Impact of the first wave of the COVID-19 pandemic on French Health students.

CONTEXT: In France, care workers and health students have been intensely mobilized during the first wave of the COVID-19 pandemic. But few studies have evaluated psychological distress on non-medical health students, in addition to the challenges posed by pedagogical continuity while universities are closed following health and safety regulations. OBJECTIVES: This study aims to assess COVID-19's impact on health students in France on different levels: psychological, educational and social. METHODS: An online national cross-sectional study, from April 11 to May 30 2020, included sociodemographic, work conditions and numeric scales. RESULTS: A total of 4411 students answered. Regarding the K6 scale, 39% of students had moderate distress, and 21% had a high level of distress. Risk factors of psychological distress included being a woman (P<0.001), being between 19 and 21 years old (P<0.001), living alone (P=0.008), and not having the ability to isolate (P<0.001). Students on the frontline had less psychological distress (57 vs 62%, P=0.003), better quality of sleep (34% vs 28% high quality, P<0.001) but a higher consumption of medical (8.5% vs 6.5%, P=0.044) and non-medical (18% vs 10%, P<0.001) psychotropic drugs. Nurse and medical students had more distress and used more non-medical psychotropic substances than other health students (15% vs 9.2%). DISCUSSION: COVID-19' crisis had an important impact on health students' mental health, social life and training with discrepancies regarding the speciality whether they were on the frontline or not. There is an urgent need for psychological and pedagogical support for students, and even more so regarding the prolongation of the COVID-19 epidemic.

Screening for childhood lead poisoning in the industrial region of Fez, Morocco.

The study objectives were to estimate lead poisoning prevalence among children living next to an industrial area, to compare it to that in a control population, and to establish clinical and biological follow-up of the poisoned children. This is a descriptive cross-sectional study including 150 children (exposed and unexposed) performed between January 2012 and April 2013. It was meant to determine blood lead levels (BLLs) in children considered to be an exposed population (EP N 90), living in the industrial area Ain Nokb Fez compared with BLLs of children of other areas belonging to the same city supposed to be unexposed [UP (N = 60)]. A sociodemographic questionnaire was obtained, and a blood lead analysis was performed. Clinical and biological follow-up has been performed of poisoned children. The sample consisted of 90 EP children with an average age of 6.82 ± 3.32 years and male-to-female sex ratio (SR) of 1.5 and 60 UP children with an average age of 6.45 ± 3.29 years and an SR of 1.2. Among the 150 children recruited, the average of BLLs was 58.21 ± 36 µg/L (18-202.3 µg/L). The average of BLLs in EP children (71 ± 40 µg/L) was statistically greater (p < 0.0001) than that registered in UP children (38 ± 13 µg/L). All poisoned children belonged to the EP group at a prevalence of 21.1 %. The clinical and biological examinations of poisoned children showed a few perturbations such as anemia, hypocalcaemia, and deficiencies in magnesium and iron. No renal disease or objective neurological disorders were observed. In the follow-up of the children with BLL ≥100 µg/L (19 cases). BLL monitoring showed a significant decrease in average of blood concentration ranging from 136.75 ± 32.59 to 104.58 ± 32.73 µg/L (p < 0.0001) and in lead poisoning prevalence (p < 0.001), which decreased to 7.8 % from 21.1. Our study showed a high prevalence of lead poisoning (21.1 %) in EP children. The relocation of the industrial site associated with corrective and preventive measures has contributed to a decrease of exposure and lead poisoning prevalence in the aforementioned population.

Pharmacokinetic and pharmacodynamic variability of fluindione in octogenarians.

