Cargando…

Electrophysiology study for risk stratification in patients with cardiac sarcoidosis and abnormal cardiac imaging

BACKGROUND: Abnormalities on cardiac imaging (cardiac magnetic resonance imaging [CMR] or positron emission tomography [PET]), left ventricular ejection fraction (LVEF), and electrophysiology study (EPS) all predict ventricular arrhythmias (VA) in patients with cardiac sarcoidosis (CS). We sought to...

Descripción completa

Detalles Bibliográficos
Autores principales: Okada, David R., Smith, John, Derakhshan, Arsalan, Gowani, Zain, Zimmerman, Stefan L., Misra, Satish, Berger, Ronald D., Calkins, Hugh, Tandri, Harikrishna, Chrispin, Jonathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6612749/
https://www.ncbi.nlm.nih.gov/pubmed/31321283
http://dx.doi.org/10.1016/j.ijcha.2019.03.002
_version_ 1783432929879261184
author Okada, David R.
Smith, John
Derakhshan, Arsalan
Gowani, Zain
Zimmerman, Stefan L.
Misra, Satish
Berger, Ronald D.
Calkins, Hugh
Tandri, Harikrishna
Chrispin, Jonathan
author_facet Okada, David R.
Smith, John
Derakhshan, Arsalan
Gowani, Zain
Zimmerman, Stefan L.
Misra, Satish
Berger, Ronald D.
Calkins, Hugh
Tandri, Harikrishna
Chrispin, Jonathan
author_sort Okada, David R.
collection PubMed
description BACKGROUND: Abnormalities on cardiac imaging (cardiac magnetic resonance imaging [CMR] or positron emission tomography [PET]), left ventricular ejection fraction (LVEF), and electrophysiology study (EPS) all predict ventricular arrhythmias (VA) in patients with cardiac sarcoidosis (CS). We sought to assess the utility of EPS in patients with CS and abnormal cardiac imaging, focusing on those with LVEF >35%. METHODS: We identified all patients treated at our institution from 2000 to 2017 who: 1.) had probable or definite CS; 2.) had either late gadolinium enhancement (LGE) on CMR or abnormal 18-flourodeoxyglucose (FDG) uptake on PET, and 3.) had undergone EPS. The primary endpoint was VA during follow up. RESULTS: Twenty five patients were included, of whom 10 (40%) had positive EPS. During a mean follow-up of 4.8 +/− 3.4 years, 11 (44%) patients had VA. The positive predictive value (PPV) of EPS for VA was 100% and the negative predictive value (NPV) of EPS for VA was 93%. Among 12 patients with LVEF >35% and no prior VA, the PPV of EPS for VA was 100% and the NPV of EPS for VA was 90%. CONCLUSION: EPS may help with risk stratification in patients with CS and abnormal imaging, especially those without conventional indications for ICD placement. Among patients with LVEF >35% and no history of prior VA, a negative EPS has good positive and negative predictive value for future VA events.
format Online
Article
Text
id pubmed-6612749
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-66127492019-07-18 Electrophysiology study for risk stratification in patients with cardiac sarcoidosis and abnormal cardiac imaging Okada, David R. Smith, John Derakhshan, Arsalan Gowani, Zain Zimmerman, Stefan L. Misra, Satish Berger, Ronald D. Calkins, Hugh Tandri, Harikrishna Chrispin, Jonathan Int J Cardiol Heart Vasc Original Paper BACKGROUND: Abnormalities on cardiac imaging (cardiac magnetic resonance imaging [CMR] or positron emission tomography [PET]), left ventricular ejection fraction (LVEF), and electrophysiology study (EPS) all predict ventricular arrhythmias (VA) in patients with cardiac sarcoidosis (CS). We sought to assess the utility of EPS in patients with CS and abnormal cardiac imaging, focusing on those with LVEF >35%. METHODS: We identified all patients treated at our institution from 2000 to 2017 who: 1.) had probable or definite CS; 2.) had either late gadolinium enhancement (LGE) on CMR or abnormal 18-flourodeoxyglucose (FDG) uptake on PET, and 3.) had undergone EPS. The primary endpoint was VA during follow up. RESULTS: Twenty five patients were included, of whom 10 (40%) had positive EPS. During a mean follow-up of 4.8 +/− 3.4 years, 11 (44%) patients had VA. The positive predictive value (PPV) of EPS for VA was 100% and the negative predictive value (NPV) of EPS for VA was 93%. Among 12 patients with LVEF >35% and no prior VA, the PPV of EPS for VA was 100% and the NPV of EPS for VA was 90%. CONCLUSION: EPS may help with risk stratification in patients with CS and abnormal imaging, especially those without conventional indications for ICD placement. Among patients with LVEF >35% and no history of prior VA, a negative EPS has good positive and negative predictive value for future VA events. Elsevier 2019-03-16 /pmc/articles/PMC6612749/ /pubmed/31321283 http://dx.doi.org/10.1016/j.ijcha.2019.03.002 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Paper
Okada, David R.
Smith, John
Derakhshan, Arsalan
Gowani, Zain
Zimmerman, Stefan L.
Misra, Satish
Berger, Ronald D.
Calkins, Hugh
Tandri, Harikrishna
Chrispin, Jonathan
Electrophysiology study for risk stratification in patients with cardiac sarcoidosis and abnormal cardiac imaging
title Electrophysiology study for risk stratification in patients with cardiac sarcoidosis and abnormal cardiac imaging
title_full Electrophysiology study for risk stratification in patients with cardiac sarcoidosis and abnormal cardiac imaging
title_fullStr Electrophysiology study for risk stratification in patients with cardiac sarcoidosis and abnormal cardiac imaging
title_full_unstemmed Electrophysiology study for risk stratification in patients with cardiac sarcoidosis and abnormal cardiac imaging
title_short Electrophysiology study for risk stratification in patients with cardiac sarcoidosis and abnormal cardiac imaging
title_sort electrophysiology study for risk stratification in patients with cardiac sarcoidosis and abnormal cardiac imaging
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6612749/
https://www.ncbi.nlm.nih.gov/pubmed/31321283
http://dx.doi.org/10.1016/j.ijcha.2019.03.002
work_keys_str_mv AT okadadavidr electrophysiologystudyforriskstratificationinpatientswithcardiacsarcoidosisandabnormalcardiacimaging
AT smithjohn electrophysiologystudyforriskstratificationinpatientswithcardiacsarcoidosisandabnormalcardiacimaging
AT derakhshanarsalan electrophysiologystudyforriskstratificationinpatientswithcardiacsarcoidosisandabnormalcardiacimaging
AT gowanizain electrophysiologystudyforriskstratificationinpatientswithcardiacsarcoidosisandabnormalcardiacimaging
AT zimmermanstefanl electrophysiologystudyforriskstratificationinpatientswithcardiacsarcoidosisandabnormalcardiacimaging
AT misrasatish electrophysiologystudyforriskstratificationinpatientswithcardiacsarcoidosisandabnormalcardiacimaging
AT bergerronaldd electrophysiologystudyforriskstratificationinpatientswithcardiacsarcoidosisandabnormalcardiacimaging
AT calkinshugh electrophysiologystudyforriskstratificationinpatientswithcardiacsarcoidosisandabnormalcardiacimaging
AT tandriharikrishna electrophysiologystudyforriskstratificationinpatientswithcardiacsarcoidosisandabnormalcardiacimaging
AT chrispinjonathan electrophysiologystudyforriskstratificationinpatientswithcardiacsarcoidosisandabnormalcardiacimaging