CISPLATIN NEPHROTOXICITY AND ITS EFFECTS ON GENTAMICIN PHARMACOKINETICS

Myelosuppression is a common side effect of anticancer agents such as cisplatin. This makes patients more susceptible to infections. Gentamicin is an aminoglycoside antibiotic that is very effective in the treatment of gram negative infections. Both these drugs are excreted by the kidney, and are also nephrotoxic. Thus, each may affect the disposition of the other. This project deals with the nature and duration of the effects of cisplatin on gentamicin pharmacokinetics in F-344 rats.^ The appropriate cisplatin dose was determined by comparing the nephrotoxicity of four intravenous doses--3, 4, 5, and 6 mg/kg. The 6 mg/kg dose gave the most consistent nephrotoxic effect, with peak plasma urea nitrogen and creatinine levels on the 7th day. Plasma and tissue gentamicin levels were compared between rats given gentamicin alone (30 mg/kg, intraperitoneally, twice a day for four days), and those given cisplatin (6 mg/kg, intraperitoneally) with the first gentamicin dose. Cisplatin caused a significant elevation of gentamicin levels in plasma, liver, and spleen. However, cisplatin given in three weekly doses of 2 mg/kg each, had no effect on plasma or tissue gentamicin levels.^ In order to determine the duration of cisplatin effects, a single dose of gentamicin (30 mg/kg, intravenously) was given to different groups of rats either alone, or on day 1, 4, 7, 15, or 29 following cisplatin (6 mg/kg, intravenously on day 1). Plasma samples were collected through a cannula placed on the external jugular vein at 0.5, 1, 2, 3, 4, 5, and 6 hours after gentamicin; the rats were sacrificed at 24 hours. Cisplatin caused a significant decrease in gentamicin excretion and an elevation of gentamicin levels in plasma, kidneys, liver, and spleen at all the time points that were tested, except with concomitant administration. Plasma urea nitrogen was elevated, and creatinine clearance decreased by the 4th day after cisplatin and these continued to be significantly different even on the 29th day after cisplatin.^ These results demonstrate that cisplatin nephrotoxicity reduced gentamicin excretion for at least a month in F-344 rats. This could increase the risk of toxicity from the second drug by elevating its levels in plasma and tissue. Thus, caution should be exercised when renally excreted drugs are given after cisplatin. ^

The number and timing of time -dependent covariate measurements for the Cox regression model

The problem of analyzing data with updated measurements in the time-dependent proportional hazards model arises frequently in practice. One available option is to reduce the number of intervals (or updated measurements) to be included in the Cox regression model. We empirically investigated the bias of the estimator of the time-dependent covariate while varying the effect of failure rate, sample size, true values of the parameters and the number of intervals. We also evaluated how often a time-dependent covariate needs to be collected and assessed the effect of sample size and failure rate on the power of testing a time-dependent effect.^ A time-dependent proportional hazards model with two binary covariates was considered. The time axis was partitioned into k intervals. The baseline hazard was assumed to be 1 so that the failure times were exponentially distributed in the ith interval. A type II censoring model was adopted to characterize the failure rate. The factors of interest were sample size (500, 1000), type II censoring with failure rates of 0.05, 0.10, and 0.20, and three values for each of the non-time-dependent and time-dependent covariates (1/4,1/2,3/4).^ The mean of the bias of the estimator of the coefficient of the time-dependent covariate decreased as sample size and number of intervals increased whereas the mean of the bias increased as failure rate and true values of the covariates increased. The mean of the bias of the estimator of the coefficient was smallest when all of the updated measurements were used in the model compared with two models that used selected measurements of the time-dependent covariate. For the model that included all the measurements, the coverage rates of the estimator of the coefficient of the time-dependent covariate was in most cases 90% or more except when the failure rate was high (0.20). The power associated with testing a time-dependent effect was highest when all of the measurements of the time-dependent covariate were used. An example from the Systolic Hypertension in the Elderly Program Cooperative Research Group is presented. ^