Literature DB >> 14569099

Obesity is associated with worse peritoneal dialysis outcomes in the Australia and New Zealand patient populations.

Stephen P McDonald1, John F Collins, David W Johnson.   

Abstract

Although obesity is associated with increased risks of morbidity and death in the general population, a number of studies of patients undergoing hemodialysis have demonstrated that increasing body mass index (BMI) is correlated with decreased mortality risk. Whether this association holds true among patients treated with peritoneal dialysis (PD) has been less well studied. The aim of this investigation was to examine the association between BMI and outcomes among new PD patients in a large cohort, with long-term follow-up monitoring. Using data from the Australia and New Zealand Dialysis and Transplant Registry, an analysis of all new adult patients (n = 9679) who underwent an episode of PD treatment in Australia or New Zealand between April 1, 1991, and March 31, 2002, was performed. Patients were classified as obese (BMI of >/=30 kg/m(2)), overweight (BMI of 25.0 to 29.9 kg/m(2)), normal weight (BMI of 20 to 24.9 kg/m(2)), or underweight (BMI of <20 kg/m(2)). In multivariate analyses, obesity was independently associated with death during PD treatment (hazard ratio, 1.36; 95% confidence interval, 1.14 to 1.54; P < 0.05) and technique failure (hazard ratio, 1.17; 95% confidence interval, 1.07 to 1.26; P < 0.01), except among patients of New Zealand Maori/Pacific Islander origin, for whom there was no significant relationship between BMI and death during PD treatment. A supplementary fractional polynomial analysis modeled BMI as a continuous predictor and indicated a J-shaped relationship between BMI and patient mortality rates and a steady increase in death-censored technique failure rates up to a BMI of 40 kg/m(2); the mortality risk was lowest for BMI values of approximately 20 kg/m(2). In conclusion, obesity at the commencement of renal replacement therapy is a significant risk factor for death and technique failure. Such patients should be closely monitored during PD and should be considered for early transfer to an alternative renal replacement therapy if difficulties are experienced.

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Year:  2003        PMID: 14569099     DOI: 10.1097/01.asn.0000091587.55159.5f

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


  59 in total

Review 1.  Nutrition in patients on peritoneal dialysis.

Authors:  Seung-Hyeok Han; Dae-Suk Han
Journal:  Nat Rev Nephrol       Date:  2012-02-07       Impact factor: 28.314

2.  Risk factors associated with peritoneal dialysis catheter survival: a 9-year single-center study in 315 patients.

Authors:  Namita Singh; Ingemar Davidson; Abu Minhajuddin; Steven Gieser; Michael Nurenberg; Ramesh Saxena
Journal:  J Vasc Access       Date:  2010 Oct-Dec       Impact factor: 2.283

3.  Peritoneal dialysis outcomes in a modern cohort of overweight patients.

Authors:  Shubha Ananthakrishnan; Nigar Sekercioglu; Rosilene M Elias; Joseph Kim; Dimitrios Oreopoulos; Maggie Chu; Joanne M Bargman
Journal:  Int Urol Nephrol       Date:  2013-06-23       Impact factor: 2.370

4.  Effect of age and dialysis vintage on obesity paradox in long-term hemodialysis patients.

Authors:  Tania Vashistha; Rajnish Mehrotra; Jongha Park; Elani Streja; Ramnath Dukkipati; Allen R Nissenson; Jennie Z Ma; Csaba P Kovesdy; Kamyar Kalantar-Zadeh
Journal:  Am J Kidney Dis       Date:  2013-10-09       Impact factor: 8.860

5.  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

6.  Association of body mass index and uncontrolled blood pressure with cardiovascular mortality in peritoneal dialysis patients.

Authors:  Wei Li; Ricong Xu; Yating Wang; Jiani Shen; Zhijian Li; Xueqing Yu; Haiping Mao
Journal:  J Hum Hypertens       Date:  2018-09-12       Impact factor: 3.012

7.  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

8.  Effect of body mass index on outcomes of peritoneal dialysis patients in India.

Authors:  Narayan Prasad; Archana Sinha; Amit Gupta; Raj Kumar Sharma; Dharmendra Bhadauria; Abhilash Chandra; Kashi Nath Prasad; Anupama Kaul
Journal:  Perit Dial Int       Date:  2014-03-01       Impact factor: 1.756

Review 9.  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

10.  Timing, causes, predictors and prognosis of switching from peritoneal dialysis to hemodialysis: a prospective study.

Authors:  Bernard G Jaar; Laura C Plantinga; Deidra C Crews; Nancy E Fink; Nasser Hebah; Josef Coresh; Alan S Kliger; Neil R Powe
Journal:  BMC Nephrol       Date:  2009-02-06       Impact factor: 2.388

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