Electronic identification in rabbits: two body sites of injectable transponder

AbstractIdentification and monitoring of farm animals are effective tools for traceability. Actual livestock identification systems (ear-tags, tattoos, etc.) are not completely efficient and offer some inconveniences. The use of injectable transponders might be a reliable method for individual identification, allowing the improvement of the data recording and the farm management. The aim of this experiment was to evaluate the applicability of injectable transponder in live rabbits. A total of 40 fattening rabbits of 55 days old were injected with 23 mm passive FDX-B transponders (Datamars, Switzerland), preloaded into a needle in a sterilised packaged and applied by using a transponder injector (Planet ID, Germany). Two body locations for transponder's injection were studied: laterally to the neck (n=20) and armpit (n=20). Readings of the transponders were performed using portable ISO transceiver, before injection, after injection, the day after, after one week, after one month, before the slaughtering pr..

Association of kidney disease measures with risk of renal function worsening in patients with type 1 diabetes

Background: Albuminuria has been classically considered a marker of kidney damage progression in diabetic patients and it is routinely assessed to monitor kidney function. However, the role of a mild GFR reduction on the development of stage 653 CKD has been less explored in type 1 diabetes mellitus (T1DM) patients. Aim of the present study was to evaluate the prognostic role of kidney disease measures, namely albuminuria and reduced GFR, on the development of stage 653 CKD in a large cohort of patients affected by T1DM. Methods: A total of 4284 patients affected by T1DM followed-up at 76 diabetes centers participating to the Italian Association of Clinical Diabetologists (Associazione Medici Diabetologi, AMD) initiative constitutes the study population. Urinary albumin excretion (ACR) and estimated GFR (eGFR) were retrieved and analyzed. The incidence of stage 653 CKD (eGFR < 60 mL/min/1.73 m2) or eGFR reduction > 30% from baseline was evaluated. Results: The mean estimated GFR was 98 \ub1 17 mL/min/1.73m2 and the proportion of patients with albuminuria was 15.3% (n = 654) at baseline. About 8% (n = 337) of patients developed one of the two renal endpoints during the 4-year follow-up period. Age, albuminuria (micro or macro) and baseline eGFR < 90 ml/min/m2 were independent risk factors for stage 653 CKD and renal function worsening. When compared to patients with eGFR > 90 ml/min/1.73m2 and normoalbuminuria, those with albuminuria at baseline had a 1.69 greater risk of reaching stage 3 CKD, while patients with mild eGFR reduction (i.e. eGFR between 90 and 60 mL/min/1.73 m2) show a 3.81 greater risk that rose to 8.24 for those patients with albuminuria and mild eGFR reduction at baseline. Conclusions: Albuminuria and eGFR reduction represent independent risk factors for incident stage 653 CKD in T1DM patients. The simultaneous occurrence of reduced eGFR and albuminuria have a synergistic effect on renal function worsening

Citizens’ Perception of Geohazards in Veneto Region (NE Italy) in the Context of Climate Change

Climate-related geohazards, such as landslides, floods, and coastal erosion due to climate change, are increasingly impacting human settlements and activities. This study, part of the European Project RESPONSe (Interreg Italy–Croatia), investigates the perception of climate change as a catalyst of future geohazards among the citizens of the Veneto region (northeastern Italy). A total of 1233 questionnaires were completed by adult citizens and analyzed by means of inferential statistics. The results highlight a widespread perception of climate change as a general threat for the environment, but not directly transposed to the frequency and intensity of future geohazards. Certainly, changes in temperatures and rainfall are widely expected and acknowledged, yet the comprehension related to the hydrogeological effects seems to vary proportionally to the physical proximity to these hazards. Such outcomes underline that there is still a common lack of understanding of the eventual local impact of the climate crisis. For these reasons, it is suggested that decision makers consider directing their efforts to enhance the citizens’ knowledge base in order to build a climate-resilient society

Diagnosis of clinically significant prostate cancer after negative multiparametric magnetic resonance imaging

