Literature DB >> 21164018

Assessing creatinine clearance from modification of diet in renal disease study equations in the ADEMEX cohort: limitations and potential applications.

James A Sloand1, John K Leypoldt, Bruce F Culleton, Mary E Gellens, Ramon Paniagua, Dante Amato, Edward F Vonesh.   

Abstract

BACKGROUND AND OBJECTIVES: Twenty-four-hour urine and dialysate collections provide accepted means to assess adequacy in peritoneal dialysis (PD). Recent publications suggest that creatinine clearance (CrCl) estimated from the Modification of Diet in Renal Disease (MDRD) equations (eCrCl) accurately approximates measured CrCl (mCrCl) derived from 24-hour collections of urine and dialysate and might serve as an alternative means to assess small-solute clearance and adequacy in PD. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Post hoc analysis of data from patients enrolled in ADEMEX was used to assess agreement between mCrCl and eCrCl derived by four- and six-variable MDRD equations (4V-MDRDE and 6V-MDRDE, respectively). Additionally, associations among mCrCl, eCrCl, and survival were determined.
RESULTS: Acceptable precision was observed between mCrCl and 4V-MDRDE-eCrCl and 6V-MDRDE-eCrCl for the entire cohort. Precision was markedly diminished when analysis was limited to functionally anuric patients with mCrCl < 12 ml/min per 1.73 m². Although there was no association between survival and mCrCl, for every 1-ml/min per 1.73 m² increase in 4V- and 6V-MDRDE-eCrCl, there was a 6% and 4% increase in risk of death, respectively. There was a negative association between MDRDE-eCrCl and creatinine appearance rates, suggesting MDRDE-eCrCl is significantly confounded by individual differences in muscle mass.
CONCLUSIONS: MDRDE-eCrCl provides demographically comparable values to 24-hour urine and dialysate collections across the ADEMEX cohort. However, MDRDEs should not be used to assess small-solute removal or adequacy in individual PD patients or to predict outcome in any cohort of patients over narrow ranges of limited clearance.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 21164018      PMCID: PMC3082419          DOI: 10.2215/CJN.04970610

Source DB:  PubMed          Journal:  Clin J Am Soc Nephrol        ISSN: 1555-9041            Impact factor:   8.237


  29 in total

1.  II. NKF-K/DOQI Clinical Practice Guidelines for Peritoneal Dialysis Adequacy: update 2000.

Authors: 
Journal:  Am J Kidney Dis       Date:  2001-01       Impact factor: 8.860

2.  Increased cardiovascular risk associated with reduced kidney function.

Authors:  Timothy P Ryan; Susan G Fisher; Jessica L Elder; Paul C Winters; William Beckett; James Tacci; James A Sloand
Journal:  Am J Nephrol       Date:  2009-01-19       Impact factor: 3.754

3.  Residual renal function at the start of dialysis and clinical outcomes.

Authors:  Vianda S Stel; Friedo W Dekker; David Ansell; Hans Augustijn; Francesco G Casino; Frederic Collart; Patrik Finne; George A Ioannidis; Mario Salomone; Jamie P Traynor; Oscar Zurriaga; Enrico Verrina; Kitty J Jager
Journal:  Nephrol Dial Transplant       Date:  2009-06-10       Impact factor: 5.992

4.  Effect of comorbidity on the increased mortality associated with early initiation of dialysis.

Authors:  Waqar H Kazmi; David T Gilbertson; Gregorio T Obrador; Haifeng Guo; Brian J G Pereira; Allan J Collins; Annamaria T Kausz
Journal:  Am J Kidney Dis       Date:  2005-11       Impact factor: 8.860

5.  Effect of body size and body composition on survival in peritoneal dialysis patients.

Authors:  Nirupama Ramkumar; Lisa M Pappas; Srinivasan Beddhu
Journal:  Perit Dial Int       Date:  2005 Sep-Oct       Impact factor: 1.756

6.  Age and comorbidity may explain the paradoxical association of an early dialysis start with poor survival.

Authors:  Mathilde Lassalle; Michel Labeeuw; Luc Frimat; Emmanuel Villar; Véronique Joyeux; Cécile Couchoud; Bénédicte Stengel
Journal:  Kidney Int       Date:  2010-02-10       Impact factor: 10.612

7.  Relative contribution of residual renal function and peritoneal clearance to adequacy of dialysis: a reanalysis of the CANUSA study.

Authors:  Joanne M Bargman; Kevin E Thorpe; David N Churchill
Journal:  J Am Soc Nephrol       Date:  2001-10       Impact factor: 10.121

8.  Urinary creatinine excretion, an indirect measure of muscle mass, is an independent predictor of cardiovascular disease and mortality in the general population.

Authors:  Leendert H Oterdoom; Ron T Gansevoort; Jan P Schouten; Paul E de Jong; Reinold O B Gans; Stephan J L Bakker
Journal:  Atherosclerosis       Date:  2009-05-21       Impact factor: 5.162

9.  Comparison between creatinine-based equations for estimating total creatinine clearance in peritoneal dialysis: a multicentre study.

Authors:  Giovambattista Virga; Vincenzo La Milia; Roberto Russo; Luciana Bonfante; Marilena Cara; Maurizio Nordio
Journal:  Nephrol Dial Transplant       Date:  2009-08-12       Impact factor: 5.992

10.  Revised equations for estimated GFR from serum creatinine in Japan.

Authors:  Seiichi Matsuo; Enyu Imai; Masaru Horio; Yoshinari Yasuda; Kimio Tomita; Kosaku Nitta; Kunihiro Yamagata; Yasuhiko Tomino; Hitoshi Yokoyama; Akira Hishida
Journal:  Am J Kidney Dis       Date:  2009-04-01       Impact factor: 8.860

View more
  2 in total

1.  Estimated glomerular filtration rate in peritoneal dialysis practice.

Authors:  Yoshitaka Maeda; Yuya Araki; Tomomi Uno; Tamaki Kuyama; Keisuke Nishigaki
Journal:  Clin Exp Nephrol       Date:  2011-06-09       Impact factor: 2.801

2.  Serum creatinine level, a surrogate of muscle mass, predicts mortality in peritoneal dialysis patients.

Authors:  Jongha Park; Rajnish Mehrotra; Connie M Rhee; Miklos Z Molnar; Lilia R Lukowsky; Sapna S Patel; Allen R Nissenson; Joel D Kopple; Csaba P Kovesdy; Kamyar Kalantar-Zadeh
Journal:  Nephrol Dial Transplant       Date:  2013-06-05       Impact factor: 5.992

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.