Sergio Manzano‐Fernández

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

Soluble ST2, High-Sensitivity Troponin T- and N-Terminal Pro-B-Type Natriuretic Peptide: Complementary Role for Risk Stratification in Acutely Decompensated Heart Failure

Domingo A. Pascual‐Figal, Sergio Manzano‐Fernández, Miguel Gómez-Boronat et al. · European Journal of Heart Failure · 2011 · 259 citations · Full text

Medicine, Cardiology, Critical Care Cardiology +13

Red Blood Cell Distribution Width Predicts Long-Term Outcome Regardless of Anaemia Status in Acute Heart Failure Patients

Domingo A. Pascual‐Figal, Juan C. Bonaque, Belén Redondo et al. · European Journal of Heart Failure · 2009 · 246 citations · Full text

Medicine, Cardiology, Hematology +9

Usefulness of Soluble Concentrations of Interleukin Family Member ST2 as Predictor of Mortality in Patients With Acutely Decompensated Heart Failure Relative to Left Ventricular Ejection Fraction

Sergio Manzano‐Fernández, Thomas Mueller, Domingo A. Pascual‐Figal et al. · The American Journal of Cardiology · 2011 · 208 citations

Medicine, Cardiology, Internal Medicine +9

Predictive Value of the HAS-BLED and ATRIA Bleeding Scores for the Risk of Serious Bleeding in a “Real-World” Population With Atrial Fibrillation Receiving Anticoagulant Therapy

Vanessa Roldán, Hermógenes Fernández, Sergio Manzano‐Fernández et al. · CHEST Journal · 2012 · 196 citations

Medicine, Cardiology, Hematology +16