Structural and Physiological Imaging to Predict the Risk of Lethal Ventricular Arrhythmias and Sudden Death
Identifying patients at risk of sudden cardiac death remains a major challenge in cardiovascular medicine. Advances in cardiovascular imaging have identified several anatomic and functional variables that can be quantified as continuous variables to predict the risk of developing lethal ventricular...
Ausführliche Beschreibung
Autor*in: |
Malhotra, Saurabh [verfasserIn] |
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E-Artikel |
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Englisch |
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2019transfer abstract |
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Umfang: |
16 |
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Übergeordnetes Werk: |
Enthalten in: Market co-movement between credit default swap curves and option volatility surfaces - Shi, Yukun ELSEVIER, 2022, a journal of the American College of Cardiology, Amsterdam |
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Übergeordnetes Werk: |
volume:12 ; year:2019 ; number:10 ; pages:2049-2064 ; extent:16 |
Links: |
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DOI / URN: |
10.1016/j.jcmg.2019.05.034 |
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ELV048117005 |
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520 | |a Identifying patients at risk of sudden cardiac death remains a major challenge in cardiovascular medicine. Advances in cardiovascular imaging have identified several anatomic and functional variables that can be quantified as continuous variables to predict the risk of developing lethal ventricular tachyarrhythmias in patients with depressed left ventricular (LV) systolic function. Some, such as LV mass, volume, and the dyssynchrony of contraction, can be derived from currently available echocardiographic and nuclear imaging modalities. Others require advanced cardiac imaging modalities with quantification of myocardial scar with gadolinium-enhanced cardiac magnetic resonance and myocardial sympathetic denervation using norepinephrine analogs and positron emission tomography or single-photon emission computed tomography offering the most promise. There is an immediate need to develop a sequential cost-effective approach that capitalizes on readily available clinical information complemented with advanced imaging modalities in selected patients to improve risk stratification for arrhythmic death beyond LV ejection fraction. | ||
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10.1016/j.jcmg.2019.05.034 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000911.pica (DE-627)ELV048117005 (ELSEVIER)S1936-878X(19)30717-X DE-627 ger DE-627 rakwb eng 330 VZ 83.52 bkl Malhotra, Saurabh verfasserin aut Structural and Physiological Imaging to Predict the Risk of Lethal Ventricular Arrhythmias and Sudden Death 2019transfer abstract 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Identifying patients at risk of sudden cardiac death remains a major challenge in cardiovascular medicine. Advances in cardiovascular imaging have identified several anatomic and functional variables that can be quantified as continuous variables to predict the risk of developing lethal ventricular tachyarrhythmias in patients with depressed left ventricular (LV) systolic function. Some, such as LV mass, volume, and the dyssynchrony of contraction, can be derived from currently available echocardiographic and nuclear imaging modalities. Others require advanced cardiac imaging modalities with quantification of myocardial scar with gadolinium-enhanced cardiac magnetic resonance and myocardial sympathetic denervation using norepinephrine analogs and positron emission tomography or single-photon emission computed tomography offering the most promise. There is an immediate need to develop a sequential cost-effective approach that capitalizes on readily available clinical information complemented with advanced imaging modalities in selected patients to improve risk stratification for arrhythmic death beyond LV ejection fraction. Identifying patients at risk of sudden cardiac death remains a major challenge in cardiovascular medicine. Advances in cardiovascular imaging have identified several anatomic and functional variables that can be quantified as continuous variables to predict the risk of developing lethal ventricular tachyarrhythmias in patients with depressed left ventricular (LV) systolic function. Some, such as LV mass, volume, and the dyssynchrony of contraction, can be derived from currently available echocardiographic and nuclear imaging modalities. Others require advanced cardiac imaging modalities with quantification of myocardial scar with gadolinium-enhanced cardiac magnetic resonance and myocardial sympathetic denervation using norepinephrine analogs and positron emission tomography or single-photon emission computed tomography offering the most promise. There is an immediate need to develop a sequential cost-effective approach that capitalizes on readily available clinical information complemented with advanced imaging modalities in selected patients to improve risk stratification for arrhythmic death beyond LV ejection fraction. dyssynchrony Elsevier cardiac imaging Elsevier sudden cardiac death Elsevier sympathetic innervation Elsevier implantable cardioverter-defibrillator Elsevier myocardial fibrosis Elsevier Canty, John M. oth Enthalten in Elsevier Shi, Yukun ELSEVIER Market co-movement between credit default swap curves and option volatility surfaces 2022 a journal of the American College of Cardiology Amsterdam (DE-627)ELV008059039 volume:12 year:2019 number:10 pages:2049-2064 extent:16 https://doi.org/10.1016/j.jcmg.2019.05.034 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 83.52 Finanzwissenschaft VZ AR 12 2019 10 2049-2064 16 |
