Extracellular water/intracellular water is a strong predictor of patient survival in incident peritoneal dialysis patients.
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.
Chen
Wei
W
Division of Nephrology, Peking University Third Hospital, Beijing, PR China.
Guo
Li-Juan
LJ
Wang
Tao
T
D000328:Adult; D000368:Aged; D001834:Body Water / Q000378:metabolism*; D002318:Cardiovascular Diseases / Q000401:mortality; D002423:Cause of Death; D002681:China / Q000453:epidemiology; D015897:Comorbidity; D045604:Extracellular Fluid / Q000737:chemistry*; D005260:Female; D006801:Humans; D007424:Intracellular Fluid / Q000737:chemistry*; D053208:Kaplan-Meier Estimate; D007676:Kidney Failure, Chronic / Q000378:metabolism / Q000401:mortality* / Q000601:surgery / Q000628:therapy; D016030:Kidney Transplantation / Q000706:statistics & numerical data; D008297:Male; D008875:Middle Aged; D009102:Multiple Organ Failure / Q000401:mortality; D009369:Neoplasms / Q000401:mortality; D010530:Peritoneal Dialysis / Q000009:adverse effects / Q000706:statistics & numerical data; D010538:Peritonitis / Q000453:epidemiology / Q000209:etiology; D011379:Prognosis; D016016:Proportional Hazards Models; D016019:Survival Analysis; D015996:Survival Rate