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Patrick Rossignol

Showing results (381-390 of 461) with videos related to

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Arteriosclerosis, Thrombosis, and Vascular Biology|March 22, 2014
Circulating osteoglycin and NGAL/MMP9 complex concentrations predict 1-year major adverse cardiovascular events after coronary angiographyJin M Cheng, K Martijn Akkerhuis, Olivier Meilhac, et al.
The American Journal of Medicine|April 5, 2023
Renin-Angiotensin Inhibition and Outcomes in HFrEF and Advanced Kidney DiseaseSamir Patel, Phillip H Lam, Evangelos I Kanonidis, et al.
European Journal of Heart Failure|April 17, 2023
A machine learning-derived echocardiographic algorithm identifies people at risk of heart failure with distinct cardiac structure, function, and response to spironolactone: Findings from the HOMAGE trialMasatake Kobayashi, Olivier Huttin, João Pedro Ferreira, et al.
Clinical Kidney Journal|March 3, 2023
A comparative post hoc analysis of finerenone and spironolactone in resistant hypertension in moderate-to-advanced chronic kidney diseaseRajiv Agarwal, Bertram Pitt, Biff F Palmer, et al.
Scientific Reports|April 17, 2019
Low fibrosis biomarker levels predict cardiac resynchronization therapy responseGrégoire Massoullié, Vincent Sapin, Sylvain Ploux, et al.
European Journal of Heart Failure|January 8, 2020
Evaluation of kidney function throughout the heart failure trajectory - a position statement from the Heart Failure Association of the European Society of CardiologyWilfried Mullens, Kevin Damman, Jeffrey M Testani, et al.
Therapie|September 18, 2014
Telemedicine: what framework, what levels of proof, implementation rulesFaiez Zannad, Philippe Maugendre, Antoine Audry, et al.
Journal of Cachexia, Sarcopenia and Muscle|March 20, 2021
The value of spot urinary creatinine as a marker of muscle wasting in patients with new-onset or worsening heart failurePaloma Pandhi, Koen W Streng, Stefan D Anker, et al.
JACC. Cardiovascular Imaging|September 20, 2021
Machine Learning-Derived Echocardiographic Phenotypes Predict Heart Failure Incidence in Asymptomatic IndividualsMasatake Kobayashi, Olivier Huttin, Martin Magnusson, et al.
Journal of Cardiac Failure|October 10, 2020
Plasma Volume Status and Its Association With In-Hospital and Postdischarge Outcomes in Decompensated Heart FailureMarat Fudim, Joseph B Lerman, Courtney Page, et al.
Pageof 47

Showing results (381-390 of 461) with videos related to

Sort By:
Pageof 47
Arteriosclerosis, Thrombosis, and Vascular Biology|March 22, 2014
Circulating osteoglycin and NGAL/MMP9 complex concentrations predict 1-year major adverse cardiovascular events after coronary angiographyJin M Cheng, K Martijn Akkerhuis, Olivier Meilhac, et al.
The American Journal of Medicine|April 5, 2023
Renin-Angiotensin Inhibition and Outcomes in HFrEF and Advanced Kidney DiseaseSamir Patel, Phillip H Lam, Evangelos I Kanonidis, et al.
European Journal of Heart Failure|April 17, 2023
A machine learning-derived echocardiographic algorithm identifies people at risk of heart failure with distinct cardiac structure, function, and response to spironolactone: Findings from the HOMAGE trialMasatake Kobayashi, Olivier Huttin, João Pedro Ferreira, et al.
Clinical Kidney Journal|March 3, 2023
A comparative post hoc analysis of finerenone and spironolactone in resistant hypertension in moderate-to-advanced chronic kidney diseaseRajiv Agarwal, Bertram Pitt, Biff F Palmer, et al.
Scientific Reports|April 17, 2019
Low fibrosis biomarker levels predict cardiac resynchronization therapy responseGrégoire Massoullié, Vincent Sapin, Sylvain Ploux, et al.
European Journal of Heart Failure|January 8, 2020
Evaluation of kidney function throughout the heart failure trajectory - a position statement from the Heart Failure Association of the European Society of CardiologyWilfried Mullens, Kevin Damman, Jeffrey M Testani, et al.
Therapie|September 18, 2014
Telemedicine: what framework, what levels of proof, implementation rulesFaiez Zannad, Philippe Maugendre, Antoine Audry, et al.
Journal of Cachexia, Sarcopenia and Muscle|March 20, 2021
The value of spot urinary creatinine as a marker of muscle wasting in patients with new-onset or worsening heart failurePaloma Pandhi, Koen W Streng, Stefan D Anker, et al.
JACC. Cardiovascular Imaging|September 20, 2021
Machine Learning-Derived Echocardiographic Phenotypes Predict Heart Failure Incidence in Asymptomatic IndividualsMasatake Kobayashi, Olivier Huttin, Martin Magnusson, et al.
Journal of Cardiac Failure|October 10, 2020
Plasma Volume Status and Its Association With In-Hospital and Postdischarge Outcomes in Decompensated Heart FailureMarat Fudim, Joseph B Lerman, Courtney Page, et al.
Pageof 47