Project

Predicting urinary creatinine excretion and its usefulness to identify incomplete 24 h urine collections

Code
31519110
Duration
01 January 2010 → 31 December 2012
Funding
Research Foundation - Flanders (FWO)
Research disciplines
  • Medical and health sciences
    • Urology and nephrology
    • Urology and nephrology
    • Urology and nephrology
Keywords
sensitivity specificity creatinine index para-aminobenzoic acid
 
Project description

The aim is to develop a model for predicting UCE and to assess the performance of a creatinine index using para-aminobenzoic acid (PABA) as a reference. The present study showed that UCE can be predicted from weight, age and sex. However, a creatinine index based on these predictions is not sufficiently sensitive to exclude incomplete 24 h urine collections