In the PREPA observational study, we investigated the factors influencing pharmacokinetic and pharmacodynamic variability in the responses to fluindione, an oral anticoagulant drug, in a general population of octogenarian inpatients.Measurements of fluindione concentrations and international normalized ratio (INR ) were obtained for 131 inpatients in whom fluindione treatment was initiated. Treatment was adjusted according to routine clinical practice. The data were analyzed using nonlinear mixed-effects modeling, and the parameters were estimated using MONOLI X 3.2. The pharmacokinetics (PK) of fluindione was monocompartmental, whereas the evolution of INR was modeled in accordance with a turnover model (inhibition of vitamin K recycling). Interindividual variability (II V) was very large. Clearance decreased with age and with prior administration of cordarone. Patients who had undergone surgery before the study had lower IC50 values, leading to an increased sensitivity to fluindione. Pharmacokinetic exposure is substantially increased in elderly patients, warranting a lower dose of fluindione.

Pharmacokinetic analysis of pralidoxime after its intramuscular injection alone or in combination with atropine-avizafone in healthy volunteers.

BACKGROUND AND PURPOSE: Treatment of organophosphate poisoning with pralidoxime needs to be improved. Here we have studied the pharmacokinetics of pralidoxime after its intramuscular injection alone or in combination with avizafone and atropine using an auto-injector device. EXPERIMENTAL APPROACH: The study was conducted in an open, randomized, single-dose, two-way, cross-over design. At each period, each subject received either intramuscular injections of pralidoxime (700 mg), or two injections of the combination: pralidoxime (350 mg), atropine (2 mg), avizafone (20 mg). Pralidoxime concentrations were quantified using a validated LC/MS-MS method. Two approaches were used to analyse these data: (i) a non-compartmental approach; and (ii) a compartmental modelling approach. KEY RESULTS: The injection of pralidoxime combination with atropine and avizafone provided a higher pralidoxime maximal concentration than that obtained after the injection of pralidoxime alone (out of bioequivalence range), while pralidoxime AUC values were equivalent. Pralidoxime concentrations reached their maximal value earlier after the injection of the combination. According to Akaike and to goodness of fit criteria, the best model describing the pharmacokinetics of pralidoxime was a two-compartment with a zero-order absorption model. When avizafone and atropine were injected with pralidoxime, the best model describing pralidoxime pharmacokinetics becomes a two-compartment with a first-order absorption model. CONCLUSIONS AND IMPLICATIONS: The two approaches, non-compartmental and compartmental, showed that the administration of avizafone and atropine with pralidoxime results in a faster absorption into the general circulation and higher maximal concentrations, compared with the administration of pralidoxime alone.

Bioavailability of diazepam after intramuscular injection of its water-soluble prodrug alone or with atropine-pralidoxime in healthy volunteers.

BACKGROUND AND PURPOSE: The aim of this study was to assess the relative bioavailability of diazepam after administration of diazepam itself or as a water-soluble prodrug, avizafone, in humans. EXPERIMENTAL APPROACH: The study was conducted in an open, randomized, single-dose, three-way, cross-over design. Each subject received intramuscular injections of avizafone (20 mg), diazepam (11.3 mg) or avizafone (20 mg) combined with atropine (2 mg) and pralidoxime (350 mg) using a bi-compartmental auto-injector (AIBC). Plasma concentrations of diazepam were quantified using a validated LC/MS-MS assay, and were analysed by both a non-compartmental approach and by compartmental modelling. KEY RESULTS: The maximum concentration (C(max)) of diazepam after avizafone injection was higher than that obtained after injection of diazepam itself (231 vs. 148 ng.mL(-1)), while area under the curve (AUC) values were equal. Diazepam concentrations reached their maximal value faster after injection of avizafone. Injection of avizafone with atropine-pralidoxime (AIBC) had no effect on diazepam C(max) and AUC, but the time to C(max) was increased, relative to avizafone injected alone. According to the Akaike criterion, the pharmacokinetics of diazepam after injection as a prodrug was best described as a two-compartment with zero-order absorption model. When atropine and pralidoxime were injected with avizafone, the best pharmacokinetic model was a two-compartment with a first-order absorption model. CONCLUSION AND IMPLICATIONS: Diazepam had a faster entry to the general circulation and achieved higher C(max) after injection of prodrug than after the parent drug. Administration of avizafone in combination with atropine and pralidoxime by AIBC had no significant effect on diazepam AUC and C(max).

