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Abstract Background Differentiation of gastrointestinal cancer (GIC) from chronic inflammatory enteropathies (CIE) in cats can be challenging and often requires extensive diagnostic testing. MicroRNAs (miRNAs) have promise as non‐invasive biomarkers in serum and feces for diagnosis of GIC. Hypothesis/Objectives Cats with GIC will have serum and fecal miRNA profiles that differ significantly from healthy cats and cats with CIE. Identify serum and fecal miRNAs with diagnostic potential for differentiation between cats with GIC and CIE as compared to healthy cats. Animals Ten healthy cats, 9 cats with CIE, and 10 cats with GIC; all client‐owned. Methods Cats were recruited for an international multicenter observational prospective case‐control study. Serum and feces were screened using small RNA sequencing for miRNAs that differed in abundance between cats with GIC and CIE, and healthy cats. Diagnostic biomarker potential of relevant miRNAs from small RNA sequencing and the literature was confirmed using reverse transcription quantitative real‐time PCR (RT‐qPCR). Results Serum miR‐223‐3p was found to distinguish between cats with GIC and CIE with an area under the curve (AUC) of 0.9 (95% confidence interval [CI], 0.760‐1.0), sensitivity of 90% (95% CI, 59.6‐99.5%), and specificity of 77.8% (95% CI, 45.3‐96.1%). Serum miR‐223‐3p likewise showed promise in differentiating a subgroup of cats with small cell lymphoma (SCL) from those with CIE. No fecal miRNAs could distinguish between cats with GIC and CIE. Conclusion and Clinical Importance Serum miR‐223‐3p potentially may serve as a noninvasive diagnostic biomarker of GIC in cats, in addition to providing a much needed tool for the differentiation of CIE and SCL.

Abstract Background Reliable biomarkers to differentiate gastrointestinal cancer (GIC) from chronic inflammatory enteropathy (CIE) in dogs are needed. Fecal and serum microRNAs (miRNAs) have been proposed as diagnostic and prognostic markers of GI disease in humans and dogs. Hypothesis/Objectives Dogs with GIC have fecal and serum miRNA profiles that differ from those of dogs with CIE. Aims: (a) identify miRNAs that differentiate GIC from CIE, (b) use high‐throughput reverse transcription quantitative real‐time PCR (RT‐qPCR) to establish fecal and serum miRNA panels to distinguish GIC from CIE in dogs. Animals Twenty‐four dogs with GIC, 10 dogs with CIE, and 10 healthy dogs, all client‐owned. Methods An international multicenter observational prospective case‐control study. Small RNA sequencing was used to identify fecal and serum miRNAs, and RT‐qPCR was used to establish fecal and serum miRNA panels with the potential to distinguish GIC from CIE. Results The best diagnostic performance for distinguishing GIC from CIE was fecal miR‐451 (AUC: 0.955, sensitivity: 86.4%, specificity: 100%), miR‐223 (AUC: 0.918, sensitivity: 90.9%, specificity: 80%), and miR‐27a (AUC: 0.868, sensitivity: 81.8%, specificity: 90%) and serum miR‐20b (AUC: 0.905, sensitivity: 90.5%, specificity: 90%), miR‐148a‐3p (AUC: 0.924, sensitivity: 85.7%, specificity: 90%), and miR‐652 (AUC: 0.943, sensitivity: 90.5%, specificity: 90%). Slightly improved diagnostic performance was achieved when combining fecal miR‐451 and miR‐223 (AUC: 0.973, sensitivity: 95.5%, specificity: 90%). Conclusions and Clinical Importance When used as part of a diagnostic RT‐qPCR panel, the abovementioned miRNAs have the potential to function as noninvasive biomarkers for the differentiation of GIC and CIE in dogs.

Abstract Background Few studies have investigated management and outcome in dogs with acute hemorrhagic diarrhea syndrome (AHDS), and there is a paucity of data on dogs with concurrent signs of sepsis. Objectives To report outcome in dogs with suspected AHDS according to disease severity and antimicrobial treatment, and to evaluate effect of fluid resuscitation on clinical criteria. Animals Two hundred thirty‐seven dogs hospitalized with suspected AHDS. Methods Retrospective study based on medical records. Disease severity was evaluated using AHDS index, systemic inflammatory response syndrome (SIRS) criteria, and serum C‐reactive protein (CRP) according to 3 treatment groups: No, 1, or 2 antimicrobials. Results Sixty‐two percent received no antimicrobials, 31% received 1 antimicrobial, predominantly aminopenicillins, and 7% received 2 antimicrobials. At admission, median AHDS index was 13 (interquartile range, 11‐15), which decreased significantly after the first day's hospitalization (P

The emergence of pathogens resistant to antimicrobials has prompted political initiatives targeting a reduction in the use of veterinary antimicrobials in Denmark, especially for pigs. This study elucidates the tendency of pig farms with a significantly higher antimicrobial use to remain in clusters in certain geographical regions of Denmark. Animal Daily Doses/100 pigs/day were calculated for all three age groups of pigs (weaners, finishers and sows) for each quarter during 2012-13 in 6,143 commercial indoor pig producing farms. The data were split into four time periods of six months. Repeated spatial cluster analyses were performed to identify persistent clusters, i.e. areas included in a significant cluster throughout all four time periods. Antimicrobials prescribed for weaners did not result in any persistent clusters. In contrast, antimicrobial use in finishers clustered persistently in two areas (157 farms), while those issued for sows clustered in one area (51 farms). A multivariate analysis including data on antimicrobial use for weaners, finishers and sows as three separate outcomes resulted in three persistent clusters (551 farms). Compared to farms outside the clusters during this period, weaners, finishers and sows on farms within these clusters had 19%, 104% and 4% higher use of antimicrobials, respectively. Production type, farm type and farm size seemed to have some bearing on the clustering effect. Adding these factors as categorical covariates one at a time in the multivariate analysis reduced the persistent clusters by 24.3%, 30.5% and 34.1%, respectively.