Longitudinal Assessment of Serum Creatinine Levels on Graft Survival After Renal Transplantation: Joint Modeling Approach

Background Chronic kidney disease (CKD) is a major public health problem. The eventual outcome of CKD is end-stage renal disease (ESRD). Early diagnosis and proper management play an important role in preventing CKD progression to ESRD. Dialysis and kidney transplantation are the only treatment options available for patients suffering from ESRD. Objectives This study was designed to investigate the etiological role of recipient and donor characteristics on serum creatinine changes within the follow-up period, graft failure risk, and the impact of longitudinal serum creatinine levels on graft survival after renal transplantation. Patients and Methods This study was carried out at the department of nephrology, Baqiyatallah hospital, Baqiyatallah University, Tehran, Iran, between April 2005 and December 2008. During that time period, 461 patients who had undergone renal transplantation were entered in the current study. Time to graft loss and serum creatinine levels at each visit were the primary data gathered for the study. A joint modeling of survival and longitudinal nonsurvival data was used to assess the association between the two processes and investigate the influential factors. Results Median follow-up time was 6.80 months. A linear decreasing trend in serum creatinine level over time was found (P < 0.001). The results showed a positive correlation between serum creatinine levels and risk of graft failure (P < 0.001). Conclusions The major finding of this study is that one unit increase in serum creatinine level suggests an increased risk of graft failure of up to four times.

[1]  J. Kalbfleisch,et al.  The Statistical Analysis of Failure Time Data , 1980 .

[2]  R. Prentice Covariate measurement errors and parameter estimation in a failure time regression model , 1982 .

[3]  R. Merion,et al.  Cyclosporine: five years' experience in cadaveric renal transplantation. , 1984, The New England journal of medicine.

[4]  Satish Kumar,et al.  Handbook of Dialysis , 1995 .

[5]  S. Arend,et al.  Patient survival after renal transplantation; more than 25 years follow-up. , 1997, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.

[6]  D. Leehey,et al.  Improved graft survival after renal transplantation in the United States, 1988 to 1996. , 2000, The New England journal of medicine.

[7]  S. Hariharan,et al.  Improved graft survival after renal transplantation in the United States, 1988 to 1996. , 2000, The New England journal of medicine.

[8]  J. Briggs Causes of death after renal transplantation. , 2001, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.

[9]  I. Macdougall Individualizing target haemoglobin concentrations--tailoring treatment for renal anaemia. , 2001, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.

[10]  T. Theruvath,et al.  Strategies to improve long-term outcomes after renal transplantation. , 2002, The New England journal of medicine.

[11]  Roderick J. A. Little,et al.  Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data , 2002 .

[12]  Laurence L. George,et al.  The Statistical Analysis of Failure Time Data , 2003, Technometrics.

[13]  S. Hassan,et al.  Patient and alograft survival after transplantation with a living donor kidney: 14 years experience , 2003 .

[14]  Nicole A. Lazar,et al.  Statistical Analysis With Missing Data , 2003, Technometrics.

[15]  B. Einollahi Iranian experience with the non-related renal transplantation. , 2004, Saudi journal of kidney diseases and transplantation : an official publication of the Saudi Center for Organ Transplantation, Saudi Arabia.

[16]  S. Ratcliffe,et al.  Joint Modeling of Longitudinal and Survival Data via a Common Frailty , 2004, Biometrics.

[17]  J. Kleinman Bariatric surgery, hyperoxaluria, and nephrolithiasis: a plea for close postoperative management of risk factors. , 2007, Kidney international.

[18]  M. Tonelli,et al.  Mortality of Canadians treated by peritoneal dialysis in remote locations. , 2007, Kidney international.

[19]  Ali Ariafar,et al.  Vascular complications following 1500 consecutive living and cadaveric donor renal transplantations: a single center study. , 2009, Saudi journal of kidney diseases and transplantation : an official publication of the Saudi Center for Organ Transplantation, Saudi Arabia.

[20]  L. Fried,et al.  Ownership patterns of dialysis units and peritoneal dialysis in the United States: utilization and outcomes. , 2009, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[21]  Dimitris Rizopoulos,et al.  JM: An R package for the joint modelling of longitudinal and time-to-event data , 2010 .

[22]  L. G. M. Andrade,et al.  Anemia at one year is an independent risk factor of graft survival , 2012, International Urology and Nephrology.

[23]  Dimitris Rizopoulos,et al.  A Bayesian semiparametric multivariate joint model for multiple longitudinal outcomes and a time‐to‐event , 2011, Statistics in medicine.

[24]  S. Nishi Polyomavirus nephropathy – recent pathological diagnostic problems and the report from the 2011 Banff meeting , 2012, Clinical transplantation.

[25]  L. Rostaing,et al.  Impact of post‐transplant anemia on patient and graft survival rates after kidney transplantation: a meta‐analysis , 2012, Clinical transplantation.

[26]  R. Oberbauer,et al.  Hemoglobin variability after renal transplantation is associated with mortality , 2012, Transplant international : official journal of the European Society for Organ Transplantation.

[27]  K. Hasegawa,et al.  Long‐term outcome of living donor liver transplantation for primary biliary cirrhosis , 2012, Transplant international : official journal of the European Society for Organ Transplantation.

[28]  Dimitris Rizopoulos,et al.  Joint Models for Longitudinal and Time-to-Event Data: With Applications in R , 2012 .

[29]  Eleni-Rosalina Andrinopoulou,et al.  An introduction to mixed models and joint modeling: analysis of valve function over time. , 2012, The Annals of thoracic surgery.

[30]  A. Majeed,et al.  Epidemiology of end-stage renal disease in the countries of the Gulf Cooperation Council: a systematic review , 2012, JRSM short reports.

[31]  Dimitris Rizopoulos Event Time Event Time , 2012 .

[32]  A. Soleimani,et al.  Epidemiology of end-stage renal disease in Iran: a review article. , 2014, Saudi journal of kidney diseases and transplantation : an official publication of the Saudi Center for Organ Transplantation, Saudi Arabia.

[33]  H. Rollag,et al.  The impact of early cytomegalovirus infection after kidney transplantation on long‐term graft and patient survival , 2014, Clinical transplantation.

[34]  B. Einollahi,et al.  Chronic Graft Loss and Death in Patients With Post-Transplant Malignancy in Living Kidney Transplantation: A Competing Risk Analysis , 2014, Nephro-urology monthly.

[35]  K. Mohammad,et al.  Short-term and long-term survival of kidney allograft: cure model analysis. , 2014, Iranian journal of kidney diseases.

[36]  A. Burroughs,et al.  How much immunosuppression is needed after liver transplantation? , 2014, Clinical transplantation.

[37]  L. Rostaing,et al.  Each additional hour of cold ischemia time significantly increases the risk of graft failure and mortality following renal transplantation. , 2015, Kidney international.

[38]  F. Hayati,et al.  Comparison of survival in patients with end-stage renal disease receiving hemodialysis versus peritoneal dialysis. , 2015, Saudi journal of kidney diseases and transplantation : an official publication of the Saudi Center for Organ Transplantation, Saudi Arabia.

[39]  Mulugeta Gebregziabher,et al.  Analysis of multivariate longitudinal kidney function outcomes using generalized linear mixed models , 2015, Journal of Translational Medicine.

[40]  Peter J Diggle,et al.  Joint modelling of repeated measurement and time-to-event data: an introductory tutorial. , 2015, International journal of epidemiology.

[41]  K. Aramesh Iran’s Experience on Living and Brain-Dead Organ Donation: A Critical Review , 2016 .