Therapeutic Drug Monitoring, Electronic Health Records, and Pharmacokinetic Modeling to Evaluate Sirolimus Drug Exposure-Response Relationships in Renal Transplant Patients

Population pharmacokinetic analysis of sirolimus in Japanese pediatric and adult subjects receiving tablet or granule formulations

A population pharmacokinetic (PopPK) analysis was conducted using data from 215 Japanese administered oral sirolimus (tablet and granule) including healthy subjects and patients with intractable vascular anomalies and other diseases. The analysis included neonates, infants, and adults, and identified covariates that influence sirolimus pharmacokinetics (PK). The final model was used to predict sirolimus trough concentrations for various dosing regimens and covariates of interest. The results showed that sirolimus trough concentrations were predicted to increase with higher levels of hemoglobin, and that the granule formulation had a 1.23-fold higher exposure than the tablet formulation. Coadministration of CYP3A4 inducers was found to decrease trough concentrations by 54 %. The PK simulations showed that administration of the granule formulation at doses of 0.02, 0.04, 0.06, and 0.08 mg/kg/day in ages <3 months, 3 to <6 months, 6 to <12 months, and ≥1 year, respectively, resulted in >70 % target attainment within the therapeutic trough concentration range (5-15 ng/mL). In conclusion, incorporation of time-varying covariates (body weight and age) into the PopPK model appropriately predicted sirolimus concentrations in Japanese subjects from infants to adult sub-populations. This PopPK model would therefore be able to provide a reference for clinical individualization of sirolimus dosing.

Coadministration of fluconazole to boost subtherapeutic sirolimus concentrations: A case report

Individual sirolimus whole blood concentrations are highly variable, critically influenced by the concomitant use of cytochrome P450 (CYP) 3A inducers or inhibitors, and also modulated by food. Therapeutic drug monitoring is therefore recommended, especially at treatment start or in circumstances that can influence sirolimus exposure. In this case report, we highlight the challenge of achieving therapeutic sirolimus concentrations and present pragmatic solutions with regimen adaptions, pharmacokinetic enhancement (use of a drug–drug interaction), concentration monitoring, and subsequent modeling of population pharmacokinetics to support treatment decisions. In a 69-year-old female patient with allogeneic hematopoietic stem cell transplantation, sirolimus concentrations were stable until she developed cerebral toxoplasmosis with tonic–clonic seizures. During treatment of this acute infection, sirolimus concentrations dropped to subtherapeutic levels and remained largely unaffected by dose increases. [Correction added on 4 May 2024, after first online publication: The word “tacrolimus concentrations” has been changed to “sirolimus concentrations” in the preceding sentence.] Only the simultaneous administration of the CYP3A4 inhibitor fluconazole and a shortening of the sirolimus dosing intervals to a (non-approved) twice-daily administration led to successful control of the concentrations, which ultimately even made a dose reduction possible. This intervention resulted in an increase of sirolimus mean trough concentration to 5.85 ng/mL, i.e., into the desired target range. Additionally, a higher ratio of sirolimus trough levels/daily dose from 26.9 to 109 ng/mL/mg/kg/day was achieved with the initiation of fluconazole. Thus, this case report describes the use of clinical pharmacological concepts and pharmacokinetic modeling to optimize treatment strategies in an individual patient. This strategy could be generalized to other CYP inhibitors and other treatment regimens.

Effects of CYP3A5 Genetic Polymorphisms on the Weight-adjusted through Concentration of Sirolimus in Renal Transplant Recipients: A Systematic Review and Meta-analysis

BACKGROUND

Sirolimus, one of the immunosuppressive drugs administered to renal transplant recipients, is metabolized by cytochrome P450 (CYP) 3A5. Accordingly, CYP3A5 polymorphism is a genetic factor affecting sirolimus pharmacokinetics (PK). Therefore, we conducted a systematic review and meta-analysis on the association between sirolimus PK and CYP3A5*3 polymorphism.

METHODS

We searched for studies published up to 13 June 2024 from PubMed, Embase, Cochrane Library, and Web of Science. We reviewed studies on the relationship between CYP3A5*3 polymorphism and weightadjusted trough concentration/dose (C0 /D) ratio and dosage of sirolimus in renal transplant recipients, according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We evaluated mean differences (MDs) and 95% confidence intervals (CIs).

