Literature DB >> 26068181

An Incident Cohort Study Comparing Survival on Home Hemodialysis and Peritoneal Dialysis (Australia and New Zealand Dialysis and Transplantation Registry).

Annie-Claire Nadeau-Fredette1, Carmel M Hawley2, Elaine M Pascoe3, Christopher T Chan4, Philip A Clayton5, Kevan R Polkinghorne6, Neil Boudville7, Martine Leblanc8, David W Johnson9.   

Abstract

BACKGROUND AND OBJECTIVES: Home dialysis is often recognized as a first-choice therapy for patients initiating dialysis. However, studies comparing clinical outcomes between peritoneal dialysis and home hemodialysis have been very limited. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: This Australia and New Zealand Dialysis and Transplantation Registry study assessed all Australian and New Zealand adult patients receiving home dialysis on day 90 after initiation of RRT between 2000 and 2012. The primary outcome was overall survival. The secondary outcomes were on-treatment survival, patient and technique survival, and death-censored technique survival. All results were adjusted with three prespecified models: multivariable Cox proportional hazards model (main model), propensity score quintile-stratified model, and propensity score-matched model.
RESULTS: The study included 10,710 patients on incident peritoneal dialysis and 706 patients on incident home hemodialysis. Treatment with home hemodialysis was associated with better patient survival than treatment with peritoneal dialysis (5-year survival: 85% versus 44%, respectively; log-rank P<0.001). Using multivariable Cox proportional hazards analysis, home hemodialysis was associated with superior patient survival (hazard ratio for overall death, 0.47; 95% confidence interval, 0.38 to 0.59) as well as better on-treatment survival (hazard ratio for on-treatment death, 0.34; 95% confidence interval, 0.26 to 0.45), composite patient and technique survival (hazard ratio for death or technique failure, 0.34; 95% confidence interval, 0.29 to 0.40), and death-censored technique survival (hazard ratio for technique failure, 0.34; 95% confidence interval, 0.28 to 0.41). Similar results were obtained with the propensity score models as well as sensitivity analyses using competing risks models and different definitions for technique failure and lag period after modality switch, during which events were attributed to the initial modality.
CONCLUSIONS: Home hemodialysis was associated with superior patient and technique survival compared with peritoneal dialysis.
Copyright © 2015 by the American Society of Nephrology.

Entities:  

Keywords:  hemodialysis; peritoneal dialysis; survival

Mesh:

Year:  2015        PMID: 26068181      PMCID: PMC4527016          DOI: 10.2215/CJN.00840115

Source DB:  PubMed          Journal:  Clin J Am Soc Nephrol        ISSN: 1555-9041            Impact factor:   8.237


  55 in total

1.  Hemodialysis and peritoneal dialysis are associated with similar outcomes for end-stage renal disease treatment in Canada.

Authors:  Karen Yeates; Naisu Zhu; Edward Vonesh; Lilyanna Trpeski; Peter Blake; Stanley Fenton
Journal:  Nephrol Dial Transplant       Date:  2012-03-05       Impact factor: 5.992

2.  Similar outcomes with hemodialysis and peritoneal dialysis in patients with end-stage renal disease.

Authors:  Rajnish Mehrotra; Yi-Wen Chiu; Kamyar Kalantar-Zadeh; Joanne Bargman; Edward Vonesh
Journal:  Arch Intern Med       Date:  2010-09-27

3.  Systematic differences among patients initiated on home haemodialysis and peritoneal dialysis: the fallacy of potential competition.

Authors:  Jean-Philippe Rioux; Joanne M Bargman; Christopher T Chan
Journal:  Nephrol Dial Transplant       Date:  2010-03-31       Impact factor: 5.992

4.  Outcomes in patients on home haemodialysis in England and Wales, 1997-2005: a comparative cohort analysis.

Authors:  Dorothea Nitsch; Retha Steenkamp; Charles R V Tomson; Paul Roderick; David Ansell; Mark S MacGregor
Journal:  Nephrol Dial Transplant       Date:  2010-09-14       Impact factor: 5.992

5.  Comparison of extracellular volume and blood pressure in hemodialysis and peritoneal dialysis patients.

Authors:  Yi-Chou Chen; Cheng-Jui Lin; Chih-Jen Wu; Han-Hsiang Chen; Jui-Chi Yeh
Journal:  Nephron Clin Pract       Date:  2009-07-14

6.  Survival and hospitalization among patients using nocturnal and short daily compared to conventional hemodialysis: a USRDS study.

