Isabel Muñoz Pousa

Machine learning-based prediction of adverse events following an acute coronary syndrome (PRAISE): a modelling study of pooled datasets

Fabrizio D’Ascenzo, Ovidio De Filippo, Guglielmo Gallone et al. · The Lancet · 2021 · 334 citations · Full text

Computing, Cardiology, Data Science +17

P2Y12 inhibitors in acute coronary syndrome patients with renal dysfunction: an analysis from the RENAMI and BleeMACS projects

Ovidio De Filippo, Fabrizio D’Ascenzo, Sergio Raposeiras‐Roubín et al. · European Heart Journal - Cardiovascular Pharmacotherapy · 2019 · 53 citations · Full text

Medicine, Cardiology, Pharmacology +17

Impact of Right Ventricular Pacing in Patients With TAVR Undergoing Permanent Pacemaker Implantation

Francesco Bruno, Isabel Muñoz Pousa, Francesco Saia et al. · JACC: Cardiovascular Interventions · 2023 · 49 citations

Medicine, Cardiology, Internal Medicine +14

Average daily ischemic versus bleeding risk in patients with ACS undergoing PCI: Insights from the BleeMACS and RENAMI registries

Fabrizio D’Ascenzo, Carloalberto Biolè, Sergio Raposeiras‐Roubín et al. · American Heart Journal · 2019 · 39 citations · Full text

Medicine, Cardiology, Internal Medicine +13

Long versus short dual antiplatelet therapy in acute coronary syndrome patients treated with prasugrel or ticagrelor and coronary revascularization: Insights from the RENAMI registry

Fabrizio D’Ascenzo, Maurizio Bertaina, Francesco Fioravanti et al. · European Journal of Preventive Cardiology · 2019 · 36 citations

Medicine, Cardiology, Pharmacotherapy +17