Institution
University of Milano-Bicocca
Education•Milan, Italy•
About: University of Milano-Bicocca is a education organization based out in Milan, Italy. It is known for research contribution in the topics: Population & Blood pressure. The organization has 8972 authors who have published 22322 publications receiving 620484 citations. The organization is also known as: Università degli Studi di Milano-Bicocca & Universita degli Studi di Milano-Bicocca.
Topics: Population, Blood pressure, Large Hadron Collider, Branching fraction, Ambulatory blood pressure
Papers published on a yearly basis
Papers
More filters
••
TL;DR: In this study, different global measures of classification performances are compared by means of results achieved on an extended set of real multivariate datasets and a set of benchmark values based on different random classification scenarios are introduced.
173 citations
••
TL;DR: In males, hypertension is characterized by a higher prevalence of increased iron stores and metabolic abnormalities that are part of theIRHIO syndrome, which may have clinical implications due to the increased risk of IRHIO patients to develop hepatic cirrhosis and also for the role of iron in early atherogenesis.
Abstract: Objectives Insulin-resistance-associated hepatic iron overload syndrome (IRHIO) is characterized by high serum ferritin and presence of metabolic alterations that are part of insulin-resistance syndrome (IRS). Thus, clinical conditions characterized by a high prevalence of IRS may also be characteri
172 citations
••
TL;DR: The role of anti–amyloid β (Aβ) autoantibodies in the acute and remission phases of cerebral amyloid angiopathy–related inflammation is investigated.
Abstract: Objective
Cerebral amyloid angiopathy–related inflammation (CAA-ri) is characterized by vasogenic edema and multiple cortical/subcortical microbleeds, sharing several aspects with the recently defined amyloid-related imaging abnormalities (ARIA) reported in Alzheimer's disease (AD) passive immunization therapies. Herein, we investigated the role of anti–amyloid β (Aβ) autoantibodies in the acute and remission phases of CAA-ri.
Methods
We used a novel ultrasensitive technique on patients from a retrospective multicenter case–control study, and evaluated the anti-Aβ autoantibody concentration in the cerebrospinal fluid (CSF) of 10 CAA-ri, 8 CAA, 14 multiple sclerosis, and 25 control subjects. Levels of soluble Aβ40, Aβ42, tau, P-181 tau, and APOE genotype were also investigated.
Results
During the acute phase of CAA-ri, anti-Aβ autoantibodies were specifically increased and directly correlated with Aβ mobilization, together with augmented tau and P-181 tau. Following clinical and radiological remission, autoantibodies progressively returned to control levels, and both soluble Aβ and axonal degeneration markers decreased in parallel.
Interpretation
Our data support the hypothesis that the pathogenesis of CAA-ri may be mediated by a selective autoimmune reaction against cerebrovascular Aβ, directly related to autoantibody concentration and soluble Aβ. The CSF dosage of anti-Aβ autoantibodies with the technique here described can thus be proposed as a valid alternative tool for the diagnosis of CAA-ri. Moreover, given the similarities between ARIA developing spontaneously and those observed during immunization trials, anti-Aβ autoantibodies can be considered as novel potential biomarkers in future amyloid-modifying therapies for the treatment of AD and CAA. Ann Neurol 2013;73:449–458
172 citations
••
Icahn School of Medicine at Mount Sinai1, University of Pennsylvania2, Regeneron3, Columbia University4, Monash University5, Mayo Clinic6, New York University7, University of Iowa8, University of Melbourne9, University of Cincinnati10, University of Genoa11, University of Dundee12, University of Milano-Bicocca13, Emory University14, University of Michigan15, Jewish Hospital16, Imperial College London17, Children's Hospital at Westmead18, Stony Brook University19, Heidelberg University20, University of Pittsburgh21, University of Sydney22, University of Virginia23, University of Texas MD Anderson Cancer Center24, Kaiser Permanente25, University of Edinburgh26, University of Nottingham27, University of North Carolina at Chapel Hill28, University of Washington29, University of California, Los Angeles30, Université libre de Bruxelles31, Queen's University32
TL;DR: This research presents a novel probabilistic approach that allows us to assess the importance of knowing the carrier and removal status of canine coronavirus, as a source of infection for other animals.
Abstract: Prediction models aim to use available data to predict a health state or outcome that has not yet been observed. Prediction is primarily relevant to clinical practice, but is also used in research, and administration. While prediction modeling involves estimating the relationship between patient factors and outcomes, it is distinct from casual inference. Prediction modeling thus requires unique considerations for development, validation, and updating. This document represents an effort from editors at 31 respiratory, sleep, and critical care medicine journals to consolidate contemporary best practices and recommendations related to prediction study design, conduct, and reporting. Herein, we address issues commonly encountered in submissions to our various journals. Key topics include considerations for selecting predictor variables, operationalizing variables, dealing with missing data, the importance of appropriate validation, model performance measures and their interpretation, and good reporting practices. Supplemental discussion covers emerging topics such as model fairness, competing risks, pitfalls of "modifiable risk factors", measurement error, and risk for bias. This guidance is not meant to be overly prescriptive; we acknowledge that every study is different, and no set of rules will fit all cases. Additional best practices can be found in the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) guidelines, to which we refer readers for further details.
172 citations
••
TL;DR: In this article, the authors present and discuss an inventory map of deep seated gravitational slope deformations (DSGSD) at the scale of the entire European Alps, in order to review existing knowledge and investigate general controls on these phenomena.
172 citations
Authors
Showing all 9226 results
Name | H-index | Papers | Citations |
---|---|---|---|
Carlo Rovelli | 146 | 1502 | 103550 |
Giuseppe Mancia | 145 | 1369 | 139692 |
Marco Bersanelli | 142 | 526 | 105135 |
Teruki Kamon | 142 | 2034 | 115633 |
Marco Colonna | 139 | 512 | 71166 |
M. I. Martínez | 134 | 1251 | 79885 |
A. Mennella | 132 | 463 | 93236 |
Roberto Salerno | 132 | 1197 | 83409 |
Federico Ferri | 132 | 1376 | 89337 |
Marco Paganoni | 132 | 1438 | 88482 |
Arabella Martelli | 131 | 1318 | 84029 |
Sandra Malvezzi | 129 | 1326 | 84401 |
Andrea Massironi | 129 | 1115 | 78457 |
Marco Pieri | 129 | 1285 | 82914 |
Cristina Riccardi | 129 | 1627 | 91452 |