Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Maria Emfietzoglou"'
Autor:
Mayooran Shanmuganathan, Rafail A. Kotronias, Matthew K. Burrage, Yujun Ng, Abhirup Banerjee, Cheng Xie, Alison Fletcher, Peter Manley, Alessandra Borlotti, Maria Emfietzoglou, Alexander J. Mentzer, Federico Marin, Betty Raman, Oxford Acute Myocardial Infarction (OxAMI) investigators, Elizabeth M. Tunnicliffe, Stefan Neubauer, Stefan K. Piechnik, Keith M. Channon, Vanessa M. Ferreira
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 10 (2023)
BackgroundPatients with a history of COVID-19 infection are reported to have cardiac abnormalities on cardiovascular magnetic resonance (CMR) during convalescence. However, it is unclear whether these abnormalities were present during the acute COVID
Externí odkaz:
https://doaj.org/article/24c528f5918c42a1aace455eb751d304
Autor:
Polydoros N. Kampaktsis, Maria Emfietzoglou, Aamna Al Shehhi, Nikolina-Alexia Fasoula, Constantinos Bakogiannis, Dimitrios Mouselimis, Anastasios Tsarouchas, Vassilios P. Vassilikos, Michael Kallmayer, Hans-Henning Eckstein, Leontios Hadjileontiadis, Angelos Karlas
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2023)
Atherosclerotic cardiovascular disease (ASCVD) is the most common cause of death globally. Increasing amounts of highly diverse ASCVD data are becoming available and artificial intelligence (AI) techniques now bear the promise of utilizing them to im
Externí odkaz:
https://doaj.org/article/10a69426494842cab12d20f70b708505
Autor:
Rafail A. Kotronias, Kirsty Fielding, Charlotte Greenhalgh, Regent Lee, Mohammad Alkhalil, Federico Marin, Maria Emfietzoglou, Adrian P. Banning, Claire Vallance, Keith M. Channon, Giovanni Luigi De Maria
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2022)
AimsWe set out to further develop reflectance spectroscopy for the characterisation and quantification of coronary thrombi. Additionally, we explore the potential of our approach for use as a risk stratification tool by exploring the relation of refl
Externí odkaz:
https://doaj.org/article/aa3bf4ede6a9474da27dd512cb1d5cbd
Autor:
Polydoros N. Kampaktsis, Ilias P. Doulamis, Rabea Asleh, Elpiniki Makri, Ilias Kalamaras, Christoforos Papastergiopoulos, Maria Emfietzoglou, Anastasis Drosou, Jef Van den Eynde, Hilmi Alnsasra, Ernesto Ruiz Duque, Alexandros Briasoulis
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 11, Iss 17 (2022)
Background The clinical characteristics of mTOR (mammalian target of rapamycin) inhibitors use in heart transplant recipients and their outcomes have not been well described. Methods and Results We compared patients who received mTOR inhibitors withi
Externí odkaz:
https://doaj.org/article/b5ead02d726c4252b84076283c6003a1
Autor:
Maria Emfietzoglou, Michail C. Mavrogiannis, Athanasios Samaras, Georgios P. Rampidis, George Giannakoulas, Polydoros N. Kampaktsis
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2022)
Cardiac computed tomography (CCT) is now considered a first-line diagnostic test for suspected coronary artery disease (CAD) providing a non-invasive, qualitative, and quantitative assessment of the coronary arteries and pericoronary regions. CCT ass
Externí odkaz:
https://doaj.org/article/99ca8e82449841d5942122ca9c20aefe
Autor:
Maria Emfietzoglou, Michail C. Mavrogiannis, Hector M. García-García, Kimon Stamatelopoulos, Ioannis Kanakakis, Michail I. Papafaklis
Publikováno v:
Life, Vol 13, Iss 3, p 696 (2023)
Despite major advances in pharmacotherapy and interventional procedures, coronary artery disease (CAD) remains a principal cause of morbidity and mortality worldwide. Invasive coronary imaging along with the computation of hemodynamic forces, primari
Externí odkaz:
https://doaj.org/article/5aab008fec7444ba94e550d19082232c
Autor:
Giovanni Luigi De Maria, Luca Testa, Jose M de la Torre Hernandez, Dimitrios Terentes-Printzios, Maria Emfietzoglou, Roberto Scarsini, Francesco Bedogni, Ernest Spitzer, Adrian Banning
Publikováno v:
PLoS ONE, Vol 17, Iss 1, p e0260770 (2022)
BackgroundPercutaneous coronary intervention (PCI) is used increasingly for revascularization of unprotected left main coronary artery (LMCA) disease. Observational studies and subgroup analyses from clinical trials, have suggested a possible benefit
Externí odkaz:
https://doaj.org/article/1f88d1742cf447398f1acc0b37473985
Autor:
Maria Emfietzoglou, Dimitrios Terentes-Printzios, Rafail A. Kotronias, Federico Marin, Claudio Montalto, Giovanni Luigi De Maria, Adrian P. Banning
Publikováno v:
Nature Cardiovascular Research. 1:298-311
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7c62cdad738fef3ff17ec8ff05c8625
https://doi.org/10.1038/s44161-022-00045-5
https://doi.org/10.1038/s44161-022-00045-5
Autor:
Polydoros N. Kampaktsis, Athanasios Siouras, Ilias P. Doulamis, Serafeim Moustakidis, Maria Emfietzoglou, Jef Van den Eynde, Dimitrios V. Avgerinos, George Giannakoulas, Paulino Alvarez, Alexandros Briasoulis
Publikováno v:
Clinical transplantationREFERENCES.
Machine learning (ML) is increasingly being applied in Cardiology to predict outcomes and assist in clinical decision-making. We sought to develop and validate an ML model for the prediction of mortality after heart transplantation (HT) in adults wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fa296e3dd610709eb4dc419ccdfecd8
https://pubmed.ncbi.nlm.nih.gov/36315983
https://pubmed.ncbi.nlm.nih.gov/36315983
Autor:
Alexandros Briasoulis, Polydoros Kampaktsis, Maria Emfietzoglou, Toshiki Kuno, Jef Van den Eynde, Argyrios Ntalianis, Ernesto Ruiz Duque, Aaqib H Malik
Publikováno v:
Angiology.
Despite advances in temporary mechanical circulatory support (TMCS), in-hospital mortality and morbidity related to cardiogenic shock due to ST elevation myocardial infarction (CS-STEMI) are highly prevalent. We identified admissions with CS-STEMI be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::065357a5777bfd2611a3033e9b4c38c8
https://pubmed.ncbi.nlm.nih.gov/35440216
https://pubmed.ncbi.nlm.nih.gov/35440216