Document Detail

Predictors of peritonitis in patients on peritoneal dialysis: results of a large, prospective Canadian database.
MedLine Citation:
PMID:  19406969     Owner:  NLM     Status:  MEDLINE    
BACKGROUND AND OBJECTIVES: Despite the decreasing incidence of peritonitis among peritoneal dialysis (PD) patients over time, its occurrence is still associated with significant morbidity and mortality. Determining factors that are associated with PD peritonitis may facilitate the identification of patients who are at risk. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Using data collected in the multicenter Baxter POET database between 1996 and 2005, the study population included incident Canadian PD patients. Potential predictors of peritonitis were sought using a negative binomial model and an Andersen-Gill model. Study variables included age, gender, race, cause of renal disease, diabetes status, transfer from hemodialysis (HD), previous renal transplant, and continuous ambulatory PD (CAPD) versus automated PD (APD). RESULTS: Data were available for 4247 incident PD patients, including 1605 patients with a total of 2555 peritonitis episodes. Using the negative binomial regression model, factors that were independently associated with a higher peritonitis rate included age, Black race, and having transferred from HD. There was an interaction between gender and diabetes, with an increased risk for peritonitis among female patients with diabetes. The use of CAPD versus APD did not affect the peritonitis rate. The Andersen-Gill model for recurrent events yielded similar results. CONCLUSIONS: Predictors of PD peritonitis included Black race, transferring from HD to PD, and diabetes among women. In contrast to previous findings, CAPD and APD were similar with regard to peritonitis risk.
Sharon J Nessim; Joanne M Bargman; Peter C Austin; Rosane Nisenbaum; Sarbjit V Jassal
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2009-04-30
Journal Detail:
Title:  Clinical journal of the American Society of Nephrology : CJASN     Volume:  4     ISSN:  1555-905X     ISO Abbreviation:  Clin J Am Soc Nephrol     Publication Date:  2009 Jul 
Date Detail:
Created Date:  2009-07-07     Completed Date:  2009-09-23     Revised Date:  2010-09-27    
Medline Journal Info:
Nlm Unique ID:  101271570     Medline TA:  Clin J Am Soc Nephrol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1195-200     Citation Subset:  IM    
Department of Medicine, Division of Nephrology, St. Michael's Hospital, Toronto, Ontario, Canada.
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MeSH Terms
African Continental Ancestry Group / statistics & numerical data
Canada / epidemiology
Databases, Factual
Diabetes Complications / epidemiology
Kidney Failure, Chronic / epidemiology*,  therapy*
Middle Aged
Multivariate Analysis
Peritoneal Dialysis / adverse effects*,  statistics & numerical data*
Peritonitis / diagnosis,  epidemiology*
Predictive Value of Tests
Regression Analysis
Renal Dialysis / statistics & numerical data
Risk Factors
Sex Distribution

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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