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Predictors of hospitalization in patients on peritoneal dialysis: the Missouri experience. | LitMetric

AI Article Synopsis

  • The study aimed to identify factors that predict hospitalization in patients undergoing peritoneal dialysis (PD) by analyzing various demographic and biochemical data from a cohort of patients treated from 1990 to 1999.
  • The analysis included 191 subjects, revealing that having a partner for PD was associated with increased hospitalization, along with the severity of peripheral vascular disease and lower residual renal function.
  • A strong negative predictor of hospitalization was identified as the weighted average serum albumin levels during PD, indicating better albumin levels were linked to fewer hospitalizations.

Article Abstract

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).

Conclusion: 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.

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Source
http://dx.doi.org/10.1159/000106671DOI Listing

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