Usefulness of monitoring free (unbound) concentrations of therapeutic drugs in patient management

Drugs are bound to various serum proteins in different degrees and only unbound or free drug is pharmacologically active. Although free drug concentration can be estimated from total concentration, for strongly bound drugs, prediction of free level is not always possible. Conditions like uremia, liver disease and hypoalbuminemia can lead to significant increases in free drug resulting in drug toxicity even if the concentration of total drug is within therapeutic range. Drug-drug interactions may also lead to a disproportionate increase in free drug concentrations. Elderly patients may have increased free drug concentrations due to hypoalbuminemia. Elevated free phenytoin concentrations have also been reported in patients with AIDS and pregnancy. Currently free drug concentrations of anticonvulsants such as phenytoin, carbamazepine and valproic acid are widely measured in clinical laboratories. Newer drugs such as mycophenolic acid mofetil and certain protease inhibitors are also considered as candidates for monitoring free drug concentration.     

Plasma total glutathione concentrations in epileptic patients taking anticonvulsants

Glutathione plays an important role in protecting cells against oxidative damage as a free radical scavenger. Since several anticonvulsants have been associated with decreased intrahepatic glutathione levels, we investigated plasma concentrations of total glutathione (including reduced and oxidized forms, tGSH=GSH+GSSG) in 45 epileptic patients taking anticonvulsant drugs. Plasma tGSH concentrations were significantly lower than in controls in patients treated with carbamazepine or phenytoin monotherapy, or with multiple drugs. Plasma tGSH concentrations in patients treated with valproic acid and in patients treated with phenobarbital did not differ significantly from those in controls. In no patient group was a significant correlation evident between duration of treatment or drug concentration and plasma tGSH concentration. No significant differences in plasma total cysteine concentrations were found between any patient group and controls. We conclude that some anticonvulsant drugs can lower plasma tGSH levels, reflecting treatment-related oxidative stress.     

Role of alpha-1 acid glycoprotein, albumin, and nonesterified fatty acids in serum binding of apazone and warfarin

Altered concentrations of serum proteins and nonesterified fatty acids (NEFAs) often accompany malignant diseases. Free fractions (fu) of apazone and warfarin were measured by equilibrium dialysis in serum samples obtained from 31 patients with cancer and 18 control subjects. Mean fu values of both drugs were significantly higher in the patient group. Multivariate analysis showed albumin, NEFA, and AAG for apazone and albumin, NEFA, and age for warfarin accounted for 60% and 63%, respectively, of interpatient variation in bound/free drug concentration ratios in the group of patients with cancer. The interactions of apazone and warfarin with AAG were further characterized; the more avid site had association constants of 4.5 X 10(5) and 2.3 X 10(5) L/mol, respectively. Finally, it is strongly suggested that when hypoalbuminemia is present and a drug binds to AAG with an affinity constant comparable to or higher than that to albumin, then fu will become dependent on the concentration of AAG.     

Heparin-induced release of protein-bound solutes during hemodialysis is an in vitro artifact

