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 · 324 citations

Adverse Events, Health Informatics, Machine Learning +14

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 · 51 citations · Full text

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 · 45 citations

Electrophysiological Evaluation, Heart Failure, Device Therapy +8

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

Thrombosis, Percutaneous Coronary Intervention, Cardiovascular Disease +9

Comparative external validation of the PRECISE-DAPT and PARIS risk scores in 4424 acute coronary syndrome patients treated with prasugrel or ticagrelor

Matteo Bianco, Fabrizio D’Ascenzo, Sergio Raposeiras‐Roubín et al. · International Journal of Cardiology · 2019 · 35 citations · Full text

Percutaneous Coronary Intervention, Thrombosis, Epidemiology +13