Population pharmacokinetic analysis for nelfinavir and its metabolite M8 in virologically controlled HIV-infected patients on HAART.

AIMS: To describe the pharmacokinetics of nelfinavir and its main metabolite M8 in HIV-infected patients with a sustained virological response, to characterize the effect of covariates and to estimate inter- and intra-individual variability in the pharmacokinetics. METHODS: Three hundred and twenty concentrations of both nelfinavir and M8 were measured in 46 patients enrolled in the COPHAR 1-ANRS 102 study. Blood samples were taken at a first visit (one sample before drug administration and four samples at fixed times after) and at a second visit 1 to 3 months later (one before and one 3 h after drug administration). The data from both visits on nelfinavir and M8 were modelled jointly in all patients using a population approach. RESULTS: A one-compartment model with first-order absorption and elimination best described nelfinavir data, with an additional compartment incorporating a first order rate-constant describing the metabolism of the drug to M8. For nelfinavir, the apparent volume of distribution (V/F ) (95% confidence interval for the mean), was 309 l (185, 516), the absorption rate constant (k(a)) was 0.4 h(-1) (0.2, 0.8), and the apparent clearance (CL/F ) was 37.3 l h(-1) (32, 44). For M8, V(m) /(Fk(m)) and CL(m)/(Fk(m)) were 866 l h(-1) (351, 2161) and 1670 l (965, 2894), respectively. The interindividual variabilities were 34.9%, 34.3% and 62.2% for V/F, CL/F and CL(m)/(Fk(m)), respectively. The interoccasion variability was 27.8% for CL/F. The mean half-lives were 05.38 h and 00.44 h for nelfinavir and M8, respectively. Significant but opposite effects of comedication with zidovudine were found on nelfinavir CL/F and M8 CL(m)/(Fk(m)), but they were not considered to be clinically relevant. CONCLUSIONS: A joint model was found to describe adequately nelfinavir and M8 concentrations and was used to estimate pharmacokinetic parameters for M8. The model can be used to build reference pharmacokinetic profiles for therapeutic drug monitoring of the drug.

Hepatotoxicity associated with the use of a fixed combination of chloroquine and proguanil.

Here we report on a case of hepatotoxicity associated with the use of a fixed combination of chloroquine and proguanil. Alternative causes of liver injury were excluded. The pathophysiological mechanism remains unclear, with a possibility of allergic reaction. In view of the widespread use of both drugs, clinicians should be aware of this drug-induced liver injury.

Comparison of pharmacokinetics and metabolism of desloratadine, fexofenadine, levocetirizine and mizolastine in humans.

Abstract Absorption, distribution, metabolism and excretion of desloratadine, fexofenadine, levocetirizine, and mizolastine in humans have been compared. The time required to reach peak plasma levels (tmax) is shortest for levocetirizine (0.9 h) and longest for desloratadine (> or =3 h). Steady-state plasma levels are attained after about 6 days for desloratadine, 3 days for fexofenadine, 2-3 days for mizolastine and by the second day for levocetirizine. The apparent volume of distribution is limited for levocetirizine (0.4 L/kg) and mizolastine (1-1.2 L/kg), larger for fexofenadine (5.4-5.8 L/kg) and particularly large for desloratadine (approximately 49 l/kg). Fexofenadine and levocetirizine appear to be very poorly metabolized (approximately 5 and 14% of the total oral dose, respectively). Desloratadine and mizolastine are extensively metabolized. After administration of 14C-levocetirizine to healthy volunteers, 85 and 13% of the radioactivity are recovered in urine and faeces, respectively. In contrast, faeces are the preferential route of excretion for 14C-fexofenadine (80% vs. 11% of the radioactive dose in urine). The corresponding values are 41% (urine) and 47% (faeces) for 14C-desloratadine, 84-95% (faeces) and 8-15% (urine) for 14C-mizolastine. The absolute bioavailability is 50-65% for mizolastine; it is high for levocetirizine as the percentage of the drug eliminated unchanged in the 48 h urine is 77% of the oral dose; the estimation for fexofenadine is at least 33%; no estimation was found for desloratadine. Fexofenadine is a P-glycoprotein (P-gp) substrate and P-gp is certainly involved both in the poor brain penetration by the compound and, at least partially, in a number of observed drug interactions. An interaction of desloratadine with P-gp has been suggested in mice, whereas the information on mizolastine is very poor. The fact that levocetirizine is a substrate of P-gp, although weak in an in vitro model, could contribute to prevent drug penetration into the brain, whereas it is unlikely to be of any clinical relevance for P-gp-mediated drug interactions.

