Performance of estimated glomerular filtration rate prediction equations in preeclamptic patients

Arnold B. Alper, Yeonjoo Yi, Mahfuz Rahman, Larry S. Webber, Laura Magee, Peter Von Dadelszen, Gabriella Pridjian, Abimbola Aina-Mumuney, George Saade, Jamie Morgan, Bahij Nuwayhid, Michael Belfort, Jules Puschett

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

Accurate estimation of the glomerular filtration rate (GFR) in patients with preeclampsia requires the collection of a 24-hour urine and can have important therapeutic and diagnostic implications. This procedure is often difficult or impossible to accomplish in this patient group. In this study, the Cockcroft-Gault, the Modification of Diet in Renal Disease (MDRD), and Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) formulas were evaluated for their accuracy in determining GFR in the setting of preeclampsia. The estimated GFRs calculated from the above formulas were compared with the creatinine clearance values obtained from a 24-hour urine collections in 543 preeclamptic patients recruited from several large hospitals. Additionally, a set of new equations, preeclampsia GFR (PGFR), based on ethnicity, was created. The Cockcroft-Gault, MDRD, and CKD-EPI formulas were inaccurate in predicting GFR and both were significantly less accurate than PGFR. The latter formula provided an estimated GFR that was much closer to the creatinine clearance. Current GFR estimation equations based on serum creatinine values in nonpregnant patients are not reliable measures of renal function in patients with preeclampsia. The use of a new formula (PGFR) is recommended.

Original languageEnglish (US)
Pages (from-to)425-430
Number of pages6
JournalAmerican journal of perinatology
Volume28
Issue number6
DOIs
StatePublished - 2011

Keywords

  • Glomerular filtration rate
  • preeclampsia
  • pregnancy

ASJC Scopus subject areas

  • Pediatrics, Perinatology, and Child Health
  • Obstetrics and Gynecology

Fingerprint

Dive into the research topics of 'Performance of estimated glomerular filtration rate prediction equations in preeclamptic patients'. Together they form a unique fingerprint.

Cite this