Literature DB >> 35174442

Prevalence and predictors of automatically quantified myocardial ischemia within a multicenter international registry.

Donghee Han1, Alan Rozanski2, Robert J H Miller3, Tali Sharir4,5, Andrew J Einstein6, Mathews B Fish7, Terrence D Ruddy8, Philipp A Kaufmann9, Albert J Sinusas10, Edward J Miller10, Timothy M Bateman11, Sharmila Dorbala12, Marcelo Di Carli12, Joanna X Liang1, Damini Dey1, Daniel S Berman1, Piotr J Slomka1.   

Abstract

BACKGROUND: The utility of cardiac stress testing depends on the prevalence of myocardial ischemia within candidate populations. However, a comprehensive assessment of the factors influencing frequency of myocardial ischemia within contemporary populations referred for stress testing has not been performed.
METHODS: We assessed 19,690 patients undergoing nuclear stress testing from a multicenter registry. The chi-square test was used to assess the relative importance of features for predicting myocardial ischemia.
RESULTS: In the overall cohort, LVEF, male gender, and rest total perfusion deficit (TPD) were the top three predictors of ischemia, followed by CAD status, age, typical angina, and CAD risk factors. Myocardial ischemia was observed in 13.6 % of patients with LVEF > 55 %, in 26.2 % of patients with LVEF 45 %-54 %, and in 48.3% among patients with LVEF < 45 % (P < 0.001). A similar pattern was noted for rest TPD (P < 0.001). Men had a threefold higher frequency of ischemia versus women (25.8 % vs. 8.4%, P < 0.001). Although the relative ranking of ischemia predictors varied among centers, LVEF and/or rest TPD were among the two most potent predictors of myocardial ischemia within each center.
CONCLUSION: The prevalence of myocardial ischemia varied markedly according to clinical and imaging characteristics. LVEF and rest TPD are robust predictors of myocardial ischemia.
© 2022. The Author(s) under exclusive licence to American Society of Nuclear Cardiology.

Entities:  

Keywords:  Cardiac stress testing; Coronary artery disease; Myocardial ischemia; Myocardial perfusion imaging

Year:  2022        PMID: 35174442      PMCID: PMC9378748          DOI: 10.1007/s12350-021-02829-x

Source DB:  PubMed          Journal:  J Nucl Cardiol        ISSN: 1071-3581            Impact factor:   3.872


  20 in total

1.  A multi-center assessment of the temporal trends in myocardial perfusion imaging.

Authors:  W Lane Duvall; Mridula Rai; Alan W Ahlberg; David M O'Sullivan; Milena J Henzlova
Journal:  J Nucl Cardiol       Date:  2015-02-05       Impact factor: 5.952

2.  Analysis of probability as an aid in the clinical diagnosis of coronary-artery disease.

Authors:  G A Diamond; J S Forrester
Journal:  N Engl J Med       Date:  1979-06-14       Impact factor: 91.245

3.  Appropriate Use Criteria for PET Myocardial Perfusion Imaging.

Authors:  Thomas H Schindler; Timothy M Bateman; Daniel S Berman; Panithaya Chareonthaitawee; Lorraine E De Blanche; Vasken Dilsizian; Sharmila Dorbala; Robert J Gropler; Leslee Shaw; Prem Soman; David E Winchester; Hein Verberne; Sukhjeet Ahuja; Rob S Beanlands; Marcelo F Di Carli; Venkatesh L Murthy; Terrence D Ruddy; Ronald G Schwartz
Journal:  J Nucl Med       Date:  2020-08       Impact factor: 10.057

4.  Will REFINE Resurrect the "Ischemia Hypothesis"?

Authors:  William E Boden; Gordon M Burke
Journal:  JACC Cardiovasc Imaging       Date:  2020-08-19

5.  Use of coronary calcium scanning for predicting inducible myocardial ischemia: Influence of patients' clinical presentation.

Authors:  Alan Rozanski; Heidi Gransar; Nathan D Wong; Leslee J Shaw; Romalisa Miranda-Peats; Sean W Hayes; John D Friedman; Daniel S Berman
Journal:  J Nucl Cardiol       Date:  2007 Sep-Oct       Impact factor: 5.952

6.  Temporal trends in the frequency of inducible myocardial ischemia during cardiac stress testing: 1991 to 2009.

Authors:  Alan Rozanski; Heidi Gransar; Sean W Hayes; James Min; John D Friedman; Louise E J Thomson; Daniel S Berman
Journal:  J Am Coll Cardiol       Date:  2013-03-12       Impact factor: 24.094

7.  National trends in visits to physician offices and outpatient clinics for angina 1995 to 2010.

Authors:  Julie C Will; Fleetwood Loustalot; Yuling Hong
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2014-01-14

8.  The coronary artery calcium score and stress myocardial perfusion imaging provide independent and complementary prediction of cardiac risk.

Authors:  Su Min Chang; Faisal Nabi; Jiaqiong Xu; Leif E Peterson; Arup Achari; Craig M Pratt; John J Mahmarian
Journal:  J Am Coll Cardiol       Date:  2009-11-10       Impact factor: 24.094

9.  Initial Invasive or Conservative Strategy for Stable Coronary Disease.

Authors:  David J Maron; Judith S Hochman; Harmony R Reynolds; Sripal Bangalore; Sean M O'Brien; William E Boden; Bernard R Chaitman; Roxy Senior; Jose López-Sendón; Karen P Alexander; Renato D Lopes; Leslee J Shaw; Jeffrey S Berger; Jonathan D Newman; Mandeep S Sidhu; Shaun G Goodman; Witold Ruzyllo; Gilbert Gosselin; Aldo P Maggioni; Harvey D White; Balram Bhargava; James K Min; G B John Mancini; Daniel S Berman; Michael H Picard; Raymond Y Kwong; Ziad A Ali; Daniel B Mark; John A Spertus; Mangalath N Krishnan; Ahmed Elghamaz; Nagaraja Moorthy; Whady A Hueb; Marcin Demkow; Kreton Mavromatis; Olga Bockeria; Jesus Peteiro; Todd D Miller; Hanna Szwed; Rolf Doerr; Matyas Keltai; Joseph B Selvanayagam; P Gabriel Steg; Claes Held; Shun Kohsaka; Stavroula Mavromichalis; Ruth Kirby; Neal O Jeffries; Frank E Harrell; Frank W Rockhold; Samuel Broderick; T Bruce Ferguson; David O Williams; Robert A Harrington; Gregg W Stone; Yves Rosenberg
Journal:  N Engl J Med       Date:  2020-03-30       Impact factor: 91.245

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.