Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comparative Study
. 2018 Mar 7;13(3):445-455.
doi: 10.2215/CJN.05680517. Epub 2018 Jan 11.

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

Affiliations
Comparative Study

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

Matthew B Rivara et al. Clin J Am Soc Nephrol. .

Abstract

Background and objectives: Patients undergoing hemodialysis with a frequency other than thrice weekly are not included in current clinical performance metrics for dialysis adequacy. The weekly standard Kt/Vurea incorporates treatment frequency, but there are limited data on its association with clinical outcomes.

Design, setting, participants, & measurements: We used multivariable regression to examine the association of dialysis standard Kt/Vurea with BP and metabolic control (serum potassium, calcium, bicarbonate, and phosphorus) in patients incidental to dialysis treated with home (n=2373) or in-center hemodialysis (n=109,273). We further used Cox survival models to examine the association of dialysis standard Kt/Vurea with mortality, hospitalization, and among patients on home hemodialysis, transfer to in-center hemodialysis.

Results: After adjustment for potential confounders, patients with dialysis standard Kt/Vurea <2.1 had higher BPs compared with patients with standard Kt/Vurea 2.1 to <2.3 (3.4 mm Hg higher [P<0.001] for home hemodialysis and 0.9 mm Hg higher [P<0.001] for in-center hemodialysis). There were no clinically meaningful associations between dialysis standard Kt/Vurea and markers of metabolic control, irrespective of dialysis modality. There was no association between dialysis standard Kt/Vurea and risk for mortality, hospitalization, or transfer to in-center hemodialysis among patients undergoing home hemodialysis. Among patients on in-center hemodialysis, dialysis standard Kt/Vurea <2.1 was associated with higher risk (adjusted hazard ratio, 1.11; 95% confidence interval, 1.07 to 1.14) and standard Kt/Vurea ≥2.3 was associated with lower risk (adjusted hazard ratio, 0.97; 95% confidence interval, 0.94 to 0.99) for death compared with standard Kt/Vurea 2.1 to <2.3. Additional analyses limited to patients with available data on residual kidney function showed similar relationships of dialysis and total (dialysis plus kidney) standard Kt/Vurea with outcomes.

Conclusions: Current targets for standard Kt/Vurea have limited utility in identifying individuals at increased risk for adverse clinical outcomes for those undergoing home hemodialysis but may enhance risk stratification for in-center hemodialysis.

Keywords: Bicarbonates; Blood Pressure Determination; Confidence Intervals; Epidemiology and outcomes; Hemodialysis, Home; Odds Ratio; Phosphorus; Potassium; Risk; blood pressure; calcium bicarbonate; hemodialysis adequacy; hospitalization; mortality risk; renal dialysis.

PubMed Disclaimer

Figures

None
Graphical abstract
Figure 1.
Figure 1.
Single-pool Kt/V (spKt/V) and standard Kt/V (stdKt/V) in patients undergoing home and in-center hemodialysis are closely correlated after accounting for dialysis treatment frequency. (A) Home hemodialysis linear correlation coefficients: 0.93 for weekly treatment frequency =3, 0.92 for frequency =4, 0.91 for frequency =5, 0.92 for frequency =6, and 0.90 for frequency =7. (B) In-center hemodialysis linear correlation coefficients: 0.79 for weekly treatment frequency =2, 0.87 for frequency =3, 0.83 for frequency =4, and 0.86 for frequency =5.
Figure 2.
Figure 2.
Dialysis standard Kt/V (stdKt/V) was not associated with all-cause mortality, hospitalization, or transfer to in-center hemodialysis (HD) in patients undergoing home HD. Cubic splines shown are from models adjusted for age, sex, race/ethnicity, body mass index, diabetes status, history of congestive heart failure, history of atherosclerotic heart disease, vascular access type, and serum albumin. Solid lines represent 95% confidence intervals.
Figure 3.
Figure 3.
Spline analyses suggested that dialysis stdKt/V less than that typically achieved in clinical practice was associated with higher mortality and hospitalization among patients undergoing in-center hemodialysis. Cubic splines shown are from models adjusted for age, sex, race/ethnicity, body mass index, diabetes status, history of congestive heart failure, history of atherosclerotic heart disease, vascular access type, and serum albumin. Solid lines represent 95% confidence intervals.
Figure 4.
Figure 4.
Restricting analyses to patients on in-center hemodialysis with available data on residual native kidney function (n=31,748) did not change the observed association of dialysis stdKt/V with all-cause mortality. Data shown are from models adjusted for age, sex, race/ethnicity, body mass index, diabetes status, history of congestive heart failure, history of atherosclerotic heart disease, vascular access type, and serum albumin. Dialysis stdKt/V models are additionally adjusted for kidney stdKt/V; kidney stdKt/V models are additionally adjusted for dialysis stdKt/V. Solid lines represent 95% confidence intervals.

Similar articles

Cited by

References

    1. United States Renal Data System : USRDS Annual Data Report: Epidemiology of Kidney Disease in the United States, Bethesda, MD, National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, 2016
    1. Rivara MB, Mehrotra R: The changing landscape of home dialysis in the United States. Curr Opin Nephrol Hypertens 23: 586–591, 2014 - PMC - PubMed
    1. Centers for Medicare & Medicaid Services (CMS) ; HHS: Medicare program; end-stage renal disease prospective payment system, and quality incentive program. Final rule. Fed Regist 80: 68968–69077, 2015 - PubMed
    1. Eknoyan G, Beck GJ, Cheung AK, Daugirdas JT, Greene T, Kusek JW, Allon M, Bailey J, Delmez JA, Depner TA, Dwyer JT, Levey AS, Levin NW, Milford E, Ornt DB, Rocco MV, Schulman G, Schwab SJ, Teehan BP, Toto R; Hemodialysis (HEMO) Study Group : Effect of dialysis dose and membrane flux in maintenance hemodialysis. N Engl J Med 347: 2010–2019, 2002 - PubMed
    1. Miller JE, Kovesdy CP, Nissenson AR, Mehrotra R, Streja E, Van Wyck D, Greenland S, Kalantar-Zadeh K: Association of hemodialysis treatment time and dose with mortality and the role of race and sex. Am J Kidney Dis 55: 100–112, 2010 - PMC - PubMed

Publication types

MeSH terms