Risk Factors Associated with Time to First Infection and Time to Failure on CAPD

Author:

Corey Paul N.1,Steele Cathy1

Affiliation:

1. Preventive Medicine and Biostatistics, Faculty of Medicine, University of Toronto.

Abstract

The Cox proportional hazards model was used to identify prognostic risk factors for time to first infection and time to failure among 183 patients on chronic ambulatory peritoneal dialysis (CAPD). This methodology permits continuous variables such as albumin and blood pressure to be used in the predictive equation avoiding arbitrary categorization. Initial serum creatinine and albumin were found to be related to the risk of first infection. Serum creatinine increases the risk whereas albumin is protective. Age and blood pressure are related to an increased risk of failure on CAPD whereas albumin is associated with a lower risk. The occurrence of the first infection almost doubles the risk of failure. Patients who have “high” albumin and “low” blood pressure have a 75th percentile for time to failure on CAPD which is more than 1000 days longer than those who have both “low” albumin and “high” blood pressure.

Publisher

SAGE Publications

Subject

Nephrology,General Medicine

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Campylobacter Peritonitis Complicating Continuous Ambulatory Peritoneal Dialysis: Report of Three Cases and Review of the Literature;Peritoneal Dialysis International: Journal of the International Society for Peritoneal Dialysis;2010-01

2. Peritonitis;The Textbook of Peritoneal Dialysis;1994

3. A Retrospective Assessment of Risk Factors for Peritonitis among An Urban Capd Population;Peritoneal Dialysis International: Journal of the International Society for Peritoneal Dialysis;1993-04

4. Microbiological aspects of peritonitis associated with continuous ambulatory peritoneal dialysis;Clinical Microbiology Reviews;1992-01

5. Modelling peritonitis rates and associated risk factors for individuals on continuous ambulatory peritoneal dialysis;Statistics in Medicine;1990-03

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