Phenytoin-dexamethasone: a possible drug-drug interaction

Population pharmacokinetics of dexamethasone in critically ill COVID-19 patients: Does inflammation play a role?

PURPOSE

The aim of this study is to design a population pharmacokinetic study to gain a deeper understanding of the pharmacokinetics of dexamethasone in critically ill COVID-19 patients in order to identify relevant covariates that can be used to personalize dosing regimens.

METHODS

Blood samples from critically ill patients receiving fixed-dose intravenous dexamethasone (6 mg/day) for the treatment of COVID-19 were sampled in a retrospective pilot study. The data were analyzed using Nonlinear Mixed Effects Modeling (NONMEM) software for population pharmacokinetic analysis and clinically relevant covariates were selected and evaluated.

RESULTS

A total of 51 dexamethasone samples from 18 patients were analyzed and a two-compartment model fit the data best. The mean population estimates were 2.85 L/h (inter-individual-variability 62.9%) for clearance, 15.4 L for the central volume of distribution, 12.3 L for the peripheral volume of distribution and 2.1 L/h for the inter-compartmental distribution clearance. The covariate analysis showed a significant negative correlation between dexamethasone clearance and CRP.

CONCLUSIONS

Dexamethasone PK parameters in ICU COVID patients were substantially different from those from non-ICU non-COVID patients, and inflammation may play an important role in dexamethasone exposure. This finding suggests that fixed-dose dexamethasone over several days may not be appropriate for ICU COVID patients.

Revisiting CYP2C9-Mediated drug-drug Interactions: A Review

Drug-drug interactions (DDI) are the most common cases that occur in our healthcare in which are very alarming as it may lead to severe complications. Consumption of natural products concomitantly with conventional drugs or treatment using polypharmacy have become the norm that promoting the potential of pharmacokinetic or pharmacodynamic drug interactions as the combination may mimic, increase or reduce the effects of the drug or the herb which could result in clinically significant interactions. CYP2C9 is the second major isoform from CYP450 family of enzyme, which responsible in phase 1 metabolism of 15-20% clinical drugs. Up to date, many substrates of CYP2C9 have been discovered and these discoveries may open more doors for potential drug-drug interactions in patients. Many studies have been done to evaluate the effect of drugs on the activity of CYP2C9 and how it influenced the effectiveness of therapy in patients. Various data regarding CYP2C9 related DDI from in vitro, in vivo and clinical studies were critically discussed in this review to provide insights on how these drugs and natural products may exhibit drug interactions clinically. This review could be beneficial reference material for health practitioners and researchers.

A guide to clinically relevant drug interactions in oncology

This paper presents an overview of new information on clinically relevant drug-drug interactions, particular focuses on negative drug interactions in oncology. We have generated a concise table of drug-drug interactions that provides a synopsis of the clinical outcome of the interaction along with a recommendation for management. We have also generated other tables that describe specific interactions with methotrexate and dosing guidelines for cytotoxic drugs in the presence of renal or hepatic dysfunction. Since warfarin is one of the non-anticancer drugs that is commonly used in cancer patients for the treatment and prevention of venous thromboembolism, its interactions with other anticancer drugs that have been reported in literatures were also reviewed in this paper. In general, drug interactions observed in cancer patients may be categorized into pharmacokinetic, pharmacodynamic and pharmaceutic interactions. Pharmacokinetic interactions involve one drug altering the absorption, distribution, metabolism, or excretion of another drug. Interpatient variability in the pharmacokinetic profile of many anticancer agents often complicates the predictability of the antitumor response and toxicities. Among four pharmacokinetic characteristics, drug interactions involving hepatic metabolism is probably the most common and important mechanism responsible for oncologic drug interactions. For example, several anticancer drugs including taxanes, vinca alkaloids, and irinotecan are known to be metabolized by cytochrome CYP3A4. Enzyme-inducing anticonvulsants have been shown to significantly decrease the plasma levels of these anticancer drugs, thereby compromising the anti-tumor effects. N ephrotoxicity or changes in hepatic function caused by some anticancer drugs (e.g., cisplatin, asparaginase) may also have an impact on the pharmacokinetics of the interacting agents. Pharmacodynamic interactions may occur when two or more drugs acting at a common receptor-binding site impact on the pharmacologic action of the object drug, without influencing the pharmacokinetics of each interacting agent. In clinical setting, a decrease of antitumor efficacy was observed in breast cell lines when gemcitabine or vinorelbine were used in combination with paclitaxel. On the other hand, a decreased incidence of thrombocytopenia was seen in patients receiving combination of carboplatin and palcitaxel compared to those receiving carboplatin alone. The third type of drug-drug interaction is known as pharmaceutic interaction. When one drug may alter the physical or chemical compatibility of another drug that utlimately leads to a change in appearance of the solution or a decrease of effectiveness of the drug due to drug inactivation or degradation.

