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IntroductionMechanical thrombectomy (MT) is the first line treatment in acute ischemic stroke (AIS) due to large vessel occlusion (LVO). Approximately half of patients treated with MT does not have a favorable outcome 3 months after stroke. The aim of this study was to identify predictors of futile recanalization (FR) in patients with LVO treated with MT.MethodsA retrospective analysis of consecutive patients with acute ischemic stroke due to anterior circulation LVO who underwent MT. Patients with a TICI score of 2b or 3 were included. We distinguished two groups, FR and meaningful recanalization (MR), according to patients' disability three months after stroke (FR: mRS score > 2; MR: mRS score < 2).ResultsWe enrolled 238 patients (FR, n = 129, 54.2%; MR, n = 109, 45.8%). Age (OR 1.05, 95% CI 1.01–1.09, p = 0.012), female sex (OR 2.43, 95% CI 1.12–5.30, p = 0.025), stress hyperglycemia, as measured by the GAR index, (OR 1.17, 95% CI 1.06–1.29, p = 0.002), NIHSS at admission (OR 1.15, 95% CI 1.07–1.25, p = 0.001) and time from symptoms onset to MT (OR 1.01, 95% CI 1.00–1.01, p = 0.020) were independent predictors of FR. The AUC for the model combining age, female sex, GAR index, NIHSS at admission and time from symptoms onset to MT was 0.81 (95% CI 0.76–0.87; p < 0.001). The optimal GAR index cut-off score to predict FR was 17.9.DiscussionFR is common after MT. We recognized older age, female sex and baseline NIHSS as non-modifiable predictors of FR. On the other hand, time from symptoms onset to MT and stress hyperglycemia were modifiable pre- and post-MT factors, respectively. Any effort should be encouraged to reduce the impact of these modifiable predictors.

The huge and steady growth in the number of distributed devices connected to the global network as a so-called Internet of Things (IoT) calls for infrastructure management techniques able to deal with this overwhelming complexity, especially in light of the growing impact of the sharing economy and the role played by the so-called "long tail". In this context, the as-a-Service approach provides well investigated mechanisms for infrastructure and service provisioning, and an interesting challenge lies in evaluating its application to the instantiation and lifecycle management of a dynamic, possibly virtualised, infrastructure of sensing (and actuation) resources. Apart from the flexibility of renting this kind of resources according to the utility model, by providing access at the lowest level where possible, the research path undertaken in this dissertation is meant to provide even bigger scope to the scenarios under consideration, from a platform for opportunistic and cooperative mobile crowd-sensing to a model for Software-Defined Smart Cities, where dynamic reconfiguration of the wiring among Things ultimately enables wide-area feedback control loops on demand. Yet none of these outcomes, and in particular shaping the surrounding environment, may be achievable without means to interact bidirectionally, and with the greatest control that may be exerted, with physical systems through remote sensors and actuators at one's own fingertips. The premise then lies in engaging the research from a "device-centric" perspective. The infrastructure and platform takes on IoT, the Stack4Things framework as well as other results are then outcomes of this approach. Analytical descriptions of the scenarios, details of the architectures and investigated case studies therefore are here provided, while also reporting and highlighting design choices.

BACKGROUND: No study evaluated vascular health markers in subjects with non-alcoholic fatty liver disease (NAFLD) through a combined analysis of reactive hyperemia peripheral arterial tonometry (RH-PAT) and arterial stiffness indexes. AIM OF THE STUDY: We aimed to assess whether NAFLD and its histological severity are associated with impairment of arterial stiffness and RH-PAT indexes in a mixed cohort of patients with biopsy-proven NAFLD. MATERIALS AND METHODS: The Kleiner classification was used to grade NAFLD grade. Pulse wave velocity (PWV) and augmentation index (Aix) were used as markers of arterial stiffness, whereas endothelial function was assessed using reactive hyperemia index (RHI). The mini-mental state examination (MMSE) was administered to test cognitive performance. RESULTS: 80 consecutive patients with biopsy-proven NAFLD and 83 controls without fatty liver disease. NAFLD subjects showed significantly lower mean RHI, higher mean arterial stiffness indexes and lower mean MMSE score. Multivariable analysis after correction for BMI, dyslipidaemia, hypertension, sex, diabetes, age and cardiovascular disease showed that BMI, diastolic blood pressure and RHI are significantly associated to NAFLD. Simple linear regression analysis showed among non-alcoholic steatohepatitis (NASH) subjects a significant negative relationship between ballooning grade and MMSE and a significant positive association between Kleiner steatosis grade and augmentation index. CONCLUSIONS: Future research will be addressed to evaluate the relationship between inflammatory markers and arterial stiffness and endothelial function indexes in NAFLD subjects. These study will evaluate association between cardiovascular event incidence and arterial stiffness, endothelial and cognitive markers, and they will address the beneficial effects of cardiovascular drugs such as statins and ACE inhibitors on these surrogate markers in NAFLD subjects.

We tested whether nonalcoholic fatty liver disease (NAFLD) and/or its histological severity are associated with vascular white matter lesions (WML) in patients with biopsy-proven NAFLD and in non-NAFLD controls. Data were recorded in 79 consecutive biopsy-proven NAFLD, and in 82 controls with normal ALT and no history of chronic liver diseases, without ultrasonographic evidence of steatosis and liver stiffness value 45 years (OR 3.09, 95% CI: 1.06–9.06, P = 0.03; and OR 11.1, 95% CI: 1.14–108.7, P = 0.03), and F2–F4 fibrosis (OR 3.36, 95% CI: 1.29–8.73, P = 0.01; and OR 5.34, 95% CI: 1.40–20.3, P = 0.01) were independently associated with WML (mostly of mild grade) by multivariate analysis. Among NAFLD, the prevalence of WML progressively increased from patients without (1/18; 5.5%), or with 1 (1/17, 5.8%), to those with 2 (9/30; 30%) and further to those with 3 (12/14; 85.7%) risk factors. The presence of WML is not associated with NAFLD, but with metabolic diseases in general, and fibrosis severity of NAFLD. Clinical implications of this issue need to be assessed by longitudinal studies.