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10.1016/j.jcmg.2019.05.034 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000911.pica (DE-627)ELV048117005 (ELSEVIER)S1936-878X(19)30717-X DE-627 ger DE-627 rakwb eng 330 VZ 83.52 bkl Malhotra, Saurabh verfasserin aut Structural and Physiological Imaging to Predict the Risk of Lethal Ventricular Arrhythmias and Sudden Death 2019transfer abstract 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Identifying patients at risk of sudden cardiac death remains a major challenge in cardiovascular medicine. Advances in cardiovascular imaging have identified several anatomic and functional variables that can be quantified as continuous variables to predict the risk of developing lethal ventricular tachyarrhythmias in patients with depressed left ventricular (LV) systolic function. Some, such as LV mass, volume, and the dyssynchrony of contraction, can be derived from currently available echocardiographic and nuclear imaging modalities. Others require advanced cardiac imaging modalities with quantification of myocardial scar with gadolinium-enhanced cardiac magnetic resonance and myocardial sympathetic denervation using norepinephrine analogs and positron emission tomography or single-photon emission computed tomography offering the most promise. There is an immediate need to develop a sequential cost-effective approach that capitalizes on readily available clinical information complemented with advanced imaging modalities in selected patients to improve risk stratification for arrhythmic death beyond LV ejection fraction. Identifying patients at risk of sudden cardiac death remains a major challenge in cardiovascular medicine. Advances in cardiovascular imaging have identified several anatomic and functional variables that can be quantified as continuous variables to predict the risk of developing lethal ventricular tachyarrhythmias in patients with depressed left ventricular (LV) systolic function. Some, such as LV mass, volume, and the dyssynchrony of contraction, can be derived from currently available echocardiographic and nuclear imaging modalities. Others require advanced cardiac imaging modalities with quantification of myocardial scar with gadolinium-enhanced cardiac magnetic resonance and myocardial sympathetic denervation using norepinephrine analogs and positron emission tomography or single-photon emission computed tomography offering the most promise. There is an immediate need to develop a sequential cost-effective approach that capitalizes on readily available clinical information complemented with advanced imaging modalities in selected patients to improve risk stratification for arrhythmic death beyond LV ejection fraction. dyssynchrony Elsevier cardiac imaging Elsevier sudden cardiac death Elsevier sympathetic innervation Elsevier implantable cardioverter-defibrillator Elsevier myocardial fibrosis Elsevier Canty, John M. oth Enthalten in Elsevier Shi, Yukun ELSEVIER Market co-movement between credit default swap curves and option volatility surfaces 2022 a journal of the American College of Cardiology Amsterdam (DE-627)ELV008059039 volume:12 year:2019 number:10 pages:2049-2064 extent:16 https://doi.org/10.1016/j.jcmg.2019.05.034 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 83.52 Finanzwissenschaft VZ AR 12 2019 10 2049-2064 16 |
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10.1016/j.jcmg.2019.05.034 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000911.pica (DE-627)ELV048117005 (ELSEVIER)S1936-878X(19)30717-X DE-627 ger DE-627 rakwb eng 330 VZ 83.52 bkl Malhotra, Saurabh verfasserin aut Structural and Physiological Imaging to Predict the Risk of Lethal Ventricular Arrhythmias and Sudden Death 2019transfer abstract 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Identifying patients at risk of sudden cardiac death remains a major challenge in cardiovascular medicine. Advances in cardiovascular imaging have identified several anatomic and functional variables that can be quantified as continuous variables to predict the risk of developing lethal ventricular tachyarrhythmias in patients with depressed left ventricular (LV) systolic function. Some, such as LV mass, volume, and the dyssynchrony of contraction, can be derived from currently available echocardiographic and nuclear imaging modalities. Others require advanced cardiac imaging