The palliation of cerebral tumours with high-dose dexamethasone: a review

The historical use of corticosteroids for cerebral oedema due to malignancy is reviewed. The mechanisms for the formation and treatment of cerebral oedema are discussed and advice is given as to the clinical use of dexamethasone, including mention of adverse effects and drug interactions.

Seizures and cancer: drug interactions of anticonvulsants with chemotherapeutic agents, tyrosine kinase inhibitors and glucocorticoids

Patients with cancer commonly experience seizures. Combined therapy with anticonvulsant drugs (AEDs) and chemotherapeutic drugs or tyrosine kinase inhibitors carries inherent risks on drug-drug interactions (DDIs). In this review, pharmacokinetic studies of AEDs with chemotherapeutic drugs, tyrosine kinase inhibitors, and glucocorticoids are discussed, including data on maximum tolerated dose, drug clearance, elimination half-life, and organ exposure. Enzyme-inducing AEDs (EIAEDs) cause about a 2-fold to 3-fold faster clearance of concurrent chemotherapeutic drugs metabolized along the same pathway, including cyclophosphamide, irinotecan, paclitaxel, and teniposide, and up to 4-fold faster clearance with the tyrosine kinase inhibitors crizotinib, dasatinib, imatinib, and lapatinib. The use of tyrosine kinase inhibitors, particularly imatinib and crizotinib, may lead to enzyme inhibition of concurrent therapy. Many of the newer generation AEDs do not induce or inhibit drug metabolism, but they can alter enzyme activity by other drugs including AEDs, chemotherapeutics and tyrosine kinase inhibitors. Glucocorticoids can both induce and undergo metabolic change. Quantitative data on changes in drug metabolism help to apply the appropriate dose regimens. Because the large individual variability in metabolic activity increases the risks for undertreatment and/or toxicity, we advocate routine plasma drug monitoring. There are insufficient data available on the effects of tyrosine kinase inhibitors on AED metabolism.

Seizure prophylaxis and melanoma brain metastases

Melanoma has a high propensity to metastasize to the brain. In patients with brain metastases (BM) survival is limited, neurologic morbidity is high, with seizure incidence reported up to 67%. Current guidelines recommend against antiepileptic drug prophylaxis (AED PPX) in patients without a history of seizure. We reviewed our experience with melanoma BM to determine the efficacy of AED PPX in the era of second generation AED and to delineate risk factors associated with development of seizures. We reviewed records of all patients treated at Memorial Sloan-Kettering Cancer Center with melanoma and BM between May 2006 and October 2008. Seizure risk was studied relative to BM characteristics at diagnosis and AED PPX. We identified 109 patients. Median age was 61 years (range 29-91); 56% had no neurologic symptoms at diagnosis. On neuroimaging, 94% (102/109) had cortical lesions, 60% (65/109) had more than one supratentorial lesion, 54% (59/109) had hemorrhage. Seizure led to diagnosis of BM in 13% (14/109); 20% (22/109) developed seizures later. On univariate analysis among patients without a seizure at diagnosis, AED-PPX was significantly associated with decreased risk of seizure (P = 0.03) with 3-month seizure rate of 0% compared to 17% without AED-PPX. Hemorrhage (P < 0.001) and multiple supratentorial metastases (P = 0.03) were associated with increased seizure risk. Melanoma patients with multiple supratentorial BM and hemorrhage may have an increased risk of seizure. AED PPX may be effective in selected patients, and should be addressed in a randomized controlled trial.

Interactions of serum albumin, valproic acid and carbamazepine with the pharmacokinetics of phenytoin in cancer patients

