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Efficacy and Outcomes of CYP3A5 Genotype-Based Tacrolimus Dosing Compared to Conventional Body Weight-based Dosing in Living Donor Kidney Transplant Recipients. | LitMetric

AI Article Synopsis

Article Abstract

Introduction: Clinical use of tacrolimus has been challenging due to its narrow therapeutic index and highly variable pharmacokinetics. In this study, we compared patients who received body weight-based tacrolimus dosing pre-transplant (transplanted from 2016 to 2018) with those who received CYP3A5 genotype-based dosing (2018 to 2020).

Methods: Eighty-two renal transplant recipients were non-randomly assigned to genotype-adapted or bodyweight-based tacrolimus dosing groups. The primary end point was to study the proportion of subjects who achieved the target tacrolimus C on post-op day 4. Secondary end points included clinical outcomes and safety.

Results: The proportion of subjects who achieved the target tacrolimus C on postoperative days 4 and 10 were significantly higher in the adapted group, 53.6% and 47.5%, compared to 24.3% and 17% in controls, respectively ( = 0.01). Adapted group subjects achieved their first target tacrolimus C significantly earlier (4 days) compared to 25 days in controls ( = 0.01). The total number of tacrolimus dose modifications required in the first postop month were lower in the adapted group; 47 compared to 68 in the controls ( = 0.05). The proportion of subjects with sub-therapeutic tacrolimus exposure on postoperative day 4 was significantly higher in the controls, 56% versus 10% in the adapted group ( < 0.001). There were no significant differences between the groups in the rate of biopsy proven acute rejections, adverse events, and graft function at the end of 3 months follow up.

Conclusion: Genotype-based tacrolimus dosing leads to more subjects achieving the target tacrolimus C earlier. However, there may be a higher risk of tacrolimus nephrotoxicity.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9267083PMC
http://dx.doi.org/10.4103/ijn.IJN_278_20DOI Listing

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