Literature DB >> 19494605

Is obesity associated with a survival advantage in patients starting peritoneal dialysis?

Renée de Mutsert, Diana C Grootendorst, Elisabeth W Boeschoten, Friedo W Dekker, Raymond T Krediet.   

Abstract

BACKGROUND: Obesity has been found to be associated with a survival advantage in hemodialysis patients. Results from studies in peritoneal dialysis (PD) patients are inconsistent. The aim of this paper was to study the association between obesity and mortality in the PD population in the Netherlands Co-operative Study on the Adequacy of Dialysis-2 (NECOSAD) cohort and critically discuss the observational data from an epidemiological perspective.
METHODS: Patients starting PD were selected from the Netherlands Co-operative Study on the Adequacy of Dialysis-2 (NECOSAD), a prospective cohort study in incident dialysis patients in The Netherlands and followed for 5 years. Cox regression analysis was used to calculate relative risk of mortality (hazard ratios (HR) with 95% CIs) of baseline and time-dependent BMI, with a BMI of 18.5-25 as the reference.
RESULTS: In total, 688 patients with end-stage renal disease starting with PD were included (66% men, age: 53 +/- 15 years, BMI: 24.6 +/- 3.8 kg/m2). At the start of dialysis, 8.4% of the patients were obese (BMI > or =30). Compared with a normal BMI, obesity at the start of PD (BMI > or =30) was associated with a HR of 0.8 (0.5, 1.3). Time-dependently, this was 0.7 (0.4, 1.2). The HR of BMI < 18.5 at the start of PD was 1.3 (95% CI: 0.4, 3.2), and time-dependently this was 2.3 (1.0, 5.3).
CONCLUSION: Observational data suggest that PD patients who are obese at the start of dialysis do not have a worse survival compared with PD patients with a normal BMI. PD patients with a low BMI during dialysis have a twofold increased mortality risk. However, it can be argued to what extent the observed association between BMI and mortality in the dialysis population can be causally interpreted.

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Year:  2009        PMID: 19494605     DOI: 10.1159/000223790

Source DB:  PubMed          Journal:  Contrib Nephrol        ISSN: 0302-5144            Impact factor:   1.580


  18 in total

1.  Extremes of body mass index and mortality among Asian peritoneal dialysis patients.

Authors:  Sharon J Nessim
Journal:  Perit Dial Int       Date:  2014-06       Impact factor: 1.756

2.  Impact of Obesity on Modality Longevity, Residual Kidney Function, Peritonitis, and Survival Among Incident Peritoneal Dialysis Patients.

Authors:  Yoshitsugu Obi; Elani Streja; Rajnish Mehrotra; Matthew B Rivara; Connie M Rhee; Melissa Soohoo; Daniel L Gillen; Wei-Ling Lau; Csaba P Kovesdy; Kamyar Kalantar-Zadeh
Journal:  Am J Kidney Dis       Date:  2017-12-07       Impact factor: 8.860

Review 3.  Obesity Paradox in Advanced Kidney Disease: From Bedside to the Bench.

Authors:  Neda Naderi; Carola-Ellen Kleine; Christina Park; Jui-Ting Hsiung; Melissa Soohoo; Ekamol Tantisattamo; Elani Streja; Kamyar Kalantar-Zadeh; Hamid Moradi
Journal:  Prog Cardiovasc Dis       Date:  2018-07-04       Impact factor: 8.194

Review 4.  Cardiovascular risk in the peritoneal dialysis patient.

Authors:  Raymond T Krediet; Olga Balafa
Journal:  Nat Rev Nephrol       Date:  2010-06-22       Impact factor: 28.314

5.  The association between body mass index and mortality on peritoneal dialysis: a prospective cohort study.

Authors:  Yong Kyun Kim; Su-Hyun Kim; Hyung Wook Kim; Young Ok Kim; Dong Chan Jin; Ho Chul Song; Euy Jin Choi; Yong-Lim Kim; Yon-Su Kim; Shin-Wook Kang; Nam-Ho Kim; Chul Woo Yang
Journal:  Perit Dial Int       Date:  2014-03-01       Impact factor: 1.756

Review 6.  Obesity paradox in end-stage kidney disease patients.

Authors:  Jongha Park; Seyed-Foad Ahmadi; Elani Streja; Miklos Z Molnar; Katherine M Flegal; Daniel Gillen; Csaba P Kovesdy; Kamyar Kalantar-Zadeh
Journal:  Prog Cardiovasc Dis       Date:  2013-10-09       Impact factor: 8.194

Review 7.  Peritoneal dialysis--current status and future challenges.

Authors:  Simon J Davies
Journal:  Nat Rev Nephrol       Date:  2013-05-21       Impact factor: 28.314

8.  Association of Alternative Approaches to Normalizing Peritoneal Dialysis Clearance with Mortality and Technique Failure: A Retrospective Analysis Using the United States Renal Data System-Dialysis Morbidity and Mortality Study, Wave 2.

Authors:  Suzanne M Boyle; Yimei Li; F Perry Wilson; Joel D Glickman; Harold I Feldman
Journal:  Perit Dial Int       Date:  2016-09-28       Impact factor: 1.756

9.  Body mass index and mortality risk in Asian peritoneal dialysis patients in Hong Kong-impact of diabetes and cardiovascular disease status.

Authors:  Verukonda Ravi Kiran; Tong Ying Zhu; Terence Yip; Sing Leung Lui; Wai Kei Lo
Journal:  Perit Dial Int       Date:  2014-02-04       Impact factor: 1.756

10.  Comparison of patient survival between hemodialysis and peritoneal dialysis in a single Chinese center.

Authors:  Bei Wu; Mei Wang; Liangying Gan; Huiping Zhao
Journal:  Int Urol Nephrol       Date:  2014-09-16       Impact factor: 2.370

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