Int J Angiol 2016; 25(01): 029-038
DOI: 10.1055/s-0035-1563605
Original Article
Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

Recipient Criteria Predictive of Graft Failure in Kidney Transplantation

Ernesto P. Molmenti
1   Department of Surgery, Hofstra North Shore-LIJ School of Medicine, New York
2   Department of Medicine, Hofstra North Shore-LIJ School of Medicine, New York
,
Asha Alex
1   Department of Surgery, Hofstra North Shore-LIJ School of Medicine, New York
,
Lisa Rosen
3   The Feinstein Institute for Medical Research, Hofstra North Shore-LIJ School of Medicine, New York
,
Mohini Alexander
2   Department of Medicine, Hofstra North Shore-LIJ School of Medicine, New York
,
Jeffrey Nicastro
1   Department of Surgery, Hofstra North Shore-LIJ School of Medicine, New York
,
Jingyan Yang
4   Mailman School of Public Health, Columbia University, New York
,
Eric Siskind
1   Department of Surgery, Hofstra North Shore-LIJ School of Medicine, New York
,
Leesha Alex
1   Department of Surgery, Hofstra North Shore-LIJ School of Medicine, New York
,
Emil Sameyah
3   The Feinstein Institute for Medical Research, Hofstra North Shore-LIJ School of Medicine, New York
,
Madhu Bhaskaran
2   Department of Medicine, Hofstra North Shore-LIJ School of Medicine, New York
,
Nicole Ali
2   Department of Medicine, Hofstra North Shore-LIJ School of Medicine, New York
,
Amit Basu
1   Department of Surgery, Hofstra North Shore-LIJ School of Medicine, New York
,
Mala Sachdeva
2   Department of Medicine, Hofstra North Shore-LIJ School of Medicine, New York
,
Stergiani Agorastos
1   Department of Surgery, Hofstra North Shore-LIJ School of Medicine, New York
,
Prejith Rajendran
1   Department of Surgery, Hofstra North Shore-LIJ School of Medicine, New York
,
Prathik Krishnan
1   Department of Surgery, Hofstra North Shore-LIJ School of Medicine, New York
,
Poornima Ramadas
1   Department of Surgery, Hofstra North Shore-LIJ School of Medicine, New York
,
Leo Amodu
1   Department of Surgery, Hofstra North Shore-LIJ School of Medicine, New York
,
Joaquin Cagliani
1   Department of Surgery, Hofstra North Shore-LIJ School of Medicine, New York
,
Sameer Rehman
1   Department of Surgery, Hofstra North Shore-LIJ School of Medicine, New York
,
Adam Kressel
1   Department of Surgery, Hofstra North Shore-LIJ School of Medicine, New York
,
Christine B. Sethna
5   Department of Pediatrics, Hofstra North Shore-LIJ School of Medicine, New York
,
Georgios C. Sotiropoulos
6   Department of General, Visceral and Transplantation Surgery, University Hospital Essen, Essen, Germany
,
Arnold Radtke
7   Department of General and Visceral Surgery, University Hospital Muenster, Albert-Schweitzer-Campus, Muenster, Germany
,
George Sgourakis
8   Department of General Surgery, Red Cross Hospital, Athens, Greece
,
Richard Schwarz
2   Department of Medicine, Hofstra North Shore-LIJ School of Medicine, New York
,
Steven Fishbane
2   Department of Medicine, Hofstra North Shore-LIJ School of Medicine, New York
,
Alessandro Bellucci
2   Department of Medicine, Hofstra North Shore-LIJ School of Medicine, New York
,
Gene Coppa
1   Department of Surgery, Hofstra North Shore-LIJ School of Medicine, New York
,
Horacio Rilo
1   Department of Surgery, Hofstra North Shore-LIJ School of Medicine, New York
,
Christine L. Molmenti
4   Mailman School of Public Health, Columbia University, New York
› Author Affiliations
Further Information

Publication History

Publication Date:
15 September 2015 (online)

Abstract

Several classifications systems have been developed to predict outcomes of kidney transplantation based on donor variables.

This study aims to identify kidney transplant recipient variables that would predict graft outcome irrespective of donor characteristics.

All U.S. kidney transplant recipients between October 25,1999 and January 1, 2007 were reviewed. Cox proportional hazards regression was used to model time until graft failure. Death-censored and nondeath-censored graft survival models were generated for recipients of live and deceased donor organs. Recipient age, gender, body mass index (BMI), presence of cardiac risk factors, peripheral vascular disease, pulmonary disease, diabetes, cerebrovascular disease, history of malignancy, hepatitis B core antibody, hepatitis C infection, dialysis status, panel-reactive antibodies (PRA), geographic region, educational level, and prior kidney transplant were evaluated in all kidney transplant recipients.

Among the 88,284 adult transplant recipients the following groups had increased risk of graft failure: younger and older recipients, increasing PRA (hazard ratio [HR],1.03–1.06], increasing BMI (HR, 1.04–1.62), previous kidney transplant (HR, 1.17–1.26), dialysis at the time of transplantation (HR, 1.39–1.51), hepatitis C infection (HR, 1.41–1.63), and educational level (HR, 1.05–1.42).

Predictive criteria based on recipient characteristics could guide organ allocation, risk stratification, and patient expectations in planning kidney transplantation.

