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A A Firsov

Publications and source records attributed to A A Firsov.

At least 37 records · Page 2Linked to original sources

Relationships between antimicrobial effect and area under the concentration-time curve as a basis for comparison of modes of antibiotic administration: meropenem bolus injections versus continuous infusions.

In comparative studies of different modes of administration (MAs) simulated in in vitro dynamic models, only one dose of antibiotic is usually mimicked. Such an experimental design can provide a prediction of the antimicrobial effect (AME) of a given combination of drug, clinical isolate, and infection site, but may be inappropriate for accurate comparison of MAs. An alternative design providing comparison of different MAs with various antibiotic doses in a wide range and with evaluation of the respective relationships between AME and the AUC was proposed and examined. Two series of meropenem pharmacokinetic profiles, i.e., monoexponentially decreasing concentrations (bolus doses) and constant concentrations (6-h continuous infusion), were in vitro simulated. The simulated initial concentrations (Co[from 0.62 to 48 micrograms/ml]) and steady-state concentrations (Css[from 0.016 to 8 micrograms/ml]) were chosen to provide similar AUC for 0 to 6 h (AUC0-6) ranges for both MAs (from 0.070 to 50.0 micrograms.h/ml and from 0.09 to 48.0 micrograms.h/ml, respectively). The AME of meropenem on Staphylococcus aureus ATCC 25923 (MIC, 0.06 micrograms/ml) was determined at each time (t) point as a difference (E) between the logarithms of viable counts (N) in the control cultures without antibiotic (NC) and in cultures exposed to antibiotics (NA). Time courses of E observed at different Co of Css levels were compared in terms of the areas under the E-t curves (ABBCt). The finite values of the ABBCt observed by the end of the 6 -h observation period, which are equivalent to the area between bacterial count-time curves observed in the absence and presence of antibiotic (ABBC), were plotted versus the respective AUCs produced by each of the MAs. The ABBC versus AUC curves had a similar pattern: a plateau achieved at high AUCs followed by a steep rise in ABBC at relatively low AUCs was inherent in both of the MAs. The superiority of bolus dosing over the infusions could be documented only for meropenem concentrations below the MIC. At higher Co or Css (i.e., at an AUC of > or = 0.4 micrograms.h/ml), the ABBC versus AUC curves plotted for each of the MAs could practically be superimposed. On the whole, both MAs appeared to be equiefficient in terms of the ABBC. These results suggest that AUC analysis of the AME may be a useful tool for comparing different MAs. Such comparative studies should be designed in a manner that provides the use of similar AUC ranges, since the AUC may be considered as a common pharmacokinetic denominator in comparing one MA or dosing regimen to another.

Area Under Curve↗

Parameters of bacterial killing and regrowth kinetics and antimicrobial effect examined in terms of area under the concentration-time curve relationships: action of ciprofloxacin against Escherichia coli in an in vitro dynamic model.

Although many parameters have been described to quantitate the killing and regrowth of bacteria, substantial shortcomings are inherent in most of them, such as low sensitivity to pharmacokinetic determinants of the antimicrobial effect, an inability to predict a total effect, insufficient robustness, and uncertain interrelations between the parameters that prevent an ultimate determination of the effect. To examine different parameters, the kinetics of killing and regrowth of Escherichia coli (MIC, 0.013 microg/ml) were studied in vitro by simulating a series of ciprofloxacin monoexponential pharmacokinetic profiles. Initial ciprofloxacin concentrations varied from 0.02 to 19.2 microg/ml, whereas the half-life of 4 h was the same in all experiments. The following parameters were calculated and estimated: the time to reduce the initial inoculum (N0) 10-, 100-, and 1,000-fold (T90%, T99%, and T99.9%, respectively), the rate constant of bacterial elimination (k(elb)), the nadir level (Nmin) in the viable count (N)-versus-time (t) curve, the time to reach Nmin (t(min)), the numbers of bacteria that survived (Ntau) by the end of the observation period (tau), the area under the bacterial killing and regrowth curve (log N(A)-t curve) from the zero point (time zero) to tau (AUBC), the area above this curve (AAC), the area between the control growth curve (log N(C)-t curve) and the bacterial killing and regrowth curve (log N(A)-t curve) from the zero point to tau (ABBC) or to the time point when log N(A) reaches the maximal values observed in the log N(C)-t curve (I(E); intensity of the effect), and the time shift between the control growth and regrowth curves (T(E); duration of the effect). Being highly sensitive to the AUC, I(E), and T(E) showed the most regular AUC relationships: the effect expressed by I(E) or T(E) increased systematically when the AUC or initial concentration of ciprofloxacin rose. Other parameters, especially T90%, T99%, T99.9%, t(min), and log N0 - log Nmin = delta log Nmin, related to the AUC less regularly and were poorly sensitive to the AUC. T(E) proved to be the best predictor and t(min) proved to be the worst predictor of the total antimicrobial effect reflected by I(E). Distinct feedback relationships between the effect determination and the experimental design were demonstrated. It was shown that unjustified shortening of the observation period, i.e., cutting off the log N(A)-t curves, may lead to the degeneration of the AUC-response relationships, as expressed by log N0 - log Ntau = delta log Ntau, AUBC, AAC, or ABBC, to a point where it gives rise to the false idea of an AUC- or concentration-independent effect. Thus, use of I(E) and T(E) provides the most unbiased, robust, and comprehensive means of determining the antimicrobial effect.

