Predictors of hospitalization in patients on peritoneal dialysis: the Missouri experience.
BACKGROUND
We analyzed a large number of demographic and biochemical variables to identify predictors of hospitalization in subjects on peritoneal dialysis (PD).


METHODS
All patients initiated on PD at our center from January 1990 through December 1999 were included. The following variables at the initiation of PD were included: demographics, clinical data, nutritional and adequacy parameters, transport characteristics, and various co-morbidities. Co-morbidities were graded for severity using a modified version of the Index of Coexistent Disease. Variables included during the course of PD consisted of weighted time average of a number of laboratory, adequacy, and nutritional parameters along with the number of peritonitis episodes per year. Stepwise linear regression was used following a univariate screening procedure to identify independent predictors of the outcome of hospitalization days per month on PD.


RESULTS
The subject population consisted of 191 subjects (105 men, 86 women; 180 Caucasians, 10 African-American, 1 Asian). The mean age was 61 +/- 13 (SD) years and mean duration of follow-up was 21 +/- 18 months. The baseline variable analysis revealed that the presence of partner to perform PD predicted increased hospitalization (p < 0.0001). Additionally, the presence and severity of peripheral vascular disease and residual renal Kt/V at baseline (negative association) predicted increased hospitalization. In the analyses of ongoing variables, stepwise linear regression solely identified weighted time average albumin as a strong negative predictor of hospitalization (p < 0.0001).


CONCLUSIONS
A comprehensive analysis of a large number of variables revealed that serum albumin during the course of PD (negative association) and the need for partner to perform PD strongly predicted increased hospitalization in PD subjects.
The Harry S. Truman Memorial Veterans Hospital, Milwaukee, Wisc., USA. htrivedi@mcw.edu
Hariprasad S
HS
Trivedi
Seng Hoe
SH
Tan
Barbara F
BF
Prowant
Ashley
A
Sherman
C Gentiana
CG
Voinescu
Jamal
J
Atalla
Ramesh
R
Khanna
Karl D
KD
Nolph
D000368:Aged; D005260:Female; D005500:Follow-Up Studies; D006760:Hospitalization; D006801:Humans; D007674:Kidney Diseases / Q000150:complications / Q000378:metabolism / Q000628:therapy*; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D016491:Peripheral Vascular Diseases / Q000150:complications / Q000503:physiopathology; D010530:Peritoneal Dialysis; D011237:Predictive Value of Tests; D012709:Serum Albumin / Q000378:metabolism; D012720:Severity of Illness Index; D018454:Spouses; D013851:Thinness; D014508:Urea / Q000378:metabolism
D012709:Serum Albumin; D014508:Urea