Literature DB >> 17699286

Mortality by dialysis modality among patients who have end-stage renal disease and are awaiting renal transplantation.

Jula K Inrig1, Jie L Sun, Qinghong Yang, Libbie P Briley, Lynda A Szczech.   

Abstract

Comparing outcomes related to dialysis modality is complicated by selection bias introduced by patients and physicians. To address the impact of selection bias, this study compared mortality by initial dialysis modality among patients who had ESRD and were placed on the transplant waiting list. This study was a historical prospective cohort of 12,568 patients in the United States who initiated dialysis between May 1, 1995, and October 31, 1998, and were placed on the transplant waiting list before dialysis initiation. Two-year mortality was compared using Kaplan-Meier curves and Cox proportional hazards models that analyzed patients primarily using an intention-to-treat approach and separately censored patients on a modality switch. At 2 yr, the unadjusted mortality rate was 6.6% among peritoneal dialysis (PD) patients compared with 6.9% among hemodialysis (HD) patients (hazard ratio [HR] 1.01; 95% confidence interval [CI] 0.82 to 1.23). After controlling for differences in baseline characteristics, comorbidities, and laboratory variables, the selection of PD versus HD remained associated with a similar 2-yr mortality risk (HR 1.03; 95% CI 0.83 to 1.28). In separate models, 2-yr mortality associated with PD versus HD was significant among patients with body mass index (BMI) > or = 26 kg/m2 (HR 1.37; 95% CI 1.01 to 1.83) but not among patients with BMI < 26 kg/m2 (HR 0.81; 95% CI 0.61 to 1.07). Results were similar after censoring on a modality switch. In conclusion, although choice of initial dialysis modality seems to be associated with equivalent outcomes among patients who have ESRD and are placed on the transplant waiting list, patients with BMI > or = 26 kg/m2 have increased 2-yr mortality associated with the selection of PD versus HD. Because the interpretation of observational data is highly affected by residual confounding and selection bias, further efforts should focus on the formation and testing of hypotheses to improve dialysis delivery.

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Year:  2006        PMID: 17699286     DOI: 10.2215/CJN.00580705

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


  13 in total

1.  Elevated non-high-density lipoprotein cholesterol (non-HDL-C) predicts atherosclerotic cardiovascular events in hemodialysis patients.

Authors:  Tetsuo Shoji; Ikuto Masakane; Yuzo Watanabe; Kunitoshi Iseki; Yoshiharu Tsubakihara
Journal:  Clin J Am Soc Nephrol       Date:  2011-04-21       Impact factor: 8.237

2.  Hemodialysis vascular access modifies the association between dialysis modality and survival.

Authors:  Jeffrey Perl; Ron Wald; Philip McFarlane; Joanne M Bargman; Edward Vonesh; Yingbo Na; S Vanita Jassal; Louise Moist
Journal:  J Am Soc Nephrol       Date:  2011-04-21       Impact factor: 10.121

3.  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

4.  Is dialysis modality a factor in the survival of patients initiating dialysis after kidney transplant failure?

Authors:  Jeffrey Perl; James Dong; Caren Rose; Sarbjit Vanita Jassal; John S Gill
Journal:  Perit Dial Int       Date:  2013-10-01       Impact factor: 1.756

5.  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

6.  Propensity-matched mortality comparison of incident hemodialysis and peritoneal dialysis patients.

Authors:  Eric D Weinhandl; Robert N Foley; David T Gilbertson; Thomas J Arneson; Jon J Snyder; Allan J Collins
Journal:  J Am Soc Nephrol       Date:  2010-02-04       Impact factor: 10.121

Review 7.  The Role of Peritoneal Dialysis in Different Phases of Kidney Transplantation.

Authors:  Ali I Gardezi; Fahad Aziz; Sandesh Parajuli
Journal:  Kidney360       Date:  2022-02-28

8.  Incremental peritoneal dialysis favourably compares with hemodialysis as a bridge to renal transplantation.

Authors:  Alessandro Domenici; Maria Cristina Comunian; Loredana Fazzari; Francesca Sivo; Angela Dinnella; Barbara Della Grotta; Giorgio Punzo; Paolo Menè
Journal:  Int J Nephrol       Date:  2011-09-15

9.  Dialyzer Reuse and Outcomes of High Flux Dialysis.

Authors:  Christos Argyropoulos; Maria-Eleni Roumelioti; Abdus Sattar; John A Kellum; Lisa Weissfeld; Mark L Unruh
Journal:  PLoS One       Date:  2015-06-09       Impact factor: 3.240

10.  Increased risk of mortality among haemodialysis patients with or without prior stroke: a nationwide population-based study in Taiwan.

Authors:  Chih-Chiang Chien; Yih-Min Sun; Jhi-Joung Wang; Chin-Chen Chu; Chin-Li Lu; Shih-Feng Wang; Jyh-Chang Hwang; Hsien-Yi Wang; Wei-Chih Kan; Yi-Hua Lu; Hung-An Chen; Chung-Ching Chio; Kao-Chang Lin; Chiou-Chuen Wu
Journal:  Indian J Med Res       Date:  2013       Impact factor: 2.375

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