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Peer-reviewed veterinary case report

How likely is a urinary tract infection in dogs with bladder symptoms

By Sørensen, T M et al.·Published in Veterinary journal (London, England : 1997)·2019·Department of Veterinary Clinical Sciences·View original on PubMed

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Original publication title: Pre-test probability of urinary tract infection in dogs with clinical signs of lower urinary tract disease.

Species:
dog

Plain-English summary

A 5-year-old female Beagle was brought to the vet with symptoms of frequent urination, straining to urinate, and blood in her urine. After testing, she was diagnosed with a urinary tract infection (UTI), which was confirmed through a urine culture. The vet used a scoring system based on her age, sex, and specific symptoms to help determine the likelihood of a UTI. Treatment with antibiotics cleared the infection, and she recovered well after a few days of medication.

People also search for: dog frequent urination · Beagle blood in urine · dog urinary tract infection treatment

Abstract

Clinical signs of lower urinary tract disease in dogs are characteristic but non-specific for infection. It has been hypothesized that age, sex and neuter status influences the prevalence of urinary tract infection (UTI), but the predictive value of the combined clinical presentation has not been explored in dogs. The aim of the study was to assess clinical predictors (sex/neuter status, age, dysuria/stranguria, pollakiuria, macroscopic hematuria, malodorous urine and history of recurrent UTI) for bacterial cystitis, and to develop a clinical decision rule. Data was retrieved from medical records (retrospective cases) or from standardized recording sheets (prospective cases). Bacterial cystitis was defined as significant bacteriuria on quantitative bacterial culture in dogs with compatible clinical signs of urinary tract disease. Dogs of any breed, sex and age were included. A total of 1727 microbiology records were screened and 424 samples were included in the analysis. Bacterial cystitis was confirmed in 46% of the cases. Four variables predicted bacterial cystitis: sex/neuter status, age, pollakiuria and hematuria. A score was designated to each variable and a clinical rule was constructed. This rule attained an AUC of 0.75 and had sensitivity of 83% and specificity of 55% at its optimal cut-off (score ≥2.0). A score cut-off of ≥3.0 had a positive predictive value of 70%. Several factors predicted bacterial cystitis, but the clinical rule had only modest predictive value. Other variables or point-of-care test results should be included in future research to optimize overall precision.

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Original publication on PubMed: https://pubmed.ncbi.nlm.nih.gov/30971354/