Literature DB >> 18945330

Surface-area-normalized Kt/V: a method of rescaling dialysis dose to body surface area-implications for different-size patients by gender.

John T Daugirdas1, Thomas A Depner, Tom Greene, Martin K Kuhlmann, Nathan W Levin, Glenn M Chertow, Michael V Rocco.   

Abstract

Dialysis is measured as Kt/V, which scales the dose (Kt) to body water content (V). Scaling dialysis dose to body surface area (S(dub)) has been advocated, but the implications of such rescaling have not been examined. We developed a method of rescaling measured Kt/V to S(dub) and studied the effect of such alternative scaling on the minimum adequacy values that might then be applied in male and female patients of varying body size. We examined anthropometric estimates of V and S (Watson vs. Dubois estimates) in 1765 patients enrolled in the HEMO study after excluding patients with amputations. An S-normalized target stdKt/V was defined, and an adequacy ratio (R) was computed for each patient as R = D/N where D = delivered stdKt/V (calculated using the Gotch-Leypoldt equation for stdKt/V) and N = the S-normalized minimum target value. In the HEMO data set, we determined the extent to which baseline (prerandomization) stdKt/V values would have exceeded such an S-based minimum target stdKt/V. The median V(wat):S(dub) ratios were significantly higher in men (21.34) than in women (18.50). The average of these (20) was used to normalize the current suggested minimally adequate value (stdKt/V > or = 2.0/week) to the S-normalized target value (stdKt/S > or = 40 L/M(2)), assuming that average modeled V = average anthropometric V. To achieve this S-normalized target, the required single-pool (sp) Kt/V was always higher in women than in men at any level of body size. For small patients (V(wat) = 25L), required stdKt/V values were 2.05 and 2.21/week for men and women, respectively, corresponding to spKt/V values of 1.31 and 1.52/session. On the other hand, large (V(wat) = 50L) male patients would need spKt/V values of only 1.0/session. Prerandomization baseline dialysis sessions in the HEMO study were found to meet such a new S-based standard in almost all (766/773) men and in 885/992 women. An analysis of scaling dose to anthropometrically estimated liver size (L) showed similar gender ratios for V(wat):L and V(wat):S(dub), providing a potential physiologic explanation underpinning S-based scaling. S-based scaling of the dialysis dose would require considerably higher doses in small patients and in women, and would allow somewhat lower doses in larger male patients. Current dialysis practice would largely meet such an S-based adequacy standard if the dose were normalized to a V(wat):S(dub) ratio of 20.

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Year:  2008        PMID: 18945330      PMCID: PMC2692381          DOI: 10.1111/j.1525-139X.2008.00482.x

Source DB:  PubMed          Journal:  Semin Dial        ISSN: 0894-0959            Impact factor:   3.455


  22 in total

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Journal:  Liver Transpl Surg       Date:  1999-09

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3.  Association of achieved dialysis dose with mortality in the hemodialysis study: an example of "dose-targeting bias".

Authors:  Tom Greene; John Daugirdas; Thomas Depner; Michael Allon; Gerald Beck; Cameron Chumlea; James Delmez; Frank Gotch; John W Kusek; Nathan Levin; William Owen; Gerald Schulman; Robert Star; Robert Toto; Garabed Eknoyan
Journal:  J Am Soc Nephrol       Date:  2005-09-28       Impact factor: 10.121

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Authors:  Edmund G Lowrie; Zhensheng Li; Norma Ofsthun; J Michael Lazarus
Journal:  Kidney Int       Date:  2005-09       Impact factor: 10.612

5.  Clinical practice guidelines for hemodialysis adequacy, update 2006.

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Journal:  Am J Kidney Dis       Date:  2006-07       Impact factor: 8.860

6.  Organ-tissue mass measurement allows modeling of REE and metabolically active tissue mass.

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Journal:  Adv Exp Med Biol       Date:  1987       Impact factor: 2.622

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Journal:  Am J Clin Nutr       Date:  1980-01       Impact factor: 7.045

