Patient and physician predictors of peritoneal dialysis technique failure: A population based, retrospective cohort study

Peritoneal Dialysis International

Volumn 31, Issue 5, 2011, Pages 565-573

  Chidambaram, Mala ^a,b   Bargman, Joanne M ^c   Quinn, Robert R ^d   Austin, Peter C ^a,b   Hux, Janet E ^a,b,e   Laupacis, Andreas ^a,b,f,g  

^a INSTITUTE FOR CLINICAL EVALUATIVE SCIENCES   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

^c UNIVERSITY HEALTH NETWORK   (Canada)

^d UNIVERSITY OF CALGARY   (Canada)

^e SUNNYBROOK RESEARCH INSTITUTE   (Canada)

^f ST MICHAEL'S HOSPITAL   (Canada)

^g ST MICHAEL'S HOSPITAL   (Canada)

Author keywords

Mortality; Physician; Predictors; Sociodemographic; Technique failure; Utilization

Indexed keywords

ADULT; AGE DISTRIBUTION; AGED; ARTICLE; COHORT ANALYSIS; CONGESTIVE HEART FAILURE; CONTROLLED STUDY; CORONARY ARTERY DISEASE; DIABETES MELLITUS; EDUCATIONAL STATUS; FEMALE; HUMAN; KIDNEY TRANSPLANTATION; MAJOR CLINICAL STUDY; MALE; MEDICAL ERROR; PERITONEAL DIALYSIS; PERITONEAL DIALYSIS TECHNIQUE FAILURE; POPULATION RESEARCH; PRIORITY JOURNAL; RETROSPECTIVE STUDY; RISK ASSESSMENT; RISK FACTOR; SURVIVAL RATE;

ADOLESCENT; ADULT; AGED; COMORBIDITY; CORONARY ARTERY DISEASE; DIABETIC NEPHROPATHIES; FEMALE; HEART FAILURE; HUMANS; KIDNEY FAILURE, CHRONIC; MALE; MIDDLE AGED; PERITONEAL DIALYSIS; PROPORTIONAL HAZARDS MODELS; REFERRAL AND CONSULTATION; RETROSPECTIVE STUDIES; RISK ASSESSMENT; RISK FACTORS; YOUNG ADULT;

EID: 84856157304     PISSN: 08968608     EISSN: 17184304     Source Type: Journal    
DOI: 10.3747/pdi.2010.00096     Document Type: Article

References (39)

