Literature DB >> 28340806

Average Tacrolimus Trough Level in the First Month After Transplantation May Predict Acute Rejection.

S Aktürk1, Ş Erdoğmuş2, G Kumru2, A H Elhan3, Ş Şengül2, A Tüzüner4, K Keven2.   

Abstract

BACKGROUND: Although tacrolimus is one of the essential drugs used for the prevention of rejection in kidney recipients, target trough levels are not well established. In this study, we aimed to investigate the association between average tacrolimus trough levels (TTLs) of the first month after transplantation and biopsy-proven acute rejection (BPAR) during the first 12 months after transplant.
METHODS: A total of 274 patients who underwent kidney-alone transplantation between 2002 and 2014 were enrolled in the study. Average TTLs of the first month were assessed by means of receiver operating characteristic (ROC) curve analysis to discriminate patients with and those without BPAR. Univariate and multivariate Cox proportional hazards models were used to determine the effect of average TTLs of the first month on BPAR.
RESULTS: According to ROC curve analysis, the highest area under the curve (AUC) was obtained from 8 ng/mL (AUC = 0.73 ± 0.11; 95% confidence interval [CI], 0.62-0.84). Forty-two (31.8%) of the 132 patients with average TTLs <8 ng/mL and 13 (9.1%) of 142 patients with ≥8 ng/mL had BPAR during the first 12 months after transplant (P < .001). In univariable analysis, average TTLs of the first month <8 ng/mL were associated with higher risk of BPAR (P < .001), and the significance remained in Cox multivariable analysis (hazard ratio, 2.79; 95% CI, 1.76-3.82; P = .001). No significant differences were observed in the glomerular filtration rate, cytomegalovirus, BK viremia, or BK nephropathy between groups at post-transplant month 12.
CONCLUSIONS: Keeping the average TTLs of the first month after transplantation at ≥8 ng/mL not only prevents BPAR occurrence but also minimizes the toxic effects of the use of a single-trough level.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28340806     DOI: 10.1016/j.transproceed.2017.02.011

Source DB:  PubMed          Journal:  Transplant Proc        ISSN: 0041-1345            Impact factor:   1.066


  3 in total

1.  Tacrolimus Trough Level at the First Month May Predict Renal Transplantation Outcomes Among Living Chinese Kidney Transplant Patients: A Propensity Score-Matched Analysis.

Authors:  Saifu Yin; Turun Song; Yamei Jiang; Xingxing Li; Yu Fan; Tao Lin
Journal:  Ther Drug Monit       Date:  2019-06       Impact factor: 3.681

2.  CYP and SXR gene polymorphisms influence in opposite ways acute rejection rate in pediatric patients with renal transplant.

Authors:  Stefano Turolo; Alberto Edefonti; Luciana Ghio; Sara Testa; William Morello; Giovanni Montini
Journal:  BMC Pediatr       Date:  2020-05-25       Impact factor: 2.125

Review 3.  BK Polyomavirus Nephropathy in Kidney Transplantation: Balancing Rejection and Infection.

Authors:  Chia-Lin Shen; Bo-Sheng Wu; Tse-Jen Lien; An-Hang Yang; Chih-Yu Yang
Journal:  Viruses       Date:  2021-03-16       Impact factor: 5.048

  3 in total

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