Medication misuse in hospitalized patients with renal impairment.

OBJECTIVES: The potential consequences of medication misuse in renal impairment have not been assessed in a population of in-patients. The purpose of this study was to determine the frequency and potential consequences of a lack of dosage adjustment in hospitalized patients with renal impairment. DESIGN: Order sheets for in-patients having a creatinine above 0.7 mg/dl were analysed. We considered the appropriateness of prescriptions for medications having potential nephrotoxicity and/or eliminated through renal excretion or metabolism (TEM medications) and having manufacturer's guidelines for dosage adjustment in renal impairment. MAIN MEASURES: On the basis of these guidelines, each line of prescription was rated as 'appropriate order', 'inappropriate dosage', or 'contra-indicated order'. Experts also rated prescriptions as potentially fatal or severe, serious, significant, or without potential for increased adverse effects. RESULTS: Two hundred and two order sheets were completed for 164 patients. They totalled 1469 lines of prescription, 85% of which were TEM medications, with guidelines for dosage adjustment for 71% of them (n = 886). Of these 886 prescriptions, 34% were inappropriate, 14% being contra-indicated and 20% with inappropriate dosage given the patient's renal function. Among the 202 order sheets, 75% included at least one inappropriate prescription. Sixty-three per cent included at least one prescription with potentially adverse consequences, 3% of these having potentially fatal or severe consequences. CONCLUSION: This study confirms that physicians do not take into account sufficiently patient renal function when prescribing. In light of these results, improving the quality of drug prescription in patients with renal impairment could be of importance for improving the quality of care.

An in vivo pharmacokinetic/pharmacodynamic model for antiretroviral combination.

PURPOSE: The objective of this study was to investigate the pharmacokinetic/pharmacodynamic properties of an antiretroviral therapy in HIV-infected patients. METHOD: Eight HIV-infected patients received zidovudine, lamivudine, and indinavir as their first antiretroviral treatment. Pharmacokinetic data were analyzed separately using a one-compartmental model with first-order absorption, and the individual estimates were used to simulate drug concentrations. To determine the relationship between drug concentrations and the antiviral effect, an in vitro E(max) model was tested. Alternatively, a dynamic model was built describing the viral and cellular pathophysiology, including the turnover of viral replication in infected cells and the production of virus under treatment. RESULT: The E(max) model fit poorly the experimental data. The complex model was not identifiable with the data available in this study, however a simplified model allowed us to estimate the pharmacodynamic parameters reflecting the decrease of both infected cells and viral load under antiretroviral treatment. CONCLUSION: Using potent highly active antiretroviral therapy, the treatment was so effective that it was not possible to estimate the parameters of the relationship between drug concentrations and the reduction of viral load. Even if the relationship does exist, the direct response model of antiretroviral agents cannot be demonstrated, however the simplified model provides an understanding of the synergy of such a combination and offers suggestions as how to prevent the emergence of viral resistant strains.

P-glycoprotein in blood CD4 cells of HIV-1-infected patients treated with protease inhibitors.

