title: Donor factors influencing graft outcomes in live donor kidney transplantation.
abstract: Living donor renal allograft survival is superior to that achieved from deceased donors, although graft outcome is suboptimal in some of these patients. In an effort to identify the subset of patients at high risk for poor outcomes we studied donor risk factors in 248 living kidney donor-recipient pairs. Unadjusted donor (125)I-iothalamate GFR (iGFR), donor age more than 45 years, donor total cholesterol level less than 200 mg/dL, and donor systolic blood pressure (SBP) less than 120 mm Hg were correlated with allograft estimated glomerular filtration rate (eGFR), and incidence of acute rejection (AR), delayed graft function and/or graft loss at 2 years posttransplantation. Donor iGFR less than 110 mL/min (slope=-7.40, P<0.01), donors more than 45 years (slope=-8.76, P<0.01), donor total cholesterol levels more than 200 mg/dL (slope=-10.03, P<0.01), and SBP more than 120 mm Hg (slope=-5.60, P=0.03) were associated with lower eGFR. By multivariable linear regression analysis these variables remained independently associated with lower eGFR, and poorer outcomes. The increasing number of donor factors (age, iGFR, cholesterol, and blood pressure) was directly associated with worse posttransplant eGFR (P<0.01). In conclusion, our data suggest that routine assessment of living donor parameters could supplement the consideration of recipient characteristics in predicting posttransplant risk of graft injury/dysfunction.
authors.affiliation: Department of Nephrology and Hypertension, Cleveland Clinic, Cleveland, OH 44195, USA.
authors.forename: Naim
authors.initials: N
authors.lastname: Issa
authors.forename: Brian
authors.initials: B
authors.lastname: Stephany
authors.forename: Richard
authors.initials: R
authors.lastname: Fatica
authors.forename: Saul
authors.initials: S
authors.lastname: Nurko
authors.forename: Venkatesh
authors.initials: V
authors.lastname: Krishnamurthi
authors.forename: David A
authors.initials: DA
authors.lastname: Goldfarb
authors.forename: William E
authors.initials: WE
authors.lastname: Braun
authors.forename: Vincent W
authors.initials: VW
authors.lastname: Dennis
authors.forename: Peter S
authors.initials: PS
authors.lastname: Heeger
authors.forename: Emilio D
authors.initials: ED
authors.lastname: Poggio
mesh_terms: D000208:Acute Disease; D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D000704:Analysis of Variance; D001794:Blood Pressure; D002784:Cholesterol / Q000097:blood; D005190:Family; D005260:Female; D005919:Glomerular Filtration Rate; D006084:Graft Rejection / Q000453:epidemiology; D006801:Humans; D016030:Kidney Transplantation / Q000401:mortality / Q000502:physiology*; D019520:Living Donors / Q000145:classification* / Q000706:statistics & numerical data; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D012086:Reoperation / Q000706:statistics & numerical data; D012189:Retrospective Studies; D016019:Survival Analysis; D013997:Time Factors; D014184:Transplantation, Homologous; D016896:Treatment Outcome
chemical_list: D002784:Cholesterol