BACKGROUND: Several studies have pointed to a release of drugs or protein-bound solutes from their binding sites during heparinization. The effect is attributed to the metabolism of triglycerides to free fatty acids (FFAs), which compete with drugs for protein binding sites. This study evaluated the impact of intradialytic heparin on the free concentration of the uremic toxin p-cresol and on FFAS: METHODS: Blood samples from hemodialysis (HD) patients, before and during HD, were collected with selected anticoagulation strategies. We assessed the effects of standing time, temperature, pH, and the addition of a lipase inhibitor, tetrahydrolipstatin (THL) to blood samples on the free p-cresol concentration. p-Cresol was analyzed by HPLC with fluorescence detection. We measured FFAs by gas chromatography, and the free fractions of added valproic acid and phenytoin were evaluated by fluorescence polarization immunoassay. RESULTS: In blood samples (n = 22) not submitted to a specific treatment, free p-cresol increased from 9.9 +/- 5.1 to 31.9 +/- 22.3 micromol/L after 30 min of heparin HD (P < 0.001) and correlated significantly with FFAs (r = 0.80; P = 0.002; n = 12). There was no increase in free p-cresol during heparin-free HD (n = 6) and trisodium citrate HD (n = 9). In addition, p-cresol in ultrafiltrates (n = 3) did not correspond to the free p-cresol in heparinized blood, suggesting that the increase in free p-cresol was artifactual. The release of p-cresol in the test tube was enhanced by standing time (n = 6), sample temperature (n = 6), and alkaline pH (n = 6). Inhibition of lipase activity with THL prevented the increase of FFAs (n = 6) and the release of free p-cresol during HD (n = 22). These results were corroborated by the study of the free fraction of valproic acid (n = 6) and phenytoin (n = 6). CONCLUSIONS: The free concentrations of protein-bound solutes in plasma of heparinized patients are influenced by external factors that alter the lipase activity in the test tube. The free fraction does not increase during HD when lipase activity is neutralized at the time of blood sampling, so that previously reported increases are probably artifacts.     

Drug interactions between chemotherapeutic regimens and antiepileptics

BACKGROUND: Drug-drug interactions (DDIs) are commonly seen in daily clinical practice, particularly in the treatment of patients with cancer. Seizures are often seen in patients with brain tumors and brain metastases, in whom antiepileptic drugs (AEDs) are often indicated. The risk for DDIs between anticancer drugs and AEDs is high. OBJECTIVE: This review aimed to investigate the types of interactions that are observed between the AEDs and the most commonly prescribed chemotherapeutic regimens. The risk for DDIs is discussed with regard to tumor type. METHODS: Data on DDIs between anticancer drugs and AEDs were compiled from the British National Formulary, Drug Information Handbook, and Micromedex Healthcare Series version 5.1. Product information of the individual drugs, as well as literature on anticancer drug-AED interactions, was searched using PubMed (years: December 1970 to January 2008; search terms: anticancer, antiepileptic, chemotherapy regimen, drug interactions, and the generic names of the individual anticancer drugs and AEDs [acetazolamide, carbamazepine, ethosuximide, felbamate, gabapentin, lamotrigine, levetiracetam, oxcarbazepine, phenobarbital, phenytoin, primidone, tiagabine, topiramate, valproic acid, vigabatrin, and zonisamide]). RESULTS: Our search identified clinically important DDIs observed with single-agent and combination regimens used for the treatment of breast cancers, colorectal cancers, lung cancers, lymphomas, and renal cell carcinomas. Carbamazepine, phenytoin, phenobarbital, and primidone were found to have prominent cytochrome P450 (CYP) enzyme-induction effects, while valproic acid had an inhibitory effect. The isozymes of major relevance to anticancer drug-AED interactions included CYP3A4, CYP2C9, and CYP2C19. Induction or inhibition of these isozymes by AEDs can cause a decrease or increase in anticancer drug concentrations. Similarly, enzyme inhibition or induction by anticancer drugs can lead to toxicity or loss of seizure control. CONCLUSIONS: In this review of anticancer drug-AED DDIs, carbamazepine, phenytoin, phenobarbital, primidone, and valproic acid were found to interact the most frequently with anticancer drugs. Based on the results of this review, clinicians should be vigilant when AEDs are prescribed concurrently with anticancer drugs. DDIs can be avoided or minimized by selecting alternative AEDs that are less likely to interact. However, if potentially interacting drug combinations must be used for treatment, serum drug concentrations should be closely monitored to avoid toxicity in the patient, as well as to ensure adequate chemotherapeutic and antiepileptic coverage.     

