Evaluation of an isochronic study design for long-term frozen stability investigation of drugs in biological matrices.

Long-term stability is a basic parameter in bioanalytical method validation; however, no criteria for conducting long-term stability studies are specified in current guidelines. We present an evaluation of a modified statistical approach applied to a study design utilizing an isochronic analysis (collection of samples to be analyzed at one time point) to determine the long-term stability and, further, a comparison with the most widely used continuous design. The presented approach has been used in regulated bioanalysis at Lundbeck for the past 7 years and has, in this period, been applied to 121 studies; all providing conclusive data. The isochronic approach eliminates day-to-day variation, reduces labor and adds to the flexibility in the laboratory. The statistical evaluation used is based on the relative difference between baseline samples and stability test samples as well as 90% confidence intervals for the mean concentration for each of the stability test points.

The pharmacokinetics of escitalopram in patients with hepatic impairment.

The effect of hepatic impairment on the pharmacokinetics of escitalopram was determined by means of nonlinear mixed effect modeling, considering both the Child-Pugh classification (and its components) and cytochrome P450 2C19 (CYP2C19) activity. Twenty-four subjects were grouped according to their Child-Pugh score as healthy, with mild hepatic impairment or with moderate hepatic impairment. The subjects were administered a single oral dose of escitalopram 20 mg, and blood was sampled up to 168 hours after dosage. The serum concentration of escitalopram was determined and the pharmacokinetics assessed by nonlinear mixed effect modeling. The CYP2C19 activity was measured from the urinary excretion ratio of S/R-mephenytoin. All subjects tolerated the treatment well, and no serious adverse events were reported. Predicted mean area under the curve from zero to infinity (AUC(inf)) values were 51% and 69% higher for patients with mild and moderate hepatic impairment (Child-Pugh classification), respectively, compared with healthy subjects. The best-fitting model showed an influence of CYP2C19 activity on clearance and body weight on the volume of distribution for escitalopram. CYP2C19 activity is a better predictor of escitalopram clearance than is Child-Pugh classification.