modalities with quantification of myocardial scar with gadolinium-enhanced cardiac magnetic resonance and myocardial sympathetic denervation using norepinephrine analogs and positron emission tomography or single-photon emission computed tomography offering the most promise. There is an immediate need to develop a sequential cost-effective approach that capitalizes on readily available clinical information complemented with advanced imaging modalities in selected patients to improve risk stratification for arrhythmic death beyond LV ejection fraction. Identifying patients at risk of sudden cardiac death remains a major challenge in cardiovascular medicine. Advances in cardiovascular imaging have identified several anatomic and functional variables that can be quantified as continuous variables to predict the risk of developing lethal ventricular tachyarrhythmias in patients with depressed left ventricular (LV) systolic function. Some, such as LV mass, volume, and the dyssynchrony of contraction, can be derived from currently available echocardiographic and nuclear imaging modalities. Others require advanced cardiac imaging modalities with quantification of myocardial scar with gadolinium-enhanced cardiac magnetic resonance and myocardial sympathetic denervation using norepinephrine analogs and positron emission tomography or single-photon emission computed tomography offering the most promise. There is an immediate need to develop a sequential cost-effective approach that capitalizes on readily available clinical information complemented with advanced imaging modalities in selected patients to improve risk stratification for arrhythmic death beyond LV ejection fraction. dyssynchrony Elsevier cardiac imaging Elsevier sudden cardiac death Elsevier sympathetic innervation Elsevier implantable cardioverter-defibrillator Elsevier myocardial fibrosis Elsevier Canty, John M. oth Enthalten in Elsevier Shi, Yukun ELSEVIER Market co-movement between credit default swap curves and option volatility surfaces 2022 a journal of the American College of Cardiology Amsterdam (DE-627)ELV008059039 volume:12 year:2019 number:10 pages:2049-2064 extent:16 https://doi.org/10.1016/j.jcmg.2019.05.034 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 83.52 Finanzwissenschaft VZ AR 12 2019 10 2049-2064 16 |
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10.1016/j.jcmg.2019.05.034 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000911.pica (DE-627)ELV048117005 (ELSEVIER)S1936-878X(19)30717-X DE-627 ger DE-627 rakwb eng 330 VZ 83.52 bkl Malhotra, Saurabh verfasserin aut Structural and Physiological Imaging to Predict the Risk of Lethal Ventricular Arrhythmias and Sudden Death 2019transfer abstract 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Identifying patients at risk of sudden cardiac death remains a major challenge in cardiovascular medicine. Advances in cardiovascular imaging have identified several anatomic and functional variables that can be quantified as continuous variables to predict the risk of developing lethal ventricular tachyarrhythmias in patients with depressed left ventricular (LV) systolic function. Some, such as LV mass, volume, and the dyssynchrony of contraction, can be derived from currently available echocardiographic and nuclear imaging modalities. Others require advanced cardiac imaging modalities with quantification of myocardial scar with gadolinium-enhanced cardiac magnetic resonance and myocardial sympathetic denervation using norepinephrine analogs and positron emission tomography or single-photon emission computed tomography offering the most promise. There is an immediate need to develop a sequential cost-effective approach that capitalizes on readily available clinical information complemented with advanced imaging modalities in selected patients to improve risk stratification for arrhythmic death beyond LV ejection fraction. Identifying patients at risk of sudden cardiac death remains a major challenge in cardiovascular medicine. Advances in cardiovascular imaging have identified several anatomic and functional variables that can be quantified as continuous variables to predict the risk of developing lethal ventricular tachyarrhythmias in patients with depressed left ventricular (LV) systolic function. Some, such as LV mass, volume, and the dyssynchrony of contraction, can be derived from currently available echocardiographic and nuclear imaging modalities. Others require advanced cardiac imaging modalities with quantification of myocardial scar with gadolinium-enhanced cardiac magnetic resonance and myocardial sympathetic denervation using norepinephrine analogs and positron emission tomography or single-photon emission computed tomography offering the most promise. There is an immediate need to develop a sequential cost-effective approach that capitalizes on readily available clinical information complemented with advanced imaging modalities in selected patients to improve risk stratification for arrhythmic death beyond LV ejection fraction. dyssynchrony Elsevier cardiac imaging Elsevier sudden cardiac death Elsevier sympathetic innervation Elsevier implantable cardioverter-defibrillator Elsevier myocardial fibrosis Elsevier Canty, John M. oth Enthalten in Elsevier Shi, Yukun ELSEVIER Market co-movement between credit default swap curves and option volatility surfaces 2022 a journal of the American College of Cardiology Amsterdam (DE-627)ELV008059039 volume:12 year:2019 number:10 pages:2049-2064 extent:16 https://doi.org/10.1016/j.jcmg.2019.05.034 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 83.52 Finanzwissenschaft VZ AR 12 2019 10 2049-2064 16 |
