Variability in protein binding of teicoplanin and achievement of therapeutic drug monitoring targets in critically ill patients: lessons from the DALI Study

The aims of this study were to describe the variability in protein binding of teicoplanin in critically ill patients as well as the number of patients achieving therapeutic target concentrations. This report is part of the multinational pharmacokinetic DALI Study. Patients were sampled on a single day, with blood samples taken both at the midpoint and the end of the dosing interval. Total and unbound teicoplanin concentrations were assayed using validated chromatographic methods. The lower therapeutic range of teicoplanin was defined as total trough concentrations from 10 to 20 mg/L and the higher range as 10-30 mg/L. Thirteen critically ill patients were available for analysis. The following are the median (interquartile range) total and free concentrations (mg/L): midpoint, total 13.6 (11.2-26.0) and free 1.5 (0.7-2.5); trough, total 11.9 (10.2-22.7) and free 1.8 (0.6-2.6). The percentage free teicoplanin for the mid-dose and trough time points was 6.9% (4.5-15.6%) and 8.2% (5.5-16.4%), respectively. The correlation between total and free antibiotic concentrations was moderate for both the midpoint (ρ = 0.79, P = 0.0021) and trough (ρ = 0.63, P = 0.027). Only 42% and 58% of patients were in the lower and higher therapeutic ranges, respectively. In conclusion, use of standard dosing for teicoplanin leads to inappropriate concentrations in a high proportion of critically ill patients. Variability in teicoplanin protein binding is very high, placing significant doubt on the validity of total concentrations for therapeutic drug monitoring in critically ill patients.

Heparin-binding protein (HBP) in critically ill patients with influenza A(H1N1) infection

Heparin-binding protein (HBP) is an inducer of vascular endothelial leakage in severe infections. Fluid accumulation into alveoli is a general finding in acute respiratory distress syndrome (ARDS). Severe acute respiratory failure with ARDS is a complication of influenza A(H1N1) infection. Accordingly, we studied the HBP levels in critically ill patients with infection of influenza A(H1N1).Critically ill patients in four intensive care units (ICUs) with polymerase chain reaction (PCR) confirmed infection of influenza A(H1N1) were prospectively evaluated. We collected clinical data and blood samples at ICU admission and on day 2. Twenty-nine patients participated in the study. Compared with normal plasma levels, the HBP concentrations were highly elevated at baseline and at day 2: 98 ng/mL (62-183 ng/mL) and 93 ng/mL (62-271 ng/mL) (p 0.876), respectively. HBP concentrations were correlated with the lowest ratio of partial pressure of oxygen in arterial blood to fraction of inspired oxygen (PF ratio) during the ICU stay (rho = -0.321, p <0.05). In patients with and without invasive mechanical ventilation, the baseline HBP levels were 152 ng/mL (72-237 ng/mL) and 83 ng/mL (58-108 ng/mL) (p 0.088), respectively. The respective values at day 2 were 223 ng/mL (89-415 ng/mL) and 81 ng/mL (55-97 ng/mL) (p <0.05). The patients with septic shock/severe sepsis (compared with those without) did not have statistically significant differences in HBP concentrations at baseline or day 2. HBP concentrations are markedly elevated in all critically ill patients with influenza A(H1N1) infection. The increase in HBP concentrations seems to be associated with more pronounced respiratory dysfunction.

Severe hypoglycemia during intensive insulin therapy

BACKGROUND

Tight glycemic control reduces mortality in surgical intensive care patients and in long-term medical intensive care patients. A large study on intensive insulin therapy was prematurely discontinued due to safety issues. As the safety of intensive insulin therapy has been questioned, we screened all patients during a 17-month period to reveal the incidence of hypoglycemia and its effects on the outcome of the patients.

METHODS

All patients treated between February 2005 and June 2006 in two intensive care units (ICUs) of a tertiary care teaching hospital were included in the study. A nurse-driven intensive insulin therapy with a target blood glucose level of 4-6 mmol/l had been introduced earlier. The patients were divided into two groups according to the presence of severe hypoglycemia (<or=2.2 mmol/l).

RESULTS

One thousand two hundred and twenty-four patients (1124 treatment periods) were included. During the study period, 61,203 blood glucose measurements were performed, 2.6% of which were below and 52.6% above the target range. Severe hypoglycemia (glucose <or=2.2 mmol/l) occurred in 25 patients (36 measurements). The incidence was 0.06% of the measurements and 2.3% of the patients. The median age, sex, Acute Physiology And Chronic Health Evaluation II, Simplified Acute Physiology Score II, diagnosis category, ICU or hospital length of stay did not differ between the groups. The hospital mortalities were 25% and 15% in patients with or without severe hypoglycemia, respectively (P=0.16).

CONCLUSION

Severe hypoglycemia during intensive insulin therapy is rare in clinical practice compared with previous clinical trials.

Plasma concentrations and effects of oral methylprednisolone are considerably increased by itraconazole

BACKGROUND

Methylprednisolone is a widely used glucocorticoid. In this study, a possible interaction of itraconazole, a potent inhibitor of CYP3A4, with orally administered methylprednisolone was examined.