OBJECTIVE: Many factors are involved in the virological failure of antiretroviral treatments such as low pharmacological plasma levels of drugs, poor adherence to therapy and emergence of viral resistance. P-glycoprotein (P-gp) has been demonstrated to play a role in multidrug resistance in the therapy of solid tumours, haematological malignancies and Plasmodium falciparum infection. HIV-1 protease inhibitors (PIs) have been described to be substrates of P-gp. In vitro and in vivo studies performed in mice have demonstrated that P-gp may affect the oral bioavailability and intracellular accumulation of PIs. P-gps have been detected on peripheral CD4 blood cells in HIV-1-infected, but antiretroviral-naive patients. METHOD: We quantified P-gp expression and performed functional tests of P-gp activity in the CD4 cells in HIV-1-infected patients, with and without virological failure, treated with PIs, and in healthy patients (control group). RESULT: Out of the 18 HIV-infected patients studied, P-gp expression and function were found in the CD4 cells of six patients (four of 10 without, and two of eight with virological failure). Out of the 43 healthy patients studied, P-gp expression and function were found in the CD4 cells of 11 patients (26%). We found P-gp in peripheral CD4 cells of patients treated with PIs, with and without virological failure, within the same frequency than in antiretroviral naive patients or than in non HIV-infected patients. CONCLUSIONS: P-gp expression in peripheral CD4 blood cells does not seem to be enhanced by PI treatment and does not seem to be linked particularly to virological failures. These facts do not preclude of the role of P-gp on PI absorption or efficacy in other compartments of the body such as gut, lymph nodes or brain in HIV-1 PI-treated patients.

Sensitive determination of nefopam and its metabolite desmethyl-nefopam in human biological fluids by HPLC.

Nefopam (NEF) and desmethyl-nefopam (DMN) were assayed simultaneously in plasma, globule and urine samples using imipramine as internal standard. A liquid-liquid extraction procedure was coupled with a reverse phase high-performance liquid chromatography system. This system requires a mobile phase containing buffer (15 mM KH(2)PO(4) with 5 mM octane sulfonic acid: pH 3.7) and acetonitrile (77:33, v/v) through (flow rate=1.5 ml/min) a C(18) Symmetry column (150x4.6 I.D., 5 micrometer particle size: Waters) and a UV detector set at 210 nm. Internal standard was added to 1 ml of plasma or globule sample or 0.5 ml of urine sample, prior to the extraction under alkaline ambiance with n-hexane. The limits of quantification were 1 and 2 ng/ml for both molecules in plasma and globule, respectively; 5 and 10 ng/ml for NEF and DMN in urine, respectively. The method proved to be accurate and precise: the relative error at three concentrations ranged from -13.0 to +12.3% of the nominal concentration for all molecule and biological fluid; the within-day and between-day precision (relative standard deviation %) ranged from 1.0 to 10.1% for all the molecules and biological fluids. The method was linear between 1 and 60 ng/ml for both molecules in the plasma; 2 and 25 ng/ml for both molecules in the globule; 25 and 250 ng/ml for NEF and 50 and 500 ng/ml for DMN in the urine: correlation coefficients of calibration curves (determined by least-squares regression) of each molecule were higher than 0.992 whatever the biological fluid and during the pre-study and in-study validations. This method was successfully applied to a bio-availability study of NEF in healthy subjects.

Simultaneous determination of quinapril and its active metabolite quinaprilat in human plasma using high-performance liquid chromatography with ultraviolet detection.

