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Institution

University of Siena

EducationSiena, Italy
About: University of Siena is a education organization based out in Siena, Italy. It is known for research contribution in the topics: Population & Cancer. The organization has 12179 authors who have published 33334 publications receiving 1008287 citations. The organization is also known as: Università degli studi di Siena & Universita degli studi di Siena.


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Journal ArticleDOI
TL;DR: To characterize seizures after intracerebral hemorrhage (ICH), evaluating the risk of occurrence and relapse, predisposing factors, and prognostic significance, and to assess the utility of antiepileptic drug therapy as used in clinical practice.
Abstract: Summary: Purpose: To characterize seizures after intracerebral hemorrhage (ICH), evaluating the risk of occurrence and relapse, predisposing factors, and prognostic significance, and to assess the utility of antiepileptic drug (AED) therapy as used in clinical practice. Methods: The study sample consisted of 761 patients with spontaneous, nonaneurysmal, supratentorial ICH. Seizures were classified as immediate (within 24 h of ICH) and early (within 30 days of ICH). Baseline variables and clinical events were compared in the seizure and nonseizure group by using a multivariate regression model of failure time data. Results: Fifty-seven patients had one or more seizures. The 30-day actuarial risk of a post-ICH seizure was 8.1%. Lobar location and small volume of ICH were independent predictors of immediate seizures. Early seizures were associated with lobar location and neurologic complications, mainly rebleeding. In patients with lobar ICH, the risk of early seizures was reduced by prophylactic AED therapy. Among seizure patients, history of alcohol abuse increased the risk of status epilepticus. Immediate and early seizures were not independent predictors of in-hospital mortality. Conclusions: Patients with ICH are exposed to a substantial risk of seizures; however, short-term mortality was not affected, and the risk of epilepsy was lower than previously thought. The likelihood of immediate seizures is influenced by factors that are inherent characteristics of ICH, whereas the chance of developing early seizures is influenced not only by certain characteristics of ICH, but also by unpredictable events. A brief period of therapy soon after ICH onset may reduce the risk of early seizures in patients with lobar hemorrhage. Key Words: Intracerebral hemorrhage—Stroke—Seizures—Status epilepticus—Epilepsy. Seizures as a clinical feature of intracerebral hemorrhage (ICH) have not been fully investigated. Little is known about the frequency, temporal distribution, and characteristics of seizures, and even less about factors predisposing to seizures and their prognostic significance for short-term mortality and risk of epilepsy. Major aspects have often been ignored, including the fact that delayed post-ICH seizures may have different predisposing factors from onset seizures, that the number of patients at risk for seizure varies in time, and that many predisposing factors may act synergistically in time to cause seizures. In this study the occurrence of seizures in patients with computed tomography (CT)-proven supratentorial nontraumatic nonaneurysmal ICH was analyzed by using multivariate analyses to determine the risk of developing initial and recurrent seizures, to identify predisposing factors for onset and delayed seizures, to evaluate the impact of seizures on outcome, and to assess the value of prophylactic antiepileptic drug (AED) therapy as used in clinical practice.

231 citations

Journal ArticleDOI
TL;DR: The prevalence of B-RAF (V600E) is reported in the largest series of sporadic PTCs, including 260 cases from three different Italian referring centers, indicating that the prevalence of this genetic event lies around 38-40%.
Abstract: Recently, a somatic point mutation of the B-RAF gene (V600E) has been identified as the most common genetic event in papillary thyroid carcinoma (PTC), with a prevalence variable among different series. Since discordant data on the clinico-pathologic features of B-RAF mutated PTC are present in the literature, the aim of the present co-operative study was to establish the prevalence of this genetic alteration and to perform a genotype-phenotype correlation in a large cohort of patients with PTC. To this purpose, a series of 260 sporadic PTCs with different histological variants were included in the study. The mutational analysis of the B-RAF gene was performed either by RT-PCR followed by single-stranded conformational polymorphism or by PCR and direct sequencing. Statistical analyses were obtained by means of chi2/Fisher's exact test and t-test. Overall, a heterozygous T > A transversion at nucleotide 1799 (V600E) was found in 99 out of 260 PTCs (38%). According to the histological type of the tumor, the B-RAF (V600E) mutation was present in 48.3% of cases of classic PTCs (85 out of 176), in 17.6% (nine out of 51) of follicular variants of PTCs, in 21.7% (five out of 23) in other PTC variants and in none of the ten poorly differentiated tumors. B-RAF (V600E) was significantly associated with the classic variant of PTC (P = 0.0001) and with an older age at diagnosis (P = 0.01). No statistically significant correlation was found among the presence of B-RAF (V600E) and gender, tumor node metastasis (TNM), multicentricity of the tumor, stage at diagnosis and outcome. In conclusion, the present study reports the prevalence of B-RAF (V600E) (38%) in the largest series of sporadic PTCs, including 260 cases from three different Italian referring centers. This prevalence is similar to that calculated by pooling together all data previously reported, 39.6% (759 out of 1914 cases), thus indicating that the prevalence of this genetic event lies around 38-40%. Furthermore, B-RAF (V600E) was confirmed to be associated with the papillary growth pattern, but not with poorer differentiated PTC variants. A significant association of B-RAF mutation was also found with an older age at diagnosis, the mutation being very rare in childhood and adolescent PTCs. Finally, no correlation was found with a poorer prognosis and a worse outcome after a median follow-up of 72 months.

