55 research outputs found
Heavy rains triggering flash floods in urban environment: A case from Chiavari (Genoa metropolitan area, Italy)
Between 10th and 11th November, 2014, heavy rainfall over a short period fell on the eastern Genoa metropolitan area. The geohydrological event had important ground effects, among them the simultaneous flooding of Entella and Rupinaro streams, in Chiavari city. In lower Lavagna valley, the main tributary of the Entella, a landslide caused two casualties, while serious damage to buildings and infrastructures were registered in Chiavari\u2019s Old Town and in the nearby communities of Carasco and Cogorno. In the Entella basin, the rainfall peaked at 60 mm/hour and
accumulated 220 mm in six hours. The levels of the streams rose instantly, showing concentration times of less than an hour. The Entella rose seven meters, flooding Carasco, Cogorno, and the Caperana neighborhood of Chiavari. Flash flooding of the Rupinaro stream caused water to rise to 1.5 m in Chiavari\u2019s historic core. Analyses were carried out of the weather conditions and the ground effects of the events; in addition, studies were made of the main causes of the geo-hydrological risk. In particular, variations in climate and uncontrolled urban development were the cause
of increased geo-hydrological hazards and vulnerability of this area, historically subject to flooding. Such conditions of risk are unacceptable, and urgent measures are required to mitigate the effects of heavy rainfall events
Automatic Detection of Genetic Diseases in Pediatric Age Using Pupillometry
Inherited retinal diseases cause severe visual deficits in children. They are classified in outer and inner retina diseases, and often cause blindness in childhood. The diagnosis for this type of illness is challenging, given the wide range of clinical and genetic causes (with over 200 causative genes). It is routinely based on a complex pattern of clinical tests, including invasive ones, not always appropriate for infants or young children. A different approach is thus needed, that exploits Chromatic Pupillometry, a technique increasingly used to assess outer and inner retina functions. This paper presents a novel Clinical Decision Support System (CDSS), based on Machine Learning using Chromatic Pupillometry in order to support diagnosis of Inherited retinal diseases in pediatric subjects. An approach that combines hardware and software is proposed: a dedicated medical equipment (pupillometer) is used with a purposely designed custom machine learning decision support system. Two distinct Support Vector Machines (SVMs), one for each eye, classify the features extracted from the pupillometric data. The designed CDSS has been used for diagnosis of Retinitis Pigmentosa in pediatric subjects. The results, obtained by combining the two SVMs in an ensemble model, show satisfactory performance of the system, that achieved 0.846 accuracy, 0.937 sensitivity and 0.786 specificity. This is the first study that applies machine learning to pupillometric data in order to diagnose a genetic disease in pediatric age
Analysis of Corneal Deformation in Paediatric Patients Affected by Maturity Onset Diabetes of the Young Type 2
Abstract
Background: To evaluate corneal deformation in Maturity Onset Diabetes of the Young type 2 (MODY2), paediatric subjects were analysed using a Scheimpflug-based device. The purpose of this analysis was to find new biomarkers for MODY2 disease and to gain a better understanding of the pathogenesis of the disease. Methods: A total of 15 patients with genetic and metabolic diagnoses of MODY2 (mean age 12.8 ± 5.66 years) and 15 age-matched healthy subjects were included. The biochemical and anthropometric data of MODY2 patients were collected from clinical records, and a complete ophthalmic check with a Pentacam HR EM-3000 Specular Microscope and Corvis ST devices was performed in both groups. Results: Highest concavity (HC) deflection length, Applanation 1 (A1) deflection amplitude, and A1 deflection area showed significantly lower values in MODY2 patients compared to healthy subjects. A significant positive correlation was observed between Body Mass Index (BMI) and HC deflection area and between waist circumference (WC) and the following parameters: maximum deformation amplitude, HC deformation amplitude, and HC deflection area. The glycosylated hemoglobin level (HbA1c) showed a significant positive correlation with Applanation 2 time and HC time. Conclusions: The obtained results show, for the first time, differences regarding corneal distortion features in the MODY2 population compared with healthy eyes
Classification tree to analyze factors connected with post operative complications of cataract surgery in a teaching hospital
Background: Artificial intelligence (AI) is becoming ever more frequently applied in
medicine and, consequently, also in ophthalmology to improve both the quality of work for physicians
and the quality of care for patients. The aim of this study is to use AI, in particular classification tree,
for the evaluation of both ocular and systemic features involved in the onset of complications due
to cataract surgery in a teaching hospital. Methods: The charts of 1392 eyes of 1392 patients, with a
mean age of 71.3 8.2 years old, were reviewed to collect the ocular and systemic data before, during
and after cataract surgery, including post-operative complications. All these data were processed by
a classification tree algorithm, producing more than 260 million simulations, aiming to develop a
predictive model. Results: Postoperative complications were observed in 168 patients. According to
the AI analysis, the pre-operative characteristics involved in the insurgence of complications were:
ocular comorbidities, lower visual acuity, higher astigmatism and intra-operative complications.
