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Additionally, we aimed to validate existing strategies, and to describe the pharmacokinetics of MPA and its inactive metabolite, MPA\u2010glucuronide (MPAG), in our cohort. We analysed data from dense pharmacokinetic sampling from 15 steroid\u2010free kidney\u2010transplanted patients, which were prospectively enrolled as part of larger cohort. Drug concentration was analysed in plasma (MPA, MPAG) or in whole blood (tacrolimus) using LC\u2013MS. Exposure (AUC<jats:sub>0\u201012h<\/jats:sub>) was based on non\u2010compartmental analysis (MPA, MPAG) or model\u2010derived (tacrolimus). Limited sampling strategies were developed using multiple stepwise linear regression analysis and evaluated for bias and imprecision and using Bland\u2013Altman analysis. Median AUC<jats:sub>0\u201012h<\/jats:sub> was 31.2\u2009\u03bcg\/mL\u00b7h, 346.6\u2009\u03bcg\/mL\u00b7h and 81.9\u2009ng\/mL\u00b7h for MPA, MPAG and tacrolimus, respectively. Limited sampling strategies incorporating measurements at C<jats:sub>0<\/jats:sub> and C<jats:sub>1.5<\/jats:sub>, or at C<jats:sub>0<\/jats:sub>, C<jats:sub>0.5<\/jats:sub> and C<jats:sub>1.5<\/jats:sub> could predict MPA and tacrolimus AUC<jats:sub>0\u201012h<\/jats:sub> with low (&lt;\u200915%) bias and imprecision. None of the previous strategies could adequately predict MPA AUC<jats:sub>0\u201012h<\/jats:sub>. Limited sampling strategies for MPA and tacrolimus can potentially replace full pharmacokinetic profiling in steroid\u2010free kidney transplant patients. External validation is needed before implementation.<\/jats:p><\/jats:sec><jats:sec><jats:title>Summary<\/jats:title><jats:p>Kidney\u2010transplanted patients are treated with immunosuppressive drugs throughout the lifespan of the transplanted organ. In this study, we aimed to derive mathematical equations that can simultaneously predict the total oral drug exposure of two of these drugs (tacrolimus and mycophenolate mofetil) based on few blood samples. We analysed drug concentration in blood samples from 15 patients, calculated their exposure and assessed how accurately the mathematical equations could predict the exposure. We could predict the total drug exposure from two or three samples, and these equations can be used in future research and in the clinic to ensure proper immunosuppressive levels.<\/jats:p><\/jats:sec>","DOI":"10.1111\/bcpt.70056","type":"journal-article","created":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T01:33:38Z","timestamp":1750728818000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Limited Sampling Strategies to Predict Mycophenolic Acid and Tacrolimus Area Under the Concentration\u2013Time Curve in Steroid\u2010Free Kidney Transplant Patients"],"prefix":"10.1111","volume":"137","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4961-4797","authenticated-orcid":false,"given":"Katrine","family":"Agergaard","sequence":"first","affiliation":[{"name":"Department of Regional Health Research University of Southern Denmark  Esbjerg Denmark"},{"name":"Department of Nephrology Odense University Hospital  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