231 citations

Journal ArticleDOI
TL;DR: Findings indicate that CTX-M enzymes of various types are present also in Italy and underscore that different CTx-M determinants can be found in a single hospital and can show different dissemination patterns.
Abstract: Twelve isolates of Enterobacteriaceae (1 of Klebsiella pneumoniae, 8 of Escherichia coli, 1 of Proteus mirabilis, and 2 of Proteus vulgaris) classified as extended-spectrum beta-lactamase (ESBL) producers according to the ESBL screen flow application of the BD-Phoenix automatic system and for which the cefotaxime MICs were higher than those of ceftazidime were collected between January 2001 and July 2002 at the Laboratory of Clinical Microbiology of the San Matteo University Hospital of Pavia (northern Italy). By PCR and sequencing, a CTX-M-type determinant was detected in six isolates, including three of E. coli (carrying bla(CTX-M-1)), two of P. vulgaris (carrying bla(CTX-M-2)), and one of K. pneumoniae (carrying bla(CTX-M-15)). The three CTX-M-1-producing E. coli isolates were from different wards, and genotyping by pulsed-field gel electrophoresis (PFGE) revealed that they were clonally unrelated to each other. The two CTX-M-2-producing P. vulgaris isolates were from the same ward (although isolated several months apart), and PFGE analysis revealed probable clonal relatedness. The bla(CTX-M-1) and bla(CTX-M-2) determinants were transferable to E. coli by conjugation, while conjugative transfer of the bla(CTX-M-15) determinant from K. pneumoniae was not detectable. Present findings indicate that CTX-M enzymes of various types are present also in Italy and underscore that different CTX-M determinants can be found in a single hospital and can show different dissemination patterns. This is also the first report of CTX-M-2 in P. vulgaris.

231 citations

Journal ArticleDOI
TL;DR: In this article, the authors comment on the nature and extent of the adoption of accrual accounting throughout the public sector of economies internationally, by focusing on two facets of this reform.
Abstract: In this brief foreword, we comment on the nature and extent of the adoption of accrual accounting throughout the public sector of economies internationally, by focusing on two facets of this reform...

231 citations

Journal ArticleDOI
01 Jun 2018-Brain
TL;DR: A data-driven computational model is used to predict the order in which regions atrophy in multiple sclerosis, and use this sequence to stage patients.
Abstract: See Stankoff and Louapre (doi:10.1093/brain/awy114) for a scientific commentary on this article.Grey matter atrophy is present from the earliest stages of multiple sclerosis, but its temporal ordering is poorly understood. We aimed to determine the sequence in which grey matter regions become atrophic in multiple sclerosis and its association with disability accumulation. In this longitudinal study, we included 1417 subjects: 253 with clinically isolated syndrome, 708 with relapsing-remitting multiple sclerosis, 128 with secondary-progressive multiple sclerosis, 125 with primary-progressive multiple sclerosis, and 203 healthy control subjects from seven European centres. Subjects underwent repeated MRI (total number of scans 3604); the mean follow-up for patients was 2.41 years (standard deviation = 1.97). Disability was scored using the Expanded Disability Status Scale. We calculated the volume of brain grey matter regions and brainstem using an unbiased within-subject template and used an established data-driven event-based model to determine the sequence of occurrence of atrophy and its uncertainty. We assigned each subject to a specific event-based model stage, based on the number of their atrophic regions. Linear mixed-effects models were used to explore associations between the rate of increase in event-based model stages, and T2 lesion load, disease-modifying treatments, comorbidity, disease duration and disability accumulation. The first regions to become atrophic in patients with clinically isolated syndrome and relapse-onset multiple sclerosis were the posterior cingulate cortex and precuneus, followed by the middle cingulate cortex, brainstem and thalamus. A similar sequence of atrophy was detected in primary-progressive multiple sclerosis with the involvement of the thalamus, cuneus, precuneus, and pallidum, followed by the brainstem and posterior cingulate cortex. The cerebellum, caudate and putamen showed early atrophy in relapse-onset multiple sclerosis and late atrophy in primary-progressive multiple sclerosis. Patients with secondary-progressive multiple sclerosis showed the highest event-based model stage (the highest number of atrophic regions, P < 0.001) at the study entry. All multiple sclerosis phenotypes, but clinically isolated syndrome, showed a faster rate of increase in the event-based model stage than healthy controls. T2 lesion load and disease duration in all patients were associated with increased event-based model stage, but no effects of disease-modifying treatments and comorbidity on event-based model stage were observed. The annualized rate of event-based model stage was associated with the disability accumulation in relapsing-remitting multiple sclerosis, independent of disease duration (P < 0.0001). The data-driven staging of atrophy progression in a large multiple sclerosis sample demonstrates that grey matter atrophy spreads to involve more regions over time. The sequence in which regions become atrophic is reasonably consistent across multiple sclerosis phenotypes. The spread of atrophy was associated with disease duration and with disability accumulation over time in relapsing-remitting multiple sclerosis.

231 citations


Authors

Showing all 12352 results

NameH-indexPapersCitations
Johan Auwerx15865395779
I. V. Gorelov1391916103133
Roberto Tenchini133139094541
Francesco Fabozzi133156193364
M. Davier1321449107642
Roberto Dell'Orso132141292792
Rino Rappuoli13281664660
Teimuraz Lomtadze12989380314
Manas Maity129130987465
Dezso Horvath128128388111
Paolo Azzurri126105881651
Vincenzo Di Marzo12665960240
Igor Katkov12597271845
Ying Lu12370862645
Thomas Schwarz12370154560
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202391
2022221
20211,870
20201,979
20191,639
20181,523