Literature DB >> 17171411

Reverse epidemiology in peritoneal dialysis patients: the Canadian experience and review of the literature.

T Pliakogiannis1, L Trpeski, H Taskapan, H Shah, M Ahmad, S Fenton, J Bargman, D Oreopoulos.   

Abstract

High Body Mass Index (BMI) has been associated with improved survival of End-Stage Renal Disease (ESRD) patients on chronic hemodialysis (HD); however, studies on the relationship of BMI with survival in Peritoneal Dialysis (PD) patients have yielded conflicting results. The purpose of this study was to evaluate the impact of BMI on survival of Canadian ESRD patients on PD, correcting for their age, sex, race, diabetes mellitus, and arterial hypertension. In an intent to treat study, we reviewed data of the Canadian Organ Replacement Register (CORR), of incident patients, starting PD between 1994 and 1998 and followed up from their initial PD treatment to the end of 2003. Patients were censored at loss to follow up, transplantation, and the end of the observation period. Cox regression (multivariate) analysis was performed and adjustments were made for age, gender, race, primary renal disease and BMI. During these years, 4054 patients commenced PD, 1742 (43%) of them were females and 1471 (36.3%) were diabetics. The majority were Caucasians (n=3058, 75.4%); 120 (3%) belonged to the First Nations, 137 (3.4%) were black, and the rest (739 pts-18.2%) belonged to various other ethnicities. Based on quartiles of the BMI distribution, 1130 patients (28%) had a BMI < 18.5 kg/m(2); 1163 (28.7%), 18.5-24.9 kg/m(2); 1214 (30%), 25-29.9 kg/m(2); 547 (13.5%) > 30 kg/m(2). Intent to treat Cox regression analysis showed that being underweight was a strong risk factor for death. Specifically, a BMI less than 18.5 was associated with a death hazard ratio (HR) 1.3, (CI: 1.1-1.6). On the contrary, BMI > 30 was not associated with worse survival than those with normal BMI (HR = 1.009, CI = 0.89-1.14). High-BMI patients should not be discouraged from PD just because of their size.

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Year:  2006        PMID: 17171411     DOI: 10.1007/s11255-006-9142-1

Source DB:  PubMed          Journal:  Int Urol Nephrol        ISSN: 0301-1623            Impact factor:   2.266


  43 in total

Review 1.  Epidemiology of cardiovascular risk factors in chronic renal disease.

Authors:  J Coresh; J C Longenecker; E R Miller; H J Young; M J Klag
Journal:  J Am Soc Nephrol       Date:  1998-12       Impact factor: 10.121

Review 2.  Clinical epidemiology of cardiovascular disease in chronic renal disease.

Authors:  R N Foley; P S Parfrey; M J Sarnak
Journal:  Am J Kidney Dis       Date:  1998-11       Impact factor: 8.860

3.  Large body mass index does not predict short-term survival in peritoneal dialysis patients.

Authors:  Nabeel Aslam; Judith Bernardini; Linda Fried; Beth Piraino
Journal:  Perit Dial Int       Date:  2002 Mar-Apr       Impact factor: 1.756

4.  Neither size nor weight predicts survival in peritoneal dialysis patients.

Authors:  L Fried; J Bernardini; B Piraino
Journal:  Perit Dial Int       Date:  1996 Jul-Aug       Impact factor: 1.756

5.  Body mass index as a predictor of continued survival in older chronic dialysis patients.

Authors:  N G Kutner; R Zhang
Journal:  Int Urol Nephrol       Date:  2001       Impact factor: 2.370

6.  Overweight as another nutritional risk factor for the long-term survival of non-diabetic hemodialysis patients.

Authors:  Y Kaizu; Y Tsunega; T Yoneyama; T Sakao; I Hibi; K Miyaji; H Kumagai
Journal:  Clin Nephrol       Date:  1998-07       Impact factor: 0.975

7.  "U" curve association of blood pressure and mortality in hemodialysis patients. Medical Directors of Dialysis Clinic, Inc.

Authors:  P G Zager; J Nikolic; R H Brown; M A Campbell; W C Hunt; D Peterson; J Van Stone; A Levey; K B Meyer; M J Klag; H K Johnson; E Clark; J H Sadler; P Teredesai
Journal:  Kidney Int       Date:  1998-08       Impact factor: 10.612

8.  Body mass index, dialysis modality, and survival: analysis of the United States Renal Data System Dialysis Morbidity and Mortality Wave II Study.

Authors:  Kevin C Abbott; Christopher W Glanton; Fernando C Trespalacios; David K Oliver; Maria I Ortiz; Lawrence Y Agodoa; David F Cruess; Paul L Kimmel
Journal:  Kidney Int       Date:  2004-02       Impact factor: 10.612

9.  Simple nutritional indicators as independent predictors of mortality in hemodialysis patients.

Authors:  S F Leavey; R L Strawderman; C A Jones; F K Port; P J Held
Journal:  Am J Kidney Dis       Date:  1998-06       Impact factor: 8.860

10.  Mortality risk factors in patients treated by chronic hemodialysis. Report of the Diaphane collaborative study.

Authors:  P Degoulet; M Legrain; I Réach; F Aimé; C Devriés; P Rojas; C Jacobs
Journal:  Nephron       Date:  1982       Impact factor: 2.847

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  14 in total

1.  Peritoneal dialysis in the nursing home.

Authors:  Hulya Taskapan; Paul Tam; Denise Leblanc; Robert H Ting; Gordon R Nagai; Stephen S Chow; Jason Fung; Paul S Ng; Tabo Sikaneta; Janet Roscoe; Dimitrios G Oreopoulos
Journal:  Int Urol Nephrol       Date:  2010-02-23       Impact factor: 2.370

2.  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

3.  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

Review 4.  Association of Body Mass Index With Mortality in Peritoneal Dialysis Patients: A Systematic Review and Meta-Analysis.

Authors:  Seyed-Foad Ahmadi; Golara Zahmatkesh; Elani Streja; Rajnish Mehrotra; Connie M Rhee; Csaba P Kovesdy; Daniel L Gillen; Emad Ahmadi; Gregg C Fonarow; Kamyar Kalantar-Zadeh
Journal:  Perit Dial Int       Date:  2015-10-16       Impact factor: 1.756

Review 5.  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

6.  Impact of obesity on the evolution of outcomes in peritoneal dialysis patients.

Authors:  Maria Quero; Jordi Comas; Emma Arcos; Miguel Hueso; Diego Sandoval; Nuria Montero; Pau Cruzado-Boix; Josep M Cruzado; Inés Rama
Journal:  Clin Kidney J       Date:  2020-08-16

Review 7.  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

8.  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

9.  Waist-to-Hip Ratio, Cardiovascular Outcomes, and Death in Peritoneal Dialysis Patients.

Authors:  Winnie S Su; Catherine M Clase; K Scott Brimble; Peter J Margetts; Trevor J Wilkieson; Azim S Gangji
Journal:  Int J Nephrol       Date:  2010-07-05

10.  Body size and longitudinal body weight changes do not increase mortality in incident peritoneal dialysis patients of the Brazilian peritoneal dialysis multicenter study.

Authors:  Natália Maria da Silva Fernandes; Marcus Gomes Bastos; Márcia Regina Gianotti Franco; Alfredo Chaoubah; Maria da Glória Lima; José Carolino Divino-Filho; Abdul Rashid Qureshi
Journal:  Clinics (Sao Paulo)       Date:  2013-01       Impact factor: 2.365

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