Literature DB >> 23378474

Does body fat mass define survival in patients starting peritoneal dialysis?

Soo Jeong Choi1, Eun Jung Kim1, Moo Yong Park1, Jin Kuk Kim1, Seung Duk Hwang1.   

Abstract

BACKGROUND AND AIMS: Peritoneal dialysis (PD) is characterized by a gain in fat mass. Unlike subcutaneous fat, visceral fat is associated with metabolic syndrome and survival. We prospectively examined whether visceral or subcutaneous fat could predict outcome in patients undergoing PD.
METHODS: We studied 117 new patients (57 men) undergoing PD between February 2006 and November 2011. Baseline body composition was measured on computed tomograms. Visceral obesity was defined as a visceral fat area exceeding 100 cm(2), and subcutaneous obesity, as a subcutaneous fat area exceeding 130 cm(2).
RESULTS: Among the 117 patients, 37 and 29 were diagnosed with visceral and subcutaneous obesity respectively. Visceral and subcutaneous obesity were both present in 21 patients. In the study population, the 1-year and 5-year survival rates were 94% and 59%. The rates of peritonitis and exit-infection were 0.31 and 0.14 episodes per patient-year. Mortality was greater in patients with visceral obesity than in those without visceral obesity (p = 0.005). Visceral obesity had no influence on peritonitis and exit-infection rates. Subcutaneous obesity was associated neither with survival nor with peritonitis or exit-site infection. In a multivariate Cox regression analysis, visceral obesity was not a risk factor for poor outcome.
CONCLUSIONS: Increased visceral fat at PD initiation is not an independent predictor of poor survival. Any impact of visceral or subcutaneous fat mass on outcomes in patients undergoing PD would be better defined by larger, long-term studies.
Copyright © 2014 International Society for Peritoneal Dialysis.

Entities:  

Keywords:  Body composition

Mesh:

Year:  2013        PMID: 23378474      PMCID: PMC4079483          DOI: 10.3747/pdi.2011.00152

Source DB:  PubMed          Journal:  Perit Dial Int        ISSN: 0896-8608            Impact factor:   1.756


  31 in total

1.  Body size and outcomes on peritoneal dialysis in the United States.

Authors:  Jon J Snyder; Robert N Foley; David T Gilbertson; Edward F Vonesh; Allan J Collins
Journal:  Kidney Int       Date:  2003-11       Impact factor: 10.612

2.  The role of abdominal adiposity and insulin resistance in dyslipidemia of chronic renal failure.

Authors:  P Lee; D O'Neal; B Murphy; J Best
Journal:  Am J Kidney Dis       Date:  1997-01       Impact factor: 8.860

Review 3.  Techniques for the measurement of visceral fat: a practical guide.

Authors:  K van der Kooy; J C Seidell
Journal:  Int J Obes Relat Metab Disord       Date:  1993-04

4.  Adequacy of dialysis and nutrition in continuous peritoneal dialysis: association with clinical outcomes. Canada-USA (CANUSA) Peritoneal Dialysis Study Group.

Authors: 
Journal:  J Am Soc Nephrol       Date:  1996-02       Impact factor: 10.121

5.  Evening heart rate measured at home is associated with visceral obesity and abnormal fat distribution in patients with hypertension.

Authors:  Yuichiro Yano; Hajime Haimoto; Satoshi Hoshide; Tomoyuki Kabutoya; Kazuo Eguchi; Kazuomi Kario
Journal:  Am J Hypertens       Date:  2011-03-31       Impact factor: 2.689

6.  The effect of body weight on CAPD related infections and catheter loss.

Authors:  B Piraino; J Bernardini; P K Centa; J R Johnston; M I Sorkin
Journal:  Perit Dial Int       Date:  1991       Impact factor: 1.756

7.  Exit-site healing post catheter implantation.

Authors:  Z J Twardowski; B F Prowant
Journal:  Perit Dial Int       Date:  1996       Impact factor: 1.756

8.  Differential gene expression between visceral and subcutaneous fat depots.

Authors:  G Atzmon; X M Yang; R Muzumdar; X H Ma; I Gabriely; N Barzilai
Journal:  Horm Metab Res       Date:  2002 Nov-Dec       Impact factor: 2.936

9.  Obesity is a risk factor for peritonitis in the Australian and New Zealand peritoneal dialysis patient populations.

Authors:  Stephen P McDonald; John F Collins; Markus Rumpsfeld; David W Johnson
Journal:  Perit Dial Int       Date:  2004 Jul-Aug       Impact factor: 1.756

10.  Relationship of demographic, dietary, and clinical factors to the hydration status of patients on peritoneal dialysis.

Authors:  Ramzana B Asghar; Sandra Green; Barbara Engel; Simon J Davies
Journal:  Perit Dial Int       Date:  2004 May-Jun       Impact factor: 1.756

View more
  5 in total

1.  Clinical features of patients treated by peritoneal dialysis for over a decade.

Authors:  Mengli Tong; Yuhui Wang; Jun Ni; Ning Weng; Chuanxia Chen; Hongyu Chen; Lindholm Bengt
Journal:  Am J Clin Exp Urol       Date:  2017-11-09

2.  Left ventricular diastolic dysfunction in peritoneal dialysis: a forgotten risk factor.

Authors:  Cho-Kai Wu; Jen-Kuang Lee; Yi-Fan Wu; Chia-Ti Tsai; Fu-Tien Chiang; Juey-Jen Hwang; Jiunn-Lee Lin; Kuan-Yu Hung; Jenq-Wen Huang; Jou-Wei Lin
Journal:  Medicine (Baltimore)       Date:  2015-05       Impact factor: 1.889

3.  Effect of Long-term Peritoneal Dialysis on Change in Visceral Fat Area: A Single-Center Experience.

Authors:  Mari Ikeda; Kiyomi Osako; Shigeki Kojima; Kenichiro Koitabashi; Naohiko Imai; Yugo Shibagaki; Tsutomu Sakurada
Journal:  Indian J Nephrol       Date:  2020-11-11

4.  Abdominal Obesity and Mortality in Continuous Ambulatory Peritoneal Dialysis Patients.

Authors:  Haifeng Jin; Jun Young Shin; Seung Ho Lee; Joon Ho Song; Moon-Jae Kim; Seoung Woo Lee
Journal:  Electrolyte Blood Press       Date:  2015-06-30

Review 5.  Metabolic syndrome and obesity in peritoneal dialysis.

Authors:  Wai Kei Lo
Journal:  Kidney Res Clin Pract       Date:  2016-01-13
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.