Literature DB >> 20394896

Pericardial fat burden on ECG-gated noncontrast CT in asymptomatic patients who subsequently experience adverse cardiovascular events.

Victor Y Cheng1, Damini Dey, Balaji Tamarappoo, Ryo Nakazato, Heidi Gransar, Romalisa Miranda-Peats, Amit Ramesh, Nathan D Wong, Leslee J Shaw, Piotr J Slomka, Daniel S Berman.   

Abstract

OBJECTIVES: We aimed to evaluate whether pericardial fat has value in predicting the risk of future adverse cardiovascular outcomes.
BACKGROUND: Pericardial fat volume (PFV) and thoracic fat volume (TFV) can be routinely measured from noncontrast computed tomography (NCT) performed for calculating coronary calcium score (CCS) and may predict major adverse cardiac event (MACE) risk.
METHODS: From a registry of 2,751 asymptomatic patients without known cardiac artery disease and 4-year follow-up for MACE (cardiac death, myocardial infarction, stroke, late revascularization) after NCT, we compared 58 patients with MACE with 174 same-sex, event-free control subjects matched by a propensity score to account for age, risk factors, and CCS. The TFV was automatically calculated, and PFV was calculated with manual assistance in defining the pericardial contour, within which fat voxels were automatically identified. Independent relationships of PFV and TFV to MACE were evaluated using conditional multivariable logistic regression.
RESULTS: Patients experiencing MACE had higher mean PFV (101.8 +/- 49.2 cm(3) vs. 84.9 +/- 37.7 cm(3), p = 0.007) and TFV (204.7 +/- 90.3 cm(3) vs. 177 +/- 80.3 cm(3), p = 0.029) and higher frequencies of PFV >125 cm(3) (33% vs. 14%, p = 0.002) and TFV >250 cm(3) (31% vs. 17%, p = 0.025). After adjustment for Framingham risk score (FRS), CCS, and body mass index, PFV and TFV were significantly associated with MACE (odds ratio [OR]: 1.74, 95% confidence interval [CI]: 1.03 to 2.95 for each doubling of PFV; OR: 1.78, 95% CI: 1.01 to 3.14 for TFV). The area under the curve from receiver-operator characteristic analyses showed a trend of improved MACE prediction when PFV was added to FRS and CCS (0.73 vs. 0.68, p = 0.058). Addition of PFV, but not TFV, to FRS and CCS improved estimated specificity (0.72 vs. 0.66, p = 0.008) and overall accuracy (0.70 vs. 0.65, p = 0.009) in predicting MACE.
CONCLUSIONS: Asymptomatic patients who experience MACE exhibit greater PFV on pre-MACE NCT when they are compared with event-free control subjects with similar cardiovascular risk profiles. Our preliminary findings suggest that PFV may help improve prediction of MACE. Copyright 2010 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20394896      PMCID: PMC2946639          DOI: 10.1016/j.jcmg.2009.12.013

Source DB:  PubMed          Journal:  JACC Cardiovasc Imaging        ISSN: 1876-7591


  27 in total

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2.  Analysis of observational studies in the presence of treatment selection bias: effects of invasive cardiac management on AMI survival using propensity score and instrumental variable methods.

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Review 3.  Propensity scores in cardiovascular research.

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7.  Apolipoprotein A-II is inversely associated with risk of future coronary artery disease.

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8.  Lipid-lowering therapy and in-hospital mortality following major noncardiac surgery.

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Journal:  JAMA       Date:  2004-05-05       Impact factor: 56.272

9.  Determination of total adipose tissue and body fat in women by computed tomography, 40K, and tritium.

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10.  Total and visceral adipose-tissue volumes derived from measurements with computed tomography in adult men and women: predictive equations.

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Journal:  Am J Clin Nutr       Date:  1988-12       Impact factor: 7.045

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  78 in total

1.  Interscan reproducibility of computer-aided epicardial and thoracic fat measurement from noncontrast cardiac CT.

Authors:  Ryo Nakazato; Haim Shmilovich; Balaji K Tamarappoo; Victor Y Cheng; Piotr J Slomka; Daniel S Berman; Damini Dey
Journal:  J Cardiovasc Comput Tomogr       Date:  2011-03-21

2.  Increased pericardial fat volume measured from noncontrast CT predicts myocardial ischemia by SPECT.

Authors:  Balaji Tamarappoo; Damini Dey; Haim Shmilovich; Ryo Nakazato; Heidi Gransar; Victor Y Cheng; John D Friedman; Sean W Hayes; Louise E J Thomson; Piotr J Slomka; Alan Rozanski; Daniel S Berman
Journal:  JACC Cardiovasc Imaging       Date:  2010-11

3.  Epicardial adipose tissue is increased in patients with systemic lupus erythematosus.

Authors:  Aliza Lipson; Nikolaos Alexopoulos; Gregory Randell Hartlage; Chesnal Arepalli; Annette Oeser; Aihua Bian; Tebeb Gebretsadik; Ayumi Shintani; Arthur E Stillman; C Michael Stein; Paolo Raggi
Journal:  Atherosclerosis       Date:  2012-06-17       Impact factor: 5.162

4.  Threshold for the upper normal limit of indexed epicardial fat volume: derivation in a healthy population and validation in an outcome-based study.

Authors:  Haim Shmilovich; Damini Dey; Victor Y Cheng; Ronak Rajani; Ryo Nakazato; Yuka Otaki; Rine Nakanishi; Piotr J Slomka; Louise E J Thomson; Sean W Hayes; John D Friedman; Heidi Gransar; Nathan D Wong; Leslee J Shaw; Matthew Budoff; Alan Rozanski; Daniel S Berman
Journal:  Am J Cardiol       Date:  2011-08-30       Impact factor: 2.778

Review 5.  [Identification and quantification of fat compartments with CT and MRI and their importance].

Authors:  C L Schlett; U Hoffmann
Journal:  Radiologe       Date:  2011-05       Impact factor: 0.635

Review 6.  Cardiac adipose tissue and its relationship to diabetes mellitus and cardiovascular disease.

Authors:  Adam M Noyes; Kirandeep Dua; Ramprakash Devadoss; Lovely Chhabra
Journal:  World J Diabetes       Date:  2014-12-15

Review 7.  Epicardial and thoracic fat - Noninvasive measurement and clinical implications.

Authors:  Damini Dey; Ryo Nakazato; Debiao Li; Daniel S Berman
Journal:  Cardiovasc Diagn Ther       Date:  2012-06

Review 8.  Adipose tissue biology and cardiomyopathy: translational implications.

Authors:  Aslan T Turer; Joseph A Hill; Joel K Elmquist; Philipp E Scherer
Journal:  Circ Res       Date:  2012-12-07       Impact factor: 17.367

9.  PET/CT evaluation of 18F-FDG uptake in pericoronary adipose tissue in patients with stable coronary artery disease: Independent predictor of atherosclerotic lesions' formation?

Authors:  Tomasz Mazurek; Małgorzata Kobylecka; Magdalena Zielenkiewicz; Aleksandra Kurek; Janusz Kochman; Krzysztof J Filipiak; Krzysztof Mazurek; Zenon Huczek; Leszek Królicki; Grzegorz Opolski
Journal:  J Nucl Cardiol       Date:  2016-03-07       Impact factor: 5.952

10.  Thoracic fat volume is independently associated with coronary vasomotion.

Authors:  Vincent Dunet; François Feihl; Amin Dabiri; Gilles Allenbach; Bernard Waeber; Raphaël Heinzer; John O Prior
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-08-19       Impact factor: 9.236

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