Phenytoin dosing is critical in cancer patients as to decreased absorption secondary to chemotherapy-induced gastrointestinal toxicity, increased phenytoin metabolism in the liver secondary to chemotherapy, extreme patient profile that falls outside the predicted pharmacokinetic population, frequent hypoalbuminaemia and polydrug treatment. A retrospective study to assess the variability of free phenytoin and the free fraction of phenytoin, as well as the influence of comedication on these parameters was performed in cancer patients by using a population approach. Two hundred fifty-eight data pairs of total phenytoin and free phenytoin were analysed from 155 cancer patients on stable phenytoin using non-linear mixed-effect modeling (NONMEM). Total and free phenytoin were determined using a fluorescence polarization immunoassay. An extensive model building procedure was subsequently used for covariate testing on the free fraction of phenytoin. Mean total phenytoin concentration was 11.7 mg/l, free phenytoin 1.25 mg/l and phenytoin free fraction 0.107. Free phenytoin was <1 mg/l on 132 occasions (51.2%) and >2 mg/l on 37 occasions (14.3%). Total and free phenytoin were significantly correlated (r(S)=0.827, P<0.01). The free fraction of phenytoin was independent of time after drug intake. Serum albumin concentrations and comedication with valproic acid or carbamazepine were identified by NONMEM as significant determinants of phenytoin free fraction. Co-medication with valproic acid and carbamazepine led to a 52.5% and 38.5% increase of the free fraction of phenytoin, respectively, and a 10 g/l decrease of serum albumin to a 15.1% increase of the free fraction of phenytoin. Phenytoin pharmacokinetics could reliably be estimated from oral doses and steady-state concentrations of protein-bound and free phenytoin. The variability in the free fraction of phenytoin could partly be explained by the influence of albumin concentrations and antiepileptic comedication. Significant alterations of the free fraction of phenytoin and free phenytoin by co-administration of valproic acid or carbamazepine suggest therapeutic drug monitoring of free phenytoin to be of potential benefit in cancer patients.

Interactions between antiepileptic and chemotherapeutic drugs

Cancer and epilepsy commonly co-occur, and concomitant administration of antiepileptic (AEDS) and chemotherapeutic drugs (CTDs) is necessary in many cases. Many drugs are metabolised by the hepatic cytochrome P450 (CYP) isoenzyme system, and coadministration of AEDs and CTDs can lead to clinically relevant interactions by induction or inhibition of enzymes in shared metabolic pathways. These interactions can cause insufficient tumour and seizure control or lead to unforeseen toxicity. Enzyme-inducing AEDs reduce the effects of taxanes, vinca alkaloids, methotrexate, teniposide, and camptothecin analogues. Inhibition of the metabolism of nitrosoureas or etoposide by valproic acid can lead to CTD toxicity. Poor seizure control may result from the combinations of phenytoin with cisplatin or corticosteroids, and valproic acid with methotrexate. Increased toxicity of AEDs can occur when phenytoin is combined with 5-fluorouracil. Use of enzyme-inducing AEDs should be avoided in patients with cancer, particularly in association with chemotherapy. Generally, valproic acid-although not free from interactions-would be the agent of first choice. Some of the newer AEDs not metabolised by the P450 system may prove to be good alternatives.

Prophylactic anticonvulsants in patients with brain tumour

OBJECTIVE

We conducted a clinical trial to determine if prophylactic anticonvulsants in brain tumour patients (without prior seizures) reduced seizure frequency. We stopped accrual at 100 patients on the basis of the interim analysis.

METHODS

One hundred newly diagnosed brain tumour patients received anticonvulsants (AC Group) or not (No AC Group) in this prospective randomized unblinded study. Sixty patients had metastatic, and 40 had primary brain tumours. Forty-six (46%) patients were randomized to the AC Group and 54 (54%) to the No AC Group. Median follow-up was 5.44 months (range 0.13-30.1 months).

RESULTS

Seizures occurred in 26 (26%) patients, eleven in the AC Group and 15 in the No AC Group. Seizure-free survivals were not different; at three months 87% of the AC Group and 90% of the No AC Group were seizure-free (log rank test, p = 0.98). Seventy patients died (unrelated to seizures) and survival rates were equivalent in both groups (median survival = 6.8 months versus 5.6 months, respectively; log rank test, p = 0.50). We then terminated accrual at 100 patients because seizure and survival rates were much lower than expected; we would need > or = 900 patients to have a suitably powered study.

CONCLUSIONS

These data should be used by individuals contemplating a clinical trial to determine if prophylactic anticonvulsants are effective in subsets of brain tumour patients (e.g. only anaplastic astrocytomas). When taken together with the results of a similar randomized trial, prophylactic anticonvulsants are unlikely to be effective or useful in brain tumour patients who have not had a seizure.

