Publicaciones en colaboración con investigadores/as de University of Milano-Bicocca (36)

2022

  1. An expert consensus on practical clinical recommendations and guidance for patients with classic Fabry disease

    Molecular Genetics and Metabolism, Vol. 137, Núm. 1-2, pp. 49-61

  2. European Heart Rhythm Association (EHRA)/Heart Rhythm Society (HRS)/Asia Pacific Heart Rhythm Society (APHRS)/Latin American Heart Rhythm Society (LAHRS) Expert Consensus Statement on the State of Genetic Testing for Cardiac Diseases

    Heart Rhythm, Vol. 19, Núm. 7, pp. e1-e60

  3. European Heart Rhythm Association (EHRA)/Heart Rhythm Society (HRS)/Asia Pacific Heart Rhythm Society (APHRS)/Latin American Heart Rhythm Society (LAHRS) Expert Consensus Statement on the state of genetic testing for cardiac diseases

    Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology, Vol. 24, Núm. 8, pp. 1307-1367

  4. European Heart Rhythm Association (EHRA)/Heart Rhythm Society (HRS)/Asia Pacific Heart Rhythm Society (APHRS)/Latin American Heart Rhythm Society (LAHRS) Expert Consensus Statement on the state of genetic testing for cardiac diseases

    Journal of Arrhythmia, Vol. 38, Núm. 4, pp. 491-553

  5. Geoeconomic variations in epidemiology, ventilation management, and outcomes in invasively ventilated intensive care unit patients without acute respiratory distress syndrome: a pooled analysis of four observational studies

    The Lancet Global Health, Vol. 10, Núm. 2, pp. e227-e235

  6. It is time to define an organizational model for the prevention and management of infections along the surgical pathway: a worldwide cross-sectional survey

    World Journal of Emergency Surgery, Vol. 17, Núm. 1

  7. Mechanical ventilation in patients with cardiogenic pulmonary edema: a sub-analysis of the LUNG SAFE study

    Journal of Intensive Care, Vol. 10, Núm. 1

  8. Novel genes and sex differences in COVID-19 severity

    Human molecular genetics, Vol. 31, Núm. 22, pp. 3789-3806

  9. Validation and utility of ARDS subphenotypes identified by machine-learning models using clinical data: an observational, multicohort, retrospective analysis

    The Lancet Respiratory Medicine, Vol. 10, Núm. 4, pp. 367-377