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Volume 55, Issue 1, Pages 100-112 (January 2010)


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Association of Hemodialysis Treatment Time and Dose With Mortality and the Role of Race and Sex

Jessica E. Miller, MPH12, Csaba P. Kovesdy, MD3, Allen R. Nissenson, MD45, Rajnish Mehrotra, MD5, Elani Streja, MPH12, David Van Wyck, MD467, Sander Greenland, DrPH28, Kamyar Kalantar-Zadeh, MD, MPH, PhD125Corresponding Author Informationemail address

Received 4 February 2009; accepted 7 August 2009. published online 23 October 2009.

Background

The association of survival with characteristics of thrice-weekly hemodialysis (HD) treatment, including dose or duration of treatment, has not been completely elucidated, especially in different race and sex categories.

Study Design

We examined associations of time-averaged and quarterly varying (time-dependent) delivered HD dose and treatment time and 5-year (July 2001-June 2006) survival.

Setting & Participants

88,153 thrice-weekly–treated HD patients from DaVita dialysis clinics.

Predictors

HD treatment dose (single-pool Kt/V) and treatment time.

Outcomes & Other Measurements

5-Year mortality.

Results

Thrice-weekly treatment time < 3 hours (but ≥ 2.5 hours) per HD session compared with ≥ 3.5 hours (but < 5 hours) was associated with increased death risk independent of Kt/V dose. The greatest survival gain of higher HD dose was associated with a Kt/V approaching the 1.6-1.8 range, beyond which survival gain was minimal, nonexistent, or even tended to reverse in African American men and those with 4-5 hours of HD treatment. In non-Hispanic white women, Kt/V > 1.8 continued to show survival advantage trends, especially in time-dependent models.

Limitations

Our results may incorporate uncontrolled confounding. Achieved Kt/V may have different associations than targeted Kt/V.

Conclusions

HD treatment dose and time appear to have different associations with survival in different sex or race groups. Randomized controlled trials may be warranted to examine these associations across different racial and demographic groups.

1 Harold Simmons Center for Chronic Disease Research and Epidemiology, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA

2 Department of Epidemiology, UCLA School of Public Health, Los Angeles, CA

3 Salem Veterans Affairs Medical Center, Salem, VA

4 DaVita Inc, El Segundo, Los Angeles, CA

5 David Geffen School of Medicine at UCLA, Los Angeles, CA

6 Department of Medicine, Arizona Center on Aging, Arizona Health Sciences Center, Tucson, AZ

7 Department of Surgery, Arizona Center on Aging, Arizona Health Sciences Center, Tucson, AZ

8 Department of Statistics, UCLA College of Letters and Sciences, Los Angeles, CA

Corresponding Author InformationAddress correspondence to Kamyar Kalantar-Zadeh, MD, MPH, PhD, Harold Simmons Center for Chronic Disease Research and Epidemiology, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, 1124 West Carson St, C1-Annex, Torrance, CA 90509-2910

 Originally published online as doi:10.1053/j.ajkd.2009.08.007 on October 23, 2009.

PII: S0272-6386(09)01134-2

doi:10.1053/j.ajkd.2009.08.007


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