title: The effect of donor-recipient body surface area ratio on donor age and donor glomerular filtration rate in Chinese patients undergoing a living-donor kidney transplant.
abstract: OBJECTIVE
  The purpose of this study was to evaluate the effect of donor-recipient body surface area ratio on donor age and donor glomerular filtration rate in living-donor kidney transplant.
  
  
  METHODS
  This retrospective study included 254 rejection-free patients who underwent their first living-donor kidney transplant at our center between April 2007 and April 2011. We performed multivariate linear regression and receiver operating characteristic curve analyses to determine independent associations and the cumulative effects on posttransplant graft function and outcomes in persons in China who had a living-donor kidney transplant.
  
  
  RESULTS
  In multivariate linear regression, donor age, donor estimated glomerular filtration rate, and donor-recipient body surface area ratio were independent predictors of 1-year graft function. Linear regression showed that correcting donor age by donor-recipient body surface area ratio increased the strength of the correlation between donor age and 1-year graft function. In the older group (donor age ≥ 45 y), the effect of donor-recipient body surface area ratio on graft function was stronger. By considering the 1-year donor estimated glomerular filtration rate in 2 groups (< 60 or ≥ 60 mL/min/1.73 m(2)), the cutoff values for corrected donor age was 55 years and donor estimated glomerular filtration rate before surgery was 113 mL/min/1.73 m(2).
  
  
  CONCLUSIONS
  By correcting for donor-recipient body surface area ratio, donor age accurately predicted and correlated better with 1 year graft function. During preoperative evaluation donor and recipient body surface area matching may be useful.
authors.affiliation: From the Kidney Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University; Key Laboratory of Multiple Organ Transplantation, Ministry of Health, Hangzhou, Zhejiang, China.
authors.forename: Junhao
authors.initials: J
authors.lastname: Lv
authors.forename: Suri
authors.initials: S
authors.lastname: Guga
authors.forename: Hongfeng
authors.initials: H
authors.lastname: Huang
authors.forename: Rending
authors.initials: R
authors.lastname: Wang
authors.forename: Xiaohui
authors.initials: X
authors.lastname: Zhang
authors.forename: Zhangfei
authors.initials: Z
authors.lastname: Shou
authors.forename: Jianghua
authors.initials: J
authors.lastname: Chen
authors.forename: Jianyong
authors.initials: J
authors.lastname: Wu
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D019540:Area Under Curve; D044466:Asian People; D001830:Body Surface Area; D002681:China; D005260:Female; D005919:Glomerular Filtration Rate; D006084:Graft Rejection / Q000175:diagnosis / Q000209:etiology; D006801:Humans; D007668:Kidney / Q000503:physiopathology / Q000601:surgery*; D007676:Kidney Failure, Chronic / Q000175:diagnosis / Q000208:ethnology / Q000503:physiopathology / Q000601:surgery*; D016030:Kidney Transplantation / Q000009:adverse effects / Q000379:methods*; D016014:Linear Models; D019520:Living Donors; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D011237:Predictive Value of Tests; D012372:ROC Curve; D012189:Retrospective Studies; D018570:Risk Assessment; D012307:Risk Factors; D013997:Time Factors; D066027:Transplant Recipients; D016896:Treatment Outcome; D055815:Young Adult