A worldwide assessment of the mechanical ventilation in patients with acute exacerbations of chronic obstructive pulmonary disease. Analysis of the VENTILAGROUP over time. A retrospective, multicenter study.

Background: The trend over time and across different geographical areas of outcomes and management with noninvasive ventilation or invasive mechanical ventilation in patients admitted for acute exacerbations of chronic obstructive pulmonary disease and treated with ventilatory support is unknown. The purpose of this study was to describe outcomes and identify variables associated with survival for patients admitted to an intensive care unit (ICU) with acute exacerbation of chronic obstructive pulmonary disease [aeCOPD] who received noninvasive or invasive mechanical ventilation worldwide.

Methods: Retrospective, multi-national, and multicenter studies, including four observational cohort studies, were carried out in 1998, 2004, 2010, and 2016 for the VENTILAGROUP following the same methodology.

Dialysis disequilibrium syndrome: A case report.

The dialysis disequilibrium syndrome is a severe, but rare complication that can occur during or after hemodialysis. It primarily arises from an osmotic gradient, between the plasma and the brain, resulting from the rapidity of the dialysis. This gradient leads to the development of cerebral edema and an increase in intracranial pressure, manifesting as various neurological symptoms.

[Care offered to people living with HIV: the social representations of nurses in a Moroccan university hospital].

Introduction: The social representations (SRs) of nurses on HIV/AIDS and the care provided to people living with HIV are diverse and different depending on the context. This study aims to understand the SRs of nurses on the disease and on the care provided.

Method: A qualitative study conducted in 2018 with 50 nurses practicing in 11 specialized departments, belonging to seven Moroccan university hospitals.

Driving Pressure Is a Risk Factor for ARDS in Mechanically Ventilated Subjects Without ARDS.

Background: Driving pressure (ΔP) has been described as a risk factor for mortality in patients with ARDS. However, the role of ΔP in the outcome of patients without ARDS and on mechanical ventilation has received less attention. Our objective was to evaluate the association between ΔP on the first day of mechanical ventilation with the development of ARDS.

Machine learning predicts mortality based on analysis of ventilation parameters of critically ill patients: multi-centre validation.

Background: Mechanical Ventilation (MV) is a complex and central treatment process in the care of critically ill patients. It influences acid-base balance and can also cause prognostically relevant biotrauma by generating forces and liberating reactive oxygen species, negatively affecting outcomes. In this work we evaluate the use of a Recurrent Neural Network (RNN) modelling to predict outcomes of mechanically ventilated patients, using standard mechanical ventilation parameters.