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Beta−lactam antibiotics of first choice are modelled using population pharmacokinetics

Sudhansu Sekhar Patra

Population pharmacokinetics modelling is a statistical method used to evaluate the pharmacokinetic parameters of drugs in a population. The model can be used to predict the pharmacokinetics of a drug in different individuals and to estimate individual parameters from population data. Beta-lactam antibiotics are a group of antibiotics commonly used for the treatment of bacterial infections. In this study, we aimed to develop a population pharmacokinetic model for beta-lactam antibiotics of first choice. The study included 240 patients who received beta-lactam antibiotics of first choice, including penicillins, cephalosporins, and carbapenems. Blood samples were collected at different time points, and the concentration of the antibiotic in the plasma was measured. The pharmacokinetic data were analysed using a nonlinear mixedeffects model. The results showed that the population pharmacokinetics of beta-lactam antibiotics of first choice could be described by a two-compartment model with first-order elimination. The model was able to predict the pharmacokinetic parameters of the antibiotics, including clearance and volume of distribution. The model also revealed significant inter-individual variability in the pharmacokinetic parameters, which could be explained by patient-specific factors such as age, weight, and renal function.