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May 31, 2026Medicine0 citationsOpen Access

Integrated prediction of delayed graft function after kidney transplantation using the renal artery resistive index and pretransplant hematological parameters

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MZMin ZhuHangzhou Red Cross HospitalFWFeng WangHangzhou Red Cross Hospital

Key Points

  • This study aims to evaluate the predictive capabilities of the renal artery resistive index combined with hematological parameters for delayed graft function after kidney transplantation.
  • Retrospective cohort study involving 280 adult kidney transplant recipients from January 2022 to December 2024.
  • Patients divided into delayed graft function (DGF, n=88) and non-DGF (n=192) groups based on post-transplant dialysis requirement.
  • Univariate and multivariable logistic regression analyses performed to identify predictors of DGF.
  • Multivariable analysis identified renal artery resistive index, serum creatinine, blood urea nitrogen, and albumin as independent predictors of DGF.
  • Receiver operating characteristic analysis yielded an area under the curve of 0.923 for the predictive model, with sensitivity at 90.91% and specificity at 79.69%.
  • The combined model was associated with postoperative organ dysfunction severity and quality of life outcomes.

Abstract

Delayed graft function (DGF) remains a frequent early complication after kidney transplantation and is associated with prolonged hospitalization and inferior graft outcomes. This retrospective cohort study evaluated whether the renal artery resistive index (RI) combined with pretransplant hematological parameters could improve DGF prediction. Adult recipients who underwent kidney transplantation between January 2022 and December 2024 at Shulan (Hangzhou) Hospital were screened; 280 patients were included and categorized into a DGF group (n = 88) or a non-DGF group (n = 192) according to the requirement for dialysis within the first posttransplant week. Pretransplant blood tests and postoperative Doppler-derived RI were collected. Univariate analyses demonstrated significant between-group differences in RI, serum creatinine, blood urea nitrogen, and albumin, whereas demographic factors, primary kidney disease, dialysis characteristics, leukocyte indices, and immunosuppressive regimen did not differ significantly. In multivariable logistic regression, RI, serum creatinine, blood urea nitrogen, and albumin independently predicted DGF. Receiver operating characteristic analysis showed strong discriminatory performance for the combined model (area under the curve = 0.923; 95% confidence interval: 0.888–0.957), yielding high sensitivity (90.91%) and moderate specificity (79.69%). Stratification by the optimal combined-indicator cutoff further demonstrated associations with postoperative organ dysfunction severity and patient-reported quality of life. These findings support incorporating RI with routine hematological parameters to facilitate early risk stratification for DGF after kidney transplantation.

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Cite This Study

Zhu et al. (2026) studied this question.

synapsesocial.com/papers/6a1bd1555783ba022b6fcdb5https://doi.org/10.1097/md.0000000000048804
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