Extracellular water/intracellular water is a strong predictor of patient survival in incident peritoneal dialysis patients

Blood Purif. 2007;25(3):260-6. doi: 10.1159/000101699. Epub 2007 Apr 12.


Background: The mortality rate of peritoneal dialysis (PD) patients is still high and controversies persist regarding the mortality predictor. This study was designed to identify the predictability of the extracellular water/intracellular water ratio (E/I) on mortality in PD patients.

Methods: 227 incident PD patients were included. Time-dependent Cox proportional hazard regression was used to investigate the predictability of E/I on mortality.

Results: The 2- and 3-year survival was 74 and 65%, respectively. Univariate Cox proportional hazard regression analysis showed that the significant predictors of mortality were age, sex, Charlson Comorbidity Index, total Kt/V, serum albumin, pulse pressure, presence of malnutrition, and E/I. However, the final Cox proportional hazard models revealed that E/I was the only significant predictor. For every increase of 0.1 in the E/I value, the relative risk of death was 1.368.

Conclusions: E/I is a strong independent predictor of mortality in incident PD patients.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Body Water / metabolism*
  • Cardiovascular Diseases / mortality
  • Cause of Death
  • China / epidemiology
  • Comorbidity
  • Extracellular Fluid / chemistry*
  • Female
  • Humans
  • Intracellular Fluid / chemistry*
  • Kaplan-Meier Estimate
  • Kidney Failure, Chronic / metabolism
  • Kidney Failure, Chronic / mortality*
  • Kidney Failure, Chronic / surgery
  • Kidney Failure, Chronic / therapy
  • Kidney Transplantation / statistics & numerical data
  • Male
  • Middle Aged
  • Multiple Organ Failure / mortality
  • Neoplasms / mortality
  • Peritoneal Dialysis* / adverse effects
  • Peritoneal Dialysis* / statistics & numerical data
  • Peritonitis / epidemiology
  • Peritonitis / etiology
  • Prognosis
  • Proportional Hazards Models
  • Survival Analysis
  • Survival Rate