1. Canadian Institute for Health Information. Treatment of End-Stage Organ failure in Canada, 1998 to 2007. 2009 Annual Report. Ottawa: CIHI; 2009.
2. Mendelssohn DC, Langlois N, Blake PG. Peritoneal dialysis in Ontario: a natural experiment in physician reimbursement methodology. Perit Dial Int 2004; 24:531-7.
3. Beddhu S, Zeidel ML, Saul M, Seddon P, Samore MH, Stoddard GJ, et al. The effects of comorbid conditions on the outcomes of patients undergoing peritoneal dialysis. Am J Med 2002; 112:696-701.
4. Churchill DN, Thorpe KE, Nolph KD, Keshaviah PR, Oreopoulos DG, Page D. Increased peritoneal membrane transport is associated with decreased patient and technique survival for continuous peritoneal dialysis patients. The Canada-USA (CANUSA) Peritoneal Dialysis Study Group. J Am Soc Nephrol 1998; 9:1285-92.
5. Davies SJ, Phillips L, Griffiths AM, Russell LH, Naish PF, Russell GI. What really happens to people on long-term peritoneal dialysis? Kidney Int 1998; 54:2207-17.
6. Jager KJ, Merkus MP, Dekker FW, Boeschoten EW, Tijssen JG, Stevens P, et al. Mortality and technique failure in patients starting chronic peritoneal dialysis: results of The Netherlands Cooperative Study on the Adequacy of Dialysis. NECOSAD Study Group. Kidney Int 1999; 55:1476-85.
7. Jansen MA, Termorshuizen F, Korevaar JC, Dekker FW, Boeschoten E, Krediet RT. Predictors of survival in anuric peritoneal dialysis patients. Kidney Int 2005; 68:1199-205.
8. Rumpsfeld M, McDonald SP, Johnson DW. Higher peritoneal transport status is associated with higher mortality and technique failure in the Australian and New Zealand peritoneal dialysis patient populations. J Am Soc Nephrol 2006; 17:271-8.
9. Snyder JJ, Foley RN, Gilbertson DT, Vonesh EF, Collins AJ. Body size and outcomes on peritoneal dialysis in the United States. Kidney Int 2003; 64:1838-44.
10. Wiggins KJ, Blizzard S, Arndt M, O'Shea A, Watt R, Hamilton J, et al. Increases in peritoneal small solute transport in the first month of peritoneal dialysis predict technique survival. Nephrology (Carlton) 2004; 9:341-7.
11. Statistics Canada. Population and Dwelling Counts, for Canada, Provinces and Territories, 2006 and 2001 Censuses. Ottawa: Statistics Canada.
12. Bell CM, Redelmeier DA. Mortality among patients admitted to hospitals on weekends as compared with weekdays. N Engl J Med 2001; 345:663-8.
13. Choudhry NK, Soumerai SB, Normand SL, Ross-Degnan D, Laupacis A, Anderson GM. Warfarin prescribing in atrial fibrillation: the impact of physician, patient, and hospital characteristics. Am J Med 2006; 119:607-15.
14. Juurlink DN, Mamdani M, Kopp A, Laupacis A, Redelmeier DA. Drug-drug interactions among elderly patients hospitalized for drug toxicity. JAMA 2003; 289:1652-8.
15. Juurlink DN, Mamdani MM, Lee DS, Kopp A, Austin PC, Laupacis A, et al. Rates of hyperkalemia after publication of the Randomized Aldactone Evaluation Study. N Engl J Med 2004; 351:543-51.
16. Williams JI, Young WA. Summary of studies on the quality of health care administrative databases in Canada. In: Goel V, Williams JI, Anderson GM, eds. Patterns of Health Care in Ontario. The ICES Practice Atlas. Ottawa: Canadian Medical Association; 1996: 339-45.
17. Juurlink D, Preyra C, Croxford R, Chong A, Austin P, Tu J, et al. Canadian Institute for Health Information Discharge Abstract Database: a Validation Study. Toronto: Institute for Clinical Evaluative Sciences; 2006.
18. Hux JE, Ivis F, Flintoft V, Bica A. Diabetes in Ontario: determination of prevalence and incidence using a validated administrative data algorithm. Diabetes Care 2002; 25:512-16.
19. Fried L, Bernardini J, Piraino B. Charlson Comorbidity Index as a predictor of outcomes in incident peritoneal dialysis patients. Am J Kidney Dis 2001; 37:337-42.
20. Wu MS, Lin CL, Chang CT, Wu CH, Huang JY, Yang CW. Improvement in clinical outcome by early nephrology referral in type II diabetics on maintenance peritoneal dialysis. Perit Dial Int 2003; 23:39-45.
21. Needham DM, Bronskill SE, Rothwell DM, Sibbald WJ, Pronovost PJ, Laupacis A, et al. Hospital volume and mortality for mechanical ventilation of medical and surgical patients: a population-based analysis using administrative data. Crit Care Med 2006; 34:2349-54.
22. Glynn RJ, Rosner B. Comparison of risk factors for the competing risks of coronary heart disease, stroke, and venous thromboembolism. Am J Epidemiol 2005; 162:975-82.
23. Bradley RA, Hunter JS, Kendall DG, Watson GS. Multivariate failure time data and competing risks. In: Kalbfleisch JD, Prentice RL, eds. The Statistical Analysis of failure Time Data. New York: John Wiley & Sons, Inc.; 1980: 163-88.
24. Lunn M, McNeil D. Applying Cox regression to competing risks. Biometrics 1995; 51:524-32.
25. Guo A, Mujais S. Patient and technique survival on peritoneal dialysis in the United States: evaluation in large incident cohorts. Kidney Int Suppl 2003; (88):S3-12.
26. Descoeudres B, Koller MT, Garzoni D, Wolff T, Steiger J, Schuab S, et al. Contribution of early failure to outcome on peritoneal dialysis. Perit Dial Int 2008; 28:259-67.
27. Oliver MJ, Quinn RR. Is the decline of peritoneal dialysis in the elderly a breakdown in the process of care? Perit Dial Int 2008; 28:452-6.
28. Krishnan M, Tam P, Wu G, Breborowicz A, Oreopoulos DG. Glucose degradation products (GDP's) and peritoneal changes in patients on chronic peritoneal dialysis: will new dialysis solutions prevent these changes? Int Urol Nephrol 2005; 37:409-18.
29. McIntyre CW. Update on peritoneal dialysis solutions. Kidney Int 2007; 71:486-90.
30. Tonelli M, Hemmelgarn B, Culleton B, Klarenbach S, Gill JS, Wiebe N, et al. Mortality of Canadians treated by peritoneal dialysis in remote locations. Kidney Int 2007; 72:1023-8.
31. Stack AG. Determinants of modality selection among incident US dialysis patients: results from a national study. J Am Soc Nephrol 2002; 13:1279-87.
32. Kim DJ, Park JA, Huh W, Kim YG, Oh HY. The effect of hemodialysis during break-in period on residual renal function in CAPD patients. Perit Dial Int 2000; 20:784-5.
33. Schaubel DE, Blake PG, Fenton SS. Trends in CAPD technique failure: Canada, 1981-1997. Perit Dial Int 2001; 21:365-71.
34. Mehrotra R, Chiu Y, Kalantar-Zadeh K, Vonesh E. The outcomes of continuous ambulatory and automated peritoneal dialysis are similar. Kidney Int 2009; 76:97-107.
35. Kawaguchi T, Bragg-Gresham JL, Fukuhara S, Rayner H, Andreucci V, Pisoni RL, et al. More frequent and longer patient-doctor contact in hemodialysis care: associations with reduced mortality in the Dialysis Outcomes and Practice Patterns Study (DOPPS) [Abstract]. J Am Soc Nephrol 2008; 19:499A.
36. Roter DL, Hall JA, Aoki Y. Physician gender effects in medical communication: a meta-analytic review. JAMA 2002; 288:756-64.
37. Schaubel DE, Blake PG, Fenton SS. Effect of renal center characteristics on mortality and technique failure on peritoneal dialysis. Kidney Int 2001; 60:1517-24.
38. Mujais S, Story K. Peritoneal dialysis in the US: evaluation of outcomes in contemporary cohorts. Kidney Int Suppl 2006; (103):S21-6.
39. Steele LS, Glazier RH, Agha M, Moineddin R. The gatekeeper system and disparities in use of psychiatric care by neighbourhood education level: results of a nine-year cohort study in Toronto. Healthc Policy 2009; 4:e133-50.