IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0054976.html
   My bibliography  Save this article

Lean Body Mass Predicts Long-Term Survival in Chinese Patients on Peritoneal Dialysis

Author

Listed:
  • Jenq-Wen Huang
  • Yu-Chung Lien
  • Hon-Yen Wu
  • Chung-Jen Yen
  • Chun-Chun Pan
  • Tsai-Wei Hung
  • Chi-Ting Su
  • Chih-Kang Chiang
  • Hui-Teng Cheng
  • Kuan-Yu Hung

Abstract

Background: Reduced lean body mass (LBM) is one of the main indicators in malnutrition inflammation syndrome among patients on dialysis. However, the influence of LBM on peritoneal dialysis (PD) patients’ outcomes and the factors related to increasing LBM are seldom reported. Methods: We enrolled 103 incident PD patients between 2002 and 2003, and followed them until December 2011. Clinical characteristics, PD-associated parameters, residual renal function, and serum chemistry profiles of each patient were collected at 1 month and 1 year after initiating PD. LBM was estimated using creatinine index corrected with body weight. Multiple linear regression analysis, Kaplan–Meier survival analysis, and Cox regression proportional hazard analysis were used to define independent variables and compare survival between groups. Results: Using the median LBM value (70% for men and 64% for women), patients were divided into group 1 (n = 52; low LBM) and group 2 (n = 51; high LBM). Group 1 patients had higher rates of peritonitis (1.6 vs. 1.1/100 patient months; p

Suggested Citation

  • Jenq-Wen Huang & Yu-Chung Lien & Hon-Yen Wu & Chung-Jen Yen & Chun-Chun Pan & Tsai-Wei Hung & Chi-Ting Su & Chih-Kang Chiang & Hui-Teng Cheng & Kuan-Yu Hung, 2013. "Lean Body Mass Predicts Long-Term Survival in Chinese Patients on Peritoneal Dialysis," PLOS ONE, Public Library of Science, vol. 8(1), pages 1-6, January.
    • Handle: RePEc:plo:pone00:0054976
    DOI: 10.1371/journal.pone.0054976
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0054976
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0054976&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0054976?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jing Liu & Xiaoxi Zeng & Hyokyoung G Hong & Yi Li & Ping Fu, 2017. "The association between body mass index and mortality among Asian peritoneal dialysis patients: A meta-analysis," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-14, February.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0054976. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.