Predicting mortality in hospitalized influenza patients: integration of deep learning-based chest X-ray severity score (FluDeep-XR) and clinical variables.

Objectives: To pioneer the first artificial intelligence system integrating radiological and objective clinical data, simulating the clinical reasoning process, for the early prediction of high-risk influenza patients.

Materials And Methods: Our system was developed using a cohort from National Taiwan University Hospital in Taiwan, with external validation data from ASST Grande Ospedale Metropolitano Niguarda in Italy. Convolutional neural networks pretrained on ImageNet were regressively trained using a 5-point scale to develop the influenza chest X-ray (CXR) severity scoring model, FluDeep-XR.

Bloodstream infections due to multi-drug resistant bacteria in the emergency department: prevalence, risk factors and outcomes-a retrospective observational study.

Multidrug-resistant organisms (MDROs) are prevalent in patients admitted to the Emergency Department (ED) and increase the risk of inappropriate empirical antibiotic therapy. Risk stratification for MDRO infection is essential to early identify patients requiring empirical broad-spectrum antibiotic therapy, but it remains challenging for emergency physicians. This study aimed to evaluate prevalence, risk factors, and outcomes of patients admitted to the ED with a bloodstream infection (BSI) caused by MDROs.

Neurological hypertensive emergencies: Correlation of blood pressure values with in-hospital outcomes in ischemic stroke.

Background: Few certainties exist regarding optimal management of Blood Pressure (BP) in the very first hours after an ischemic stroke and many questions remain still unanswered. Our work aimed to evaluate the role of BP and its trend as possible determinants of in-hospital mortality (primary outcome), discharge disabilities and hospitalization length (secondary outcomes) in ischemic stroke patients presented with Hypertensive Emergencies (HE).

Methods: We retrospectively evaluated patients presented to Niguarda Hospital, Emergency Department (ED), from 2015 to 2017 with a neurological ischemic HE.

Neurological manifestations in patients hospitalized with COVID-19: A retrospective analysis from a large cohort in Northern Italy.

SARS-CoV2 infection is a systemic disease that may involve multiple organs, including the central nervous system (CNS). Aims of our study are to describe prevalence and clinical features of neurological manifestations, mortality and hospital discharge in subjects hospitalized with COVID-19. All individuals admitted for to our hospital COVID-19 were retrospectively included.

Effectiveness of infection-containment measures on SARS-CoV-2 seroprevalence and circulation from May to July 2020, in Milan, Italy.

Objective: Through a hospital-based SARS-CoV-2 molecular and serological screening, we evaluated the effectiveness of two months of lockdown and two of surveillance, in Milan, Lombardy, the first to be overwhelmed by COVID-19 pandemics during March-April 2020.

Methods: All subjects presenting at the major hospital of Milan from May-11 to July-5, 2020, underwent a serological screening by chemiluminescent assays. Those admitted were further tested by RT-PCR.