The SARS-CoV-2 pandemic as a source of unprecedented bioethical and biolaw issues: lessons for intensivists.

The following article presents the relevant and unprecedented bioethical and biolaw issues posed by the SARS-COV-2 pandemic and summarizes the initiatives adopted by the Italian Society of Anesthesia and Resuscitation (SIAARTI) as well as by the Veneto Region ICU Network. Since the initial phase of the pandemic, in March 2020, there has been a strong appeal from both SIAARTI and the Veneto Region ICU Network to consider "the appropriate intensive treatment." During the pandemic, the principle of proportionality must be applied, in compliance with the main principle in bioethics.

Continuous vs Intermittent Meropenem Administration in Critically Ill Patients With Sepsis: The MERCY Randomized Clinical Trial.

Importance: Meropenem is a widely prescribed β-lactam antibiotic. Meropenem exhibits maximum pharmacodynamic efficacy when given by continuous infusion to deliver constant drug levels above the minimal inhibitory concentration. Compared with intermittent administration, continuous administration of meropenem may improve clinical outcomes.

The PROVENT-C19 registry: A study protocol for international multicenter SIAARTI registry on the use of prone positioning in mechanically ventilated patients with COVID-19 ARDS.

Background: The worldwide use of prone position (PP) for invasively ventilated patients with COVID-19 is progressively increasing from the first pandemic wave in everyday clinical practice. Among the suggested treatments for the management of ARDS patients, PP was recommended in the Surviving Sepsis Campaign COVID-19 guidelines as an adjuvant therapy for improving ventilation. In patients with severe classical ARDS, some authors reported that early application of prolonged PP sessions significantly decreases 28-day and 90-day mortality.

COVID-19 ICU mortality prediction: a machine learning approach using SuperLearner algorithm.

Background: Since the beginning of coronavirus disease 2019 (COVID-19), the development of predictive models has sparked relevant interest due to the initial lack of knowledge about diagnosis, treatment, and prognosis. The present study aimed at developing a model, through a machine learning approach, to predict intensive care unit (ICU) mortality in COVID-19 patients based on predefined clinical parameters.

Results: Observational multicenter cohort study.

Static compliance and driving pressure are associated with ICU mortality in intubated COVID-19 ARDS.

Background: Pathophysiological features of coronavirus disease 2019-associated acute respiratory distress syndrome (COVID-19 ARDS) were indicated to be somewhat different from those described in nonCOVID-19 ARDS, because of relatively preserved compliance of the respiratory system despite marked hypoxemia. We aim ascertaining whether respiratory system static compliance (Crs), driving pressure (DP), and tidal volume normalized for ideal body weight (VT/kg IBW) at the 1st day of controlled mechanical ventilation are associated with intensive care unit (ICU) mortality in COVID-19 ARDS.

Methods: Observational multicenter cohort study.