Gender related differences have been documented in the analgesic effect received from morphine in both human and animal studies. Pharmacodynamic factors have been investigated to explain these differences, but pharmacokinetic factors could also differ between males and females. Morphine and steroid hormones are both metabolized by a similar pathway and different levels of steroid hormones have been shown to alter the metabolism of morphine. This study investigates the effect of covariates such as subject demographics and biochemical data, including steroid hormone level, on the pharmacokinetics of oral morphine in post-menopausal women. Plasma concentration levels of morphine were modeled using a population pharmacokinetic approach (WinNonMix, Pharsight Corp, Mountain View CA) after a standardized dose. The data was initially modeled with a one-compartment, first order pharmacokinetic model with no lag time and with no covariates. Systematically, the covariates were added to the model. Adjusting the model for the individual covariates of age or endogenous steroid levels reduced the error in the pharmacokinetic model. The covariate adjustments that provided the largest error reduction were estrogen and progesterone. The greatest error reduction was found using progesterone alone as a covariate for V/F, volume of distribution divided by bioavailability. The results showed that systemic levels of progesterone affect the pharmacokinetics of oral morphine in post-menopausal women. If this correlation applies also to the level of analgesia experienced in elderly women, dosing regimen of morphine may need to be adjusted in respect to the women's progesterone level. Supported by NIH R03AG16509-01. Gender related differences have been documented in the analgesic effect received from morphine in both human and animal studies. Pharmacodynamic factors have been investigated to explain these differences, but pharmacokinetic factors could also differ between males and females. Morphine and steroid hormones are both metabolized by a similar pathway and different levels of steroid hormones have been shown to alter the metabolism of morphine. This study investigates the effect of covariates such as subject demographics and biochemical data, including steroid hormone level, on the pharmacokinetics of oral morphine in post-menopausal women. Plasma concentration levels of morphine were modeled using a population pharmacokinetic approach (WinNonMix, Pharsight Corp, Mountain View CA) after a standardized dose. The data was initially modeled with a one-compartment, first order pharmacokinetic model with no lag time and with no covariates. Systematically, the covariates were added to the model. Adjusting the model for the individual covariates of age or endogenous steroid levels reduced the error in the pharmacokinetic model. The covariate adjustments that provided the largest error reduction were estrogen and progesterone. The greatest error reduction was found using progesterone alone as a covariate for V/F, volume of distribution divided by bioavailability. The results showed that systemic levels of progesterone affect the pharmacokinetics of oral morphine in post-menopausal women. If this correlation applies also to the level of analgesia experienced in elderly women, dosing regimen of morphine may need to be adjusted in respect to the women's progesterone level. Supported by NIH R03AG16509-01.
Read full abstract