title: Clinicopathological variables predicting progression of azotemia in cats with chronic kidney disease.
abstract: BACKGROUND
  Chronic kidney disease (CKD) is common in geriatric cats, but often appears to be stable for long periods of time.
  
  
  OBJECTIVE
  To describe CKD progression and identify risk factors for progression in newly diagnosed azotemic cats.
  
  
  METHODS
  A total of 213 cats with CKD (plasma creatinine concentration > 2 mg/dL, urine specific gravity < 1.035) were followed up until progression occurred or for at least 1 year; 132, 73, and 8 cats were in International Renal Interest Society (IRIS) stages 2, 3, and 4, respectively.
  
  
  METHODS
  Progression was defined as a 25% increase in plasma creatinine concentration. Logistic regression was used to assess variables at diagnosis that were associated with progression within 1 year. Changes in IRIS stage during follow-up also were described. Cases that remained in stages 2 or 3, but did not have renal function assessed in the last 60 days of life, were excluded from analysis of the proportion reaching stage 4.
  
  
  RESULTS
  Of the cats, 47% (101) progressed within 1 year of diagnosis. High plasma phosphate concentration and high urine protein-to-creatinine ratio (UPC) predicted progression in all cats. Low PCV and high UPC independently predicted progression in stage 2 cats, whereas higher plasma phosphate concentration predicted progression in stage 3 cats; 19% (18/94) of cats diagnosed in stage 2; and 63% (34/54) of cats diagnosed in stage 3 reached stage 4 before they died.
  
  
  CONCLUSIONS
  Proteinuria, anemia, and hyperphosphatemia may reflect more progressive kidney disease. Alternatively, they may be markers for mechanisms of progression such as tubular protein overload, hypoxia, and nephrocalcinosis.
authors.affiliation: Department of Veterinary Basic Sciences, Royal Veterinary College, London, UK. ekos@live.com
authors.forename: S
authors.initials: S
authors.lastname: Chakrabarti
authors.forename: H M
authors.initials: HM
authors.lastname: Syme
authors.forename: J
authors.initials: J
authors.lastname: Elliott
mesh_terms: D000818:Animals; D053099:Azotemia / Q000097:blood / Q000662:veterinary*; D015415:Biomarkers / Q000097:blood; D002371:Cat Diseases / Q000097:blood / Q000473:pathology*; D002415:Cats; D003404:Creatinine / Q000097:blood; D018450:Disease Progression; D005260:Female; D007676:Kidney Failure, Chronic / Q000097:blood / Q000473:pathology / Q000662:veterinary*; D016015:Logistic Models; D008137:Longitudinal Studies; D008297:Male; D010710:Phosphates / Q000097:blood
chemical_list: D015415:Biomarkers; D010710:Phosphates; D003404:Creatinine