Evidence map›Paper›PMID 41497350›Full record

ArticleDrug design, development and therapy2025

Impact of High Tacrolimus Exposure on Graft Function and Development of a Prediction Model in Kidney Transplant Recipients: A Single-Center Retrospective Cohort Study.

Wenyu Yang, Renfei Xia, Peijin Zhao, Juanhua Du, Rumin Liu, Wenli Zeng, Yan Chen, Xin Luo, Ping Zheng, Yilei Li and 1 more

Abstract read
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Article in Drug design, development and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Wenyu Yang *Department of Pharmacy, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Renfei Xia *Department of Transplantation, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Peijin ZhaoDepartment of Pharmacy, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Juanhua DuDepartment of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Rumin LiuDepartment of Transplantation, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Wenli ZengDepartment of Transplantation, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Yan ChenDepartment of Pharmacy, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Xin LuoDepartment of Pharmacy, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Ping ZhengDepartment of Pharmacy, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Yilei LiDepartment of Pharmacy, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Liqian MoDepartment of Pharmacy, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To evaluate the association between early supratherapeutic tacrolimus exposure (trough concentration >20 ng/mL within the first postoperative week) and graft outcomes in kidney transplant recipients, and to develop a prediction model for this early high exposure. Patients and Methods: This single-center retrospective cohort study included 210 kidney transplant recipients (105 exposed, 105 non-exposed) after propensity score matching. Renal function (eGFR, cystatin C) and infection rates over the first year were compared using linear mixed-effects models with multiple imputation. A Cox proportional hazards model with LASSO variable selection was developed to predict the risk of high exposure. Results: The exposed group had significantly lower eGFR at 7 days, 1, and 3 months (adjusted mean differences: -11.32, -10.20, -10.75 mL/min/1.73 m Conclusion: Early high tacrolimus exposure is associated with impaired renal function and increased infection risk in the first year after transplantation. A prediction model incorporating genetic, inflammatory, and dosing factors could aid in early risk stratification.

Indexed as

Immunosuppressive AgentsKidney TransplantationTacrolimusAdultCohort StudiesDose-Response Relationship, DrugFemaleGlomerular Filtration RateHumansMaleMiddle AgedRetrospective StudiesImmunosuppressive AgentsTacrolimusearly exposurepharmacogenomicspredictive modelrisk predictiontherapeutic drug monitoring

Identifiers

PMID41497350
PMCPMC12766124

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.