ANALYSIS OF THE FACTORS INFLUENCING ANTI-EPILEPTIC DRUG CONCENTRATIONS-VALPROIC ACID

The factors that influence valproic acid (VPA) serum concentrations and level:dose ratios were evaluated, retrospectively, on 51 consecutive routine VPA determinations from 50 chronically treated epileptic patients. The influence of co-medicated anti-epileptic drugs (phenytoin, phenobarbital, carbamazepine), alone or in combination, on total and free levels of VPA was studied. Furthermore, the possible influence of certain physiological and/or pathophysiological factors (age, weight, sex and clinical laboratory data) was considered. The total level:dose ratio was lower when VPA was given in combination with phenytoin or with carbamazepine than when VPA was given alone. The free level:dose ratio also decreased during concomitant treatment with phenytoin. The free fraction of VPA was unaltered when in combination with phenytoin or with carbamazepine, whereas it was decreased by a combination with phenytoin plus carbamazepine. As a whole, strong, positive, correlations existed between the VPA dose (mg/kg/day) and the total and free serum levels of VPA in the range of less than 15 mg/kg/day, but both levels of VPA tended to flatten out at the range of more than 15 mg/kg/day. These findings should therefore be considered when defining dosage regimens or interpreting serum drug concentrations. Stepwise multivariate regression analysis (MVR) showed that the VPA dose, simultaneous carbamazepine intake, serum glutamic oxalacetic transaminase (SGOT) and serum albumin concentration were important determinants of VPA serum concentrations.     

Adsorption of Charged Non-albumin Bound Drugs by Amorphous Silica

We investigated the in vitro drug adsorption of PQ 10150 sodium silicate gel (AIS, Santa Clara, CA) with particle size of 230 um and surface area of 400 nr/g. We observed 99% to 88% adsorption of gentamicin; a mean 91 % of disopyramide; a mean 89% of quinidine at low concentration, falling to 75% at higher concentration. Insulin was 88% adsorbed at low concentrations but less so (65%) at higher concentrations. We observed a mean 83 % adsorption of procainamide, a mean 84% of N-acetyl procainamide, 74% oflidocaine, 73% of amitriptyline; and 44% of desipramine. We found an average 14% reduction of total digoxin concentration when serum containing digoxin (2 to 33 ng/mL) was exposed to sodium silicate, while the reduction in free digoxin concentration was 16%. Five percent ethosuximide was also removed. The adsorption of theophylline, phenobarbital, acetaminophen, phenytoin, ethylene glycol, methotrexate, salicylate, thiocyanate and diazepam was minimal and not significant. We conclude that significant amounts of charged, non-albumin bound drugs can be removed by PQ 10150 sodium silicate gel.     

Endogenous digoxin-like immunoreactive factors: impact on digoxin measurements and potential physiological implications

Various laboratories have reported endogenous digoxin-like immunoreactive factor(s) (DLIF) in blood from patients in renal failure or liver failure, from newborn infants, and from third-trimester pregnant women. Similar immunoreactivity has been detected in amniotic fluid, in cord blood, and in urine and serum from normal subjects. The factor(s) giving rise to this immunoreactivity cross react with antibodies used in many currently available immunoassays for digoxin, sometimes causing apparent digoxin concentrations exceeding the therapeutic range obtained for exogenous digoxin, with consequent errors in measurement and in subsequent clinical interpretation of digoxin results. Here, I summarize findings in our laboratory and those of others. DLIF evidently exist in three states in serum: tightly protein-bound, weakly protein-bound, and unbound (free). In normal subjects, greater than 90% of the total DLIF in serum is tightly but reversibly bound to serum proteins and is not readily detectable by direct measurement of digoxin in serum with conventional immunoassays. However, there seems to be a redistribution of the more weakly bound and unbound components in patients with renal failure, pregnant women, and newborns. The increased values detected in these groups are ascribable to increased amounts of weakly bound and unbound DLIF rather than to increased total DLIF. Carrier proteins may play a prominent role in the transport of these factors in blood. I discuss the potential physiological and pharmacological implications of detecting endogenous immunoreactive factors that cross react with antibodies to drugs.     

