Machine Learning to Predict In-Hospital Mortality in COVID-19 Patients Using Computed Tomography-Derived Pulmonary and Vascular Features.

Pulmonary parenchymal and vascular damage are frequently reported in COVID-19 patients and can be assessed with unenhanced chest computed tomography (CT), widely used as a triaging exam. Integrating clinical data, chest CT features, and CT-derived vascular metrics, we aimed to build a predictive model of in-hospital mortality using univariate analysis (Mann-Whitney test) and machine learning models (support vectors machines (SVM) and multilayer perceptrons (MLP)). Patients with RT-PCR-confirmed SARS-CoV-2 infection and unenhanced chest CT performed on emergency department admission were included after retrieving their outcome (discharge or death), with an 85/15% training/test dataset split.

Intensive care for seriously ill patients affected by novel coronavirus sars - CoV - 2: Experience of the Crema Hospital, Italy.

Aims: In this work, the survival and mortality data of 54 consecutive patients admitted to the Intensive Care Unit (ICU) and suffering from severe respiratory insufficiency imputable to viral SARS - CoV - 2 infection were analyzed and shared, after a critical review of the evidence in order to optimize the most dedicated clinical and treatment strategy, for a future 'targeted' management in the care of the possible return flu outbreak.

Methods: At our Emergency Department of the Crema Hospital, from the beginning of the pandemic until the end of June 2020, 54 consecutive patients admitted to ICU suffering from severe acute respiratory infection (SARI) and severe respiratory distress (ARDS) attributable to viral SARS - CoV - 2 infection were recruited. The recruitment criterion was based on refractory hypoxia, general condition and clinical impairment, comorbidities and CT images.

Homoleptic 1-D iron selenolate complexes-synthesis, structure, magnetic and thermal behaviour of (1)(∞)[Fe(SeR)2] (R=Ph, Mes).

The first examples of polymeric homoleptic iron chalcogenolato complexes (1)(∞)[Fe(SePh)(2)] and (1)(∞)[Fe(SeMes)(2)] (Ph = phenyl = C(6)H(5), Mes = mesityl = C(6)H(2)-2,4,6-(CH(3))(3)) have been both prepared by reaction of [Fe(N(SiMe(3))(2))(2)] with two equivalents of HSeR (R = Ph, Mes) while (1)(∞)[Fe(SePh)(2)] was found to be also easily accessible through reactions of either FeCl(2), Fe(OOCCH(3))(2) or FeCl(3) with PhSeSiMe(3) in THF. In the crystal, the two compounds form one-dimensional chains with bridging selenolate ligands comprising distinctly different Fe-Se-Fe bridging angles, namely 71.15-72.

Magnesium imide: synthesis and structure determination of an unconventional alkaline earth imide from decomposition of magnesium amide.

Magnesium imide (MgNH) was produced by monitoring the decomposition process of magnesium amide with in situ neutron diffraction. Significant changes in the structure of magnesium amide are detected during heat treatment and eventually result in the formation of crystalline MgNH. A model for the crystal structure of magnesium imide (MgNH) is presented for the first time.

EPR study of the surface basicity of calcium oxide. 3. Surface reactivity and nonstoichiometry.

High surface area polycrystalline calcium oxide forms ozonide O3- ions upon O2 adsorption and NO3(2-) anions under low pressures of NO. Both radical anions, detected by electron paramagnetic resonance (EPR), are not observed in the case of the homologous magnesium oxide. This behavior reveals the presence, in CaO, of anomalies with respect to the ideal composition of an ionic oxide which are identified in terms of two main types of defects.