A comparison of estimated glomerular filtration rates using Cockcroft-Gault and the Chronic Kidney Disease Epidemiology Collaboration estimating equations in HIV infection
Research output: Contribution to journal › Journal article › Research › peer-review
Documents
- Mocroft_et_al-2014-HIV_Medicine
Final published version, 193 KB, PDF document
The aim of this study was to determine whether the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI)- or Cockcroft-Gault (CG)-based estimated glomerular filtration rates (eGFRs) performs better in the cohort setting for predicting moderate/advanced chronic kidney disease (CKD) or end-stage renal disease (ESRD).
Original language | English |
---|---|
Journal | HIV Medicine |
Volume | 15 |
Issue number | 3 |
Pages (from-to) | 144-152 |
Number of pages | 9 |
ISSN | 1464-2662 |
DOIs | |
Publication status | Published - Mar 2014 |
Number of downloads are based on statistics from Google Scholar and www.ku.dk
No data available
ID: 105745729