Analytical modelling techniques for enhancing tacrolimus dosing in solid organ transplantation: a systematic review...

Area of Science:

• Pharmacology
• Clinical Pharmacy
• Biostatistics

Background:

• Tacrolimus is a critical immunosuppressant for transplant recipients.
• Its narrow therapeutic index and variable influencing factors complicate optimal dosing.
• Accurate tacrolimus dose prediction is essential for patient outcomes.

Purpose of the Study:

• To systematically review and identify effective analytical modeling techniques for tacrolimus dose prediction.
• To assess methods for optimizing tacrolimus dosage in solid organ transplant recipients.

Main Methods:

• Adherence to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.
• Comprehensive literature search across major databases (Ovid/MEDLINE, PubMed/MEDLINE, Scopus, Embase, Web of Science) and search engines.
• Inclusion of diverse study designs (randomized, non-randomized, cross-sectional, qualitative, before-and-after) published in English or French.

Main Results:

• The review synthesizes findings on various analytical modeling techniques applied to tacrolimus dosing.
• Identifies strengths and limitations of different predictive models.
• Provides an overview of current approaches to tacrolimus dose optimization.

Conclusions:

• Effective analytical modeling techniques can significantly aid in predicting optimal tacrolimus doses.
• This systematic review offers valuable insights for clinicians and researchers aiming to refine immunosuppressive therapy.
• Further research may focus on developing and validating advanced predictive models for personalized tacrolimus dosing.