Pharmacokinetics of Telavancin in Adult Patients with Cystic Fibrosis during Acute Pulmonary Exacerbation

Bayesian prediction-based individualized dosing of anti-methicillin-resistant Staphylococcus aureus treatment: Recent advancements and prospects in therapeutic drug monitoring

As one of the efficient techniques for TDM, the population pharmacokinetic (popPK) model approach for dose individualization has been developed due to the rapidly growing innovative progress in computer technology and has recently been considered as a part of model-informed precision dosing (MIPD). Initial dose individualization and measurement followed by maximum a posteriori (MAP)-Bayesian prediction using a popPK model are the most classical and widely used approach among a class of MIPD strategies. MAP-Bayesian prediction offers the possibility of dose optimization based on measurement even before reaching a pharmacokinetically steady state, such as in an emergency, especially for infectious diseases requiring urgent antimicrobial treatment. As the pharmacokinetic processes in critically ill patients are affected and highly variable due to pathophysiological disturbances, the advantages offered by the popPK model approach make it highly recommended and required for effective and appropriate antimicrobial treatment. In this review, we focus on novel insights and beneficial aspects of the popPK model approach, especially in the treatment of infectious diseases with anti-methicillin-resistant Staphylococcus aureus agents represented by vancomycin, and discuss the recent advancements and prospects in TDM practice.

Defining the Importance of Age-Related Changes in Drug Clearance to Optimizing Aminoglycoside Dosing Regimens for Adult Patients with Cystic Fibrosis

BACKGROUND AND OBJECTIVE

The number of adults living with cystic fibrosis (CF) has increased and will continue to do so with the approval of cystic fibrosis transmembrane conductance regulator (CFTR) modulators. Because systemic aminoglycosides are commonly administered for CF pulmonary exacerbations, we sought to define optimized dosing regimens using a population pharmacokinetic modeling and simulation approach.

METHODS

Adult CF patients admitted for pulmonary exacerbation, receiving at least 72 h of systemic gentamicin, tobramycin, or amikacin, with measured concentrations were included. Covariates [e.g., age, weight, creatinine clearance (CRCL)] were screened. Population modeling was completed using Monolix, and simulations were conducted in R. Simulated exposures were calculated using noncompartmental analysis. Once-daily fixed (10 mg/kg) and exposure-matched dosing (i.e., 15, 10, 7.5, 6 mg/kg for ages 20, 30, 40, and 50 years, respectively) strategies were compared. First-24 h exposures were evaluated for each strategy according to the probability of target attainment (PTA) (ratio of peak plasma concentrations relative to the minimum inhibitory concentration [C_max/MIC] or ratio of the area under the concentration-time curve to MIC [AUC/MIC]) and the probability of toxic exposure (PTE) (trough concentration, C_trough > 2 mg/l).

RESULTS

Forty-eight adult patients (55% female) were included. A one-compartment model best fit the data. Estimates for volume of distribution (V) and clearance (CL) were 22 l and 5.57 l/h, respectively. Weight significantly modified CL and V. Age significantly modified CL and was more influential than CRCL. PTA was > 90% at MICs ≤ 1 mg/l for fixed doses of 10 mg/kg and for exposure-matched doses at MIC ≤ 1 mg/l. Exposure-matched dosing reduced PTE roughly 50% in patients aged 40 and 50 years vs. fixed dosing.

CONCLUSIONS

Exposure-matching maintained PTA at MICs ≤ 1 mg/l while reducing toxicity risk in older patients compared to fixed dosing. Confirmatory studies are needed.

Pharmacokinetics and pharmacodynamics of antibiotics in cystic fibrosis: a narrative review

Cystic fibrosis affects several organs, predisposing patients to severe bacterial respiratory infections, including those caused by methicillin-resistant Staphylococcus aureus. Cystic fibrosis is also associated with a wide spectrum of pathological changes that can significantly affect the absorption, distribution, metabolism, and/or elimination of several drugs, including antibacterial agents. Therefore, awareness of the pharmacokinetic derangements in patients with cystic fibrosis is mandatory for the optimisation of antibiotic therapy. This review discusses the basic principles of pharmacokinetics and the pathophysiology of the pharmacokinetics changes associated with cystic fibrosis; it also provides an update of available data for the most widely used antibiotics. Evidence accumulated in the last few years has clearly shown that a significant number of cystic fibrosis patients treated with conventional dosing schemes have sub-therapeutic antibiotic concentrations, increasing their risk of therapeutic failure and/or the emergence of resistant pathogens. Some proposals to optimise antibiotic therapies in this clinical setting based on therapeutic drug monitoring are also discussed.

Antibiotics in Adult Cystic Fibrosis Patients: A Review of Population Pharmacokinetic Analyses

BACKGROUND

Lower respiratory tract infections are common in adult patients with cystic fibrosis (CF) and are frequently caused by Pseudomonas aeruginosa, resulting in chronic lung inflammation and fibrosis. The progression of multidrug-resistant strains of P. aeruginosa and alterations in the pharmacokinetics of many antibiotics in CF make optimal antimicrobial therapy a challenge, as reflected by high between- and inter-individual variability (IIV).

OBJECTIVES

This review provides a synthesis of population pharmacokinetic models for various antibiotics prescribed in adult CF patients, and aims at identifying the most reported structural models, covariates and sources of variability influencing the dose-concentration relationship.

METHODS

A literature search was conducted using the PubMed database, from inception to August 2020, and articles were retained if they met the inclusion/exclusion criteria.

RESULTS

A total of 19 articles were included in this review. One-, two- and three-compartment models were reported to best describe the pharmacokinetics of various antibiotics. The most common covariates were lean body mass and creatinine clearance. After covariate inclusion, the IIV (range) in total body clearance was 27.2% (10.40-59.7%) and 25.9% (18.0-33.9%) for β-lactams and aminoglycosides, respectively. IIV in total body clearance was estimated at 36.3% for linezolid and 22.4% for telavancin. The IIV (range) in volume of distribution was 29.4% (8.8-45.9%) and 15.2 (11.6-18.0%) for β-lactams and aminoglycosides, respectively, and 26.9% for telavancin. The median (range) of residual variability for all studies, using a combined (proportional and additive) model, was 12.7% (0.384-30.80%) and 0.126 mg/L (0.007-1.88 mg/L), respectively.

CONCLUSION

This is the first review that highlights key aspects of different population pharmacokinetic models of antibiotics prescribed in adult CF patients, effectively proposing relevant information for clinicians and researchers to optimize antibiotic therapy in CF.