Literature DB >> 7579082

A comparison of mortality between patients treated with hemodialysis and peritoneal dialysis.

W E Bloembergen1, F K Port, E A Mauger, R A Wolfe.   

Abstract

Patients with ESRD treated with dialysis have a high mortality rate. Controversy exists as to whether this high mortality rate is affected by modality choice. The purpose of this epidemiologic study was to compare mortality in prevalent hemodialysis-treated (HD) and peritoneal dialysis-treated (PD) patients in a large national sample, adjusting for demographic characteristics. Data were obtained from the U.S. Renal Data System for patients prevalent on January 1 of the years 1987, 1988, and 1989, each with 1 yr of follow-up. Patients were censored at transplantation. Death rates per 100 patient years were compared between HD and PD, adjusting for age, race, gender, cause of ESRD (diabetes versus nondiabetes) and < 1 yr or > 1 yr of prior ESRD, by the use of Poisson regression. There were 42,372 deaths occurring over 170,700 patient years at risk. On average, prevalent patients treated with PD had a 19% higher adjusted mortality risk (relative risk (RR) = 1.19; P < 0.001) than did those treated with HD. This risk was found to be insignificant (P > 0.05) and small for ages < 55 and increasingly large and significant for ages > 55 yr. It was accentuated in diabetics (RR = 1.38; P < 0.001) but was also present in nondiabetics (RR = 1.11; P < 0.001). Although present in both males and females, this risk was accentuated in females (RR = 1.30 versus 1.11; both P < 0.001). In this national study of prevalent U.S. dialysis patients, treatment assignment to PD was associated with a 19% higher all-cause mortality rate than HD.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1995        PMID: 7579082     DOI: 10.1681/ASN.V62177

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   10.121


  27 in total

1.  The relation between nutrition indices and age in patients on continuous ambulatory peritoneal dialysis receiving similar small solute clearances.

Authors:  A H Tzamaloukas; D G Oreopoulos; G H Murata; K Servilla; P Rao; S Din; D Malhotra
Journal:  Int Urol Nephrol       Date:  2001       Impact factor: 2.370

2.  Relationship between dialysis modality and mortality.

Authors:  Stephen P McDonald; Mark R Marshall; David W Johnson; Kevan R Polkinghorne
Journal:  J Am Soc Nephrol       Date:  2008-12-17       Impact factor: 10.121

3.  Survival by Dialysis Modality-Who Cares?

Authors:  Martin B Lee; Joanne M Bargman
Journal:  Clin J Am Soc Nephrol       Date:  2016-02-11       Impact factor: 8.237

4.  Volume control in diabetic and nondiabetic peritoneal dialysis patients.

Authors:  Hong-bing Gan; Meng-hua Chen; Bengt Lindholm; Tao Wang
Journal:  Int Urol Nephrol       Date:  2005       Impact factor: 2.370

5.  It is not polite to ask a dialysis patient his age!

Authors:  Anuja Shah; Miklos Z Molnar; Kamyar Kalantar-Zadeh
Journal:  Int Urol Nephrol       Date:  2011-05-06       Impact factor: 2.370

6.  Evidence-Based Decision Making 7: Health Economics in Clinical Research.

Authors:  Braden J Manns
Journal:  Methods Mol Biol       Date:  2021

7.  Paying for Frequent Dialysis.

Authors:  Adam S Wilk; Richard A Hirth; Joseph M Messana
Journal:  Am J Kidney Dis       Date:  2019-03-25       Impact factor: 8.860

Review 8.  Economic evaluation of dialysis therapies.

Authors:  Scott W Klarenbach; Marcello Tonelli; Betty Chui; Braden J Manns
Journal:  Nat Rev Nephrol       Date:  2014-08-26       Impact factor: 28.314

9.  Dialysis: is it realistic to compare peritoneal dialysis and haemodialysis?

Authors:  Frederic O Finkelstein; Nathan W Levin
Journal:  Nat Rev Nephrol       Date:  2014-09-30       Impact factor: 28.314

Review 10.  The Current State of Peritoneal Dialysis.

Authors:  Rajnish Mehrotra; Olivier Devuyst; Simon J Davies; David W Johnson
Journal:  J Am Soc Nephrol       Date:  2016-06-23       Impact factor: 10.121

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