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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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Journal ArticleDOI

Effect of Membrane Permeability on Survival of Hemodialysis Patients

TL;DR: The use of high-flux membranes conferred a significant survival benefit among patients with serum albumin < or = 4 g/dl, but the apparent survival Benefit among patients who have diabetes and are treated with high- flux membranes requires confirmation given the post hoc nature of the analysis.
Journal ArticleDOI

Free serum concentrations of the protein-bound retention solute p-cresol predict mortality in hemodialysis patients

TL;DR: The data suggest that free serum levels of p-cresol, a representative of the protein-bound uremic retention solutes, are associated with mortality in HD patients, and may encourage nephrologists to widen their field of interest beyond the scope of small water-soluble ureming solutes and middle molecules.
Journal ArticleDOI

Confounding: What it is and how to deal with it

TL;DR: This paper explains that to be a potential confounder, a variable needs to satisfy all three of the following criteria: it must have an association with the disease, that is, it should be a risk factor for the disease; it must be associated with the exposure, and it Must be unequally distributed between exposure groups.
Journal ArticleDOI

Left Ventricular Mass in Chronic Kidney Disease and ESRD

TL;DR: A new paradigm of therapy for CKD and ESRD that places prevention and reversal of LVH and cardiac fibrosis as a high priority is needed, which will require novel approaches to management and controlled interventional trials to provide evidence to fuel the transition from old to new treatment strategies.
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.
Book

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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