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Li M, Zhao Y, Humar A, Tevar AD, Hughes C, Venkataramanan R. Pharmacokinetics of drugs in adult living donor liver transplant patients: regulatory factors and observations based on studies in animals and humans. Expert Opin Drug Metab Toxicol 2016; 12:231-43. [PMID: 26809188 DOI: 10.1517/17425255.2016.1139575] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
INTRODUCTION Limited information is available on the pharmacokinetics of drugs in the donors and recipients following adult living donor liver transplantation (LDLT). Given that both the donors and recipients receive multiple drug therapies, it is important to assess the pharmacokinetics of drugs used in these patients. AREAS COVERED Pathophysiological changes that occur post-surgery and regulatory factors that may influence pharmacokinetics of drugs, especially hepatic drug metabolism and transport in both LDLT donors and the recipients are discussed. Pharmacokinetic data in animals with partial hepatectomy are presented. Clinical pharmacokinetic data of certain drugs in LDLT recipients are further reviewed. EXPERT OPINION It takes up to six months for the liver volume to return to normal after LDLT surgery. In the LDLT recipients, drug exposure generally is higher with lower clearance during early period post-transplant; lower initial dosages of immunosuppressants are used than deceased donor liver transplant recipients during the first six months post-transplantation. In animals, the activities of hepatic drug metabolizing enzymes and transporters are known to be altered differentially during liver regeneration. Future studies on the actual hepatic function with reference to drug metabolism, drug transport, and biliary secretion in both LDLT donors and recipients are required.
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Affiliation(s)
- Mi Li
- a Department of Pharmaceutical Sciences, School of Pharmacy , University of Pittsburgh , Pittsburgh , PA , USA.,b School of Medicine , Tsinghua University , Beijing , China
| | - Yang Zhao
- a Department of Pharmaceutical Sciences, School of Pharmacy , University of Pittsburgh , Pittsburgh , PA , USA.,c Office of Pharmaceutical Quality , Center for Drug Evaluation and Research, US Food and Drug Administration , Silver Spring , MD , USA
| | - Abhinav Humar
- d Department of Surgery, School of Medicine , Thomas Starzl Transplantation Institute , Pittsburgh , PA , USA
| | - Amit D Tevar
- d Department of Surgery, School of Medicine , Thomas Starzl Transplantation Institute , Pittsburgh , PA , USA
| | - Christopher Hughes
- d Department of Surgery, School of Medicine , Thomas Starzl Transplantation Institute , Pittsburgh , PA , USA
| | - Raman Venkataramanan
- a Department of Pharmaceutical Sciences, School of Pharmacy , University of Pittsburgh , Pittsburgh , PA , USA.,d Department of Surgery, School of Medicine , Thomas Starzl Transplantation Institute , Pittsburgh , PA , USA.,e Magee Womens Research Institute , Pittsburgh , PA , USA.,f Department of Pathology , School of Medicine, University of Pittsburgh , Pittsburgh , PA , USA
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Pomposelli JJ, Tongyoo A, Wald C, Pomfret EA. Variability of standard liver volume estimation versus software-assisted total liver volume measurement. Liver Transpl 2012; 18:1083-92. [PMID: 22532341 DOI: 10.1002/lt.23461] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The estimation of the standard liver volume (SLV) is an important component of the evaluation of potential living liver donors and the surgical planning for resection for tumors. At least 16 different formulas for estimating SLV have been published in the worldwide literature. More recently, several proprietary software-assisted image postprocessing (SAIP) programs have been developed to provide accurate volume measurements based on the actual anatomy of a specific patient. Using SAIP, we measured SLV in 375 healthy potential liver donors and compared the results to SLV values that were estimated with the previously published formulas and each donor's demographic and anthropomorphic data. The percentage errors of the 16 SLV formulas versus SAIP varied by more than 59% (from -21.6% to +37.7%). One formula was not statistically different from SAIP with respect to the percentage error (-1.2%), and another formula was not statistically different with respect to the absolute liver volume (18 mL). More than 75% of the estimated SLV values produced by these 2 formulas had percentage errors within ±15%, and the formulas provided good predictions within acceptable agreement (±15%) on scatter plots. Because of the wide variability, care must be taken when a formula is being chosen for estimating SLV, but the 2 aforementioned formulas provided the most accurate results with our patient demographics.
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Affiliation(s)
- James J Pomposelli
- Department of Transplantation and Hepatobiliary Diseases, Lahey Clinic Medical Center, Burlington, MA 01805, USA.
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The population pharmacokinetics of fentanyl in patients undergoing living-donor liver transplantation. Clin Pharmacol Ther 2011; 90:423-31. [PMID: 21814196 DOI: 10.1038/clpt.2011.133] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Fentanyl, an opioid analgesic with a high hepatic extraction ratio, is frequently used to supplement general anesthesia during liver transplantation and is also continuously infused to provide postoperative analgesia. However, because fentanyl is metabolized mainly in the liver, the pharmacokinetics of fentanyl may vary widely during the different phases of the surgery, potentially leading to adverse events. Using nonlinear mixed-effects modeling, we characterized the pharmacokinetics of fentanyl in 15 patients (American Society of Anesthesiologists Physical Status Classification 2 or 3) undergoing living-donor liver transplantation (LDLT). Fentanyl was continuously infused at the rate of 200-400 µg/h throughout the operation. The time course of the fentanyl plasma concentration levels was best described in terms of a two-compartment model. Estimates were made of the pharmacokinetic parameters during the preanhepatic, anhepatic, and neohepatic phases: central volume of distribution (V(1)) (l): 59.0 + hourly volume infused by rapid infusion system (RIS) × 42.5, 113.0, and 189.0, respectively, × (body weight/69)(1.3); peripheral volume of distribution (V(2)) (l): 94.3, 412.0, and 427.0, respectively; intercompartmental clearance (Q) (l/h): 96.4 × (cardiac output (CO)/6.7)(2.5), 22.6, and 28.2, respectively; metabolic clearance (Cl) (l/h): 21.7 during the preanhepatic and neohepatic phases, and 0 during the anhepatic phase. The preanhepatic central volume of distribution was found to be markedly influenced by the massive infusion of fluids and blood products. The more hyperdynamic the circulation was during the preanhepatic phase, the higher the distributional clearance.
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