TY - JOUR
T1 - Recipient Criteria Predictive of Graft Failure in Kidney Transplantation
AU - Molmenti, Ernesto P.
AU - Alex, Asha
AU - Rosen, Lisa
AU - Alexander, Mohini
AU - Nicastro, Jeffrey
AU - Yang, Jingyan
AU - Siskind, Eric
AU - Alex, Leesha
AU - Sameyah, Emil
AU - Bhaskaran, Madhu
AU - Ali, Nicole
AU - Basu, Amit
AU - Sachdeva, Mala
AU - Agorastos, Stergiani
AU - Rajendran, Prejith
AU - Krishnan, Prathik
AU - Ramadas, Poornima
AU - Amodu, Leo
AU - Cagliani, Joaquin
AU - Rehman, Sameer
AU - Kressel, Adam
AU - Sethna, Christine B.
AU - Sotiropoulos, Georgios C.
AU - Radtke, Arnold
AU - Sgourakis, George
AU - Schwarz, Richard
AU - Fishbane, Steven
AU - Bellucci, Alessandro
AU - Coppa, Gene
AU - Rilo, Horacio
AU - Molmenti, Christine L.
N1 - Publisher Copyright:
© 2016 by Thieme Medical Publishers, Inc.; 333 Seventh Avenue, New York, NY 10001, USA.
PY - 2015/1/28
Y1 - 2015/1/28
N2 - 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.
AB - 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.
KW - comorbidities
KW - geographic disparities
KW - graft failure
KW - kidney transplant recipients
KW - outcomes predictors
KW - patient education
UR - https://www.scopus.com/pages/publications/84959045709
U2 - 10.1055/s-0035-1563605
DO - 10.1055/s-0035-1563605
M3 - Article
AN - SCOPUS:84959045709
SN - 1061-1711
VL - 25
SP - 29
EP - 38
JO - International Journal of Angiology
JF - International Journal of Angiology
IS - 1
M1 - 140093
ER -