Anno 2023

Organizational learning in healthcare contexts after Covid-19: a study of 10 intensive care units in Central and Northern Italy through framework analysis

Anno 2023 /

Gambirasio M, Magatti D, Barbetta V, Brena S, Lizzola G, Pandolfini C, Sommariva F, Zamperoni A, Finazzi S, Ivaldi S
Int J Environ Res Public Health 2023 ; 20 : 6699

Organizational learning in healthcare contexts after Covid-19: a study of 10 intensive care units in Central and Northern Italy through framework analysis Leggi tutto »

A simple machine learning-derived rule to promote ERAS pathways in Liver Transplantation

Anno 2023 /

Paolo Cerchiara, Cristiana Laici, Andrea De Gasperi,Manlio Prosperi, Matilde Perego, Elena Augusta Guffanti, Giovanni Chierego,Gaetano Azan, Roberto Balagna, Antonio Siniscalchi, Gianpaola Monti, Martina Tosi,Ciro Esposito, Elisabetta Cerutti, Stefano Finazzi, on behalf of the GIVITI group.
Journal of Liver Transplantation 12 (2023) 100179

A simple machine learning-derived rule to promote ERAS pathways in Liver Transplantation Leggi tutto »

Continuous and early prediction of future moderate and severe Acute Kidney Injury in critically ill patients: Development and multi-centric, multi-national external validation of a machine-learning model

Anno 2023 /

Alfieri F, Ancona A, Tripepi G, Rubeis A, Arjoldi N, Finazzi S, Cauda V, Fagugli R M
PLoS One 2023 ; 18 : e0287398
IF: 2.9

Continuous and early prediction of future moderate and severe Acute Kidney Injury in critically ill patients: Development and multi-centric, multi-national external validation of a machine-learning model Leggi tutto »

Physiologic dead space is independently associated with mortality and discharge of mechanically-ventilated patients with COVID-19 ARDS: a retrospective study

Anno 2023 /

Lung ultrasound (LUS) is a validated technique for the prompt diagnosis and bedside monitoring of critically ill patients due to its availability, safety profile, and cost-effectiveness. The aim of this work is to detect similarities and differences among LUS reports performed in ICUs and to provide a common ground for an integrated report form

Physiologic dead space is independently associated with mortality and discharge of mechanically-ventilated patients with COVID-19 ARDS: a retrospective study Leggi tutto »

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