Literature DB >> 33913097

Prediction of 2-year major adverse cardiac events from myocardial perfusion scintigraphy and clinical risk factors.

William D Leslie1,2, Mark Bryanton3, Andrew Goertzen3, Piotr Slomka4.   

Abstract

BACKGROUND: We developed CRAX2MACE, a new tool derived from clinical and SPECT myocardial perfusion imaging (MPI) variables, to predict 2-year probability of major adverse cardiac event (MACE) comprising death, hospitalized acute myocardial infarction or coronary revascularization.
METHODS: Consecutive individuals with SPECT MPI 2001-2008 had two-year MACE determined from population-based health services data. CRAX2MACE included age, sex, diabetes, recent cardiac hospitalization, pharmacologic stress, stress total perfusion deficit (TPD), ischemic (stress-rest) TPD, left ventricular ejection fraction and transient ischemic dilation ratio. Two-year event rates were classified as low (< 5%), moderate (5.0-9.9%), high (10-19.9%) and very high (20% or greater).
RESULTS: The study population comprised 3896 individuals for the development and 1946 for the validation subgroups with subsequent MACE in 589 (15.1%) and 272 (14.0%), respectively. CRAX2MACE, derived from the development subgroups, accurately stratified MACE risk in the validation subgroup (area under the receiver operating characteristics curve 0.79) with stepwise increase in the observed event rate with increasing predicted risk category (low, 2.3%; moderate, 5.5%; high, 18.8%; very high 33.2%; P-trend < 0.001).
CONCLUSIONS: A simple tool based upon clinical risk factors and MPI variables predicts 2-year cardiac events. Risk stratification between the low and very high groups was greater than tenfold.
© 2021. American Society of Nuclear Cardiology.

Entities:  

Keywords:  Myocardial perfusion imaging; clinical prediction rule; coronary artery disease; gated SPECT

Mesh:

Year:  2021        PMID: 33913097      PMCID: PMC8551291          DOI: 10.1007/s12350-021-02617-7

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


  31 in total

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3.  Incremental prognostic value of myocardial perfusion single photon emission computed tomography in patients with diabetes mellitus.

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4.  A new algorithm for the quantitation of myocardial perfusion SPECT. II: validation and diagnostic yield.

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5.  Incremental prognostic power of single-photon emission computed tomographic myocardial perfusion imaging in patients with known or suspected coronary artery disease.

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Journal:  Am J Cardiol       Date:  2005-01-15       Impact factor: 2.778

6.  Comparative prognostic value of automatic quantitative analysis versus semiquantitative visual analysis of exercise myocardial perfusion single-photon emission computed tomography.

Authors:  D S Berman; X Kang; K F Van Train; H C Lewin; I Cohen; J Areeda; J D Friedman; G Germano; L J Shaw; R Hachamovitch
Journal:  J Am Coll Cardiol       Date:  1998-12       Impact factor: 24.094

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

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9.  Mortality from coronary heart disease in subjects with type 2 diabetes and in nondiabetic subjects with and without prior myocardial infarction.

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Review 10.  Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities.

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  2 in total

1.  External validation of the CRAX2MACE model.

Authors:  Waseem Hijazi; Willam Leslie; Neil Filipchuk; Ryan Choo; Stephen Wilton; Matthew James; Piotr J Slomka; Robert J H Miller
Journal:  J Nucl Cardiol       Date:  2022-04-13       Impact factor: 3.872

2.  Adding value to myocardial perfusion scintigraphy: A prediction tool to predict adverse cardiac outcomes and risk stratify.

Authors:  Ricardo A Nieves; Syed Bukhari; Matthew E Harinstein
Journal:  J Nucl Cardiol       Date:  2021-06-24       Impact factor: 5.952

  2 in total

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