Authors:  Kirsten L Johansen; Rebecca Zhang; Yijian Huang; Shu-Cheng Chen; Christopher R Blagg; Alexander S Goldfarb-Rumyantzev; Chistopher D Hoy; Robert S Lockridge; Brent W Miller; Paul W Eggers; Nancy G Kutner
Journal:  Kidney Int       Date:  2009-08-19       Impact factor: 10.612

7.  The effects of nocturnal compared with conventional hemodialysis on mineral metabolism: A randomized-controlled trial.

Authors:  Michael Walsh; Braden J Manns; Scott Klarenbach; Marcello Tonelli; Brenda Hemmelgarn; Bruce Culleton
Journal:  Hemodial Int       Date:  2009-12-22       Impact factor: 1.812

Review 8.  The changing landscape of home dialysis in the United States.

Authors:  Matthew B Rivara; Rajnish Mehrotra
Journal:  Curr Opin Nephrol Hypertens       Date:  2014-11       Impact factor: 2.894

9.  Chronic kidney disease and automatic reporting of estimated glomerular filtration rate: revised recommendations.

Authors:  Timothy H Mathew; David W Johnson; Graham R D Jones
Journal:  Med J Aust       Date:  2007-10-15       Impact factor: 7.738

10.  The risk of hospitalization and modality failure with home dialysis.

Authors:  Rita S Suri; Lihua Li; Gihad E Nesrallah
Journal:  Kidney Int       Date:  2015-03-18       Impact factor: 10.612

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  13 in total

1.  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

2.  Quality Assurance Audit of Technique Failure and 90-Day Mortality after Program Discharge in a Canadian Home Hemodialysis Program.

Authors:  Nikhil Shah; Frances Reintjes; Mark Courtney; Scott W Klarenbach; Feng Ye; Kara Schick-Makaroff; Kailash Jindal; Robert P Pauly
Journal:  Clin J Am Soc Nephrol       Date:  2017-07-24       Impact factor: 8.237

3.  Home Hemodialysis and Peritoneal Dialysis Patient and Technique Survival in Canada.

Authors:  Annie-Claire Nadeau-Fredette; Karthik K Tennankore; Jeffrey Perl; Joanne M Bargman; David W Johnson; Christopher T Chan
Journal:  Kidney Int Rep       Date:  2020-08-26

4.  Improved long-term survival with home hemodialysis compared with institutional hemodialysis and peritoneal dialysis: a matched cohort study.

Authors:  Helena Rydell; Kerstin Ivarsson; Martin Almquist; Mårten Segelmark; Naomi Clyne
Journal:  BMC Nephrol       Date:  2019-02-13       Impact factor: 2.388

Review 5.  Survival Comparisons of Home Dialysis Versus In-Center Hemodialysis: A Narrative Review.

Authors:  Amanda J Vinson; Jeffrey Perl; Karthik K Tennankore
Journal:  Can J Kidney Health Dis       Date:  2019-07-13

6.  Analysis of outcome and factors correlated with maintenance peritoneal dialysis.

Authors:  Min Li; Jin Yan; Hao Zhang; Qiongying Wu; Jianwen Wang; Jishi Liu; Chengling Xing; Yuqiong Zhou
Journal:  J Int Med Res       Date:  2019-08-26       Impact factor: 1.671

7.  Comparative effectiveness of home dialysis therapies: a matched cohort study.

Authors:  Gihad E Nesrallah; Lihua Li; Rita S Suri
Journal:  Can J Kidney Health Dis       Date:  2016-03-20

Review 8.  Optimization of Dialysis Modality Transitions for Improved Patient Care.

Authors:  Benoit Imbeault; Annie-Claire Nadeau-Fredette
Journal:  Can J Kidney Health Dis       Date:  2019-10-16

Review 9.  Integrated care: enhancing transition from renal replacement therapy options to home haemodialysis.

Authors:  Maria Fernanda Slon Roblero; Natalie Borman; Maria Auxiliadora Bajo Rubio
Journal:  Clin Kidney J       Date:  2019-11-18

10.  Fewer hospitalizations and prolonged technique survival with home hemodialysis- a matched cohort study from the Swedish Renal Registry.

Authors:  Helena Rydell; Kerstin Ivarsson; Martin Almquist; Naomi Clyne; Mårten Segelmark
Journal:  BMC Nephrol       Date:  2019-12-30       Impact factor: 2.388

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