Wen Tang1, Blair Grace2, Stephen P McDonald3, Carmel M Hawley4, Sunil V Badve4, Neil C Boudville5, Fiona G Brown6, Philip A Clayton7, David W Johnson8. 1. Division of Nephrology, Peking University Third Hospital, Beijing, China ANZDATA Registry, Adelaide, Australia Department of Nephrology, University of Queensland at Princess Alexandra Hospital, Brisbane, Australia. 2. ANZDATA Registry, Adelaide, Australia. 3. ANZDATA Registry, Adelaide, Australia Department of Nephrology and Transplantation Services, University of Adelaide at Central Northern Adelaide Renal and Transplantation Services, Adelaide, Australia. 4. ANZDATA Registry, Adelaide, Australia Department of Nephrology, University of Queensland at Princess Alexandra Hospital, Brisbane, Australia. 5. ANZDATA Registry, Adelaide, Australia School of Medicine and Pharmacology, Sir Charles Gairdner Hospital Unit, The University of Western Australia, Perth, Australia. 6. ANZDATA Registry, Adelaide, Australia Department of Nephrology, Monash Medical Centre, Melbourne, Victoria, Australia. 7. ANZDATA Registry, Adelaide, Australia Department of Renal Medicine, Royal Prince Alfred Hospital, Sydney, Australia School of Public Health, University of Sydney, Sydney, Australia. 8. ANZDATA Registry, Adelaide, Australia Department of Nephrology, University of Queensland at Princess Alexandra Hospital, Brisbane, Australia david.johnson2@health.qld.gov.au.
Abstract
UNLABELLED: ♦ BACKGROUND: The aim of the present study was to investigate the relationship between socio-economic status (SES) and peritoneal dialysis (PD)-related peritonitis. ♦ METHODS: Associations between area SES and peritonitis risk and outcomes were examined in all non-indigenous patients who received PD in Australia between 1 October 2003 and 31 December 2010 (peritonitis outcomes). SES was assessed by deciles of postcode-based Australian Socio-Economic Indexes for Areas (SEIFA), including Index of Relative Socio-economic Disadvantage (IRSD), Index of Relative Socio-economic Advantage and Disadvantage (IRSAD), Index of Economic Resources (IER) and Index of Education and Occupation (IEO). ♦ RESULTS: 7,417 patients were included in the present study. Mixed-effects Poisson regression demonstrated that incident rate ratios for peritonitis were generally lower in the higher SEIFA-based deciles compared with the reference (decile 1), although the reductions were only statistically significant in some deciles (IRSAD deciles 2 and 4 - 9; IRSD deciles 4 - 6; IER deciles 4 and 6; IEO deciles 3 and 6). Mixed-effects logistic regression showed that lower probabilities of hospitalization were predicted by relatively higher SES, and lower probabilities of peritonitis-associated death were predicted by less SES disadvantage status and greater access to economic resources. No association was observed between SES and the risks of peritonitis cure, catheter removal and permanent hemodialysis (HD) transfer. ♦ CONCLUSIONS: In Australia, where there is universal free healthcare, higher SES was associated with lower risks of peritonitis-associated hospitalization and death, and a lower risk of peritonitis in some categories.
UNLABELLED: ♦ BACKGROUND: The aim of the present study was to investigate the relationship between socio-economic status (SES) and peritoneal dialysis (PD)-related peritonitis. ♦ METHODS: Associations between area SES and peritonitis risk and outcomes were examined in all non-indigenous patients who received PD in Australia between 1 October 2003 and 31 December 2010 (peritonitis outcomes). SES was assessed by deciles of postcode-based Australian Socio-Economic Indexes for Areas (SEIFA), including Index of Relative Socio-economic Disadvantage (IRSD), Index of Relative Socio-economic Advantage and Disadvantage (IRSAD), Index of Economic Resources (IER) and Index of Education and Occupation (IEO). ♦ RESULTS: 7,417 patients were included in the present study. Mixed-effects Poisson regression demonstrated that incident rate ratios for peritonitis were generally lower in the higher SEIFA-based deciles compared with the reference (decile 1), although the reductions were only statistically significant in some deciles (IRSAD deciles 2 and 4 - 9; IRSD deciles 4 - 6; IER deciles 4 and 6; IEO deciles 3 and 6). Mixed-effects logistic regression showed that lower probabilities of hospitalization were predicted by relatively higher SES, and lower probabilities of peritonitis-associated death were predicted by less SES disadvantage status and greater access to economic resources. No association was observed between SES and the risks of peritonitis cure, catheter removal and permanent hemodialysis (HD) transfer. ♦ CONCLUSIONS: In Australia, where there is universal free healthcare, higher SES was associated with lower risks of peritonitis-associated hospitalization and death, and a lower risk of peritonitis in some categories.
Authors: Philip Kam-Tao Li; Cheuk Chun Szeto; Beth Piraino; Judith Bernardini; Ana E Figueiredo; Amit Gupta; David W Johnson; Ed J Kuijper; Wai-Choong Lye; William Salzer; Franz Schaefer; Dirk G Struijk Journal: Perit Dial Int Date: 2010 Jul-Aug Impact factor: 1.756
Authors: Neil Boudville; Anna Kemp; Philip Clayton; Wai Lim; Sunil V Badve; Carmel M Hawley; Stephen P McDonald; Kathryn J Wiggins; Kym M Bannister; Fiona G Brown; David W Johnson Journal: J Am Soc Nephrol Date: 2012-05-24 Impact factor: 10.121
Authors: Mala Chidambaram; Joanne M Bargman; Robert R Quinn; Peter C Austin; Janet E Hux; Andreas Laupacis Journal: Perit Dial Int Date: 2010-10-14 Impact factor: 1.756
Authors: John S Furler; Elizabeth Harris; Patty Chondros; P Gawaine Powell Davies; Mark F Harris; Doris Y L Young Journal: Med J Aust Date: 2002-07-15 Impact factor: 7.738
Authors: M Sanabria; J Muñoz; C Trillos; G Hernández; C Latorre; C S Díaz; S Murad; K Rodríguez; A Rivera; A Amador; F Ardila; A Caicedo; D Camargo; A Díaz; J González; H Leguizamón; P Lopera; L Marín; I Nieto; E Vargas Journal: Kidney Int Suppl Date: 2008-04 Impact factor: 10.545