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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

A comparison of center-based vs. home-based daily hemodialysis for patients with end-stage renal disease.

TL;DR: Daily home hemodialysis with a small, easy‐to‐use he modialysis device is a viable dialysis option for end‐stage renal disease patients capable of self/partner‐administered dialysis.
Journal ArticleDOI

Renal Association Clinical Practice Guideline on Haemodialysis

TL;DR: This module provides an update of the 2007 RA clinical practice guidelines in HD and modification of the current guidelines whenever indicated by evidence from new studies, as well as highlighting the benefits of performing regular audit to improve clinical standards in HD.
Journal ArticleDOI

Antidepressants for treating depression in adults with end-stage kidney disease treated with dialysis.

TL;DR: Evidence for antidepressant medication in the dialysis setting is sparse and data are generally inconclusive, with few or no data for hospitalisation, suicide or all-cause mortality resulting in inconclusive evidence.
Journal ArticleDOI

The NxStage System One.

TL;DR: The NxStage System One as mentioned in this paper is an innovative, flexible device that delivers hemodialysis, hemofiltration, and/or ultrafiltration therapies to patients with renal failure or fluid overload.
Journal ArticleDOI

Dialyzers Designed to Increase Internal Filtration Do Not Result in Significantly Increased Platelet Activation and Thrombin Generation

TL;DR: Haemodialysis patients have an inflammatory phenoytype, characterized by increased activation of coagulation, platelets and also fibrinolysis, however, dialyzers designed to increase internal filtration did not significantly increase platelet activation or thrombin generation.
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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