Validation of a Clinical Scoring System for Outcome Prediction in Dogs with Acute Kidney Injury Managed by Hemodialysis.

BackgroundA scoring system for outcome prediction in dogs with acute kidney injury (AKI) recently has been developed but has not been validated.HypothesisThe scoring system previously developed for outcome prediction will accurately predict outcome in a validation cohort of dogs with AKI managed with hemodialysis.AnimalsOne hundred fifteen client-owned dogs with AKI.MethodsMedical records of dogs with AKI treated by hemodialysis between 2011 and 2015 were reviewed. Dogs were included only if all variables required to calculate the final predictive score were available, and the 30-day outcome was known. A predictive score for 3 models was calculated for each dog. Logistic regression was used to evaluate the association of the final predictive score with each model's outcome. Receiver operating curve (ROC) analyses were performed to determine sensitivity and specificity for each model based on previously established cut-off values.ResultsHigher scores for each model were associated with decreased survival probability (P < .001). Based on previously established cut-off values, 3 models (models A, B, C) were associated with sensitivities/specificities of 73/75%, 71/80%, and 75/86%, respectively, and correctly classified 74-80% of the dogs.Conclusions and clinical relevanceAll models were simple to apply and allowed outcome prediction that closely corresponded with actual outcome in an independent cohort. As expected, accuracies were slightly lower compared with those from the previously reported cohort used initially to develop the models

Differential expression of skeletal muscle genes following administration of clenbuterol to exercised horses.

BackgroundClenbuterol, a beta2-adrenergic receptor agonist, is used therapeutically to treat respiratory conditions in the horse. However, by virtue of its mechanism of action it has been suggested that clenbuterol may also have repartitioning affects in horses and as such the potential to affect performance. Clenbuterol decreases the percent fat and increases fat-free mass following high dose administration in combination with intense exercise in horses. In the current study, microarray analysis and real-time PCR were used to study the temporal effects of low and high dose chronic clenbuterol administration on differential gene expression of several skeletal muscle myosin heavy chains, genes involved in lipid metabolism and the β2-adrenergic receptor. The effect of clenbuterol administration on differential gene expression has not been previously reported in the horse, therefore the primary objective of the current study was to describe clenbuterol-induced temporal changes in gene expression following chronic oral administration of clenbuterol at both high and low doses.ResultsSteady state clenbuterol concentrations were achieved at approximately 50 h post administration of the first dose for the low dose regimen and at approximately 18-19 days (10 days post administration of 3.2 μg/kg) for the escalating dosing regimen. Following chronic administration of the low dose (0.8 μg/kg BID) of clenbuterol, a total of 114 genes were differentially expressed, however, none of these changes were found to be significant following FDR adjustment of the p-values. A total of 7,093 genes were differentially expressed with 3,623 genes up regulated and 3,470 genes down regulated following chronic high dose administration. Of the genes selected for further study by real-time PCR, down-regulation of genes encoding myosin heavy chains 2 and 7, steroyl CoA desaturase and the β2-adrenergic receptor were noted. For most genes, expression levels returned towards baseline levels following cessation of drug administration.ConclusionThis study showed no evidence of modified gene expression following chronic low dose administration of clenbuterol to horses. However, following chronic administration of high doses of clenbuterol alterations were noted in transcripts encoding various myosin heavy chains, lipid metabolizing enzymes and the β2-adrenergic receptor

The new radiation-hard optical links for the ATLAS pixel detector

The ATLAS detector is currently being upgraded with a new layer of pixel based charged particle tracking and a new arrangement of the services for the pixel detector. These upgrades require the replacement of the opto-boards previously used by the pixel detector. In this report we give details on the design and production of the new opto-boards.Comment: Presentation at the DPF 2013 Meeting of the American Physical Society Division of Particles and Fields, Santa Cruz, California, August 13-17, 201

Understanding Occupational and Skill Demand in New Jersey's Finance Industry

The finance industry in New Jersey employs over 200,000 people. Many more workers benefit from the state's proximity to the finance industry in New York City. Jobs in the industry are evolving rapidly in response to national and global trends, such as deregulation, increasingly complex laws, and new technologies. As jobs change, skill requirements for both entry-level and incumbent workers increase. This report summarizes the skill, knowledge, and educational requirements of key finance occupations and identifies strategies for meeting the workforce challenges facing the industry

Ready for Tomorrow: Demand-Side Emerging Skills for the 21st Century

As part of the Ready for the Job demand-side skill assessment, the Heldrich Center explored emerging work skills that will affect New Jersey's workforce in the next three to five years. The Heldrich Center identified five specific areas likely to generate new skill demands: biotechnology, security, e-learning, e-commerce, and food/agribusiness. This report explores the study's findings and offers recommendations for improving education and training in New Jersey

Understanding Occupational and Skill Demand in New Jersey's Construction Industry

The construction industry is integral to New Jersey's economy, employing over 160,000 people. Nationally and in New Jersey, the construction industry is thriving, injecting billions of dollars into the state. Jobs in the industry are changing with an influx of new technology and new building materials, requiring that workers have more technical expertise than in the past. This report summarizes the skill, knowledge, and educational requirements of key construction occupations and identifies strategies for meeting the key workforce challenges facing the industry

Understanding Occupational and Skill Demand in New Jersey's Health Care Industry

The health care industry in New Jersey employs almost 350,000 people. However, state, national, and international shortages of nurses is raising widespread concern in the industry. Jobs in the industry are changing in response to pressures to control costs and the demands of an increasingly consolidated industry. This report summarizes the skill, knowledge, and educational requirements of key health care occupations and identifies strategies for meeting the workforce challenges facing the industry

Understanding Occupational and Skill Demand in New Jersey's Utilities Industry

The utilities industry provides essential electricity, gas, water and sewer, and local telephone services to residents and businesses throughout New Jersey. This report summarizes the skill, knowledge, and educational requirements of key occupations in gas, electric, water and sewer, and telephone services. It also identifies strategies for meeting the workforce challenges facing the industry