RESULTS

A total of seven studies were included. The weight-adjusted C0 /D ratio of sirolimus was significantly higher in patients with the CYP3A5*3/*3 rather than CYP3A5*1/*1 or CYP3A5*1/*3 genotype (MD 95.27 ng/mL per mg/kg; 95% CI: 58.06, 132.47; I2 = 74%; p < 0.00001). Also, the weight-adjusted dosage of sirolimus was significantly lower in patients with the CYP3A5*3/*3 rather than CYP3A5*1/*1 or CYP3A5*1/*3 genotype (MD -2.60 × 10-3 mg/kg; 95% CI: -4.52, -0.69; I2 = 44%; p = 0.008).

CONCLUSION

Our meta-analysis showed a significant effect for the CYP3A5*3 genotype on weight-adjusted C0 /D ratio and dosage of sirolimus in adult renal transplant recipients.

Exposure-response Relationships of Metronidazole in Infants: Integration of Electronic Health Record Data With Population Pharmacokinetic Modeling-derived Exposure Simulation

BACKGROUND

Infants frequently receive metronidazole at variable doses and duration for surgical site infection prophylaxis and treatment of intra-abdominal infections. Seizures are a rare (but potentially devastating) side effect of metronidazole, yet the prevalence of seizures in infants, as well as the relationship with metronidazole dose and exposure, are unknown.

METHODS

We examined the Pediatrix Clinical Data Warehouse for infants in neonatal intensive care units from 1997 to 2018 who received at least 1 dose of metronidazole during their first 120 days of life. We used an existing population pharmacokinetic model to simulate exposure parameters, estimating multivariable associations between metronidazole dosing and exposure parameters, and the occurrence of seizure.

RESULTS

There were 19,367 intravenous doses of metronidazole given to 1546 infants, and 31 experienced a seizure. Infants with a seizure had a longer median (interquartile values) duration of metronidazole exposure than those without (11 days [6, 15] vs. 7 [4, 11], P = 0.01). Each added day of metronidazole (OR = 1.06, 95% CI: 1.02-1.10), and each standard deviation increase in cumulative area under the plasma concentration-time curve (OR = 1.27, 95% CI: 1.11-1.45) were associated with increased odds of seizure. Higher simulated maximum plasma concentration was associated with lower odds of seizure (OR = 0.88, 95% CI: 0.81-0.96).

CONCLUSIONS

Longer metronidazole exposure and higher cumulative exposure could be associated with increased odds of infant seizures. Using a large observational dataset allowed us to identify a rare adverse event, but prospective studies are needed to validate this finding and further characterize metronidazole dose- and exposure-safety relationships.

Population Pharmacokinetic Analysis and Dosing Optimization of Sirolimus in Children With Tuberous Sclerosis Complex

Sirolimus is confirmed to be effective in the treatment of tuberous sclerosis complex (TSC) and related disorders. The study aims to establish a population pharmacokinetic model of oral sirolimus for children with TSC and provide an evidence-based approach for individualization of sirolimus dosing in the pediatric population. A total of 64 children were recruited in this multicenter, retrospective pharmacokinetic study. Whole-blood concentrations of sirolimus, demographic, and clinical information were collected and analyzed using a nonlinear mixed-effects population modeling method. The final model was internally and externally validated. Then Monte Carlo simulations were performed to evaluate and optimize the dosing regimens. In addition, the efficacy and safety of sirolimus therapy was assessed retrospectively in patients with epilepsy or cardiac rhabdomyomas associated with TSC. Finally, the sirolimus pharmacokinetic profile was described by a 1-compartment model with first-order absorption and elimination along with body weight and total daily dose as significant covariates. The typical population parameter estimates of apparent volume of distribution and apparent clearance were 69.48 L and 2.79 L/h, respectively. Simulations demonstrated that dosage regimens stratified by body surface area may be more appropriate for children with TSC. These findings could be used to inform individualized dosing strategies of sirolimus for pediatric patients with TSC.

A gold-based immunochromatographic strip for the detection of sirolimus in human whole blood

The schematic of a colloidal gold-based immunochromatographic strip for the detection of sirolimus in human whole blood.

