ABSTRACT
OBJECTIVES: Phenytoin is an anti-epileptic drug that has a narrow therapeutic index, and therefore requires therapeutic drug monitoring. Only the free fraction is pharmacologically active, and in some cases, accurate determination of the free phenytoin concentration may be essential to prevent phenytoin toxicity. Although it is possible to measure free phenytoin concentration, often only the total concentration is measured, with equations used to estimate the free fraction. Several equations are quoted in the literature with no overall consensus with regard to accuracy. This study aimed to assess the correlation between total and free phenytoin in a mixed patient population, and to compare the accuracy of several different equations used to estimate the free phenytoin concentration. METHODS: Fifty-one serum samples were analysed for total phenytoin, free phenytoin and albumin. The measured free phenytoin concentrations were compared against those estimated using five selected equations, identified through a literature search. RESULTS: This study showed poor correlation between the total and measured free phenytoin concentrations, and between the estimated and measured free concentrations. The overall correlation was concentration-dependent, but a correction factor could not be applied to improve the accuracy consistently. The equations assessed showed wide variability between the estimated and measured free phenytoin concentrations, with several showing a clinically significant negative bias when compared with the measured free fraction. DISCUSSION: This study highlights the disparity of the free phenytoin concentrations generated by the equations. Underestimation of free phenytoin concentrations using these equations may result in phenytoin toxicity, bringing into question the safety of using calculated values for patient management in place of physical measurement of free phenytoin concentration by ultra-performance liquid chromatography tandem mass spectrometry.
ABSTRACT
BACKGROUND: Accurate serum cortisol quantification is required for the correct diagnosis and management of adrenal pathologies. Presently, most laboratories use immunoassay to measure serum cortisol with proficiency schemes demonstrating a wide dispersion of results. Here, we investigate the effects of sex, matrix, and antibody specificity on serum cortisol quantification in 6 routine assays. METHODS: Surplus serum was obtained before disposal and the following cohorts were created: males, nonpregnant females, pregnant patients, and patients prescribed either metyrapone or prednisolone. Samples were anonymized and distributed to collaborating laboratories for cortisol analysis by 6 routine assays. Cortisol was also measured in all samples using an LC-MS/MS candidate reference measurement procedure (cRMP); cortisol-binding globulin (CBG) was measured in the nonpregnant and pregnant female cohorts. RESULTS: Considerable inter- and intraassay variation was observed across the male and nonpregnant female cohorts relative to the cRMP. Four immunoassays underrecovered cortisol in the pregnancy cohort, and CBG was found to be significantly higher in this cohort than in the nonpregnant females. In the metyrapone and prednisolone cohorts, all immunoassays overestimated cortisol. The first generation Roche E170 and Siemens Centaur XP were particularly prone to overestimation. In all cohorts the routine LC-MS/MS assay aligned extremely well with the cRMP. CONCLUSIONS: Despite the clinical importance of serum cortisol, the performance of routine immunoassays remains highly variable. Accurate quantification is compromised by both matrix effects and antibody specificity. Underpinning this study with a cRMP has highlighted the deficiencies in standardization across routine cortisol immunoassays.