A high-performance liquid chromatography (HPLC) procedure for the simultaneous determination of quinapril and its active metabolite quinaprilat in human plasma samples is described. A one-step solid-phase extraction (SPE) with C18 cartridges was coupled with a reversed-phase HPLC system. The system requires two mobile phases composed of tetrabutyl ammonium hydrogensulfate (10 mM adjusted to pH 7)-acetonitrile (62:38, v/v) for quinapril, and (25:75, v/v) for quinaprilat elution through a C18 Symmetry column and detection at a wavelength of 215 nm. Calibration curves were linear over the ranges 20 to 1,000 ng/ml for quinaprilat and 10 to 500 for quinapril. The limits of quantification were 20 and 10 ng/ml for quinaprilat and quinapril, respectively. Extraction recoveries were higher than 90% for quinapril and 80% for quinaprilat. This method has been successfully applied to a bioequivalence study of quinapril in healthy subjects.

Pharmacodynamics and pharmacokinetics of single nasal (5 mg and 10 mg) and oral (50 mg) doses of ephedrine in healthy subjects.

OBJECTIVE: To determine the cardiovascular, subjective effects and potential of abuse liability of single dose (-) ephedrine (E) administered orally (50 mg) or intranasally (10 mg and 5 mg). METHODS: Sixteen healthy Caucasian men with no history of drug/alcohol/nicotine abuse or dependence received intranasal single doses of E 5 mg, 10 mg and oral doses of 50 mg and placebo in a double-blind, double-dummy, crossover study. Dependent measures included assessment of subjective feelings by Addiction Research Centre Inventory (ARCI). Profile of Mood States (POMS). visual analogue scales (VAS); "drug liking", "any drug effect", subjective quality of sleep and blood pressure and heart rate. Plasma E concentrations were also determined. RESULTS: (-) E increased supine systolic, diastolic blood pressure (P < 0.01). Changes in supine systolic blood pressure (areas under the 8 h of the experimental sessions) were -59 +/- 47 mmHgh with placebo, -59 +/- 57 mmHg-h with E5 mg by the nasal route, -18 +/- 48 mmHg x h with E 10 mg by the nasal route and 13 +/- 58 mmHgh with E 50 mg by the oral route (P<0.001). (-) E-induced orthostatic hypotension (P < 0.01) (maximal systolic blood pressure drop: E 50 mg 14 +/- 10 mmHg, P < 0.03; E 10 mg 11 +/- 6 mmHg, P = 0.08 compared with placebo) and resulted in decreased tiredness (placebo -2 +/- 39 mm x h, E 5 mg -17 +/- 39 mm x h, E 10 mg -30 +/- 42 mm x h, E 50 mg -24 +/- 35 mm x h; P < 0.03). E did not modify ARCI subscales--in particular the "amphetamine" subscale--but showed a tendency for drug liking (P= 0.09). On the "any drug effect" questionnaire, subjects could identify drug effect (P=0.007). Maximal plasma E concentration (Cmax) and areas under the curves for up to 8 h were proportional to the doses. Elimination half-life was approximately 6 h. A clockwise hysteresis was observed for systolic blood pressure in all but one subject with E 50 mg by the oral route. CONCLUSION: E even at low doses and by the nasal route can decrease tiredness in healthy persons; this is accompanied by a substantial increase in blood pressure and orthostatic hypotension exposing individuals in case of intensive physical exercise to cardiovascular risks. No clear evidence of abuse liability in healthy drug naive subjects was observed.

Clinical pharmacokinetics of mizolastine.