Anti-Infective Agents↗

Predictors of effect of ampicillin-sulbactam against TEM-1 beta-lactamase-producing Escherichia coli in an in vitro dynamic model: enzyme activity versus MIC.

The clinical outcome in patients treated with ampicillin-sulbactam may not always be predictable by disc susceptibility testing or with the MIC as determined with a constant level (4 micrograms/ml) of the beta-lactamase inhibitor (MIC1). The enzyme activities (EA) and the MICs estimated at a constant ratio of ampicillin to sulbactam of 2:1 (MIC2) for 15 TEM-1 beta-lactamase-producing strains of Escherichia coli were examined as alternatives to MIC1 as predictors of the antibacterial effects of this combined drug as studied in an in vitro model which simulates ampicillin-sulbactam pharmacokinetic profiles observed in human peripheral tissues. Integral parameters describing the area under the bacterial count-time curve (AUBC), the area between the normal growth curve, and the killing curve of bacteria exposed to antibiotic (ABBC), and the second parameter expressed as a percentage of its maximal hypothetical value (ABBC/ABBCmax) were calculated. All three parameters correlated well with EA (AUBC, r = 0.93; ABBC, r = -0.88; ABBC/ABBCmax, r = -0.91) and with MIC2 (r = 0.94, -0.94, and -0.95, respectively) but not with MIC1. Both EA and MIC2 can be considered reliable predictors of the antibacterial effect of ampicillin-sulbactam in an in vitro model. These correlations suggest that in vitro kinetic-dynamic models might be useful to reexamine established susceptibility breakpoints obtained with data based on the MIC1 (MICs obtained with constant levels of beta-lactamase inhibitors). These data also suggest that quantitative determinations of bacterial beta-lactamase production and MICs based on the component concentration ratio observed in vivo might be useful predictors of the effect of ampicillin-sulbactam and other beta-lactam-inhibitor combinations.

Ampicillin↗

[Correlation between pharmacokinetic parameters of rifampicin and its biologically active metabolite as related to estimation of the relative bioavailability of the antibiotic].

In the bioavailability studies with drugs biotransformed to biologically active metabolities only the concentrations of the parent drug (PD) are usually taken into account even when the pharmacokinetic data on the metabolite(s) (M) are available. However, such data may be useful as an alternative source for the bioavailability determination. Moreover, the clinical outcomes often depend on both the PD and M concentrations. The aim of the study performed with two rifampicin formulations, tablets and dragee, was to correlate the pharmacokinetic parameters of the PD and 25-O-deacetylrifampicin, a microbiologically active M of rifampicin, and to examine whether the bioavailability parameters based on the PD and M concentrations were compatible. The serum concentrations of the PD and M were determined in 8 healthy volunteers by HPLC. Despite different patterns of the PD and M pharmacokinetic profiles the PD peak concentration (Cmax) and especially the AUC correlated with Cmax or the AUC of the M (r = 0.76 and 0.92 respectively). Moreover, the extent of the absorption expressed as the AUC ratio for the PD correlated with the AUC ratio for the M (r = 0.86). However, neither the time to reach the maximum (tmax), nor the Cmax/AUC ratio, a measure of the absorption rate, based on the PD pharmacokinetic data correlated with the respective parameters calculated with using the M concentrations. Thus, only the estimates of the extent of the absorption and not of the absorption rate based on the PD and M data may be considered as compatible.

