Results 191 to 200 of about 31,062 (287)

Impact of Finerenone in Patients with Heart Failure and Reduced/Mildly Reduced Ejection Fraction, Diabetes Mellitus, and Chronic Kidney Disease. [PDF]

J Clin Med
Hida Y, Imamura T, Kinugawa K.
europepmc   +1 more source

Indirect mitral annuloplasty in patients with reduced or preserved ejection fraction: A real‐world, single‐centre experience

ESC Heart Failure, EarlyView.
Abstract Aims We aim to evaluate the real‐world effectiveness and safety of the Carillon Mitral Contour System (CMCS) for indirect annuloplasty in patients with heart failure (HF) and secondary mitral regurgitation (SMR). Methods and results This was a single‐centre retrospective study of 204 consecutive patients (age 83 ± 6 years, 68% female, 72 ...
Holger Priebe‐Brämer, Firas Jaly, Nithusa Rahunathan, Mark Luedde, Alexander Albert, Klaus K. Witte, Hans‐Joerg Hippe   +6 more
wiley   +1 more source

All-cause mortality and cardiovascular outcomes with glucagon-like peptide-1 receptor agonists in patients with type 2 diabetes and heart failure with reduced ejection fraction. [PDF]

Am Heart J Plus
Vignarajah A, Oro P, El Dahdah J, Vigneswaramoorthy N, Vest AR, Shah G.   +5 more
europepmc   +1 more source

Metabolic and Pharmacokinetic Profiling of a Ketone Ester by Background SGLT2 Inhibitor Therapy in HFrEF

Senthil Selvaraj, Lydia Coulter Kwee, Elizabeth J. Thompson, M He, Christoph P. Hornik, Adam D. DeVore, Chetan B. Patel, Robert J. Mentz, Marat Fudim, Lacey D. Taylor, Stephanie Milosovic, Melissa Hurdle, W. Todd Cade, Olga Ilkayeva, Michael J. Muehlbauer, C. B. Newgard, Daniel P. Kelly, Payman Zamani, Kenneth B. Margulies, Svati H. Shah   +19 more
openalex   +1 more source

Prospects for use of Vericiguat in HFrEF: Implications of VICTORIA Trial Results. Advisory Board Summary

, 2023
Yu. N. Belenkov, G. P. Arutyunov, Mareev VIu, Н. А. Козиолова, M. Yu. Sitnikova, Ф. Т. Агеев, S. R. Gilyarevsky, А. И. Чесникова, S. S. Yаkushin, Н. Б. Перепеч, Mareev VIu   +10 more
openalex   +1 more source

Economic burden of heart failure in Europe: A systematic review of costs and cost‐effectiveness

ESC Heart Failure, EarlyView.
Abstract Heart failure (HF) affects over 64 million individuals worldwide and is a major cause of hospitalization and mortality, particularly among older adults. In Europe, HF imposes a significant and growing economic burden. This systematic review aimed to evaluate the economic impact of HF diagnosis, treatment and management across European ...
Josep Darbà, Meritxell Ascanio, Antonio Rodríguez, Sarah J. Charman, Nduka C. Okwose, Renae J. Stefanetti, Amy Groenewegen, Annamaria Del Franco, Maria Tafelmeier, Andrej Preveden, Amy S. Fuller, Fatima Bano, David R. Sinclair, Duncan Edwards, Anne P. Nelissen, Petros N. Malitas, Aikaterini Zisaki, Zoran Bosnić, Petar Vračar, Alessandra Fornaro, Fausto Barlocco, Dimitris Fotiadis, Prithwish Banerjee, Guy A. MacGowan, Oscar Fernandez, José Luis Zamorano, Marta Jimenez‐Blanco Bravo, Lars S. Maier, Iacopo Olivotto, Massimo Milli, Frans H. Rutten, Jonathan Mant, Lazar Velicki, Petar M. Seferovic, Nenad Filipovic, Djordje G. Jakovljevic, and on behalf of STRATIFYHF investigators, Laura Sasso, Alessandra Milazzo, Giulia Taborchi, Serena Fatucchi, Aleksandra Milovancev, Kate Williams, Patience Jecheche, Borut Flis, Dimitrios Boucharas, Dimitris Manousos, Manolis Tsiknakis, Thomas Kassiotis, Tijana Sustersic, Bogdan Milicevic, Marija Gacic, Milica Kaplarevic, F.D. Richard Hobbs, Onno Kaagman   +54 more
wiley   +1 more source

A Real-World Study Assessing the Dosage Pattern and Demographics of Patients with HFrEF Initiated on ARNi in India: Baseline Characteristics of the add ARNi Study

Sanjay Mittal
openalex   +1 more source

Cost Consequence Analysis for Optimising Medical Therapy in an Australian Heart Failure with Reduced Ejection Fraction (HFrEF) Cohort [PDF]

, 2019
R Chatterjee, Douglas Drak
openalex   +1 more source

Machine learning approach to identify phenotypes in patients with ischaemic heart failure with reduced ejection fraction

European Journal of Heart Failure, EarlyView.
Summary of the machine learning clustering methodology and results of the study. Clusters are identified using machine learning approach in the learning set population evaluating specific combinations of multiple characteristics. Then identified clusters are predicted and tested in the learning set to evaluate their association with outcomes.
Luca Monzo, Emmanuel Bresso, Kenneth Dickstein, Bertram Pitt, John G.F. Cleland, Stefan D. Anker, Carolyn S.P. Lam, Mandeep R. Mehra, Dirk J. van Veldhuisen, Barry Greenberg, Faiez Zannad, Nicolas Girerd   +11 more
wiley   +1 more source

Single-cell transcriptomic profiling reveals cell type heterogeneity between HFpEF and HFrEF. [PDF]

Commun Biol
Xiao X, Wu W, Mao Q, Li B, Wang J, Liu S, Zhao H, Long E, Wang J.   +8 more
europepmc   +1 more source