TY - JOUR
T1 - Mortality in Living Kidney Donors With ESRD
T2 - A Propensity Score Analysis Using the United States Renal Data System
AU - Brar, Amarpali
AU - Stefanov, Dimitre G.
AU - Jindal, Rahul M.
AU - Salifu, Moro O.
AU - Joshi, Madhu
AU - Cadet, Bair
AU - Nee, Robert
N1 - Publisher Copyright:
© 2018
PY - 2018/9
Y1 - 2018/9
N2 - Introduction: In recent years, data have emerged on the outcomes of living kidney donors who develop end-stage renal disease (ESRD). We aimed to evaluate mortality rates in kidney donors who had initiated dialysis compared with a propensity-matched cohort of dialysis patients without previous kidney donation. Methods: We used the United States Renal Data System (USRDS) and abstracted 274 previous living kidney donors between 1995 and 2009. There were 609,398 individuals on dialysis without kidney donation. We used propensity score matching to identify 258 donors and 258 nondonors. The time-dependent Cox proportional hazards model was used to compare survival between the 2 matched cohorts. Results: In the propensity score−matched cohort, mortality was lower in donors compared with nondonors (19% vs. 49%; P < 0.0001). The time-dependent Cox proportional hazards model demonstrated that donors had significantly lower mortality compared with nondonors 0 to 5 years since start of dialysis (hazard ratio [HR]: 0.17; 95% confidence interval [CI] 0.11−0.27; P < 0.0001) and with nondonors 5 to 10 years on dialysis (HR: 0.34; 95% CI: 0.19−0.63; P < 0.001). We were unable to estimate the difference between the 2 groups after 10 years on dialysis with any precision (HR: 0.51; 95% CI: 0.18−1.42; P = 0.20) due to the small sample size. Conclusion: We observed a lower mortality rate in living kidney donors with ESRD compared with matched nondonors. This data should guide clinicians in the informed consent process with prospective donors.
AB - Introduction: In recent years, data have emerged on the outcomes of living kidney donors who develop end-stage renal disease (ESRD). We aimed to evaluate mortality rates in kidney donors who had initiated dialysis compared with a propensity-matched cohort of dialysis patients without previous kidney donation. Methods: We used the United States Renal Data System (USRDS) and abstracted 274 previous living kidney donors between 1995 and 2009. There were 609,398 individuals on dialysis without kidney donation. We used propensity score matching to identify 258 donors and 258 nondonors. The time-dependent Cox proportional hazards model was used to compare survival between the 2 matched cohorts. Results: In the propensity score−matched cohort, mortality was lower in donors compared with nondonors (19% vs. 49%; P < 0.0001). The time-dependent Cox proportional hazards model demonstrated that donors had significantly lower mortality compared with nondonors 0 to 5 years since start of dialysis (hazard ratio [HR]: 0.17; 95% confidence interval [CI] 0.11−0.27; P < 0.0001) and with nondonors 5 to 10 years on dialysis (HR: 0.34; 95% CI: 0.19−0.63; P < 0.001). We were unable to estimate the difference between the 2 groups after 10 years on dialysis with any precision (HR: 0.51; 95% CI: 0.18−1.42; P = 0.20) due to the small sample size. Conclusion: We observed a lower mortality rate in living kidney donors with ESRD compared with matched nondonors. This data should guide clinicians in the informed consent process with prospective donors.
KW - United States Renal Data System
KW - kidney donors
KW - mortality rate in living kidney donors
KW - propensity score–matched cohort
UR - http://www.scopus.com/inward/record.url?scp=85048526790&partnerID=8YFLogxK
U2 - 10.1016/j.ekir.2018.04.005
DO - 10.1016/j.ekir.2018.04.005
M3 - Article
AN - SCOPUS:85048526790
SN - 2468-0249
VL - 3
SP - 1050
EP - 1056
JO - Kidney International Reports
JF - Kidney International Reports
IS - 5
ER -