Antibiotics, Antitubercular↗

[Determination of bifonazole using HPLC in pharmacokinetic studies].

A sensitive method for HPLC quantification of bifonazole, an antimycotic drug, in the skin and plasma was developed. The skin samples were homogenized with the use of a physiological solution (1:5) and then centrifuged at 2000 r.p.m. for 20 minutes. Bifonazole was extracted from the homogenates or plasma with methylene chloride. The organic phase was evaporated to dryness under nitrogen at 45 degrees C, the residue was redissolved in methanol and an aliquot of 0.03 ml was injected to the HPLC system for determination of the drug content. A Silasorb C column (30 cm x 4.6 mm, 10 microns) was used. The mobile phase consisted of acetonitrile, 0.12 M sodium acetate and methanol (84:15:1). The flow rate was 1.5 ml/min. The UV absorption was monitored at lambda 254 nm. The calibration plots were linear within the concentration ranges of 1 to 20 micrograms/g. The determination limit was 0.02 microgram/g. The bifonazole pharmacokinetics was studied with the developed method on rats after a single application of 1 per cent drug cream to the skin. The cream was manufactured by two different companies (formulations A and B). The skin and blood samples were collected 0.5, 1, 2, 6, 24 and 48 hours after the bifonazole cream application in a dose of 1 g/kg. The plasma levels of bifonazole were below the detection limit of the method throughout the observation period whereas the skin concentrations could be measured within 0.5-48 hours. Despite the faster skin penetration of bifonazole applied as formulation A the relative extent of the penetration was close to 1 (0.95) and the mean residence times were similar (14.9 and 14.5 hours for formulations A and B respectively). The developed analytical procedure is useful in pharmacokinetic studies with bifonazole.

Animals↗

[Clinical pharmacokinetics of fluorazole].

The ftorazole pharmacokinetics was studied in 14 patients after the oral administration of 40 and 80 mg as a single dose. The ftorazole concentrations in the serum specimens sampled within 8 hours were determined by GLC with an electron-capture detector. A pronounced variability was inherent in the individual concentration-time profiles: the mean values of the serum peak concentrations (Cmax) following the 40 and 80 mg dosing were 30-119 and 55-195 ng/ml respectively. Nonetheless, a dose-proportional increasing of the areas under the concentration-time curve (AUC) was observed. The mean values (SD) of the AUC related to the dose, absorption lag-time, time for reaching Cmax, the Cmax/AUC ratio as an index of the absorption rate, the elimination half-life and mean residence time were 6.64 (2.98) (ng.h/ml), 0.31 (0.17) h, 1.17 (0.55) h, 0.26 (0.05) h-1, 2.40 (0.70) h and 3.06 (0.28) h respectively. The data obtained are indicative of the ftorazole pharmacokinetics linearity in humans.

Adolescent↗

[Age-related characteristics of ceftazidime pharmacokinetics in children].

To reveal possible age-dependent variations in the ceftazidime pharmacokinetics, the drug plasma concentrations were determined by HPLC in 10 children aged 2 to 13 years with peritonitis. The blood specimens were collected 0.25, 0.5, 1, 3, 6 and 8 hours after intravenous bolus administration of ceftazidime (Kefadym, Eli Lilly) in a single dose of 20 mg/kg. The mean values of the model-independent parameters were: total clearance (Cl), 3.3 +/- 0.8 ml/min.kg; steady-state distribution volume, 0.32 +/- 0.06 ml/kg; mean residence time, 1.7 +/- 0.4 hours. The C-coordinate of the gravity center was equal to 26 +/- 7 mg/l. A noticeable age-dependent decrease in Cl was detected by comparing the Cl estimates in our study for the children aged 7.0 +/- 3.0 years with earlier findings in children aged 12 years as well as in adults (18 and 26 years) and elderly patients (77 years): 2.5, 2.2, 2.0 and 1.1 ml/min.kg, respectively. A similar trend was observed for the ceftazidime volume of distribution (Varea). Due to the described reduction in Cl and Varea the age-induced changes in the half-life of ceftazidime were negligible. The age-dependent differences in ceftazidime pharmacokinetics should be taken into account in designing rational dosage regimens for the drug administration.