Introduction The diagnostic pathway after a negative magnetic resonance imaging (nMRI) exam is not clearly defined. The aim of the present study is to define the risk of prostate adenocarcinoma (PCa) at the prostate biopsy after a negative multiparametric magnetic resonance imaging (mpMRI) exam.Material and methods Patients with nMRI Prostate Imaging Reporting & Data System (PI-RADS) =2 and without a previous diagnosis of PCa were identified among all patients undergoing mpMRI in a single referral center between 01/2016-12/2019. Detailed data about prostate biopsy after nMRI were collected, including any PCa diagnosis and clinically significant PCa diagnosis. [Gleason score (GS) =7]. In addition to descriptive statistics, uni and multivariable logistic regression assessed the potential predictors of any PCa and clinically significant prostate cancer (csPCa) at the biopsy after a negative mpMRI.Results Of 410 patients with nMRI, 73 underwent saturation biopsy. Only prostate-specific antigen (PSA) levels were significantly higher in patients undergoing biopsy (5.2 ng/ml vs 6.4, p <0.001), while Prostate Cancer Research Foundation (SWOP - Stichting Wetenschappelijk Onderzoek Prostaatkanker) risk score and other variables did not differ. A total of 22 biopsies (30.1%) were positive for PCa, GS 6 was diagnosed in 14 patients, GS 7 in 3, GS 8 in 1 and GS 9-10 in 4. csPCa was found in 8 (11%) patients. No significant predictors of any PCa or csPCa were identified at multivariate regression analysis.Conclusions Despite the good negative predictive value of mpMRI in the diagnosis of prostate cancer, 11% of the patients had csPCa. Specific predictive models addressing this setting would be useful

A big data platform exploiting auditable tokenization to promote good practices inside local energy communities

The Energy Community Platform (ECP) is a modular system conceived to promote a conscious use of energy by the users inside local energy communities. It is composed of two integrated subsystems: the Energy Community Data Platform (ECDP), a middleware platform designed to support the collection and the analysis of big data about the energy consumption inside local energy communities, and the Energy Community Tokenization Platform (ECTP), which focuses on tokenizing processed source data to enable incentives through smart contracts hosted on a decentralized infrastructure possibly governed by multiple authorities. We illustrate the overall design of our system, conceived considering some real-world projects (dealing with different types of local energy community, different amounts and nature of incoming data, and different types of users), analyzing in detail the key aspects of the two subsystems. In particular, the ECDP acquires data of a different nature in a heterogeneous format from multiple sources and supports a data integration workflow and a data lake workflow, designed for different uses of the data. We motivate our technological choices and present the alternatives taken into account, both in terms of software and of architectural design. On the other hand, the ECTP operates a tokenization process via smart contracts to promote good behaviors of users within the local energy community. The peculiarity of this platform is to allow external parties to audit the correct behavior of the whole tokenization process while protecting the confidentiality of the data and the performance of the platform. The main strengths of the presented system are flexibility and scalability (guaranteed by its modular architecture), which allow its applicability to any type of local energy community

Role of targeted biopsy, perilesional biopsy, and random biopsy in prostate cancer diagnosis by mpMRI/transrectal ultrasonography fusion biopsy

PurposeIt is still not clear the role of perilesional biopsy (PL) and the extension of the random biopsy (RB) scheme to be adopted during mpMRI-guided ultrasound fusion biopsy (FB). To evaluate the increase in diagnostic accuracy achieved by PL and different RB schemes over target biopsy (TB).MethodsWe collected prospectively 168 biopsy-naive patients with positive mpMRI receiving FB and concurrent 24-core RB. The diagnostic yields of the different possible biopsy schemes (TB only; TB + 4 PL cores; TB + 12-core RB; TB + 24-core RB) were compared by the McNemar test. Clinically significant (CS) prostate cancer (PCA) was defined according to the definition of the PROMIS trial. Regression analyses were used to identify independent predictors of the presence of any cancer, csPCA.ResultsThe detection rate of CS cancers increased to 35%, 45%, and 49% by adding 4 PL cores, 12, and 24 RB cores, respectively (all p < 0.02). Notably, the largest scheme including 3 TB and 24 RB cores identified a small but statistically significant 4% increase in detection rate of CS cancer, as compared with the second largest scheme. TB alone identified only 62% of the CS cancers. Such figure increased to 72% by adding 4 PL cores, and to 91% by adding 14 RB cores.ConclusionsWe found that PL biopsy increased the detection rate of CS cancers as compared with TB alone. However, the combination of those cores missed about 30% of the CS cancers identified with larger RB cores, notably including a considerable 15% of cases located contralaterally to the index tumor

Risk factors and action thresholds for the novel coronavirus pandemic. Insights from the Italian Society of Nephrology COVID-19 Survey

Over 80% (365/454) of the nation's centers participated in the Italian Society of Nephrology COVID-19 Survey. Out of 60,441 surveyed patients, 1368 were infected as of April 23rd, 2020. However, center-specific proportions showed substantial heterogeneity. We therefore undertook new analyses to identify explanatory factors, contextual effects, and decision rules for infection containment