Screening for proteinuria and chronic kidney disease risk factors in Kinshasa: a World Kidney Day 2007 study

Nephron Clin Pract. 2008;110(4):c220-8. doi: 10.1159/000167869. Epub 2008 Oct 31.

Abstract

Background: Although screening programs for chronic kidney disease (CKD) may be of great value, these programs are not yet implemented in the Democratic Republic of Congo. This study focused on proteinuria and examined its prevalence in terms of the number needed to screen for the different risk factors of CKD. Such knowledge would guide the utility of population screening to prevent end-stage renal disease.

Methods: A cross-sectional survey was conducted in Kinshasa on the Second World Kidney Day. A sample of 3,018 subjects was interviewed and the following measurements were performed: blood pressure, body mass index, glycemia and urine protein. Logistic regression analysis was used to identify determinants of proteinuria.

Results: The prevalence of proteinuria was 17.1% (95% CI 15.8-18.6). Other CKD risk factors identified were: hypertension, diabetes mellitus, obesity and metabolic syndrome. To identify 1 case of proteinuria, one would need to screen 4 persons with diabetes, 5 persons with hypertension, 4 subjects having metabolic syndrome, 5 persons aged >or=72 years and 9 persons without any of the conditions mentioned above. Age, overweight and diabetes were the strongest factors associated with proteinuria.

Conclusions: This study indicates that proteinuria and traditional risk factors for CKD are very prevalent in Kinshasa. Realistic policies to stem these conditions should be a public health priority.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Child
  • Comorbidity
  • Democratic Republic of the Congo / epidemiology
  • Female
  • Humans
  • Incidence
  • Kidney Failure, Chronic / diagnosis*
  • Kidney Failure, Chronic / epidemiology*
  • Male
  • Mass Screening / methods*
  • Mass Screening / statistics & numerical data*
  • Middle Aged
  • Proteinuria / diagnosis*
  • Proteinuria / epidemiology*
  • Risk Assessment / methods*
  • Risk Factors
  • Young Adult