Mizolastine is a new histamine H1 receptor antagonist. Mizolastine 10 mg/day is effective in allergic rhinitis and chronic idiopathic urticaria. In young healthy volunteers, absorption of mizolastine is rapid with time (tmax) to peak concentration (Cmax) of about 1 hour. The absolute bioavailability of mizolastine 10mg tablets is about 65%. Distribution is rapid with a mean distribution half-life of 1.5 to 1.9 hours. Mizolastine is >98% bound to serum albumin and the apparent volume of distribution is between I and 1.4 L/kg. Mizolastine is extensively metabolised by hepatic glucuronidation and sulphation, with no major active metabolite, and excreted in faeces. The terminal elimination half-life (t1/2beta) is 7.3 to 17.1 hours. The apparent oral clearance after a repeated oral dose of 10mg is 6.02 L/h, with steady state reached from day 3 and no accumulation between days 1 and 7. Cmax and area under the concentration-time curve (AUC) are linearly related to dose. Mizolastine appears in vivo to be a relatively weak inhibitor of cytochrome P450 2E1, 2C9, 2D6 and 3A4. In vivo, no interactions were observed between mizolastine and lorazepam or ethanol. A significant increase in Cmax and trough plasma concentration (Cmin) of digoxin occurred after coadministration with mizolastine, without change in AUC, tmax or clinical parameters. Significant increases in theophylline Cmin and AUC were observed after coadministration with mizolastine. Mizolastine Cmax and AUC were increased when coadministered with erythromycin, with no change in t1/2beta. Concomitant administration of mizolastine and ketoconazole increased mizolastine AUC values with no change in t1/2beta. In a population analysis of the pharmacokinetics of mizolastine in patients with allergies, parameter values were close to those in healthy volunteers, except for duration of absorption, which was almost doubled in the patients. Bodyweight and creatinine clearance were found to have little influence on oral clearance, and no influence of liver transaminases was found on clearance and distribution. Pharmacokinetic parameters of mizolastine in elderly individuals were similar to those observed in healthy young volunteers. In patients with chronic renal insufficiency, t1/2beta was prolonged by 47% compared with young healthy volunteers. In patients with cirrhosis, tmax was longer, Cmax was lower, distribution half-life was prolonged and AUC was 50% higher than in healthy volunteers. In pharmacodynamic-pharmacokinetic trials, the percentage of wheal and flare inhibition was found to correlate with mizolastine Cmin values. No direct relationship was found between drug concentrations in skin blister fluid and antihistamine activity.

Effect of itraconazole on the pharmacokinetics of prednisolone and methylprednisolone and cortisol secretion in healthy subjects.

AIMS: Itraconazole is a potent inhibitor of CYP3A4 activity and is often used in combination with corticosteroids. Since the latter are partly metabolized by CYP3A4, we studied the interaction between itraconazole, prednisone and methylprednisolone in healthy male subjects. METHODS: The effects of 4 days administration of oral itraconazole (400 mg on the first day then 200 mg day-1 for 3 days) on the pharmacokinetics of prednisolone after a single oral dose of prednisone (60 mg) and the pharmacokinetics of methylprednisolone after single oral dose of methylprednisolone (48 mg) were studied in 14 healthy male subjects in a two-period cross-over trial. Plasma cortisol concentrations were determined as a pharmacodynamic index. RESULTS: Itraconazole increased the mean area under the methylprednisolone concentration-time curve from 2773 ng ml-1 h to 7011 ng ml-1 h (P < 0.001) and the elimination half-life from 3.2 h to 5.5 h (P < 0.001). The pharmacokinetics of prednisolone were unchanged. Cortisol concentrations at 24 h were lower after administration of methylprednisolone with itraconazole than after methylprednisolone alone (24 ng ml-1 vs 109 ng ml-1, P < 0.001). CONCLUSIONS: Itraconazole increased methylprednisolone concentrations markedly with enhanced suppression of endogenous cortisol secretion, but had no effect on prednisolone pharmacokinetics. The pharmacokinetic interaction between methylprednisolone and itraconazole is probably related to inhibition of hepatic CYP3A4 activity by itraconazole.

Prediction of fluindione maintenance dosage hampered by large intraindividual variability.