Determination of free digoxin concentrations in serum for monitoring Fab treatment of digoxin overdose

A rapid method for assessing the free digoxin concentration in the serum of digoxin-overdosed patients receiving treatment with digoxin-specific Fab fragments has been developed. For this method, a protein-free ultrafiltrate is prepared from the patient's serum, and the digoxin in the ultrafiltrate (free digoxin) is measured by fluorescence polarization immunoassay. Both the inaccuracies associated with measurements of total digoxin by immunoassay in the presence of Fab and the long turnaround time associated with measurements of free digoxin by equilibrium dialysis were avoided. Good correlation was observed between measurements of free digoxin by this ultrafiltration technique and by equilibrium dialysis. The ultrafiltration method was used to evaluate the concentrations of free digoxin in a digoxin-overdosed patient treated with Fab at our hospital. In retrospect, the results suggest that her hospital stay could have been shortened by a timely appreciation of her increased concentration of free digoxin. Using the ultrafiltration method, one can determine free digoxin concentrations quickly, conveniently, and accurately in the clinical laboratory. This procedure therefore should be a valuable aid in monitoring the efficacy and adequacy of Fab treatment.     

Pharmacokinetics of drugs in patients with the nephrotic syndrome.

Since the binding of drugs to plasma proteins can significantly after the intensity of pharmacological and toxicological effects of drugs, we studied the pharmacokinetics of three drugs in patients with hypoalbuminemia secondary to the nephrotic syndrome, but with relatively normal renal function. No significant differences were seen in the pharmacokinetic parameters observed for antipyrine, a drug which is less than 10% bound to plasms proteins. The percentage of unbound diphenylhydantoin, a highly plasms protein-bound drug, was found in patients with the nephrotic syndrome to be twice that of healthy individuals (19,2 vs. 10.1%, P smaller than 0.001). However, there was also a lower steady-state plasma concentration of diphenylhydantoin (2.9 plus or minus 0.6 vs. 6.8 plus or minus 0.6 mug/ml, P smaller than 0.001) secondary to an increase in the plasms clearance (0.048 plus or minus 0.019 vs. 0.022 plus or minus 0.006 liter/kg.h, P smaller than 0.001) in the nephrotic patients. The net effect is no difference in the absolute concentration of unbound diphenylhydantoin in healthy individuals (0.69 plus or minus 0.05 mug/ml) and patients with the nephrotic syndrome (0.59 plus or minus 0.06 mug/ml). Qualitatively, similar differences were observed with clofibrate. The dose of these drugs need not be routinely reduced in patients with the nephrotic syndrome as long as they have reasonably normal renal function (creatinine clearance greater than 50 ml/min). With all highly bound acidic drugs, knowledge of the concentration of unbound drug is essential to the proper interpretation of total blood levels and subsequent treatment of the patient.     

Bidirectional (positive/negative) interference of spironolactone,canrenone, and potassium canrenoate on serum digoxin measurement: elimination of interference by measuring free digoxin or using a chemiluminescent assay for digoxin

Spironolactone and potassium canrenoate (aldosterone antagonist diuretics) are often used with digoxin in clinical practice. Spironolactone, potassium canrenoate, and their common metabolite canrenone cross-react with the fluorescence polarization immunoassay (FPIA) for digoxin, and can falsely elevate serum digoxin concentrations. Serum digoxin concentrations were falsely lowered when the microparticle enzyme immunoassay (MEIA) was used. Aliquots of drug-free serum were supplemented with therapeutic and above-therapeutic concentrations of spironolactone, canrenone, and potassium canrenoate, and apparent digoxin activities were measured. We observed digoxin-like activities in the FPIA, but observed no activity with the MEIA or the chemiluminescent assay (CLIA). However, when serum digoxin pools prepared from patients receiving digoxin were supplemented with these compounds, we observed suppression of total digoxin levels with the MEIA. In contrast, no interference was observed in the presence of these compounds when CLIA was used for digoxin measurement. These compounds are strongly protein-bound, and no apparent digoxin activity was observed in the protein-free ultrafiltrate when drug-free sera were spiked with high levels of these compounds. Taking advantage of strong protein binding of these compounds and weak protein binding of digoxin (25%), interference of spironolactone, canrenone, and potassium canrenoate in FPIA and MEIA digoxin assays can be mostly eliminated by monitoring free digoxin concentration. Another approach to avoid this interference is to use the CLIA digoxin assay.     