Adolescent↗

[A pharmacokinetic basis for schedules for administering amikacin to newborn infants].

The use of correlations between the pharmacokinetic parameters and the patient's factors is one of the most promising trends in the elaboration of the efficient regimens of dosage. To establish the analogous correlations in terms of specifying the causes of the widely known individual variability of serum aminoglycoside concentrations in 139 neonates given amikacin for suggested or documented infections, a study was made of the drug pharmacokinetics.

Aging↗

[Microcalorimetric study of the kinetics of the antibacterial effect of third generation cephalosporins in an in vitro dynamic system].

The antimicrobial effect (AME) kinetics of cefotaxime and ceftizoxime was studied with respect to 4 bacterial strains (E. coli, S. aureus, K. pneumoniae and P. aeruginosa) in an in vitro dynamic model. The mean integral concentrations, i.e. the AUC values divided by the dosing interval observed in blood of humans after the drug single intravenous administration in doses of 0.25, 0.5, 1 2 and 4 g. were simulated. The simulated concentrations of cefotaxime and ceftizoxime were 6.25 and 6.75, 12.5 and 13.5, 25 and 27, 50 and 54 and 100 and 108 mg/kg, respectively accounting for the differences in their pharmacokinetics. The changes in the microbial count were recorded microcalorimetrically by the rate of heat output with the BioActivity Monitor LKB 2277-202. The AME was expressed by TE reflecting the shift of the microbial growth curve in the presence of the cephalosporins against the control growth curve (in the absence of the drugs). It was noted that in simulating the concentrations observed after the drugs administration in various doses cefotaxime was mainly superior to ceftizoxime in terms of the TE, the value of the TE correlating with the respective values of the MICs. Some discrepancies between the TE and MICs were explained by the complicated shape of the TE vs. concentration or AUC curve observed earlier in regard to cefotaxime as well as by the differences in the steady state and dynamic conditions of the experiment.

Calorimetry↗

[Pharmacokinetic monitoring during aminoglycosides: optimal therapy method of individual amikacin dosing].

One of the most successful approaches to adjustment of dosage regimens on the basis of single determinations of drug contents in blood specimens provides the blood sampling at the "ideal" moment (t*), i. e. at the time equal to the inverse value of the elimination rate constant. The above version of the one-point method is applicable to drugs obeying the one-compartment model. In practice, however, it is never known a priori whether the individual pharmacokinetic profile (PKP) is monoexponential or not. An attempt was made to apply the one-point method to individual amikacin (Am) intravenous bolus dosing in 27 patients with PKPs described not only by mono- but also by biexponential equations. The individual doses (Dc) estimated on the basis of Am concentrations recorded at the "ideal", point (2.75 hours after the administration) by the equation Dc = Dp.Cp(t*)/Ci(t*) were compared to the doses (DCl) found on the basis of greater than or equal to 4 determinations of the Am concentration (within 0.5 to 6 hours after the administration), i. e. by the equation DCl = Dp.Cli/Clp, where: Dp is the population value of an Am dose (7.5 mg/kg); Cp (t*) is the population value of an Am concentration at t* (6.7 mg/l), Clp is that of the total clearance [81.2 ml/(h.kg)] and Ci (t*) and Cli are the individual values of an Am concentration and clearance, respectively. The correlation coefficient of the DCl vs. Dc estimates was equal to 0.87. In 17 patients with monoexponential PKPs it was higher (r = 0.99).(ABSTRACT TRUNCATED AT 250 WORDS)

Amikacin↗

[Pharmacokinetic monitoring of aminoglycoside therapy: an optimal method of administration of individualized doses of gentamicin and sisomicin].

