Disorders of Consciousness

Disorders of Consciousness are a big challenge for the entire process of rehabilitation: assessment, diagnosis, pharmacological, and rehabilitation programs, including conventional treatments and the use of new technologies

Evidence-Based PET for Neurological Diseases

Over the past two decades, one of the major breakthroughs for the approach to neurological diseases both in the clinical and research settings has been represented by the validation of diagnostic biomarkers able to demonstrate the presence of pathological mechanisms, alteration in neurotransmission as well as to predict disease progression [1, 2]. The use of PET with different tracers as well as other imaging biomarkers support the etiological diagnosis of neurological disorders in vivo. This approach is particularly relevant in the field of neurodegenerative diseases. In fact, neurodegenerative diseases are characterized by the progressive degeneration and death of neurons. They represent a heterogeneous group of conditions characterized by different etiologies, different neuropathological and neurochemical alterations leading to different clinical pictures and courses [3]. Indeed, an early accurate diagnosis allows to tackle the disease with available or experimental intervention, lifestyle changes, or logistical arrangements, before disability has developed. Early intervention is expected to have greater clinical impact, extend independent and active life, improve its quality, and decrease the burden and costs of the disease [4]. However, the validation of PET tracers in neurological disease is still ongoing, and evidence on its comparative and combined diagnostic value with respect to other biomarkers is incomplete [4, 5]. As a matter of fact, the increasing pressure for cost-effectiveness requires systematic assessment and validation of all biomarker performance in the clinical settings. Similarly only an evidence-based approach to new PET tracers can allow to select the most promising tracers for PET imaging in the research field both for pathophysiological investigations and for upcoming diagnostic approaches

Patient Safety in Internal Medicine

AbstractHospital Internal Medicine (IM) is the branch of medicine that deals with the diagnosis and non-surgical treatment of diseases, providing the comprehensive care in the office and in the hospital, managing both common and complex illnesses of adolescents, adults, and the elderly. IM is a key ward for Health National Services. In Italy, for example, about 17.3% of acute patients are discharged from the IM departments. After the epidemiological transition to chronic/degenerative diseases, patients admitted to hospital are often poly-pathological and so requiring a global approach as in IM. As such transition was not associated—with rare exceptions—to hospital re-organization of beds and workforce, IM wards are often overcrowded, burdened by off-wards patients and subjected to high turnover and discharge pressure. All these factors contribute to amplify some traditional clinical risks for patients and health operators. The aim of our review is to describe several potential errors and their prevention strategies, which should be implemented by physicians, nurses, and other healthcare professionals working in IM wards

Study of the mechanical behavior of light mortars produced by thermal treatment, with coal waste of Jerada mine (eastern Morocco)

International audienc

Numerical study of the effect of concrete cover and the friction of steel concrete interface

The work presented in this paper resume a numerical analysis of the concrete cover effect, on the resistance of the steel-concrete interface. The effect of friction on the interface behavior is also included. For this, a brief description of the experimental steps generally used for the characterization of the steel-concrete interface is presented. Also, the CDP model, Concrete Damage Plasticity, is illustrated. The results of the numerical simulation using the Abaqus code are presented with different diameters of coatings with and without friction

Étude numérique de l’effet de l’enrobage et du frottement sur l’interface acier béton

International audienc

Ventricular Assist Device Patient Phenotypes: What Attributes Describe Long Term Survival?

Purpose: Presently, 50% of patients on LVAD support are alive on therapy at 5 years. While preoperative (preop) variables can predict short term (ST) survival, correlates of long term (LT) survival remain poorly characterized. Using Intermacs-STS, we aim to identify preop and postoperative correlates of LT survival. Methods: Patients (n=16474) undergoing LVAD implant (2012-18) in Intermacs-STS were categorized as ST (survival ≤1 year postoperative, n=7483), mid-term (MT, 1-3 years, n=5976) and LT (\u3e3 years, n=3015) survivors. Pre-implant characteristics and events during support were compared between the three groups to identify mortality correlates. Results: Compared with patients dying in the ST, LT survivors were more likely to be younger, not listed for transplant, with higher BSA and VAS scores and several lower risk preop characteristics but differences between MT and LT survivors were not clinically significant (table). On multi-variable analysis, patients suffering post-LVAD stroke (HR 1.42, image), any major infection (HR 1.13), pump related infection (HR 1.19), and/or device malfunction (HR=1.22) (all p\u3c0.001) were less likely to live \u3e1 year, as were patients with a history of pulmonary disease (HR 1.19, 0.01), cancer (HR 1.26, p=0.01), CABG (HR 1.24, p\u3c0.001), hepatitis (HR 1.54, p=0.002) and active smoking (1.44, p \u3c0.001). Conclusion: The preop clinical features of ST and LT survivors vary significantly. Preop characteristics mainly select out early deaths, failing to accurately characterize survival after 1 year. LT survival is heavily influenced by device complications and pre-existing medical co-morbidities