Center-Specific Factors Associated with Peritonitis Risk—A Multi-Center Registry Analysis

Author:

Nadeau-Fredette Annie-Claire123,Johnson David W.124,Hawley Carmel M.124,Pascoe Elaine M.5,Cho Yeoungjee124,Clayton Philip A.267,Borlace Monique8,Badve Sunil V.12,Sud Kamal79,Boudville Neil10,McDonald Stephen P.2811

Affiliation:

1. Department of Renal Medicine, University of Queensland at Princess Alexandra Hospital, Brisbane, Australia

2. Australia and New Zealand Dialysis and Transplant Registry, Adelaide, Australia

3. Hôpital Maisonneuve-Rosemont, Université de Montréal, Montreal, Canada

4. Centre for Kidney Disease Research, Translational Research Institute, Brisbane, Australia

5. School of Medicine, University of Queensland, Brisbane, Australia

6. Department of Nephrology, Prince of Wales Hospital, Sydney, Australia

7. Faculty of Medicine, University of Sydney, Nepean Clinical School, Kingswood, Australia

8. Central Northern Adelaide Renal and Transplantation Service, Royal Adelaide Hospital, Adelaide, Australia

9. Departments of Renal Medicine, Nepean and Westmead Hospitals, Sydney, Australia

10. School of Medicine and Pharmacology, University of Western Australia, Australia

11. School of Medicine, Faculty of Health Sciences, University of Adelaide, Adelaide, Australia

Abstract

Background Previous studies have reported significant variation in peritonitis rates across dialysis centers. Limited evidence is available to explain this variability. The aim of this study was to assess center-level predictors of peritonitis and their relationship with peritonitis rate variations. Methods All incident peritoneal dialysis (PD) patients treated in Australia between October 2003 and December 2013 were included. Data were accessed through the Australia and New Zealand Dialysis and Transplant Registry. The primary outcome was peritonitis rate, evaluated in a mixed effects negative binomial regression model. Peritonitis-free survival was assessed as a secondary outcome in a Cox proportional hazards model. Results Overall, 8,711 incident PD patients from 51 dialysis centers were included in the study. Center-level predictors of lower peritonitis rates included smaller center size, high proportion of PD, low peritoneal equilibration test use at PD start, and low proportion of hospitalization for peritonitis. In contrast, a low proportion of automated PD exposure, high icodextrin exposure and low or high use of antifungal prophylaxis at the time of peritonitis were associated with a higher peritonitis rate. Similar results were obtained for peritonitis-free survival. Overall, accounting for center-level characteristics appreciably decreased peritonitis variability among dialysis centers ( p = 0.02). Conclusion This study identified specific center-level characteristics associated with the variation in peritonitis risk. Whether these factors are directly related to peritonitis risk or surrogate markers for other center characteristics is uncertain and should be validated in further studies.

Publisher

SAGE Publications

Subject

Nephrology,General Medicine

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