Non-invasive cardiovascular imaging for evaluating subclinical target organ damage in hypertensive patients

Pasquale Perrone-Filardi Antonio Coca Maurizio Galderisi Stefania Paolillo 1 Francisco Alpendurada 2 Giovanni De Simone Erwan Donal 3 Thomas Kahan Giuseppe Mancia Josep Redon Roland Schmieder Bryan Williams Enrico Agabiti-Rosei 4
1 SDN - Istituto di Ricerca Diagnostica e Nucleare
2 Imperial College London
3 LTSI - Laboratoire Traitement du Signal et de l'Image
4 Università degli Studi di Brescia [Brescia]
Abstract : Arterial hypertension (HTN) accounts for the largest amount of attributable cardiovascular (CV) mortality worldwide, and risk stratification in hypertensive patients is of crucial importance to manage treatment and prevent adverse events. Asymptomatic involvement of different organs in patients affected by HTN represents an independent determinant of CV risk and the identification of target organ damage (TOD) is recommended to further reclassify patients' risk. Non-invasive CV imaging is progressively being used and continues to provide new technological opportunities to TOD evaluation at early stage. The aim of this article is to provide the community of cardiology with an update on appropriate and justified use of non-invasive imaging tests in the growing population of hypertensive patients.
Keywords : prognosis arterial hypertension target organ damage non-invasive cardiovascular imaging cardiovascular risk
Type de document :
Article dans une revue
European Heart Journal - Cardiovascular Imaging, Oxford UP, 2017, 18 (9), pp.945-960. 〈10.1093/ehjci/jex094〉
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https://hal-univ-rennes1.archives-ouvertes.fr/hal-01613517
Contributeur : Laurent Jonchère <>
Soumis le : lundi 9 octobre 2017 - 16:47:32
Dernière modification le : lundi 17 septembre 2018 - 15:26:04

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Pasquale Perrone-Filardi, Antonio Coca, Maurizio Galderisi, Stefania Paolillo, Francisco Alpendurada, et al.. Non-invasive cardiovascular imaging for evaluating subclinical target organ damage in hypertensive patients. European Heart Journal - Cardiovascular Imaging, Oxford UP, 2017, 18 (9), pp.945-960. 〈10.1093/ehjci/jex094〉. 〈hal-01613517〉

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