Effect of bacterial cystitis on leukogram, urinary density and proteinuria in dogs

• Grant number: 18/11903-5
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: September 01, 2018
• End date: December 31, 2019
• Field of knowledge: Agronomical Sciences - Veterinary Medicine - Animal Pathology
• Principal Investigator: Breno Fernando Martins de Almeida
• Grantee: Aline Martins Mancebo
• Host Institution: Centro Universitário Faculdades Integradas de Ourinhos. Fundação Educacional Miguel Mofarrej. Ourinhos , SP, Brazil

Abstract

Bacterial cystitis is the pathology that most affects the lower urinary tract of dogs, more often caused by gram-negative bacilli. Some studies have shown changes in leukogram of dogs with experimentally induced cystitis, while others state that there is no alteration of this parameter in dogs with natural infection. Although proteinuria and urinary density are parameters used to assess renal function, extrarenal causes such as bacterial cystitis are known to cause proteinuria in dogs. However, it is not yet known whether the degree of proteinuria is dependent on the degree of bacteriuria and how long after treatment the proteinuria persists in dogs. In this aspect, the present study aims to evaluate the leukogram, proteinuria and urinary density of dogs naturally affected by bacterial cystitis caused by gram-negative bacilli before (at the time of diagnosis) up to 28 days after starting treatment. To do this, a minimum of 10 dogs diagnosed with bacterial cystitis will have blood and urine samples collected at the time of diagnosis and 7, 14, 21 and 28 days after initiation of antibiotic therapy. The hemogram will be performed on a veterinary automated cell counter and the differential leukocyte count will be performed on blood smear. Urinalysis will be performed by physical-chemical and urinary sediment evaluation. Bacterial culture with bacterial quantification, identification and antibiotic sensibility will be determined in the sample from the moment of diagnosis. Culture without bacterial growth will evidence the efficacy of the treatment. The moments after the treatment will be compared statistically to the moment of diagnosis by the paired T or Wilcoxon tests in a computer program, being considered significant when p<0.05.