Literature DB >> 8007587

Continuous ambulatory peritoneal dialysis and hemodialysis: comparison of patient mortality with adjustment for comorbid conditions.

P J Held1, F K Port, M N Turenne, D S Gaylin, R J Hamburger, R A Wolfe.   

Abstract

A historical prospective national sample of 1,725 diabetic and 2,411 non-diabetic Medicare end-stage renal disease (ESRD) patients incident from 1986 to 1987 was analyzed for the mortality of patients selected to receive continuous ambulatory peritoneal dialysis (CAPD) or hemodialysis (HD) with adjustment for patient characteristics, including the presence of comorbid conditions at onset of ESRD. Cox proportional hazards analyses were used to compare the mortality of CAPD and HD patients. Patients were followed from 30 days following onset of ESRD until two to four years post-onset. No statistically significant difference in relative mortality risk (RR) was found among non-diabetic patients selected for CAPD compared to HD (RR = 0.84 for CAPD versus HD, P = 0.25), while evidence of higher adjusted mortality for CAPD compared to HD was found among diabetic patients (RR = 1.26, P = 0.03). Mortality analyses adjusted for pre-treatment risk factors suggest that CAPD and HD provide incident non-diabetic ESRD patients with similar expected survival outcomes. Evidence that increased mortality was associated with CAPD among diabetic patients, particularly among elderly patients, suggests the need for further controlled studies of mortality among CAPD patients with diabetes.

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Year:  1994        PMID: 8007587     DOI: 10.1038/ki.1994.154

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  16 in total

1.  Relationship between dialysis modality and mortality.

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2.  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

3.  Use of home hemodialysis after peritoneal dialysis technique failure.

Authors:  Davide P Cinà; Niki Dacouris; Mina Kashani; Beth Unana; Ramona Cook; Jason Fung; Julia Delacruz; Aaron P Zaltzman; Philip A McFarlane; Jeffrey Perl
Journal:  Perit Dial Int       Date:  2013 Jan-Feb       Impact factor: 1.756

4.  Impact of dialysis modality on survival after kidney transplant failure.

Authors:  Jeffrey Perl; Omar Hasan; Joanne M Bargman; Depeng Jiang; Yingbo Na; John S Gill; S Vanita Jassal
Journal:  Clin J Am Soc Nephrol       Date:  2011-01-13       Impact factor: 8.237

5.  How much better can we predict dialysis patient survival using clinical data?

Authors:  D E Mesler; S Byrne-Logan; E P McCarthy; A S Ash; M A Moskowitz
Journal:  Health Serv Res       Date:  1999-04       Impact factor: 3.402

6.  Cardiac disease in diabetic end-stage renal disease.

Authors:  R N Foley; B F Culleton; P S Parfrey; J D Harnett; G M Kent; D C Murray; P E Barre
Journal:  Diabetologia       Date:  1997-11       Impact factor: 10.122

7.  Propensity scores in the presence of effect modification: A case study using the comparison of mortality on hemodialysis versus peritoneal dialysis.

Authors:  Ylian S Liem; John B Wong; Mg Myriam Hunink; Frank Th de Charro; Wolfgang C Winkelmayer
Journal:  Emerg Themes Epidemiol       Date:  2010-05-11

8.  Comparisons of hemodialysis and CAPD in patients over 65 years of age: a meta-analysis.

Authors:  R Selgas; A Cirugeda; A Fernandez-Perpén; J A Sánchez-Tomero; G Barril; V Alvarez; M A Bajo
Journal:  Int Urol Nephrol       Date:  2001       Impact factor: 2.370

Review 9.  Home dialysis as a first option: a new paradigm.

Authors:  Dimitrios G Oreopoulos; Elias Thodis; Ploumis Passadakis; Vassilis Vargemezis
Journal:  Int Urol Nephrol       Date:  2009-05-09       Impact factor: 2.370

10.  Association of dialysis modality and cardiovascular mortality in incident dialysis patients.

Authors:  David W Johnson; Hannah Dent; Carmel M Hawley; Stephen P McDonald; Johan B Rosman; Fiona G Brown; Kym Bannister; Kathryn J Wiggins
Journal:  Clin J Am Soc Nephrol       Date:  2009-09-03       Impact factor: 8.237

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