Model-informed precision dosing to optimise immunosuppressive therapy in renal transplantation

Immunosuppressive therapy is pivotal for sustained allograft and patient survival after renal transplantation. However, optimally balanced immunosuppressive therapy is challenged by between-patient and within-patient pharmacokinetic (PK) variability. This could warrant the application of personalised dosing strategies to optimise individual patient outcomes. Pharmacometrics, the science that investigates the xenobiotic-biotic interplay using computer-aided mathematical modelling, provides options to describe and quantify this PK variability and enables identification of patient characteristics affecting immunosuppressant PK and treatment outcomes. Here, we review and critically appraise the available pharmacometric model-informed dosing solutions for the typical immunosuppressants in modern renal transplantation, to guide their initial and subsequent dosing.

Comparison of the Quality of Life and Emotional Responses in Kidney Transplant Recipients from Living and Deceased Donors in Nephrology Clinics

Background: Quality of life (QoL) is one of the essential measures in assessing a patient's status after kidney transplant, and emotional response is an important factor in evaluating the patient’s compatibility with the transplant. Also, emotional response affects a patient’s QoL. Objectives: This study aimed to compare the QoL and emotional responses of kidney recipients from deceased and living donors. Methods: This descriptive comparative study randomly selected 118 kidney transplant patients (67 recipients from living donors and 51 recipients from deceased) referred to the Nephrology Clinic of Tehran University of Medical Sciences for a post-surgery follow-up. The QoL questionnaire for patients with renal transplants introduced by Laupacis et al. and the emotional response questionnaire (ERQ) by Ziegelmann et al. were used in this study. For data analysis, Mann-Whitney, independent t-test, and Pearson’s correlation tests were used. All the analyses were performed using SPSS software version 20. Results: The kidney recipients from living donors had significantly higher QoL score (especially emotionally) compared with kidney recipients from deceased donors (P=0.04). The score of emotional response was higher in recipients from a living donor, which is related to feeling guilty, transplant disclosure. Furthermore, recipients from a living donor felt guiltier and were unwilling to disclose their transplant compared with recipients from deceased donors. Conclusions: Feeling of guilt and being anxious about transplant disclosure were higher in recipients from living donors. A significant difference was observed in the QoL and emotional response between the two groups of kidney recipients. Therefore, it is important to involve the transplant team, specifically nurses, in the identification of emotional response and planning accordingly to improve the patients’ QoL, especially in recipients from a living donor.

Clinical implementation of pharmacogenetics and model-informed precision dosing to improve patient care

Providing maximal therapeutic efficacy without toxicity is a universal goal of rational drug therapy. However, substantial between-patient variability in drug response often impedes such successful treatments and brings the necessity of tailoring drug dose to individual needs for more precise therapy. In many cases plenty of patient characteristics, such as body size, genetic makeup and environmental factors, need to be taken into consideration to find the optimal dose in clinical practice. A pharmacokinetics and pharmacodynamics (PK/PD) model-informed approach offers integration of various patient information to provide an expectation of drug response and derive practical dose estimates to support clinicians' dosing decisions. Such an approach was pioneered in the late 1970s, but its broad clinical acceptance and implementation have been hampered by the lack of widespread computer technology, including user-friendly software tools. This has significantly changed in recent years. With the advent of electronic health records (EHRs) and the ubiquity of user-friendly software tools, we now experience a convergence of clinical information, pharmacogenetics, systems pharmacology and pharmacometrics, and technology. Advanced pharmacometrics research is now more appliable and implementable to improve health care. This article presents examples of successful development and implementation of pharmacogenetics-guided and PK/PD model-informed decision support to facilitate precision dosing, including the development of an EHR-embedded decision support tool. Through the integration of clinical decision support tools in EHRs, clinical pharmacometrics support can be brought directly to the clinical team and the bedside.

External Evaluation of a Gentamicin Infant Population Pharmacokinetic Model Using Data from a National Electronic Health Record Database

Gentamicin is a common antibiotic used in neonates and infants. A recently published population pharmacokinetic (PK) model was developed using data from multiple studies, and the objective of our analyses was to evaluate the feasibility of using a national electronic health record (EHR) database for further external evaluation of this model. Our results suggest that, with proper data capture procedures, EHR data can serve as a potential data source for external evaluation of PK models.