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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

Dose of dialysis: Key lessons from major observational studies and clinical trials

TL;DR: Data from observational studies, including the DOPPS, and from the HEMO Study are critically examined, emphasizing important lessons from both, and future paradigms for achieving dialysis adequacy to improve patient outcomes are discussed.
Journal ArticleDOI

Peptic ulcer disease risk in chronic kidney disease: ten-year incidence, ulcer location, and ulcerogenic effect of medications.

TL;DR: CKD patients have a substantially increased PUD risk, and the majority of CKD patients with PUD require hospital management, and peptic ulcer risk is affected by hemodialysis therapy, patient status, and ulcerogenic medications.
Journal ArticleDOI

Vitamin D in patients with renal failure: A summary of observational mortality studies and steps moving forward

TL;DR: Two recent large-scale studies of hemodialysis patients are examined: one that demonstrated a survival advantage of paricalcitol over calcitriol, and a second that demonstrates a significant survival advantage in any intravenous Vitamin D formulation versus none.
Journal ArticleDOI

Cost-Effectiveness of Frequent In-Center Hemodialysis

TL;DR: Given the extraordinarily high costs of the ESRD program, the viability of more frequent hemodialysis strategies depends on significant improvements in the economic model underlying the delivery of he modialysis.
Journal ArticleDOI

Evidence-Based Cardiology in Hemodialysis Patients

TL;DR: It is suggested that the management of cardiovascular disease in hemodialysis patients may require strategies that differ from the best practice guidelines applied to general population, and some interventions have produced similar outcomes and others have not.
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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