Risk factors for canine infectious respiratory disease complex and the pathogens associated with the disease.

Background: Canine infectious respiratory disease complex (CIRDC) is a common respiratory condition typically associated with high-density populations.

Objectives: The objectives of this study were to determine the most common pathogens involved in CIRDC and to identify risk factors (pathogens, environmental exposures) associated with the diagnosis.

Animals And Procedure: A prospective, multi-clinic, case-control study was conducted in Canada from April 2017 to May 2018.

Urinary Cystatin B as a marker of acute kidney injury in cats.

Diagnosing acute kidney injury (AKI) might be challenging due to lack of sensitive early markers. The objective of this study was to evaluate the diagnostic and prognostic utility of the urinary biomarker Cystatin B (uCysB) in cats with AKI. Seventy-six client-owned cats were included.

Differentiation of stable kidney function versus progressive dysfunction in dogs.

Background: Circulating creatinine and symmetric dimethylarginine (SDMA) are biomarkers of kidney function that have been used variously to define stable vs progressive chronic kidney disease (CKD). Slope monitoring of inverse biomarker values (creatinine or SDMA ) has shown promise, but quantitative criteria to distinguish stable vs progressive CKD using this approach are lacking.

Objective: Assessment of creatinine and SDMA slope cutoffs to distinguish stable vs progressive CKD.

Urinary cystatin B differentiates progressive versus stable IRIS Stage 1 chronic kidney disease in dogs.

Background: Early identification of dogs with progressive vs stable chronic kidney disease (CKD) might afford opportunity for interventions that would slow progression. However, currently no surrogate biomarker reliably predicts CKD progression.

Hypothesis/objectives: Urinary cystatin B (uCysB), a novel kidney injury biomarker, predicts progressive disease in International Renal Interest Society (IRIS) CKD Stage 1.

Day-1 Competencies for Veterinarians Specific to Health Informatics.

In 2015, the American Association of Veterinary Medical Colleges (AAVMC) developed the Competency-Based Veterinary Education (CBVE) framework to prepare practice-ready veterinarians through competency-based education, which is an outcomes-based approach to equipping students with the skills, knowledge, attitudes, values, and abilities to do their jobs. With increasing use of health informatics (HI: the use of information technology to deliver healthcare) by veterinarians, competencies in HI need to be developed. To reach consensus on a HI competency framework in this study, the Competency Framework Development (CFD) process was conducted using an online adaptation of Developing-A-Curriculum, an established methodology in veterinary medicine for reaching consensus among experts.

A scoping review of 'big data', 'informatics', and 'bioinformatics' in the animal health and veterinary medical literature.

Research in big data, informatics, and bioinformatics has grown dramatically (Andreu-Perez J, et al., 2015, IEEE Journal of Biomedical and Health Informatics 19, 1193-1208). Advances in gene sequencing technologies, surveillance systems, and electronic medical records have increased the amount of health data available.