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Bayesian optimization of tacrolimus exposure in stable kidney transplant patients.
Nguyen, Thomas D; Smith, Nicholas M; Attwood, Kris; Gundroo, Aijaz; Chang, Shirley; Yonis, Mahfuz; Murray, Brian; Tornatore, Kathleen M.
Afiliação
  • Nguyen TD; School of Pharmacy & Pharmaceutical Sciences, University at Buffalo, Buffalo, New York, USA.
  • Smith NM; New York State Center for Excellence in Bioinformatics and Life Sciences, Buffalo, New York, USA.
  • Attwood K; School of Pharmacy & Pharmaceutical Sciences, University at Buffalo, Buffalo, New York, USA.
  • Gundroo A; New York State Center for Excellence in Bioinformatics and Life Sciences, Buffalo, New York, USA.
  • Chang S; Biostatistics, School of Public Health and Health Professions, Buffalo, New York, USA.
  • Yonis M; Division of Nephrology, Department of Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, USA.
  • Murray B; Division of Nephrology, Department of Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, USA.
  • Tornatore KM; Erie County Medical Center, Buffalo, New York, USA.
Pharmacotherapy ; 43(10): 1032-1042, 2023 Oct.
Article em En | MEDLINE | ID: mdl-37452631
STUDY OBJECTIVE: The objective was to compare tacrolimus AUC0-12 determined by Non-Compartmental Analysis (NCA) using intensive sampling to Maximum a Posteriori-Bayesian (MAP-Bayesian) estimates from robust (n = 9 samples/subject) and sparse (n = 2 samples/subject) sampling in 67 stable KTRs and a validation group of similar patients. DESIGN: This open-label, prospective, single center 12-h PK study included nine serial samples collected in KTRs to determine steady-state NCA tacrolimus AUC0-12 . SETTING: This study was conducted at a single site within a large, urban hospital in the western New York area. PATIENTS: This study described tacrolimus pharmacokinetics in stable kidney transplant recipients on maintenance tacrolimus therapy. INTERVENTION: Robust and sparse AUC0-12 estimates by a MAP-Bayesian approach were obtained using the Advanced Dosing Solutions (AdDS) and ADAPT5 freeware. Limited sampling strategies were evaluated using the original population PK model (n = 67), which was also assessed using a validation group (n = 15). AUC0-12 agreement was tested by paired t-tests with intraclass correlation coefficient (ICC) and Bland Altman analysis. MEASUREMENTS AND MAIN RESULTS: A total of 35 Black and 32 White stable KTRs (estimated glomerular filtration rate [eGFR] = 55.2 ± 15.7 mL/min/1.73m2 ) received the tacrolimus dose of 3.4 ± 1.7 mg/study with troughs of 6.8 ± 1.8 ng/mL. The NCA-AUC0-12 was 123.8 ± 33.6 µg·h/L compared to MAP-Bayesian estimates for Robust-AUC0-12 of 124.7 ± 33.3 µg·h/L and optimal 2-specimen Sparse-AUC0-12 of 119.7 ± 32.7 µg·h/L for the training group. Comparison of Robust-AUC0-12 to NCA-AUC0-12 had an ICC of 0.96 (p = 0.99) while comparison of Robust-AUC0-12 to Sparse-AUC0-12 using Pre-dose trough [C(t0h )] and 1 h [C(t1h )] resulted in an ICC of 0.93 (p = 0.014). In the validation group, 5 Black and 10 White KTRs (eGFR = 56.4 ± 16.8 mL/min/1.73m2 ) received a mean tacrolimus dose of 1.9 ± 1.2 mg/study with a trough of 6.0 ± 1.7 ng/mL. The validation group's NCA-AUC0-12 (88.4 ± 33.1 µg·h/L) was comparable to Robust-AUC0-12 (85.1 ± 33.8 µg·h/L, ICC = 0.93; p = 0.12) and Sparse-AUC0-12 determined from C(t0h ) and C(t4h ) (86.7 ± 33.9 µg·h/L, ICC = 0.91; p = 0.61). CONCLUSION: MAP-Bayesian estimation for patient-specific AUC0-12 using sparse, two-specimen sampling is comparable to NCA and may enhance tacrolimus TDM in stable KTRs.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transplante de Rim / Tacrolimo Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transplante de Rim / Tacrolimo Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article