 
  • References

  • 1 Rao PS, Schaubel DE, Guidinger MK , et al. A comprehensive risk quantification score for deceased donor kidneys: the kidney donor risk index. Transplantation 2009; 88 (2) 231-236
  • 2 Akkina SK, Asrani SK, Peng Y, Stock P, Kim WR, Israni AK. Development of organ-specific donor risk indices. Liver Transpl 2012; 18 (4) 395-404
  • 3 Hariharan S, Johnson CP, Bresnahan BA, Taranto SE, McIntosh MJ, Stablein D. Improved graft survival after renal transplantation in the United States, 1988 to 1996. N Engl J Med 2000; 342 (9) 605-612
  • 4 Joosten SA, Sijpkens YW, van Kooten C, Paul LC. Chronic renal allograft rejection: pathophysiologic considerations. Kidney Int 2005; 68 (1) 1-13
  • 5 Andreoni KA, Forbes R, Andreoni RM, Phillips G, Stewart H, Ferris M. Age-related kidney transplant outcomes: health disparities amplified in adolescence. JAMA Intern Med 2013; 173 (16) 1524-1532
  • 6 Kasiske BL, Cangro CB, Hariharan S , et al; American Society of Transplantation. The evaluation of renal transplantation candidates: clinical practice guidelines. Am J Transplant 2001; 1 (Suppl. 02) 3-95
  • 7 Furian L, Rigotti P. Transplantation: Optimizing outcomes in elderly kidney transplant recipients. Nat Rev Nephrol 2013; 9 (7) 382-384
  • 8 Organ Procurement and Transplantation Network (OPTN). Allocation calculators. Available at: http://optn.transplant.hrsa.gov/converge/resources/allocationcalculators.asp?index=75 . Accessed August 26, 2013
  • 9 The World Health Organization (WHO). Global database on body mass index. Available at: http://apps.who.int/bmi/index.jsp?introPage=intro_3.html . Accessed August 26, 2013
  • 10 Meier-Kriesche H-U, Arndorfer JA, Kaplan B. The impact of body mass index on renal transplant outcomes: a significant independent risk factor for graft failure and patient death. Transplantation 2002; 73 (1) 70-74
  • 11 Lynch RJ, Ranney DN, Shijie C, Lee DS, Samala N, Englesbe MJ. Obesity, surgical site infection, and outcome following renal transplantation. Ann Surg 2009; 250 (6) 1014-1020
  • 12 Gore JL, Pham PT, Danovitch GM , et al. Obesity and outcome following renal transplantation. Am J Transplant 2006; 6 (2) 357-363
  • 13 Ott U, Busch M, Steiner T, Schubert J, Wolf G. Renal retransplantation: a retrospective monocentric study. Transplant Proc 2008; 40 (5) 1345-1348
  • 14 Wang D, Xu TZ, Chen JH , et al. Factors influencing second renal allograft survival: a single center experience in China. Transpl Immunol 2009; 20 (3) 150-154
  • 15 Horovitz D, Caumartin Y, Warren J , et al. Outcome of third renal allograft retransplants versus primary transplants from paired donors. Transplantation 2009; 87 (8) 1214-1220
  • 16 Meier-Kriesche HU, Port FK, Ojo AO , et al. Effect of waiting time on renal transplant outcome. Kidney Int 2000; 58 (3) 1311-1317
  • 17 Meier-Kriesche H-U, Kaplan B. Waiting time on dialysis as the strongest modifiable risk factor for renal transplant outcomes: a paired donor kidney analysis. Transplantation 2002; 74 (10) 1377-1381
  • 18 Morales JM, Aguado JM. Hepatitis C and renal transplantation. Curr Opin Organ Transplant 2012; 17 (6) 609-615
  • 19 Carbone M, Mutimer D, Neuberger J. Hepatitis C virus and nonliver solid organ transplantation. Transplantation 2013; 95 (6) 779-786
  • 20 Schaeffner ES, Mehta J, Winkelmayer WC. Educational level as a determinant of access to and outcomes after kidney transplantation in the United States. Am J Kidney Dis 2008; 51 (5) 811-818
  • 21 Waterman AD, Barrett AC, Stanley SL. Optimal transplant education for recipients to increase pursuit of living donation. Prog Transplant 2008; 18 (1) 55-62
  • 22 Goldfarb-Rumyantzev AS, Koford JK, Baird BC , et al. Role of socioeconomic status in kidney transplant outcome. Clin J Am Soc Nephrol 2006; 1 (2) 313-322
  • 23 Morath C, Mueller M, Goldschmidt H, Schwenger V, Opelz G, Zeier M. Malignancy in renal transplantation. J Am Soc Nephrol 2004; 15 (6) 1582-1588
  • 24 Kasiske BL, Zeier MG, Chapman JR , et al. Kidney Disease: Improving Global Outcomes. KDIGO clinical practice guideline for the care of kidney transplant recipients: a summary. Kidney Int 2010; 77 (4) 299-311
  • 25 Organ Procurement and Transplantation Network (OPTN). Regions. Available at: http://optn.transplant.hrsa.gov/converge/members/regions.asp . Accessed August 26, 2013
  • 26 Ellison MD, Edwards LB, Edwards EB, Barker CF. Geographic differences in access to transplantation in the United States. Transplantation 2003; 76 (9) 1389-1394
  • 27 Ross LF, Parker W, Veatch RM, Gentry SE, Thistlethwaite Jr JR. Equal Opportunity Supplemented by Fair Innings: equity and efficiency in allocating deceased donor kidneys. Am J Transplant 2012; 12 (8) 2115-2124