Literature DB >> 21511841

Modeled urea distribution volume and mortality in the HEMO Study.

John T Daugirdas1, Tom Greene, Thomas A Depner, Nathan W Levin, Glenn M Chertow.   

Abstract

BACKGROUND AND OBJECTIVES: In the Hemodialysis (HEMO) Study, observed small decreases in achieved equilibrated Kt/V(urea) were noncausally associated with markedly increased mortality. Here we examine the association of mortality with modeled volume (V(m)), the denominator of equilibrated Kt/V(urea). DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Parameters derived from modeled urea kinetics (including V(m)) and blood pressure (BP) were obtained monthly in 1846 patients. Case mix-adjusted time-dependent Cox regressions were used to relate the relative mortality hazard at each time point to V(m) and to the change in V(m) over the preceding 6 months. Mixed effects models were used to relate V(m) to changes in intradialytic systolic BP and to other factors at each follow-up visit.
RESULTS: Mortality was associated with V(m) and change in V(m) over the preceding 6 months. The association between change in V(m) and mortality was independent of vascular access complications. In contrast, mortality was inversely associated with V calculated from anthropometric measurements (V(ant)). In case mix-adjusted analysis using V(m) as a time-dependent covariate, the association of mortality with V(m) strengthened after statistical adjustment for V(ant). After adjustment for V(ant), higher V(m) was associated with slightly smaller reductions in intradialytic systolic BP and with risk factors for mortality including recent hospitalization and reductions in serum albumin concentration and body weight.
CONCLUSIONS: An increase in V(m) is a marker for illness and mortality risk in hemodialysis patients.
Copyright © 2011 by the American Society of Nephrology

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Year:  2011        PMID: 21511841      PMCID: PMC3087780          DOI: 10.2215/CJN.06340710

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


  24 in total

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2.  Dose of dialysis: key lessons from major observational studies and clinical trials.

Authors:  Rajiv Saran; Bernard J Canaud; Thomas A Depner; Marcia L Keen; Keith P McCullough; Mark R Marshall; Friedrich K Port
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3.  Body size, dose of hemodialysis, and mortality.

Authors:  R A Wolfe; V B Ashby; J T Daugirdas; L Y Agodoa; C A Jones; F K Port
Journal:  Am J Kidney Dis       Date:  2000-01       Impact factor: 8.860

4.  Total body water volumes for adult males and females estimated from simple anthropometric measurements.

Authors:  P E Watson; I D Watson; R D Batt
Journal:  Am J Clin Nutr       Date:  1980-01       Impact factor: 7.045

5.  Random-effects models for longitudinal data.

Authors:  N M Laird; J H Ware
Journal:  Biometrics       Date:  1982-12       Impact factor: 2.571

6.  Anthropometrically estimated total body water volumes are larger than modeled urea volume in chronic hemodialysis patients: effects of age, race, and gender.

Authors:  John T Daugirdas; Tom Greene; Thomas A Depner; Cameron Chumlea; Michael J Rocco; Glenn M Chertow
Journal:  Kidney Int       Date:  2003-09       Impact factor: 10.612

7.  Shorter dialysis times are associated with higher mortality among incident hemodialysis patients.

Authors:  Steven M Brunelli; Glenn M Chertow; Elizabeth D Ankers; Edmund G Lowrie; Ravi Thadhani
Journal:  Kidney Int       Date:  2010-01-20       Impact factor: 10.612

8.  Dialyzer performance in the HEMO Study: in vivo K0A and true blood flow determined from a model of cross-dialyzer urea extraction.

Authors:  Thomas A Depner; Tom Greene; John T Daugirdas; Alfred K Cheung; Frank A Gotch; John K Leypoldt
Journal:  ASAIO J       Date:  2004 Jan-Feb       Impact factor: 2.872

9.  Effect of dialysis dose and membrane flux in maintenance hemodialysis.

Authors:  Garabed Eknoyan; Gerald J Beck; Alfred K Cheung; John T Daugirdas; Tom Greene; John W Kusek; Michael Allon; James Bailey; James A Delmez; Thomas A Depner; Johanna T Dwyer; Andrew S Levey; Nathan W Levin; Edgar Milford; Daniel B Ornt; Michael V Rocco; Gerald Schulman; Steve J Schwab; Brendan P Teehan; Robert Toto
Journal:  N Engl J Med       Date:  2002-12-19       Impact factor: 91.245

10.  Factors that affect postdialysis rebound in serum urea concentration, including the rate of dialysis: results from the HEMO Study.

Authors:  John T Daugirdas; Tom Greene; Thomas A Depner; John Leypoldt; Frank Gotch; Gerald Schulman; Robert Star
Journal:  J Am Soc Nephrol       Date:  2004-01       Impact factor: 10.121

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  4 in total

1.  You're Not Big--You're Just Tall, That's All!

Authors:  John T Daugirdas
Journal:  J Am Soc Nephrol       Date:  2015-10-01       Impact factor: 10.121

Review 2.  Kt/V (and especially its modifications) remains a useful measure of hemodialysis dose.

Authors:  John T Daugirdas
Journal:  Kidney Int       Date:  2015-07-15       Impact factor: 10.612

3.  Dialysis dose scaled to body surface area and size-adjusted, sex-specific patient mortality.

Authors:  Sylvia Paz B Ramirez; Alissa Kapke; Friedrich K Port; Robert A Wolfe; Rajiv Saran; Jeffrey Pearson; Richard A Hirth; Joseph M Messana; John T Daugirdas
Journal:  Clin J Am Soc Nephrol       Date:  2012-09-13       Impact factor: 8.237

4.  Ultrafiltration Rate Thresholds Associated With Increased Mortality Risk in Hemodialysis, Unscaled or Scaled to Body Size.

Authors:  Jochen G Raimann; Yuedong Wang; Ariella Mermelstein; Peter Kotanko; John T Daugirdas
Journal:  Kidney Int Rep       Date:  2022-04-22
  4 in total

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