ≤ TPD < 5%, 5% ≤ TPD ≤ 10%, and TPD >10%. Major adverse cardiovascular events (MACE) were defined as a composite of all-cause mortality, myocardial infarction, unstable angina, or late revascularization.
RESULTS: MACE risk was increased in patients with diabetes compared with patients without diabetes at each level of TPD above 0 (P < 0.001 for interaction). In patients with TPD >10%, patients with diabetes had greater than twice the MACE risk compared with patients without diabetes (annualized MACE rate 9.4 [95% CI 6.7-11.6] and 3.9 [95% CI 2.8-5.6], respectively, P < 0.001). Patients with diabetes with even very minimal TPD (0% < TPD < 1%) experienced a higher risk for MACE than those with 0% TPD (hazard ratio 2.05 [95% CI 1.21-3.47], P = 0.007). Patients with diabetes with a TPD of 0.5% had a similar MACE risk as patients without diabetes with a TPD of 8%.
CONCLUSIONS: For every level of TPD >0%, even a very minimal deficit of 0% < TPD < 1%, the MACE risk was higher in the patients with diabetes compared with patients without diabetes. Patients with diabetes with minimal ischemia had comparable MACE risk as patients without diabetes with significant ischemia.
© 2019 by the American Diabetes Association.

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Year:  2019        PMID: 31776140      PMCID: PMC6971784          DOI: 10.2337/dc19-1360

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   17.152


  28 in total

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Authors:  T A Gooley; W Leisenring; J Crowley; B E Storer
Journal:  Stat Med       Date:  1999-03-30       Impact factor: 2.373

2.  Cause-specific cumulative incidence estimation and the fine and gray model under both left truncation and right censoring.

Authors:  Ronald B Geskus
Journal:  Biometrics       Date:  2011-03       Impact factor: 2.571

3.  Automated quantification of myocardial perfusion SPECT using simplified normal limits.

Authors:  Piotr J Slomka; Hidetaka Nishina; Daniel S Berman; Cigdem Akincioglu; Aiden Abidov; John D Friedman; Sean W Hayes; Guido Germano
Journal:  J Nucl Cardiol       Date:  2005 Jan-Feb       Impact factor: 5.952

4.  Rationale and design of the REgistry of Fast Myocardial Perfusion Imaging with NExt generation SPECT (REFINE SPECT).

Authors:  Piotr J Slomka; Julian Betancur; Joanna X Liang; Yuka Otaki; Lien-Hsin Hu; Tali Sharir; Sharmila Dorbala; Marcelo Di Carli; Mathews B Fish; Terrence D Ruddy; Timothy M Bateman; Andrew J Einstein; Philipp A Kaufmann; Edward J Miller; Albert J Sinusas; Peyman N Azadani; Heidi Gransar; Balaji K Tamarappoo; Damini Dey; Daniel S Berman; Guido Germano
Journal:  J Nucl Cardiol       Date:  2018-06-19       Impact factor: 5.952

5.  Impact of left ventricular function and the extent of ischemia and scar by stress myocardial perfusion imaging on prognosis and therapeutic risk reduction in diabetic patients with coronary artery disease: results from the Bypass Angioplasty Revascularization Investigation 2 Diabetes (BARI 2D) trial.

Authors:  Leslee J Shaw; Manuel D Cerqueira; Maria M Brooks; Andrew D Althouse; Veronica V Sansing; George A Beller; Rodica Pop-Busui; Raymond Taillefer; Bernard R Chaitman; Raymond J Gibbons; Jaekyeong Heo; Ami E Iskandrian
Journal:  J Nucl Cardiol       Date:  2012-04-19       Impact factor: 5.952

6.  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.

Authors:  Satyendra Giri; Leslee J Shaw; Dakshina R Murthy; Mark I Travin; D Douglas Miller; Rory Hachamovitch; Salvadore Borges-Neto; Daniel S Berman; David D Waters; Gary V Heller
Journal:  Circulation       Date:  2002-01-01       Impact factor: 29.690

7.  Prognostic value of automated quantification of 99mTc-sestamibi myocardial perfusion imaging.

Authors:  William D Leslie; Shawn A Tully; Marina S Yogendran; Linda M Ward; Khaled A Nour; Colleen J Metge
Journal:  J Nucl Med       Date:  2005-02       Impact factor: 10.057

8.  Prognostic Value of Combined Clinical and Myocardial Perfusion Imaging Data Using Machine Learning.

Authors:  Julian Betancur; Yuka Otaki; Manish Motwani; Mathews B Fish; Mark Lemley; Damini Dey; Heidi Gransar; Balaji Tamarappoo; Guido Germano; Tali Sharir; Daniel S Berman; Piotr J Slomka
Journal:  JACC Cardiovasc Imaging       Date:  2017-10-18

9.  Are shades of gray prognostically useful in reporting myocardial perfusion single-photon emission computed tomography?

Authors:  Aiden Abidov; Rory Hachamovitch; Sean W Hayes; John D Friedman; Ishac Cohen; Xingping Kang; Ling De Yang; Louise Thomson; Guido Germano; Piotr Slomka; Daniel S Berman
Journal:  Circ Cardiovasc Imaging       Date:  2009-05-11       Impact factor: 7.792

10.  Introduction to the Analysis of Survival Data in the Presence of Competing Risks.

Authors:  Peter C Austin; Douglas S Lee; Jason P Fine
Journal:  Circulation       Date:  2016-02-09       Impact factor: 29.690

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1.  Activation of Nrf2 Signaling by Apelin Attenuates Renal Ischemia Reperfusion Injury in Diabetic Rats.

Authors:  Xiaobo Zhang; Ying Zhu; Ying Zhou; Bingru Fei
Journal:  Diabetes Metab Syndr Obes       Date:  2020-06-23       Impact factor: 3.168

Review 2.  An Overview of the Molecular Mechanisms Associated with Myocardial Ischemic Injury: State of the Art and Translational Perspectives.

Authors:  Leonardo Schirone; Maurizio Forte; Luca D'Ambrosio; Valentina Valenti; Daniele Vecchio; Sonia Schiavon; Giulia Spinosa; Gianmarco Sarto; Vincenzo Petrozza; Giacomo Frati; Sebastiano Sciarretta
Journal:  Cells       Date:  2022-03-30       Impact factor: 6.600

3.  Diagnostic and Predictive Values of Circulating Extracellular Vesicle-Carried microRNAs in Ischemic Heart Disease Patients With Type 2 Diabetes Mellitus.

Authors:  Li Zhang; Jianchao Zhang; Zhen Qin; Na Liu; Zenglei Zhang; Yongzheng Lu; Yanyan Xu; Jinying Zhang; Junnan Tang
Journal:  Front Cardiovasc Med       Date:  2022-02-28
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