i Bayesian methods for voriconazole therapeutic drug monitoring (TDM) have been reported previously, but there are only sparse reports comparing the accuracy and precision of predictions of published models. Furthermore, the comparative accuracy of linear, mixed linear and nonlinear, or entirely nonlinear models may be of high clinical relevance. In this study, models were coded into individually designed optimum dosing strategies (ID-ODS) with voriconazole concentration data analyzed using inverse Bayesian modeling. The data used were from two independent data sets, patients with proven or suspected invasive fungal infections (n ‫؍‬ 57) and hematopoietic stem cell transplant recipients (n ‫؍‬ 10). Observed voriconazole concentrations were predicted whereby for each concentration value, the data available to that point were used to predict that value. The mean prediction error (ME) and mean squared prediction error (MSE) and their 95% confidence intervals (95% CI) were calculated to measure absolute bias and precision, while ⌬ME and ⌬MSE and their 95% CI were used to measure relative bias and precision, respectively. A total of 519 voriconazole concentrations were analyzed using three models. Voriconazole is a triazole antifungal that exhibits broad-spectrum activity and is a first-line agent for the treatment of Candida sp. infections (1), invasive aspergillosis (2), and other serious fungal infections. With increasing numbers of at-risk immunocompromised populations, such as those undergoing solid-organ transplantation or those with HIV infections, the incidence of invasive mycoses is on the rise (3, 4). Despite the advent of newer antifungals, Aspergillus sp. and Candida sp. infections have exhibited high mortality rates of 60% and 30%, respectively (5, 6).Recent published studies of voriconazole have shed light on the clinical relevance of therapeutic drug monitoring (TDM) for optimization of dosing based on voriconazole's highly variable pharmacokinetics (PK) and the resultant poor predictability of plasma concentrations (7,8). Subtherapeutic concentrations have been linked to higher failure rates in patients with life-threatening invasive fungal infections, and supratherapeutic concentrations are associated with neurological and hepatic toxicity (9-19). Voriconazole is primarily metabolized by CYP2C19, which commonly exhibits genetic polymorphism, leading to variable PK and leaving certain populations susceptible to decreased metabolism and increased plasma concentrations of voriconazole (20-23). Patients of Asian descent with polymorphisms in CYP2C19 have up to a 20% incidence of being poor metabolizers while this value is up to 5% for Caucasian and African American individuals (24). Poor metabolizers can have a PK exposure up to four times higher than that of homozygous comparators.Nonlinearity in voriconazole PK relating to saturable clearance mechanisms has been reported (8), which together with its extensive variability makes dosing profoundly challenging, especially when higher doses are used. Conve...

While the use of intraperitoneal (i.p.) gentamicin is common in the treatment of peritoneal dialysis (PD)-related infections, the ability of these regimens to attain pharmacodynamic target indices of interest in blood and dialysate has not been widely reported. Pharmacokinetic (PK) data was obtained and analyzed from a multiple-dose PK study of i.p. gentamicin with 24 patients who received the drug at 0.6 mg/kg dose of body weight. The probability of target attainment (PTA) for indices of treatment success (i.p. peak/MIC ratio >10) and toxicity (plasma AUC < 120 mg*h/L) was determined for 0.3 to 1.2 mg/kg i.p. regimens every 24 h for dwell times of 2 to 6 hours and for the duration of 2-week course. In the peritoneum, successful PTA was achieved by all of the simulated regimens up to an MIC of 1 mg/L, and by doses equal to or greater than 0.6 mg/kg up to the MIC of 2 mg/L. At the susceptibility break point of 4 mg/L only the highest dose of 1.2 mg/kg is likely to provide adequate PTA. Probability of achieving exposure below the threshold of 120 mg*h/L in the daily AUC in plasma seems acceptable for all regimens at or below 0.6 mg/kg. Based on the model we developed, a gentamicin dose of 0.6 mg/kg is sufficient to treat organisms with an MIC of ≤2 mg/L without the risk of significant systemic exposure. The 1.2 mg/kg dose necessary to reach the pharmacodynamic target for efficacy at the clinical break point of 4 mg/L is likely to produce early toxic levels of exposure that is expected to be detrimental to the renal system.