Literature DB >> 16192421

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

Tom Greene1, 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.   

Abstract

In the intention-to-treat analysis of the Hemodialysis Study, all-cause mortality did not differ significantly between the high versus standard hemodialysis dose groups. The association of mortality with delivered dose within each of the two randomized treatment groups was examined, and implications for observational studies were considered. Time-dependent Cox regression was used to relate the relative risk (RR) for mortality to the running mean of the achieved equilibrated Kt/V (eKt/V) over the preceding 4 mo. eKt/V was categorized by quintiles within each dose group. Analyses were controlled for case-mix factors and baseline anthropometric volume. Within each randomized dose group, mortality was elevated markedly when achieved eKt/V was in the lowest quintile (RR, 1.93; 95% confidence interval [CI], 1.40 to 2.66; P < 0.0001 in the standard-dose group; RR, 2.04; 95% CI, 1.50 to 2.76; P < 0.0001 in the high-dose group; RR relative to the middle quintiles). The mortality rate in the lowest eKt/V quintile of the high-dose group was higher than in the full standard-dose group (RR, 1.59; 95% CI, 1.29 to 1.96; P < 0.0001). Each 0.1 eKt/V unit below the group median was associated with a 58% higher mortality in the standard-dose group (P < 0.001) and a 37% higher mortality in the high-dose group (P < 0.001). The magnitude of these dose-mortality effects was seven- to 12-fold higher than the upper limit of the 95% CI from the intention-to-treat analysis. The effects were attenuated in lagged analyses but did not disappear. When dialysis dose is targeted closely, as under the controlled conditions of the Hemodialysis Study, patients with the lowest achieved dose relative to their target dose experience markedly increased mortality, to a degree that is not compatible with a biologic effect of dose. The possibility of similar (albeit smaller) biases should be considered when analyzing observational data sets relating mortality to achieved dose of dialysis.

Entities:  

Mesh:

Year:  2005        PMID: 16192421     DOI: 10.1681/ASN.2005030321

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   10.121


  17 in total

1.  Modeled urea distribution volume and mortality in the HEMO Study.

Authors:  John T Daugirdas; Tom Greene; Thomas A Depner; Nathan W Levin; Glenn M Chertow
Journal:  Clin J Am Soc Nephrol       Date:  2011-04-21       Impact factor: 8.237

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.  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

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.  Weekly Standard Kt/Vurea and Clinical Outcomes in Home and In-Center Hemodialysis.

Authors:  Matthew B Rivara; Vanessa Ravel; Elani Streja; Yoshitsugu Obi; Melissa Soohoo; Alfred K Cheung; Jonathan Himmelfarb; Kamyar Kalantar-Zadeh; Rajnish Mehrotra
Journal:  Clin J Am Soc Nephrol       Date:  2018-01-11       Impact factor: 8.237

Review 6.  The controversies of diagnosing and treating hypertension among hemodialysis patients.

Authors:  Rajiv Agarwal
Journal:  Semin Dial       Date:  2012-06-11       Impact factor: 3.455

7.  Dose of hemodialysis and survival: a marginal structural model analysis.

Authors:  Paungpaga Lertdumrongluk; Elani Streja; Connie M Rhee; Jongha Park; Onyebuchi A Arah; Steven M Brunelli; Allen R Nissenson; Daniel Gillen; Kamyar Kalantar-Zadeh
Journal:  Am J Nephrol       Date:  2014-04-26       Impact factor: 3.754

8.  Dialysis dose and intradialytic hypotension: results from the HEMO study.

Authors:  Finnian R Mc Causland; Steven M Brunelli; Sushrut S Waikar
Journal:  Am J Nephrol       Date:  2013-10-26       Impact factor: 3.754

9.  Considerations in the statistical analysis of hemodialysis patient survival.

Authors:  Christos Argyropoulos; Chung-Chou H Chang; Laura Plantinga; Nancy Fink; Neil Powe; Mark Unruh
Journal:  J Am Soc Nephrol       Date:  2009-07-30       Impact factor: 10.121

10.  Association of hemodialysis treatment time and dose with mortality and the role of race and sex.

Authors:  Jessica E Miller; Csaba P Kovesdy; Allen R Nissenson; Rajnish Mehrotra; Elani Streja; David Van Wyck; Sander Greenland; Kamyar Kalantar-Zadeh
Journal:  Am J Kidney Dis       Date:  2009-10-22       Impact factor: 8.860

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.