Frequency and clinical profile of patients with polycystic kidney disease in southern Brazil.

Abstract

BACKGROUND:

Autosomal dominant polycystic kidney disease (ADPKD) is one of the most common genetic nephropathies, affecting one in every 800-1000 individuals in the worldwide general population and 5-10% of hemodialysis patients. Little data concerning the prevalence of ADPKD in Brazil are available. Thus, the aim of the present study was to investigate both the frequency and clinical profile of ADPKD among hemodialysis patients in south of Brazil.

METHODS:

This cross-sectional study consisted of patients from 24 hemodialysis centers. Patients were screened for ADPKD by clinical, laboratorial, and image examination in medical records.

RESULTS:

Of 1326 patients on hemodialysis in the south of Brazil that composed this study, 99 (7.5%) had polycystic kidney as primary cause for chronic renal failure. Comparisons between ADPKD and non-ADPKD patients revealed no differences regarding mean age, gender, and ethnicity.

CONCLUSIONS:

Our data revealed that ADPKD is prevalent among patients on hemodialysis in the south of Brazil. In addition, the clinical profile of ADPKD is similar to reported data from North America and Europe, putatively due to the similar ethnic composition mainly based on European descents.

• Authors: Ane Cláudia Fernandes Nunes, Vagner Milani, Daiana Benck Porsch, Liana Bertolin Rossato, Cristiane Bastos Mattos, Israel Roisenberg, Elvino José Guardão Barros
• Journal: Renal failure (Ren Fail) Vol. 30 Issue 2 Pg. 169-73 ( 2008) ISSN: 1525-6049 [Electronic] England
• PMID: 18300116 (Publication Type: Comparative Study, Journal Article)

Topics

• Adult
• Age Distribution
• Analysis of Variance
• Brazil (epidemiology)
• Cross-Sectional Studies
• Female
• Humans
• Incidence
• Kidney Failure, Chronic (diagnosis, epidemiology, therapy)
• Kidney Function Tests
• Male
• Middle Aged
• Multicenter Studies as Topic
• Polycystic Kidney, Autosomal Dominant (diagnosis, epidemiology, therapy)
• Probability
• Prognosis
• Renal Dialysis (statistics & numerical data)
• Risk Assessment
• Severity of Illness Index
• Sex Distribution
• Statistics, Nonparametric
• Survival Analysis
• Treatment Outcome