Literature DB >> 33797303

Association between case signalment and disease diagnosis in urinary bladder disease in Australian cats and dogs.

Emily Jones1, John Alawneh1,2, Mary Thompson3, Rachel Allavena1.   

Abstract

Urinary bladder diseases are common in dogs and cats; however, there is little published work on urinary bladder disease in Australian pets. We identified pathology records of Australian dogs and cats with urinary bladder tissue submitted to the University of Queensland Veterinary Laboratory Service during 1994-2016 (n = 320). We described the proportion of bladder diseases in dogs and cats, and applied the less-commonly used logistic regression procedure to quantify associations between signalment variables and disease diagnosis that were evident using descriptive statistics alone. After preliminary analysis, both species were combined because of similar results. Spayed/castrated animals were 74% less likely to be diagnosed with cystitis compared with intact animals. Animals 4-11 y old were also at lower risk of being diagnosed with cystitis compared with younger or older animals. Male animals were at increased risk of neoplasia compared to females, which contrasts with reports from North America and Europe. There was increased risk for developing neoplasia with progressive age, with up to 20 times higher odds in the > 11-y age group. Logistic regression modeling provided unique insight into proportionate morbidity of urinary bladder diseases in Australian dogs and cats.

Entities:  

Keywords:  Australia; cats; dogs; logistic regression; urinary bladder

Mesh:

Year:  2021        PMID: 33797303      PMCID: PMC8120093          DOI: 10.1177/10406387211004008

Source DB:  PubMed          Journal:  J Vet Diagn Invest        ISSN: 1040-6387            Impact factor:   1.279


  25 in total

1.  Risk factors and clinical presentation of cats with feline idiopathic cystitis.

Authors:  Pieter A M Defauw; Isabel Van de Maele; Luc Duchateau; Ingeborgh E Polis; Jimmy H Saunders; Sylvie Daminet
Journal:  J Feline Med Surg       Date:  2011-11-09       Impact factor: 2.015

2.  Clinical signs, treatments, and outcome in cats with transitional cell carcinoma of the urinary bladder: 20 cases (1990-2004).

Authors:  Heather M Wilson; Ruthanne Chun; Victoria S Larson; Ilene D Kurzman; David M Vail
Journal:  J Am Vet Med Assoc       Date:  2007-07-01       Impact factor: 1.936

Review 3.  Urethroscopy, cystoscopy, and biopsy of the feline lower urinary tract.

Authors:  D J Chew; T Buffington; M S Kendall; S D Osborn; B E Woodsworth
Journal:  Vet Clin North Am Small Anim Pract       Date:  1996-05       Impact factor: 2.093

4.  Prevalence and clinical outcome of subclinical bacteriuria in female dogs.

Authors:  Stephanie Y Wan; Faye A Hartmann; Michelle K Jooss; Katrina R Viviano
Journal:  J Am Vet Med Assoc       Date:  2014-07-01       Impact factor: 1.936

5.  International Society for Companion Animal Infectious Diseases (ISCAID) guidelines for the diagnosis and management of bacterial urinary tract infections in dogs and cats.

Authors:  J Scott Weese; Joseph Blondeau; Dawn Boothe; Luca G Guardabassi; Nigel Gumley; Mark Papich; Lisbeth Rem Jessen; Michael Lappin; Shelley Rankin; Jodi L Westropp; Jane Sykes
Journal:  Vet J       Date:  2019-02-26       Impact factor: 2.688

6.  Naturally-occurring canine transitional cell carcinoma of the urinary bladder A relevant model of human invasive bladder cancer.

Authors:  D W Knapp; N W Glickman; D B Denicola; P L Bonney; T L Lin; L T Glickman
Journal:  Urol Oncol       Date:  2000 Mar-Apr       Impact factor: 3.498

7.  Prevalence and antimicrobial resistance of canine urinary tract pathogens.

Authors:  J L Hall; M A Holmes; S J Baines
Journal:  Vet Rec       Date:  2013-10-24       Impact factor: 2.695

8.  Clinical evaluation of cats with nonobstructive urinary tract diseases.

Authors:  C A Buffington; D J Chew; M S Kendall; P V Scrivani; S B Thompson; J L Blaisdell; B E Woodworth
Journal:  J Am Vet Med Assoc       Date:  1997-01-01       Impact factor: 1.936

9.  Machine learning for syndromic surveillance using veterinary necropsy reports.

Authors:  Nathan Bollig; Lorelei Clarke; Elizabeth Elsmo; Mark Craven
Journal:  PLoS One       Date:  2020-02-05       Impact factor: 3.240

Review 10.  Stones in cats and dogs: What can be learnt from them?

Authors:  Harriet M Syme
Journal:  Arab J Urol       Date:  2012-08-15
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