In a previous study, the authors proposed a method to individualize fluindione dosage regimen, based on a pharmacokinetic/pharmacodynamic model describing the evolution of the International Normalized Ratio (INR). In this method, daily maintenance dosage for a target INR depends on the product of individual Cl and C50. The present work shows the results of a follow-up study in 50 patients for whom target INR was 2.5. INR measurements and dosage regimens were recorded both during hospital stay and during the 1st month of treatment. Patients were defined as equilibrated after 1 month if the last two INRs were in the range 1.5-3.5 under a stable dosage regimen. Actual maintenance dose was compared with the dose predicted using the three first INRs measured in the hospital. Intraindividual variability of Cl*C50 between hospital stay and after 1 month was evaluated. After 1 month, only 27 patients (54%) were equilibrated. Actual maintenance dose varied from 5 to 30 mg daily. There was no bias between predicted and actual maintenance dose (1.4 mg), but a large root mean squared error (8 mg) was found. The intraindividual variability in Cl*C50 between hospital and maintenance regimen was high (93%), which may explain the dispersion in the predicted maintenance dose.

Oral ganciclovir systemic exposure is enhanced in HIV-infected patients with diarrhea and weight loss.

OBJECTIVE: To determine whether diarrhea and intestinal malabsorption during HIV infection alter oral ganciclovir systemic exposure. METHODS: We studied the oral disposition of ganciclovir in 42 HIV-infected patients stratified into three groups: A (n = 15), HIV (stage A and B); B (n = 13), AIDS (stage C); and C (n = 14), AIDS with chronic diarrhea and wasting syndrome (10% or more weight loss). Each patient was evaluated for nutritional (body mass index, serum albumin and transferrin), immunologic (CD4 count, plasma viral load) and intestinal status (D-xylose test, fecal fat and nitrogen excretion, and intestinal permeability). Following an overnight fast, 1 g oral ganciclovir was given to patients. Six blood samples were collected over 24 hours. Serum was analyzed for ganciclovir by high performance liquid chromatography. Drug disposition was characterized using a population pharmacokinetic approach. RESULTS: Mean intestinal permeability increased as HIV disease progressed (0. 05, 0.1, and 0.2 for groups A, B, and C, respectively). Average weight-adjusted maximum concentration (Cmax) in group C was twofold more than that in group A and B patients (12.5 versus 6 and 6.4 ng/ml/kg), and average area under the curve (AUC0-infinity) was threefold greater in group C patients (193 versus 59 and 65 ng. hour/ml/kg in groups A and B, respectively). Mean oral clearance was threefold lower in group C (96 versus 258 and 212 L/hour in groups A and B, respectively). CONCLUSION: Because systemic exposure of oral ganciclovir is enhanced in AIDS patients with diarrhea and wasting syndrome, oral ganciclovir therapy may benefit these patients.

Determination of twelve antiretroviral agents in human plasma sample using reversed-phase high-performance liquid chromatography.

A new high-performance liquid chromatography (HPLC) with UV detection assay was developed for the simultaneous determination of protease inhibitors (PIs), nucleoside and non-nucleoside reverse transcriptase inhibitors (NRTIs, NNRTIs) using a single 1-ml plasma samples. A solid-liquid extraction procedure without internal standard was coupled with two separate reversed-phase HPLC systems; one for the determination of amprenavir, efavirenz, indinavir, nelfinavir, ritonavir, saquinavir (run time=32 min) and one for the determination of abacavir, didanosine, lamivudine, stavudine, nevirapine, zidovudine (run time=40 min). The first requires a mobile phase containing sodium phosphate buffer+ion pair-acetonitrile (50:50, v/v) through a C18 Symmetry column (250x4.6 mm I.D., 5 microm particle size), using variable wavelengths (241, 254 and 261 nm). The second system requires three mobile phases (potassium phosphate buffer+ion pair-acetonitrile) for different elution through a C18 Symmetry Shield column (250x4.6 mm I.D., 5 microm), using a single wavelength (260 nm). Peak-areas are linear; correlation coefficients are better than 0.998 for all compounds, with both inter- and intra-day relative standard deviations lower than 12%. Extraction recoveries are higher than 93% for PIs and NNRTIs and higher than 70% for NRTIs. The method is specific and sensitive and was used to determine trough and peak levels of antiretroviral drugs in HIV infected patients under various combinations of RTIs and PIs.