CENTER-SPECIFIC FACTORS ASSOCIATED WITH PERITONITIS RISK-A MULTI-CENTER REGISTRY ANALYSIS

被引:47
作者
Nadeau-Fredette, Annie-Claire [1 ,2 ,3 ]
Johnson, David W. [1 ,2 ,4 ]
Hawley, Carmel M. [1 ,2 ,4 ]
Pascoe, Elaine M. [5 ]
Cho, Yeoungjee [1 ,2 ,4 ]
Clayton, Philip A. [2 ,6 ,7 ]
Borlace, Monique [8 ]
Badve, Sunil V. [1 ,2 ]
Sud, Kamal [7 ,9 ]
Boudville, Neil [10 ]
McDonald, Stephen P. [2 ,8 ,11 ]
机构
[1] Univ Queensland, Princess Alexandra Hosp, Dept Renal Med, Brisbane, Qld, Australia
[2] Australia & New Zealand Dialysis & Transplant Reg, Adelaide, SA, Australia
[3] Univ Montreal, Hop Maisonneuve Rosemont, Montreal, PQ, Canada
[4] Translat Res Inst, Ctr Kidney Dis Res, Brisbane, Qld, Australia
[5] Univ Queensland, Sch Med, Brisbane, Qld, Australia
[6] Prince Wales Hosp, Dept Nephrol, Sydney, NSW, Australia
[7] Univ Sydney, Nepean Clin Sch, Fac Med, Kingswood, NSW, Australia
[8] Royal Adelaide Hosp, Cent Northern Adelaide Renal & Transplantat Serv, Adelaide, SA, Australia
[9] Nepean & Westmead Hosp, Dept Renal Med, Sydney, NSW, Australia
[10] Univ Western Australia, Sch Med & Pharmacol, Nedlands, WA 6009, Australia
[11] Univ Adelaide, Fac Hlth Sci, Sch Med, Adelaide, SA, Australia
来源
PERITONEAL DIALYSIS INTERNATIONAL | 2016年 / 36卷 / 05期
关键词
Peritoneal dialysis; peritonitis; center; ANZDATA; mixed effects; predictors; DIALYSIS-ASSOCIATED PERITONITIS; TECHNIQUE SURVIVAL; OUTCOMES; MICROBIOLOGY; PREDICTORS; PATTERNS; NETWORK; TARGETS; SYSTEM; IMPACT;
D O I
10.3747/pdi.2015.00146
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
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.
引用
收藏
页码:509 / 518
页数:10
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