Elevated free fractions of valproic acid in a heart transplant patient with hypoalbuminemia

OBJECTIVE: To report a case demonstrating the importance of monitoring unbound valproic acid (VPA) serum concentrations in a patient with hypoalbuminemia. CASE SUMMARY: A 53-year-old white woman status-post heart transplantation was admitted to the hospital for declining cardiac function, possible rejection, and increased lethargy requiring intubation. An extensive workup of the patient's profound lethargy was initiated, including an evaluation of her VPA regimen. Initially, VPA dosages were adjusted based on the total serum concentration of VPA. Hypoalbuminemia compounded with increased lethargy prompted the measurement of unbound serum concentrations of VPA. The VPA dosage was then adjusted based on the unbound rather than the total VPA serum concentration; the patient eventually improved and was discharged from the hospital. DISCUSSION: Lethargy is a concentration-related adverse effect of VPA. The nonlinear pharmacokinetic and protein saturation characteristics of VPA may result in nonproportional elevations in unbound drug, and subsequent increases in adverse effects, when dosage adjustments are based solely on measurement of total VPA serum concentrations in patients with hypoalbuminemia. CONCLUSIONS: This case report suggests that appropriate monitoring of unbound drug concentrations of VPA may prevent unrecognized concentration-related adverse effects. Awareness of the pharmacokinetic relationship and adverse effects of VPA will aid clinicians in identifying the etiology of symptoms.     

Displacement of phenytoin from serum protein carriers by antibiotics: studies with ceftriaxone, nafcillin, and sulfamethoxazole

Increased concentrations of free phenytoin in serum, attributable to the displacement of this anticonvulsant by other drugs, e.g., valproic acid and salicylic acid, have been reported. We observed in vitro and in vivo displacement of phenytoin by the antibiotics ceftriaxone, nafcillin, and sulfamethoxazole. In vitro studies demonstrated statistically significant (P less than 0.05) increases in free phenytoin after the addition of specific antibiotics to patients' sera and to phenytoin-supplemented sera from controls. Concentrations of free phenytoin in vivo, predicted by an equation we have found to be accurate for albumin concentrations greater than or equal to 32 g/L, were consistently underestimated in patients receiving concomitant therapy with the antibiotics studied. The concentrations of free phenytoin decreased towards the predicted values when the antibiotic therapy was discontinued. We conclude that ceftriaxone, nafcillin, and sulfamethoxazole can displace phenytoin from the usual protein carriers found in serum, in vitro and in vivo.     

Long-term use of the major anticonvulsant drugs.

The specific type of epilepsy must be identified. The history and the EEG provide the evidence. Drug selection is then based on the classification of the patient's epilepsy. Major drugs used in the management of epilepsy are phenytoin, phenobarbital, primidone, carbamazepine, ethosuximide and valproic acid. The physician should know their kinetics, interactions and side effects, and the value of monitoring blood levels of these anticonvulsant agents.     