METHODS

In this double-blind, randomized, 2-phase crossover study, 10 healthy volunteers received either 200 mg itraconazole or placebo orally once a day for 4 days. On day 4, each subject ingested a dose of 16 mg methylprednisolone. Plasma concentrations of methylprednisolone, cortisol, itraconazole, and hydroxyitraconazole were determined by HPLC up to 24 hours.

RESULTS

Itraconazole increased the total area under the plasma methylprednisolone concentration-time curve 3.9-fold compared with placebo (1968 +/- 470 ng.hr/mL versus 520 +/- 125 ng.hr/mL [mean +/- SD]; P < .001). The peak plasma concentration of methylprednisolone was increased 1.9-fold (221 +/- 49 ng/mL versus 118 +/- 25 ng/mL; P < .001), and its elimination half-life was increased 2.4-fold (4.4 +/- 0.7 hours versus 1.9 +/- 0.3 hours; P < .001) by itraconazole. The mean plasma cortisol concentration during the itraconazole phase, measured 24 hours after ingestion of methylprednisolone, was only about 13% of that during the placebo phase (18 +/- 23 ng/mL versus 139 +/- 60 ng/mL; P < .001).

CONCLUSIONS

Itraconazole considerably increases plasma concentrations and effects of oral methylprednisolone, probably by inhibiting its CYP3A4-mediated metabolism. Care should be taken if itraconazole or other potent inhibitors of CYP3A4 are used concomitantly with oral methylprednisolone, particularly during long-term use.

Fluconazole but not itraconazole decreases the metabolism of losartan to E-3174

OBJECTIVE

Losartan is metabolised to its active metabolite E-3174 by CYP2C9 and CYP3A4 in vitro. Itraconazole is an inhibitor of CYP3A4, whereas fluconazole affects CYP2C9 more than CYP3A4. We wanted to study the possible interaction of these antimycotics with losartan in healthy volunteers.

METHODS

A randomised, double-blind, three-phase crossover study design was used. Eleven healthy volunteers ingested orally, once a day for 4 days, either itraconazole 200 mg, fluconazole (400 mg on day 1 and 200 mg on days 2-4) or placebo (control). On day 4, a single 50-mg oral dose of losartan was ingested. Plasma concentrations of losartan, E-3174, itraconazole, hydroxy-itraconazole and fluconazole were determined over 24 h. The blood pressure and heart rate were also recorded over 24 h.

RESULTS

The mean peak plasma concentration (Cmax) and area under the curve [AUC(0-infinity)] of E-3174 were significantly decreased by fluconazole to 30% and to 47% of their control values, respectively, and the t1/2 was increased to 167%. Fluconazole caused only a nonsignificant increase (23-41%) in the AUC and t1/2 of the unchanged losartan. Itraconazole had no significant effect on the pharmacokinetic variables of losartan or E-3174. The ratio AUC(0-infinity)(E-3174)/AUC(0-infinity)losartan was 60% smaller during the fluconazole than during the placebo and itraconazole phases. No clinically significant changes in the effects of losartan on blood pressure and heart rate were observed between fluconazole, itraconazole and placebo phases.

CONCLUSION

Fluconazole but not itraconazole interacts with losartan by inhibiting its metabolism to the active metabolite E-3174. This implicates that, in man, CYP2C9 is a major enzyme for the formation of E-3174 from losartan. The clinical significance of the fluconazole losartan interaction is unclear, but the possibility of a decreased therapeutic effect of losartan should be kept in mind.

Itraconazole increases plasma concentrations of quinidine

BACKGROUND

Quinidine is eliminated mainly by CYP3A4-mediated metabolism. Itraconazole interacts with some but not all of the substrates of CYP3A4; it is therefore important to study the possible interaction of itraconazole with quinidine.

METHODS

A double-blind, randomized, two-phase crossover study design was used with nine healthy volunteers. Itraconazole (200 mg) or placebo was ingested once a day for 4 days. A single 100 mg oral dose of quinidine sulfate was ingested on day 4. Plasma concentrations of quinidine, itraconazole, and hydroxyitraconazole, as well as cumulative excretion of quinidine into urine, were determined up to 24 hours. The ECG, heart rate, and blood pressure were also recorded up to 24 hours.

RESULTS

On average the peak plasma concentration of quinidine increased to 1.6-fold (p < 0.05), and the area under the concentration-time curve of quinidine increased to 2.4-fold (p < 0.01) by itraconazole. The elimination half-life of quinidine was prolonged 1.6-fold (p < 0.001), and the area under the 3-hydroxyquinidine/quinidine ratio-time curve decreased to one-fifth (p < 0.001) by itraconazole. The renal clearance of quinidine decreased 50% (p < 0.001) by itraconazole, whereas the creatinine clearance was unaffected. The QTc interval correlated with the concentrations of quinidine during both itraconazole and placebo phases (r2 = 0.71 and r2 = 0.79, respectively; p < 0.01), although only minor changes between the phases were observed in other pharmacodynamic variables.

CONCLUSIONS

Itraconazole increases plasma concentrations of oral quinidine, probably by inhibiting the CYP3A4 isozyme during the first-pass and elimination phases of quinidine. The decreased renal clearance of quinidine might be the result of the inhibition of P-glycoprotein-mediated tubular secretion of quinidine by itraconazole. The concentrations of quinidine should be closely monitored if itraconazole or some other potent CYP3A inhibitors are used with quinidine.