Conclusions: Artificial intelligence application may be an interesting tool in the physician’s hands
to develop customized algorithms that can, in advance, define the post-operative complication risk.
This may help in improving both the quality and the outcomes of the surgery as well as in preventing
patient dissatisfaction
Multicenter Observational Retrospective Study on Febrile Events in Patients with Acute Myeloid Leukemia Treated with Cpx-351 in "Real-Life": The SEIFEM Experience
: In the present study, we aimed to evaluate the absolute risk of infection in the real-life setting of AML patients treated with CPX-351. The study included all patients with AML from 30 Italian hematology centers of the SEIFEM group who received CPX-351 from July 2018 to June 2021. There were 200 patients included. Overall, 336 CPX-351 courses were counted: all 200 patients received the first induction cycle, 18 patients (5%) received a second CPX-351 induction, while 86 patients (26%) proceeded with the first CPX-351 consolidation cycle, and 32 patients (10%) received a second CPX-351 consolidation. A total of 249 febrile events were recorded: 193 during the first or second induction, and 56 after the first or second consolidation. After the diagnostic work-up, 92 events (37%) were classified as febrile neutropenia of unknown origin (FUO), 118 (47%) were classifiable as microbiologically documented infections, and 39 (17%) were classifiable as clinically documented infections. The overall 30-day mortality rate was 14% (28/200). The attributable mortality-infection rate was 6% (15/249). A lack of response to the CPX-351 treatment was the only factor significantly associated with mortality in the multivariate analysis [p-value: 0.004, OR 0.05, 95% CI 0.01-0.39]. Our study confirms the good safety profile of CPX-351 in a real-life setting, with an incidence of infectious complications comparable to that of the pivotal studies; despite prolonged neutropenia, the incidence of fungal infections was low, as was infection-related mortality
Social contact patterns during the COVID-19 pandemic in 21 European countries - evidence from a two-year study
CoMix Europe Working Group: Daniela Paolotti, Michele Tizzani, Ciro Cattuto, Andrea Schmidt, Gerald Gredinger, Sophie Stumpfl, Joaquin Baruch, Tanya Melillo, Henrieta Hudeckova, Jana Zibolenova, Zuzana Chladna, Magdalena Rosinska, Marta Niedzwiedzka-Stadnik, Krista Fischer, Sigrid Vorobjov, Hanna Sõnajalg, Christian Althaus, Nicola Low, Martina Reichmuth, Kari Auranen, Markku Nurhonen, Goranka Petrović, Zvjezdana Lovric Makaric, Sónia Namorado, Constantino Caetano, Ana João Santos, Gergely Röst, Beatrix Oroszi, Márton Karsai, Mario Fafangel, Petra Klepac, Natalija Kranjec, Cristina Vilaplana, Jordi Casabona.Sónia Namorado, Constantino Caetano, and Ana João Santos (Department of
Epidemiology, National Institute of Health Dr Ricardo Jorge, Portugal).Background: Most countries have enacted some restrictions to reduce social contacts to slow down disease transmission during the COVID-19 pandemic. For nearly two years, individuals likely also adopted new behaviours to avoid pathogen exposure based on personal circumstances. We aimed to understand the way in which different factors affect social contacts - a critical step to improving future pandemic responses.
Methods: The analysis was based on repeated cross-sectional contact survey data collected in a standardized international study from 21 European countries between March 2020 and March 2022. We calculated the mean daily contacts reported using a clustered bootstrap by country and by settings (at home, at work, or in other settings). Where data were available, contact rates during the study period were compared with rates recorded prior to the pandemic. We fitted censored individual-level generalized additive mixed models to examine the effects of various factors on the number of social contacts.