The effect of dexamethasone on the pharmacokinetics of triazolam

The effects of short-term use of a small dose of dexamethasone on the pharmacokinetics and pharmacodynamics of the CYP3A4 substrate, triazolam, were examined. In a randomized, double-blind cross-over study with two phases, ten healthy volunteers were given either 1.5 mg dexamethasone or placebo once a day for 4 days. On the 5th day, 0.5 mg triazolam was administered orally. Plasma triazolam concentrations and effects of triazolam were measured for 10 hr. Dexamethasone did not have statistically significant effects on the pharmacokinetics of triazolam. The mean total area under the plasma triazolam concentration-time curve was, however, 19% smaller during the dexamethasone phase than during the placebo phase (11.4 +/- 5.7 ng ml-1 hr versus 14.1 +/- 8.8 ng ml-1 hr (mean +/- S.D.); P = 0.09). The four psychomotor tests employed did not show significant differences in the effects of triazolam between the phases. Although dexamethasone had only small effects on the pharmacokinetics and pharmacodynamics of triazolam in the present study, higher doses or prolonged use of dexamethasone might cause a more pronounced induction of CYP3A4. Further studies on the effects of dexamethasone on the pharmacokinetics of CYP3A4 substrates in man are needed.

Possible interaction involving phenytoin, dexamethasone, and antineoplastic agents: a case report and review

OBJECTIVE

To describe a patient with subtherapeutic phenytoin concentrations and to review the literature regarding a possible interaction between phenytoin and chemotherapeutic agents as well as dexamethasone.

CASE SUMMARY

A 29-year-old white man with brain metastases secondary to malignant melanoma consistently had suboptimal phenytoin concentrations while receiving chemotherapy consisting of cisplatin, carmustine, dacarbazine, and tamoxifen. In addition, this patient received dexamethasone, which may have influenced his phenytoin concentrations.

DATA SOURCES AND STUDY SELECTION

Case reports were identified through a MEDLINE search and by cross referencing the articles identified.

DISCUSSION

The available literature addressing suboptimal phenytoin concentrations in the setting of chemotherapy is reviewed. Aggressive dosing of phenytoin may be required to achieve therapeutic concentrations in patients who are concurrently receiving chemotherapy and/or dexamethasone, especially in patients who fall outside the predictive pharmacokinetic model for phenytoin.

CONCLUSIONS

Subtherapeutic phenytoin concentrations may be decreased secondary to several proposed mechanisms: (1) the patient falls outside the predicted pharmacokinetic population parameters for phenytoin, (2) phenytoin absorption is decreased secondary to chemotherapy-induced gastrointestinal toxicity, and (3) metabolism of phenytoin is increased secondary to chemotherapy agents.

Clinical pharmacokinetic considerations in the treatment of increased intracranial pressure

Life-threatening increased intracranial pressure can be reversed by a variety of drugs. These compounds all have some disadvantages, producing rebound effects, severe coma or cardiovascular depression and electrolyte imbalance. However, reduction of intracranial pressure is a prerequisite for recovery and the benefits of treatment outweigh the risks. Dexamethasone is rapidly eliminated, the short half-life (about 3 hours) indicating that dosage intervals should be kept small. As yet, however, its therapeutic efficacy has not been clearly demonstrated. Therefore, an association between pharmacokinetics and pharmacodynamics cannot be established. Osmotic diuretics are the most widely used agents for reduction of intracranial pressure. Pharmacokinetics show a very close relationship to changes in serum osmolality, but there are large variations in the clearance. For the use of osmotics, the blood-brain barrier must be intact. Osmotic diuretics may lead to intracerebral oedema or to acute renal failure as serum osmolality increases. Considering the pharmacokinetics of each drug, and the dynamics of intracerebral pressure and osmolality, an intermittent, individually titrated dosage should be administered, with simultaneous monitoring of intracranial pressure. Frusemide (furosemide) can be used as an adjunct, to enhance the effect of osmotic diuretics. Its pharmacokinetics are limited by renal function, depending on age as well as on the extent of renal impairment. Altered renal elimination of concomitantly administered drugs, and electrolyte imbalances should be anticipated when diuretics are used. Barbiturates are certain to decrease intracranial pressure in humans by an as yet unknown mechanism. Their administration is recommended for patients that do not respond to conventional therapy. As barbiturates can result in deep coma, knowledge of their pharmacokinetics is of great importance for recovery. Following single doses, pentobarbitone has a relatively long elimination half-life (about 22 hours). However, after repeated administration for several days, its elimination may be enhanced due to autoinduction. Thiopentone kinetics are characterised by distribution and redistribution into deep peripheral compartments. Administration of high and frequent doses leads to considerably delayed recovery. This is not true for methohexitone, which shows comparable pharmacokinetics after single and multiple dose administration. Elimination depends on liver blood flow. Thus, recovery from methohexitone-coma is rapid. Rapid elimination is also an important characteristic of etomidate and alphaxalone/alphadolone, two non-barbiturate hypnotics.(ABSTRACT TRUNCATED AT 400 WORDS)