One of the most promising approaches to design the optimal schedule for TDM provides a single determination of a drug content in the blood specimen being collected at the "ideal" sampling time equaled to the inverse value of the elimination rate constant. Three versions of the one-point method when the specimen was collected at the "ideal" time point (3 h after a single i.m. drug administration), as well as at the times of "maximum" (1 h after injection) and "minimum" (6 h after injection) concentrations were compared by the retrospective analysis of the routine TDM data obtained with HPLC-techniques in 47 patients treated with gentamicin or sisomicin. As optimal individualized doses were considered ones calculated on the base of three subsequent determinations of the aminoglycoside concentrations, i.e. 1, 3 and 6 h after injection, and the estimation of individual clearance values (Cli). The optimal doses (DCl) were calculated according to equation DCl = Dp.Cli/Clp, where Dp and Clp are population values of the dose (1 mg/kg) and Cl 72.4 ml/(h.kg), respectively. The approximate values of the individual doses (D) were calculated according to equation D = Dp.Cp/Ci, where Ci is the individual drug serum concentration 1, 3 or 6 h after administration and Cp is the corresponded population value (4.8, 1.9 and 0.8 mg/l, respectively).(ABSTRACT TRUNCATED AT 250 WORDS)

Biological Availability↗

Age dependence of erythromycin rectal bioavailability in children.

Erythromycin pharmacokinetics was studied in neonates (less than 1 month), infants (1-12 months) and other children (1-12 years) after the drug rectal and intravenous administration. The areas under the erythromycin serum concentration-time curves (AUC) were practically independent on children's age following the intravenous drug administration, but not its rectal administration. There was a distinct age dependency of the AUC parameter in the latter case. The increase of children's age was resulted in enhancement of the erythromycin total clearance, reduction of the steady-state volume of distribution and of the mean residence time. The extent of absolute bioavailability of rectally administered erythromycin was increased from 28 per cent in neonates to 36 per cent in infants and to 54 per cent in children greater than 1 year. Alteration of the mean absorption time parameter was reflected the delayed absorption of erythromycin in neonates.

Administration, Rectal↗

Correlations between aminoglycoside pharmacokinetic parameters and patient's factors: from statement to implication for individual dosage design.

Amikacin pharmacokinetics was studied in 20 critically ill patients after a single i.v. bolus dose (500 mg). The amikacin pharmacokinetic profiles were characterized by marked intra-individual variability. Stepwise multivariate regression analysis made it possible to establish statistically significant correlations between the amikacin total clearance (Cl) and 8 patient's factors such as the, age, sodium plasma content, plasma osmolarity, partial pressure of oxygen and carbon dioxide, volumes of transfused plasma and blood, application of artificial lung ventilation (r2 = 0.98). The multiple regression equation for the Cl prediction provides reliable indirect estimation of the parameter. Thus, it appears possible to adjust the aminoglycoside dosage by taking into account 8 patient's factors, until the amikacin plasma concentration, time data are available.

Adult↗

In vitro simulated pharmacokinetics profiles: forecasting antibiotic optimal dosage.

Sisomicin (SMN) and cefotaxime (CTX) antimicrobial effect (AME) kinetics were studied under in vitro stimulation the drug monoexponential pharmacokinetic profiles mimicking normal and impaired elimination of SMN or CTX administered in various doses to humans. Similar general shape of the AME intensity or duration vs the SMN and CTX AUC curves, i.e. the appearance of the "bacteriostatic" and "bactericidal" phases, was established irrespective of the antibiotic elimination rate. At the same time the AME vs AUC curves simulated normal and delayed drug elimination did not match. Thus, AME is defined not only the AUC value but also the peculiarities of the pharmacokinetic profile and, subsequently, the term of "antibiotic efficient concentration" is unseparable of the pharmacokinetic profile.

Anti-Bacterial Agents↗

[Pharmacokinetics of protegentin, a combined preparation].

