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Journal ArticleDOI

Effect of Dialysis Dose and Membrane Flux in Maintenance Hemodialysis

TLDR
Patients undergoing hemodialysis thrice weekly appear to have no major benefit from a higher dialysis dose than that recommended by current U.S. guidelines or from the use of a high-flux membrane.
Abstract
Background The effects of the dose of dialysis and the level of flux of the dialyzer membrane on mortality and morbidity among patients undergoing maintenance hemodialysis are uncertain. Methods We undertook a randomized clinical trial in 1846 patients undergoing thrice-weekly dialysis, using a two-by-two factorial design to assign patients randomly to a standard or high dose of dialysis and to a low-flux or high-flux dialyzer. Results In the standard-dose group, the mean (±SD) urea-reduction ratio was 66.3±2.5 percent, the single-pool Kt/V was 1.32±0.09, and the equilibrated Kt/V was 1.16±0.08; in the high-dose group, the values were 75.2±2.5 percent, 1.71±0.11, and 1.53±0.09, respectively. Flux, estimated on the basis of beta2-microglobulin clearance, was 3±7 ml per minute in the low-flux group and 34±11 ml per minute in the high-flux group. The primary outcome, death from any cause, was not significantly influenced by the dose or flux assignment: the relative risk of death in the high-dose group as com...

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Citations
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Journal Article

On-line hemodiafiltration: technique and efficiency.

TL;DR: A new mode of infusion in on-line HDF--the mixed infusion mode--is here described, which is able to achieve and maintain the maximum possible water and solute removal during the sessions through a feedback control of the transmembrane pressure.
Journal ArticleDOI

Dialysis session length (“t”) as a determinant of the adequacy of dialysis

TL;DR: Future studies should evaluate hemodialysis session length independent of efficiency, and should consider the evaluation of dose by using other clearance parameters and the adequacy of ultrafiltration in addition to solute kinetics.
Journal ArticleDOI

ESHOL study reanalysis: All-cause mortality considered by competing risks and time-dependent covariates for renal transplantation.

TL;DR: The original results of the ESHOL study, which censored patients discontinuing the study for any reason, were confirmed in the present ITT population without censures and when all-cause mortality was considered by time-dependent and competing risks for transplantation.

Haemodialysis treatment monitored on-line by ultra violet absorbance

Fredrik Uhlin
TL;DR: An optical method utilizing ultra violet (UV) absorbance for on-line monitoring of haemodialysis treatment for increased efficiency is described and evaluated.
Journal ArticleDOI

Incremental Hemodialysis: How I Do It

TL;DR: I have had a long and successful experience performing incremental dialysis (both peritoneal and hemodialysis) and share here my practice strategies and approaches for incrHD.
References
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Book ChapterDOI

Nonparametric Estimation from Incomplete Observations

TL;DR: In this article, the product-limit (PL) estimator was proposed to estimate the proportion of items in the population whose lifetimes would exceed t (in the absence of such losses), without making any assumption about the form of the function P(t).
Book ChapterDOI

Regression Models and Life-Tables

TL;DR: The analysis of censored failure times is considered in this paper, where the hazard function is taken to be a function of the explanatory variables and unknown regression coefficients multiplied by an arbitrary and unknown function of time.
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Generalized Linear Models

TL;DR: In this paper, a generalization of the analysis of variance is given for these models using log- likelihoods, illustrated by examples relating to four distributions; the Normal, Binomial (probit analysis, etc.), Poisson (contingency tables), and gamma (variance components).
Journal ArticleDOI

Generalized linear models. 2nd ed.

TL;DR: A class of statistical models that generalizes classical linear models-extending them to include many other models useful in statistical analysis, of particular interest for statisticians in medicine, biology, agriculture, social science, and engineering.
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