Literature DB >> 23602692

Predictors of cardiac sarcoidosis using commonly available cardiac studies.

Andrew M Freeman1, Douglas Curran-Everett, Howard D Weinberger, Brett E Fenster, J Kern Buckner, E Bridgette Gottschall, William H Sauer, Lisa A Maier, Nabeel Y Hamzeh.   

Abstract

Cardiac involvement affects ≤40% of patients with sarcoidosis and accounts for ≤25% of deaths. The diagnosis of cardiac sarcoidosis is challenging using the existing screening tests and often relies on expensive cardiac magnetic resonance imaging (cMRI) and cardiac 18-fluorodeoxuyglucose positron emission tomography (FDG-cPET). We developed a scoring system using common clinical tests to predict positive imaging findings using cMRI or FDG-cPET. A retrospective chart review of subjects undergoing cMRI or FDG-cPET was performed. The data were extracted and scored using a predetermined system. Our cohort was predominantly white, with a mean age of 55 years, and 60% were women. The scoring system was compared with the findings from cMRI and FDG-cPET to determine the ability to predict the imaging results that define cardiac sarcoidosis. The scoring system for the patients who had undergone both FDG-cPET and cMRI suggested predictability, but the differences were not statistically significant. However, the positive results from just 1 study were as predictive as having positive findings from both studies. A 1-point increase in the total score increased the probability of positive findings from cMRI or FDG-cPET by 14% (95% confidence interval 3% to 25% increase; p = 0.01). The scoring system seemed to be driven more by the findings from cMRI than by those from FDG-cPET. In patients who had undergone cMRI alone, for each 1-point increase in the total score, the probability of positive cMRI findings increased 11% (95% confidence interval 1% decrease to 25% increase, p = 0.08). All screening modalities were analyzed. No modality was sensitive or specific, although major findings (defined in our scoring system) were most predictive of positive imaging findings. In conclusion, commonly available cardiac screening tools used together in a composite score provide reasonable results to predict positive cardiac sarcoidosis findings on imaging, but the system needs refinement. Our data suggest that major findings from screening studies are more likely to correlate with cMRI findings than with findings from FDG-cPET.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23602692     DOI: 10.1016/j.amjcard.2013.03.027

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


  13 in total

1.  Advanced cardiovascular imaging for the evaluation of cardiac sarcoidosis.

Authors:  Paco E Bravo; Amitoj Singh; Marcelo F Di Carli; Ron Blankstein
Journal:  J Nucl Cardiol       Date:  2018-11-02       Impact factor: 5.952

2.  Improved detection of cardiac sarcoidosis using magnetic resonance with myocardial T2 mapping.

Authors:  Elliott D Crouser; Chikako Ono; Tam Tran; Xin He; Subha V Raman
Journal:  Am J Respir Crit Care Med       Date:  2014-01-01       Impact factor: 21.405

Review 3.  Advanced imaging of cardiac sarcoidosis.

Authors:  Chadi Ayoub; Elena Pena; Hiroshi Ohira; Alexander Dick; Eugene Leung; Pablo B Nery; David Birnie; Rob S B Beanlands
Journal:  Curr Cardiol Rep       Date:  2015       Impact factor: 2.931

Review 4.  Cardiovascular Magnetic Resonance Parametric Mapping Techniques: Clinical Applications and Limitations.

Authors:  Eleni Nakou; Rishi K Patel; Marianna Fontana; Chiara Bucciarelli-Ducci
Journal:  Curr Cardiol Rep       Date:  2021-11-11       Impact factor: 2.931

5.  Improved detection of myocardial damage in sarcoidosis using longitudinal strain in patients with preserved left ventricular ejection fraction.

Authors:  Gillian Murtagh; Luke J Laffin; Kershaw V Patel; Amit V Patel; Catherine A Bonham; Zoe Yu; Karima Addetia; Nadia El-Hangouche; Francesco Maffesanti; Victor Mor-Avi; D Kyle Hogarth; Nadera J Sweiss; John F Beshai; Roberto M Lang; Amit R Patel
Journal:  Echocardiography       Date:  2016-09       Impact factor: 1.724

Review 6.  Role of Cardiac Magnetic Resonance in the Diagnosis and Prognosis of Nonischemic Cardiomyopathy.

Authors:  Amit R Patel; Christopher M Kramer
Journal:  JACC Cardiovasc Imaging       Date:  2017-10

Review 7.  Sarcoidosis and the heart: A review of the literature.

Authors:  Emrah Ipek; Selami Demirelli; Emrah Ermis; Sinan Inci
Journal:  Intractable Rare Dis Res       Date:  2015-11

Review 8.  T2 mapping and T2* imaging in heart failure.

Authors:  A S Lota; P D Gatehouse; R H Mohiaddin
Journal:  Heart Fail Rev       Date:  2017-07       Impact factor: 4.214

Review 9.  Challenges in Cardiac and Pulmonary Sarcoidosis: JACC State-of-the-Art Review.

Authors:  Maria Giovanna Trivieri; Paolo Spagnolo; David Birnie; Peter Liu; Wonder Drake; Jason C Kovacic; Robert Baughman; Zahi A Fayad; Marc A Judson
Journal:  J Am Coll Cardiol       Date:  2020-10-20       Impact factor: 24.094

10.  Prognosis of Myocardial Damage in Sarcoidosis Patients With Preserved Left Ventricular Ejection Fraction: Risk Stratification Using Cardiovascular Magnetic Resonance.

Authors:  Gillian Murtagh; Luke J Laffin; John F Beshai; Francesco Maffessanti; Catherine A Bonham; Amit V Patel; Zoe Yu; Karima Addetia; Victor Mor-Avi; Joshua D Moss; D Kyle Hogarth; Nadera J Sweiss; Roberto M Lang; Amit R Patel
Journal:  Circ Cardiovasc Imaging       Date:  2016-01       Impact factor: 7.792

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