Impact of age,weight and concomitant treatment on lamotrigine pharmacokinetics

What is known and Objective: Lamotrigine metabolism may be substantially altered with concomitant administration of valproic acid and/or carbamazepine. Such alterations may require the adjustment of lamotrigine dose to ensure optimal treatment efficacy and safety. Methods: The extent of lamotrigine interactions was investigated dependent on age, gender, weight and dose of concomitant carbamazepine and/or valproic acid in 65 patients with epilepsy. Lamotrigine plasma steady‐state oral clearance (CLss/F) and area under the curve (AUCss) were calculated from the dose of drug, average steady‐state concentration (Css) and interval of administration. Multiple regression analysis was used for the identification and quantification of factors that influenced lamotrigine pharmacokinetics. Results and Discussion: Age and dose of carbamazepine and valproic acid had significant influence on lamotrigine CLss/F and AUCss. Carbamazepine was associated with a dose‐dependent increase and valproic acid with a dose‐dependent decrease of lamotrigine metabolism rate. The effect of carbamazepine was more pronounced. Younger patients were expected to metabolize lamotrigine more rapidly whereas overweight patients may be less susceptible to interactions. Gender had no influence on lamotrigine pharmacokinetics. What is new and Conclusion: The efficacy and safety of lamotrigine may be altered by concomitant administration of carbamazepine and valproic acid. The models developed may be useful for estimating doses of lamotrigine for individual patients to minimize clinically significant interactions. Therapeutic monitoring is advisable when those drugs are used concomitantly.     

Plasma protein binding kinetics of valproic acid over a broad dosage range: therapeutic implications

The aim of the study was to characterize, from the relationship between total and free serum levels of valproic acid obtained over a broad dosage range (10–50 mg/kg), the parameters defining the in–vivo kinetic behaviour of the binding of valproic acid to plasma proteins, their pharmacokinetic and clinical repercussions, and their application to therapeutic drug monitoring (TDM). The study was performed in nine healthy adults (20–35 years) who were given doses of 1000 (group A), 2000 (group B) and 3000 mg (group C) of sodium valproate according to a compensated cross–over design, simultaneously determining the total and free serum levels of valproic add over a 24–h period. The mean free fraction increases with dose, although this increase is only significant (P <0 05) for the highest dose (3000 mg). The variation in the free fraction of valproic acid begins to become significant (P < 0>05) at a total drug concentration above 100 mg/1. The mean values of the dissociation constant (K) and binding sites (n) were 460 μmol/l and 179, respectively, showing a variability of 866 and 387%, respectively, and a residual variability of 130%. Significant differences (P < 005) were found for the total plasma clearance (Cl) but not for the intrinsic plasma clearance (CI_u) values, despite their tendency to decrease with the dose. If TDM is to be used for valproic acid, it is the free serum levels that should be determined, especially if high doses are administered, because the total serum levels are not a true reflection of the free ones, as is the case of other anti–epileptic drugs.     

St. John's wort does not interfere with therapeutic drug monitoring of 12 commonly monitored drugs using immunoassays

St. John's wort, a popular herbal remedy for depression, is known to interact with many Western drugs because of the ability of its components to induce liver enzymes. Lower concentrations of various drugs due to increased clearance have been reported. Because immunoassays are commonly used in clinical laboratories for therapeutic drug monitoring, we studied the potential interference of St. John's wort with commonly monitored therapeutic drugs. Drug-free serum pools were supplemented with St. John's wort to achieve in vitro St. John's wort concentrations mimicking in vivo concentrations after both recommended use and overdose. Concentrations of digoxin, tricyclic antidepressants (TCAs), phenytoin, carbamazepine, theophylline, valproic acid, quinidine, phenobarbital, procainamide, and N-acetyl procainamide were measured in serum. Pooled serum specimens from patients who were taking a particular drug were also supplemented in vitro with concentrations of St. John's wort to investigate whether observed concentrations changed after supplementation with St. John's wort. The effect of St. John's wort on cyclosporine and tacrolimus (FK 506) was studied in whole blood. We found no significant interference from St. John's wort with any assay studied. Moreover, when drug-free serum was supplemented with very high concentrations of hypericin (2 microg/mL) and hyperforin (2 microg/mL) pure standard, we observed no apparent drug level with any immunoassay. The presence of both hypericin and hyperforin was also confirmed by thin layer chromatography (TLC) in both preparations of St. John's wort. We conclude that immunoassays may be used to measure levels of therapeutic drugs in patients who self-medicate with St. John's wort.     

Therapeutic drug monitoring of old and newer anti-epileptic drugs.