9.  The post-hemodialysis rebound: predicting and quantifying its effect on Kt/V.

Authors:  J E Tattersall; D DeTakats; P Chamney; R N Greenwood; K Farrington
Journal:  Kidney Int       Date:  1996-12       Impact factor: 10.612

10.  Dose of hemodialysis and survival: differences by race and sex.

Authors:  W F Owen; G M Chertow; J M Lazarus; E G Lowrie
Journal:  JAMA       Date:  1998-11-25       Impact factor: 56.272

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  15 in total

1.  Long-Term Effects of Frequent In-Center Hemodialysis.

Authors:  Glenn M Chertow; Nathan W Levin; Gerald J Beck; John T Daugirdas; Paul W Eggers; Alan S Kliger; Brett Larive; Michael V Rocco; Tom Greene
Journal:  J Am Soc Nephrol       Date:  2015-10-14       Impact factor: 10.121

2.  Can rescaling dose of dialysis to body surface area in the HEMO study explain the different responses to dose in women versus men?

Authors:  John T Daugirdas; Tom Greene; Glenn M Chertow; Thomas A Depner
Journal:  Clin J Am Soc Nephrol       Date:  2010-07-01       Impact factor: 8.237

3.  Kt/Vurea and Nonurea Small Solute Levels in the Hemodialysis Study.

Authors:  Timothy W Meyer; Tammy L Sirich; Kara D Fong; Natalie S Plummer; Tariq Shafi; Seungyoung Hwang; Tanushree Banerjee; Yunnuo Zhu; Neil R Powe; Xin Hai; Thomas H Hostetter
Journal:  J Am Soc Nephrol       Date:  2016-03-29       Impact factor: 10.121

4.  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

5.  Plasma pseudouridine levels reflect body size in children on hemodialysis.

Authors:  Frank J O'Brien; Tammy L Sirich; Abigail Taussig; Enrica Fung; Lakshmi L Ganesan; Natalie S Plummer; Paul Brakeman; Scott M Sutherland; Timothy W Meyer
Journal:  Pediatr Nephrol       Date:  2019-11-14       Impact factor: 3.714

Review 6.  Sex and gender disparities in the epidemiology and outcomes of chronic kidney disease.

Authors:  Juan Jesus Carrero; Manfred Hecking; Nicholas C Chesnaye; Kitty J Jager
Journal:  Nat Rev Nephrol       Date:  2018-01-22       Impact factor: 28.314

7.  Association of Alternative Approaches to Normalizing Peritoneal Dialysis Clearance with Mortality and Technique Failure: A Retrospective Analysis Using the United States Renal Data System-Dialysis Morbidity and Mortality Study, Wave 2.

Authors:  Suzanne M Boyle; Yimei Li; F Perry Wilson; Joel D Glickman; Harold I Feldman
Journal:  Perit Dial Int       Date:  2016-09-28       Impact factor: 1.756

8.  Dialysis adequacy indices and body composition in male and female patients on peritoneal dialysis.

Authors:  Malgorzata Debowska; Ramón Paniagua; María-de-Jesús Ventura; Marcela Ávila-Díaz; Carmen Prado-Uribe; Carmen Mora; Elvia García-López; Abdul Rashid Qureshi; Bengt Lindholm; Jacek Waniewski
Journal:  Perit Dial Int       Date:  2014-02-04       Impact factor: 1.756

Review 9.  Comparison of proposed alternative methods for rescaling dialysis dose: resting energy expenditure, high metabolic rate organ mass, liver size, and body surface area.

Authors:  John T Daugirdas; Nathan W Levin; Peter Kotanko; Thomas A Depner; Martin K Kuhlmann; Glenn M Chertow; Michael V Rocco
Journal:  Semin Dial       Date:  2008 Sep-Oct       Impact factor: 3.455

10.  Dose of dialysis based on body surface area is markedly less in younger children than in older adolescents.

Authors:  John T Daugirdas; Melisha G Hanna; Rachel Becker-Cohen; Craig B Langman
Journal:  Clin J Am Soc Nephrol       Date:  2010-03-18       Impact factor: 8.237

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