Results: The survey recorded 463,336 observations from 96,456 participants. In all countries where comparison data were available, contact rates over the previous two years were substantially lower than those seen prior to the pandemic (approximately from over 10 to < 5), predominantly due to fewer contacts outside the home. Government restrictions imposed immediate effect on contacts, and these effects lingered after the restrictions were lifted. Across countries, the relationships between national policy, individual perceptions, or personal circumstances determining contacts varied.
Conclusions: Our study, coordinated at the regional level, provides important insights into the understanding of the factors associated with social contacts to support future infectious disease outbreak responses.The following funding sources are acknowledged as providing funding for the
named authors. HPRU in Modelling & Health Economics (NIHR200908: KLMW);
European Union Horizon 2020 research and innovation programme (EpiPose
101003688: AG, WJE); European Research Council under the European Union
Horizon 2020 research and innovation programme (TransMID 682540: CF, PB,
NH) This research was partly funded by the Global Challenges Research Fund
(GCRF) project RECAP managed through RCUK and ESRC (ES/P010873/1: CIJ)
NIHR (PR_OD_1017_20002: WJE) UK MRC (MC_PC_19065—Covid 19: Under standing the dynamics and drivers of the COVID-19 epidemic using real-time
outbreak analytics: WJE).
In Belgium, CoMix data collection in Belgium was made possible with fnancial
support of Janssen Pharmaceuticals and the national public health institute of
Belgium, Sciensano.
In Germany, the COVIMOD project is funded by intramural funds of the
Institute of Epidemiology and Social Medicine, University of Münster, and of
the Institute of Medical Epidemiology, Biometry and Informatics, Martin Luther
University Halle-Wittenberg, as well as by funds provided by the Robert Koch
Institute, Berlin, the Helmholtz-Gemeinschaft Deutscher Forschungszentren
e.V. via the HZEpiAdHoc "The Helmholtz Epidemiologic Response against the
COVID-19 Pandemic" project, the Saxonian COVID-19 Research Consortium
SaxoCOV (co-fnanced with tax funds on the basis of the budget passed by
the Saxon state parliament), the Federal Ministry of Education and Research
(BMBF) as part of the Network University Medicine (NUM) via the egePan
Unimed project (funding code: 01KX2021) and the Deutsche Forschungsge meinschaft (DFG, German Research Foundation, project number 458526380)info:eu-repo/semantics/publishedVersio
Il ruolo del trattamento termico a basse temperature e delle proteasi esogene sulla tenerezza della carne
La qualità della carne dipende da diversi fattori correlati tra loro, tra questi, la tenerezza è considerata il più importante attributo di qualità in quanto influenza notevolmente il processo di acquisto del consumatore. La tenerezza della carne si basa essenzialmente sulle caratteristiche del tessuto connettivo e della struttura miofibrillare, dovute alle modificazioni biochimiche che si verificano nel muscolo post mortem. Diverse sono le tecniche impiegate allo scopo di migliorare la tenerezza della carne, la cottura è una di queste, ovvero un procedimento che modifica la consistenza, il colore, il sapore e l’aroma della carne. Numerosi sono i fattori che influiscono sulla cottura facendo sì che essa aumenti o diminuisca la tenerezza della carne, quali il tempo di riscaldamento, la temperatura e il muscolo considerato. La tecnica che meglio permette di ottenere una carne tenera e succulenta è il trattamento termico LTLT, che consiste nel riscaldare la carne ad una temperatura relativamente bassa (60°C) applicando tempi di riscaldamento prolungati. La cottura effettuata in questo modo è nota da tempo per produrre carni di alta qualità sensoriale, costantemente tenere e succose, che hanno guadagnato sempre più popolarità nei ristoranti, nelle cucine centralizzate e nelle attività di catering. Il miglioramento della tenerezza mediante l’applicazione di proteasi esogene è, invece, un metodo enzimatico che prevede l’iniezione, l’infusione o la marinatura della carne con soluzioni contenenti enzimi di origine vegetale, microbica o fungina. Le proteasi vegetali (papaina, bromelina, ficina) sono
quelle maggiormente studiate e utilizzate a tale scopo in quanto mostrano un ampio spettro d’azione scomponendo indistintamente il tessuto connettivo e le proteine miofibrillari a differenza di quelle microbiche che sono invece caratterizzate da una minore attività proteolitica, motivo per il quale vengono impiegate in combinazione con le proteasi vegetali
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