The aim of the present paper is to provide information concerning the setting up and interpretation of therapeutic drug monitoring (TDM) for anti-epileptic drugs. The potential value of TDM for these drugs (including carbamazepine, clobazam, clonazepam, ethosuximide, felbamate, gabapentin, lamotrigine, levetiracetam, oxcarbazepine, pheneturide, phenobarbital, phenytoin, primidone, tiagabine, topiramate, valproic acid, vigabatrin and zonisamide) is discussed in relation to their mode of action, drug interactions and their pharmacokinetic properties. The review is based upon available literature data and on observations from our clinical practice. Up until approximately 15 years ago anti-epileptic therapeutics were restricted to a very few drugs that were developed in the first half of the 20th century. Unfortunately, many patients were refractory to these drugs and a new generation of drugs has been developed, mostly as add-on therapy. Although the efficacy of the newer drugs is no better, there is an apparent improvement in drug tolerance, combined with a diminished potential for adverse drug interactions. All new anticonvulsant drugs have undergone extensive clinical studies, but information on the relationship between plasma concentrations and effects is scarce for many of these drugs. Wide ranges in concentrations have been published for seizure control and toxicity. Few studies have been undertaken to establish the concentration-effect relationship. This review shows that TDM may be helpful for a number of these newer drugs.     

Neurobehavioral effects of phenytoin, carbamazepine, and valproic acid: implications for use in traumatic brain injury

Due to the risk of posttraumatic epilepsy, phenytoin, carbamazepine, and valproic acid are often prescribed for patients with traumatic brain injury (TBI). In this review the literature is examined for evidence of neurobehavioral impairment due to carbamazepine, phenytoin, and valproic acid. No comparative studies have been performed in the TBI population, making if difficult to determine if one of these medications is preferable. Direct inference from studies on epilepsy patients to TBI patients is hazardous due to underlying differences in the two populations. Reported findings for epilepsy patients are subtle and not consistent across studies. All three drugs appear to exert some effect on cognitive and motor functions in epileptic patients, and these impairments worsen at increasing serum levels. The varied length of experience with each drug makes it difficult to assign relative weight to the evidence for or against each. A comparative assessment of cognitive and behavioral effects of anticonvulsants should be done in the TBI population.     

Analytical performance evaluation of a new turbidimetric immunoassay for valproic acid on the ADVIA 1650 analyzer: effect of gross hemolysis and high bilirubin

Valproic acid is an anticonvulsant that requires careful therapeutic drug monitoring. Valproic acid is also used in psychiatric patients. Bayer Diagnostics (Tarrytown, NY) recently marketed a turbidimetric immunoassay for monitoring valproic acid concentrations in serum or plasma using the ADVIA 1650 analyzer. We evaluated the performance of this new assay by comparing it with a widely used fluorescence polarization immunoassay (FPIA) on the AxSYM analyzer (Abbott Laboratories, Abbott Park, IL). The total coefficient of variation (CV) for the low control of this new assay was 6.8% (mean = 30.7, SD = 2.1 microg/mL, n = 44) while the corresponding CVs for the medium and high controls were 3.3% (mean = 81.0, SD = 2.7 microg/mL, n = 44) and 5.9% (mean = 142.9, SD = 8.4 microg/mL, n = 44), respectively. The assay is linear up to a serum valproic acid concentration of 170 microg/mL, and the detection limit is 4.4 microg/mL. We observed an excellent correlation between the FPIA of valproic acid and the turbidimetric assay using specimens from 52 different patients who were receiving valproic acid. Using the valproic acid concentrations obtained by the FPIA as the x-axis, and the corresponding valproic acid concentrations obtained by the turbidimetric assay as the y-axis, we developed the following regression equation: y = 1.03 x+1.55 (r = 0.98). With this new assay, high concentrations of bilirubin (unconjugated 30 mg/dL and conjugated 30 mg/dL) and gross hemolysis (4+, hemoglobin: 1,500 mg/dL) have no effect on measurements of valproic acid concentration. We conclude that the new turbidimetric assay for valproic acid can be used for routine therapeutic drug monitoring of valproic acid in clinical laboratories.