Background Diethylenetriamine pentaacetic acid (DTPA) and multi-detector computed tomography (MDCT) can predict postoperative estimated glomerular filtration rate (eGFR) in a live kidney donor. Accordingly, we compared predicted eGFR measured by use of DTPA and MDCT. Methods From January 2013 to May 2015, 264 live kidney donors were enrolled. All donors underwent preoperative DTPA and MDCT, and bilateral renal cortex volume was measured by use of MDCT. We estimated DTPA-eGFR [remaining split renal function (%) × preoperative eGFR] and Vol-eGFR [remaining renal volume/total renal volume (%) × preoperative eGFR] and analyzed DTPA-eGFR, Vol-eGFR, and Modification of Diet in Renal Disease (MDRD)-eGFR during week 1 and in months 1, 3, and 6. Additionally, we compared DTPA-eGFR and Vol-eGFR by use of the formula ΔeGFR (maximum eGFR minus minimum eGFR during 6 months). Results The mean DTPA-eGFR and Vol-eGFR values (mL/min/1.73 m2) were 52.97 ± 10.32 and 51.26 ± 10.26, respectively. Predictions of the dominant side did not agree in 113 of 303 (37.3%) cases. Postoperative MDRD-eGFR exhibited a statistically significant correlation with total renal volume, DTPA-eGFR, and Vol-eGFR (P < .0001). A significant correlation was found between ΔeGFR and total renal volume, DTPA-eGFR, and Vol-eGFR (P < .0001). Receiver operating characteristic curves were generated to predict the possibility of eGFR <60 mL/min/1.73 m2 at 6 months, using DTPA-eGFR and Vol-eGFR, which indicated that DTPA-eGFR (area under the curve = 0.858; P < .0001) and Vol-eGFR (area under the curve = 0.878; P < .0001) could predict chronic kidney disease class III at 6 months. Conclusions MDRD-eGFR, Vol-eGFR, and DTPA-eGFR were significantly correlated. Moreover, Vol-eGFR and DTPA-eGFR exhibited high predictive value for chronic kidney disease class III at 6 months, whereas Vol-eGFR was a good predictor of renal function recovery.
|Number of pages||4|
|Publication status||Published - 2017 Jun|
Bibliographical notePublisher Copyright:
© 2017 Elsevier Inc.
All Science Journal Classification (ASJC) codes