List of pediatric model based applications available in ID-ODS:

What is Individually Designed Optimum Dosing Strategies (ID – ODS) ?

Model and simulation based methods are increasingly used within most areas of antimicrobial pharmacotherapy to provide maximum chance for positive clinical outcomes. Pharmacokinetic models provide the basis to store the likely behavior of the drug in a given patient population. The models are also the tools to apply this past knowledge to establish optimum empiric dosing strategies in the care of a future patient who appears to belong to that population (Jelliffe et al). Later, and especially for drugs that are known to have narrow therapeutic index, the patient is monitored both clinically and by measuring serum target concentrations. Last, the measured serum concentrations are used to provide information to the system to estimate patient specific pharmacokinetic parameters via the Bayesian adaptive feedback. Unfortunately, such commercial assays are not currently available for several antibiotics commonly used in clinical practice. Based on patient demographic information readily available at the bedside, Monte Carlo simulation can be used to design empiric dosing regimens aimed to maximize the chance of optimal therapeutic outcomes by incorporating the between patient differences identified in the population pharmacokinetic model. This forecasting of drug exposure is the most promising dosing approach until commercial assays become available to help with individual dose optimization. Individually Designed Optimum Dosing Strategies, or ID – ODS, is a freely available simulation resource tool with extensive model library built from population pharmacokinetic models published in high quality, peer reviewed literature.

When should I consider using ID – ODS ?

FDA approved dosage regimens are likely to provide optimal coverage for the majority of your patients. ID –ODS can help you optimize dosage regimens for a select group of patients that may fall outside of the parameters that we may consider the general population. Examples of such patients include, but not limited to: obese patients, patients with abnormally high or low drug clearances, infections caused by organisms with elevated MICs, etc.

How does ID – ODS work ?

Simply submit your de-identified patient information using the web based interface specific to the antibiotic you would like to evaluate for Probabilities of Target Attainment or to optimize via the Bayesian system. Within second, a standardized html document will appear in your browser summarizing the details of your simulation request.