Transplantation proceedings · 2024
Optimal Timing of Serum Creatinine Measurement for KDPI Scoring to Predict Postoperative Renal Function in Deceased Donor Kidney Transplantation.
СтатьяНазвание и аннотация: Перевод в очереди
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Jun Heungman, Oh Young Ju, Jung Cheol Woong, Jang Youngjin, Jung Sung Won, Jo Hyung Ah, Han Kum Hyun, Han Sang Youb
Аннотация
INTRODUCTION: The widely employed Kidney Donor Profile Index (KDPI) scoring system, designed for assessing deceased donors (DD), plays a pivotal role in predicting graft function post kidney transplantation (KT). Given the dynamic nature of renal function, including serum creatinine (sCr), in managing DDs, it remains uncertain optimal timing to use KDPI for assessing postoperative graft function.
METHODS: In this retrospective review, we assessed 246 DDs who were managed within a donor management program from January 2010 to December 2021. We collected sCr values for KDPI scoring at admission, peak, and last measurements before KT. Recipient data included occurrence of slow graft function (SGF), delayed graft function (DGF), and glomerular filtration rate (GFR) at one-year post-transplantation (1 Y). Using Receiver Operating Characteristic (ROC) and Pearson correlation analyses, we explored correlations of KDPI score (admission, peak, last) with graft function (SGF, DGF, GFR 1 Y).
RESULTS: The average age of DDs and recipients was 49.78 ± 13.37 and 52.54 ± 10.49 years, respectively, with mean KDPI values at admission, peak, and last measurements of 62.36 ± 25.44, 66.94 ± 24.73, and 63.75 ± 25.80. After transplantation, SGF was observed in 81 recipients (32.9%) and DGF in 32 (13.0%). For SGF, the Area Under the Curve (AUC) from ROC analysis were 0.684 (95% CI, 0.615-0.753; P < .001) at admission, 0.691 (0.623-0.759; P < .001) at peak, and 0.697 (0.630-0.765; P < .001) at the last measurement. In predicting DGF, the corresponding AUC values were 0.746 (0.661-0.831; P < .001) at admission, 0.724 (0.637-0.810; P < .001) at peak, and 0.721 (0.643-0.809; P < .001) at the last. Moreover, KDPI scores at all time points-admission, peak, and last-moderately correlated with GFR 1 Y (R = -0.426, -0.423, -0.417).
CONCLUSION: KDPI measurements at all time points, particularly admission, would be more effective in predicting DGF in DDKT.
METHODS: In this retrospective review, we assessed 246 DDs who were managed within a donor management program from January 2010 to December 2021. We collected sCr values for KDPI scoring at admission, peak, and last measurements before KT. Recipient data included occurrence of slow graft function (SGF), delayed graft function (DGF), and glomerular filtration rate (GFR) at one-year post-transplantation (1 Y). Using Receiver Operating Characteristic (ROC) and Pearson correlation analyses, we explored correlations of KDPI score (admission, peak, last) with graft function (SGF, DGF, GFR 1 Y).
RESULTS: The average age of DDs and recipients was 49.78 ± 13.37 and 52.54 ± 10.49 years, respectively, with mean KDPI values at admission, peak, and last measurements of 62.36 ± 25.44, 66.94 ± 24.73, and 63.75 ± 25.80. After transplantation, SGF was observed in 81 recipients (32.9%) and DGF in 32 (13.0%). For SGF, the Area Under the Curve (AUC) from ROC analysis were 0.684 (95% CI, 0.615-0.753; P < .001) at admission, 0.691 (0.623-0.759; P < .001) at peak, and 0.697 (0.630-0.765; P < .001) at the last measurement. In predicting DGF, the corresponding AUC values were 0.746 (0.661-0.831; P < .001) at admission, 0.724 (0.637-0.810; P < .001) at peak, and 0.721 (0.643-0.809; P < .001) at the last. Moreover, KDPI scores at all time points-admission, peak, and last-moderately correlated with GFR 1 Y (R = -0.426, -0.423, -0.417).
CONCLUSION: KDPI measurements at all time points, particularly admission, would be more effective in predicting DGF in DDKT.