Protegentin is a combined preparation in the form of ointment containing 0.1 per cent of gentamicin, 0.25 per cent of erythromycin and 0.1 per cent of protease C. Pharmacokinetic studies on the preparation were conducted. Protegentin and gentamicin ointment, currently manufactured in this country, were applied to the surface of experimental pure cutaneous wounds in guinea pigs in a dose of 1 g. It was shown that inspite of the same contents of gentamicin in the ointments, the mean maximum concentration of the antibiotic in the underlying muscular tissue after the protegentin application was somewhat higher than that after the use of the gentamicin ointment. The differences in the drug concentration maintained during the whole observation period of 24 hours. However, they were not statistically significant. The gentamicin concentrations in serum after the use of protegentin were also somewhat higher than those after application of the gentamicin ointment (the differences were not statistically significant). Still, in no case the concentrations reached the potentially toxic ones. The erythromycin concentrations in the muscular tissue were much higher than those in the blood.

Animals↗

[Erythromycin pharmacokinetics in children after rectal and oral administration].

Pharmacokinetics of erythromycin base was studied clinically in children not older than 14 years treated with new children dosage forms of the antibiotic i. e. 0.1 and 0.25 g enteric coated tablets and 0.06 and 0.125 g suppositories. It was noted that the new dosage forms were characterized by higher availability which was 2.5-3 times higher than that after using the erythromycin base tablets without the coating. Systematic increasing of erythromycin availability after the use of the rectal suppositories was observed with increasing of the children age. Absolute absorption in newborns, sucklings and children over 1 year amounted to 28, 36 and 54 per cent respectively.

Administration, Oral↗

Quantitative analysis of antimicrobial effect kinetics in an in vitro dynamic model.

Variants of the available methods for estimating antimicrobial effect kinetics in an in vitro dynamic model were analyzed. Two integral parameters characterizing antimicrobial effect duration (TE) and intensity (IE) are suggested to define and analyze the concentration-effect relationships in these models, irrespective of the method of recording. TE is defined by the time from the moment of antibiotic administration to the movement when the bacterial count again reaches its initial level. IE is defined by the area between the microbial growth curves in the presence and absence of an antibiotic. TE and IE were used to quantify the antimicrobial effects of sisomicin on Pseudomonas aeruginosa 58, Escherichia coli 93, and Klebsiella pneumoniae 5056, simulating the pharmacokinetic profiles of the drugs observed following intramuscular administration in therapeutic doses, including the variability of aminoglycoside concentrations in human blood.

Anti-Bacterial Agents↗

[Individualization of the amikacin administration regimen on the basis of the relationship between its pharmacokinetics and the patient's status].

Dosage individualization based on quantitative relationships between pharmacokinetic parameters and anatomophysiological and/or pathological factors, patient's factors (PFs) is of importance in designing optimal regimens. Unfortunately, the attempts to correlate aminoglycoside pharmacokinetic parameters and PFs often failed perhaps due to insufficient numbers of PFs under investigation. That is why we sought to involve more PFs, especially nontraditional ones, for explaining intersubject variability of the amikacin model-independent parameter in 20 patients with purulent inflammatory processes. Amikacin plasma concentrations in specimens collected 0.5, 1, 2, 4, 5 and 6 hours after the drug administration (500 mg, i.v.) were determined with the FRIA-technique (TDx, Abbott). The mean values of the total clearance (Cl), steady-state volume of distribution (Vss) and the mean residence time (MRT) were 87.5 +/- 18.4 ml/(h.kg), 0.33 +/- 0.07 l/kg and 4.0 +/- 0.6 h, respectively. Stepwise multivariate regression analysis made it possible to establish statistically significant correlations between the Cl and 8 PFs, including age, sodium plasma concentrations, plasma osmolarity, partial pressure of oxygen and carbon dioxide, volumes of transfused plasma and blood and artificial pulmonary ventilation (r = 0.99), as well as between the MRT and 6 PFs, including sex, plasma osmolarity, plasma creatinine concentrations, volumes of transfused plasma and artificial pulmonary ventilation (r = 0.94). Multiple correlations were also found between the area under the drug concentration/time curve and 11 PFs (r = 0.99). The coefficient of the multiple correlation between the Vss and volume of the transfused plasma proved to be much lower (r = 0.67). The multiple regression equation for the Cl prediction provided a reliable indirect estimation of the parameter individual values without the amikacin concentration data. Thus, it appeared possible to adjust the aminoglycoside dosage by taking into account 8 PFs before the TDM data were available.

Adult↗