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Quantification of the Immunosuppressant Tacrolimus on Dried Blood Spots Using LC-MS/MS
Published on: November 8, 2015
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High Tacrolimus Intra-Patient Variability and Adverse Outcomes in Cardiac Transplant Recipients: A Single-Center
Zhenzhen Wang1, Hua Zheng1, Mian Zhang1
1Department of Emergency and Critical Care Medicine, The Seventh People's Hospital of Zhengzhou, Zhengzhou, China.
Clinical Transplantation
|December 30, 2025
Summary
High tacrolimus intra-patient variability (IPV) in cardiac transplant recipients increases infection risk. Tacrolimus IPV monitoring can help predict adverse postoperative outcomes.
Area of Science:
- Immunology
- Pharmacology
- Transplantation Medicine
Background:
- Tacrolimus is a crucial immunosuppressant in cardiac transplantation.
- Maintaining stable tacrolimus levels is vital for graft survival and preventing adverse events.
- Tacrolimus intra-patient variability (IPV) may impact patient prognosis.
Purpose of the Study:
- To investigate the association between tacrolimus intra-patient variability (IPV) and the prognosis of cardiac transplant recipients.
- To determine if high tacrolimus IPV is linked to increased risks of infection, rejection, or mortality.
Main Methods:
- Tacrolimus trough concentrations (C0) were collected from 202 cardiac transplant recipients between postoperative months 3-6.
- Dose-adjusted IPV was calculated, and patients were categorized into high-IPV and low-IPV groups.
- The composite endpoint included infection, rejection, or mortality.
Main Results:
- The high-IPV group exhibited a significantly higher incidence of infections (34.8% vs. 21.1%).
- High tacrolimus IPV was associated with approximately 2.2 times higher risk of infection and 2.1 times higher risk of the composite endpoint.
- No significant differences in rejection or mortality were found between groups.
Conclusions:
- Elevated tacrolimus IPV in cardiac transplant recipients is associated with an increased risk of adverse events, particularly infections.
- Tacrolimus IPV serves as a practical tool for predicting postoperative complications in these patients.
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