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Market co-movement between credit default swap curves and option volatility surfaces |
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Structural and Physiological Imaging to Predict the Risk of Lethal Ventricular Arrhythmias and Sudden Death |
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Structural and Physiological Imaging to Predict the Risk of Lethal Ventricular Arrhythmias and Sudden Death |
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structural and physiological imaging to predict the risk of lethal ventricular arrhythmias and sudden death |
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Structural and Physiological Imaging to Predict the Risk of Lethal Ventricular Arrhythmias and Sudden Death |
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Identifying patients at risk of sudden cardiac death remains a major challenge in cardiovascular medicine. Advances in cardiovascular imaging have identified several anatomic and functional variables that can be quantified as continuous variables to predict the risk of developing lethal ventricular tachyarrhythmias in patients with depressed left ventricular (LV) systolic function. Some, such as LV mass, volume, and the dyssynchrony of contraction, can be derived from currently available echocardiographic and nuclear imaging modalities. Others require advanced cardiac imaging modalities with quantification of myocardial scar with gadolinium-enhanced cardiac magnetic resonance and myocardial sympathetic denervation using norepinephrine analogs and positron emission tomography or single-photon emission computed tomography offering the most promise. There is an immediate need to develop a sequential cost-effective approach that capitalizes on readily available clinical information complemented with advanced imaging modalities in selected patients to improve risk stratification for arrhythmic death beyond LV ejection fraction. |
abstractGer |
Identifying patients at risk of sudden cardiac death remains a major challenge in cardiovascular medicine. Advances in cardiovascular imaging have identified several anatomic and functional variables that can be quantified as continuous variables to predict the risk of developing lethal ventricular tachyarrhythmias in patients with depressed left ventricular (LV) systolic function. Some, such as LV mass, volume, and the dyssynchrony of contraction, can be derived from currently available echocardiographic and nuclear imaging modalities. Others require advanced cardiac imaging modalities with quantification of myocardial scar with gadolinium-enhanced cardiac magnetic resonance and myocardial sympathetic denervation using norepinephrine analogs and positron emission tomography or single-photon emission computed tomography offering the most promise. There is an immediate need to develop a sequential cost-effective approach that capitalizes on readily available clinical information complemented with advanced imaging modalities in selected patients to improve risk stratification for arrhythmic death beyond LV ejection fraction. |
abstract_unstemmed |
Identifying patients at risk of sudden cardiac death remains a major challenge in cardiovascular medicine. Advances in cardiovascular imaging have identified several anatomic and functional variables that can be quantified as continuous variables to predict the risk of developing lethal ventricular tachyarrhythmias in patients with depressed left ventricular (LV) systolic function. Some, such as LV mass, volume, and the dyssynchrony of contraction, can be derived from currently available echocardiographic and nuclear imaging modalities. Others require advanced cardiac imaging modalities with quantification of myocardial scar with gadolinium-enhanced cardiac magnetic resonance and myocardial sympathetic denervation using norepinephrine analogs and positron emission tomography or single-photon emission computed tomography offering the most promise. There is an immediate need to develop a sequential cost-effective approach that capitalizes on readily available clinical information complemented with advanced imaging modalities in selected patients to improve risk stratification for arrhythmic death beyond LV ejection fraction. |
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Structural and Physiological Imaging to Predict the Risk of Lethal Ventricular Arrhythmias and Sudden Death |
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https://doi.org/10.1016/j.jcmg.2019.05.034 |
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