PAC fixed dose: pharmacokinetics of a 1-hour paclitaxel infusion and comparison to BSA-normalized drug dosing.

BACKGROUND: The aim of this study was to determine the pharmacokinetics (PKs) of a 175-mg fixed dose of paclitaxel (PAC) after a 1-h infusion in cancer patients and to compare them with the PK parameters from a study with a dose normalized to the body surface area (BSA) (100 mg/m2). PATIENTS AND METHODS: PAC PKs were studied during the first course of therapy in 13 patients. A fixed dose of 175 mg PAC was administered weekly by a 1-h infusion to patients with advanced cancer. Total PAC in serum was quantified by high-performance liquid chromatography (HPLC). PK parameters were calculated by non-compartmental and model-dependent methods. RESULTS: The mean BSA of 12 patients (1 patient excluded from all analyses because of prolonged infusion duration) was 1.79 m2 (coefficient of variation (CV) 7.8%), the mean dose referred to the individual BSAs was 98.3 mg/m2 (CV 8.3%). The mean area under the curve (AUC) was 6,193 ng/ml x h (CV 46%), the mean plasma clearance (Clp) was 19.7 l/h/m2 (CV 45%), and the volume of distribution at steady state (Vss) was 121.6 l/m2 (CV 52%). The mean residence time (MRT) was 7.6 h (CV 46%), the mean distribution half-life (t1/2 alpha) of PAC(tot) was 0.4 h (CV 62%), and the elimination half-life (t1/2 beta) 10.0 h (CV 42%). Maximum plasma concentration Cmax was 3,161 ng/ml (CV 36%). The mean time above 0.05 microM (42.7 ng/ml) was 19.7 h, and the mean time above 0.1 microM (85.4 ng/ml) was 10.6 h. CONCLUSIONS: In this study, a fixed dose of PAC of 175 mg corresponds to a mean BSA-normalized dose of 98.3 mg/m2 (range 88.8-117.4 mg/m2). A higher variability of PK parameters was observed compared to previously published results of a PK study with BSA-normalized dosing of 100 mg/m2. However, the AUC and the time above threshold concentrations did not depend on the dose. Therefore, a fixed dose of 175 mg weekly could be an option for palliative treatment with PAC and may offer a simple but effective schedule for PAC treatment.

Confidence intervals for the effect of a prognostic factor after selection of an 'optimal' cutpoint.

When investigating the effects of potential prognostic or risk factors that have been measured on a quantitative scale, values of these factors are often categorized into two groups. Sometimes an 'optimal' cutpoint is chosen that gives the best separation in terms of a two-sample test statistic. It is well known that this approach leads to a serious inflation of the type I error and to an overestimation of the effect of the prognostic or risk factor in absolute terms. In this paper, we illustrate that the resulting confidence intervals are similarly affected. We show that the application of a shrinkage procedure to correct for bias, together with bootstrap resampling for estimating the variance, yields confidence intervals for the effect of a potential prognostic or risk factor with the desired coverage.