Biomedical subjects

A Forrest

Publications and source records attributed to A Forrest.

At least 37 records · Page 2Linked to original sources

PubMed1999

The population pharmacokinetics of amphotericin B colloidal dispersion in patients receiving bone marrow transplants.

The purpose of this study was to identify the pharmacokinetics of Amphotericin B Colloidal Dispersion in patients undergoing bone marrow transplantations with systemic fungal infections and to assess the influence of ABCD on renal function. Seventy-five patients (42 females, 33 males) with a median age of 34.5 years and median weight of 70.0 kg were enrolled in the study. The plasma concentration data was available in 51/75 patients and was best described by a two-compartment model; both plasma clearance and volume of distribution increased with escalating doses; the overall average terminal elimination half-life was 29 h. Serum creatinine values over the duration of therapy were available in 59/75 patients. Overall, there was no net change in renal function over the duration of therapy.

Adolescent↗

PubMed1999

The pharmacodynamics of sumatriptan in nitroglycerin-induced headache.

Migraine is a common disorder that causes significant morbidity in those afflicted. Many novel antimigraine compounds are in clinical development, yet full characterization of each one's pharmacodynamic behavior is a formidable task due to the difficulty in studying a migraineur during an attack. Nitroglycerin (NTG) administration commonly causes a headache with some features similar to those of a migraine. As such, NTG has been used as a model of vascular headaches, including migraine. The pharmacodynamic effects of nitroglycerin and sumatriptan on middle cerebral artery blood flow velocity (MCAv) and headache scores were studied in 10 healthy male volunteers. An intravenous infusion of NTG titrated to 0.5 mcg/kg/min over 30 minutes resulted in a median reduction from baseline in MCAv of 27% (range: 16.4%-37.3%). Nine of the subjects developed a headache with a median verbal score of 3.5 of 10 (range: 0-5). Subjects received sumatriptan either 2 mg intravenously or 6 mg subcutaneously, which abated clinical headache in 9 of the 10 subjects (p = 0.030). A median sumatriptan-induced increase in MCAv of 21% (p = 0.054) suggested a constricting effect on the NTG-induced dilated MCA. A two-compartment pharmacokinetic/indirect-effects pharmacodynamic model was fit to the sumatriptan concentration and MCAv data using iterative two-stage analysis. This model was unbiased and fit the concentration (r2 = 0.98) and the MCAv (r2 = 0.79) data well. These results suggest that NTG-induced headache and the development of pharmacokinetic/pharmacodynamic models could serve as a useful method for exploring the mechanisms of abortive migraine drugs.

Adult↗

PubMed1999

Relationship of dose intensity to the induction of palmar-plantar erythrodysesthia by pegylated liposomal doxorubicin in dogs.

The multiple dose pharmacokinetics of pegylated liposomal doxorubicin (PL-DOX), known as DOXIL (US) and CAELYX (EU), was characterized in dogs and a pharmacokinetic/pharmacodynamic model to identify a relationship between drug exposure and the probability of observing treatment-related palmar-plantar erythrodysesthesia (PPE) was developed. Twenty dogs were assigned to PL-DOX groups (2/sex/ group) that received intravenous PL-DOX doses of 0.5 mg/kg ql, 2, or 4 weeks; 1.0 mg/kg q2weeks; or 1.5 mg/kg q4weeks for 12 weeks. Blood was collected for HPLC analysis of doxorubicin concentration pre-dose and periodically up to 120 h after dosing three times during treatment. Plasma drug concentration was modeled using iterative 2-stage analysis. Dermal lesions (PPE) were scored twice weekly for six regions of each dog using a 0-6 severity scale; maximum severity was 36. PPE score data were modeled using an approach in which the % probability of PPE was related to a hypothetical effect site by a series of Hill-type functions. Pharmacokinetics were best modeled as a one-compartment open model. Vss (ml/kg), CLt (ml/hr/kg) and half-life (h) were 44.1, 1.39 and 23.1, respectively. Cmax increased linearly with dose. CLt decreased with repeated doses. 5 A two-compartment pharmacodynamic model, which correctly predicted 97% of the observed lesion severity, was developed to establish the relationship of lesion severity to dose intensity (a measure of drug exposure incorporating the effect of both dose level and dosing frequency, which can be expressed in units of mg/kg/week). The model demonstrated that maximal PPE was positively correlated with dose intensity, the major factor that affects the incidence and severity of dermal lesions. 6 The model can be used to predict acceptable dose intensities in humans utilizing body surface area conversion factors and comparative AUCs for dogs and humans. It predicts that a dose intensity of 10-12.5 mg/m2 of PL-DOX will be well tolerated in patients. The results of recent clinical studies are consistent with this prediction.

Animals↗

PubMed1999

Patterns of prescribing ACE inhibitors after myocardial infarction.

We attempted to determine physician prescribing patterns of angiotensin-converting enzyme (ACE) inhibitors in patients who experienced a myocardial infarction, stratified by left ventricular function. We retrospectively reviewed drug therapy at discharge in 534 patients to assess prescription of ACE inhibitor therapy, including dosage. Thirty-four percent of patients were discharged taking an ACE inhibitor, of whom only 11% received recommended dosages. The drugs were prescribed more often for patients who had an ejection fraction below 40% than for those with an ejection fraction of 40% or above (54% vs 28%, p<0.05). We conclude that ACE inhibitors are underprescribed for patients who experienced a myocardial infarction, illustrating the gap between clinical research and clinical practice, and the need for programs to ensure optimal medical management.

Aged↗

PubMed1998

Impact of angiotensin-converting enzyme inhibitor underdosing on rehospitalization rates in congestive heart failure.

In a retrospective, cohort design, clinical usage of digoxin, diuretic, and angiotensin-converting enzyme (ACE) inhibitor was assessed in all patients readmitted over a 36-month period for congestive heart failure (CHF) diagnostic-related group (DRG) 127. ACE inhibitor dose-response analysis used the discharge dose of ACE inhibitor, converted to enalapril-equivalent doses and adjusted for renal function. Principal end points were time-to-readmission and 90-day readmission rate. Of 314 total patients, digoxin was used in 72%, diuretic in 86%, and 67% received an ACE inhibitor. Only 22% of those on an ACE inhibitor received currently recommended doses of enalapril > or = 20 mg/day or equivalent, whereas 41% received enalapril < or = 5 mg/day. Time-to-readmission was increased by an ACE inhibitor (p = 0.002) but not digoxin or diuretic. An ACE inhibitor was the principal covariate of 90-day readmission rate (p <0.05). The readmission rate was not reduced with daily ACE inhibitor doses of < or = 5 mg enalapril, whereas daily doses of > or = 10 mg enalapril reduced 90-day readmission rates by 28% compared to those receiving diuretic or digoxin therapy (p <0.05). Using a dynamic model, the dose required to achieve 90% to 95% of the theoretical maximum ACE inhibitor effect exceeded 100 mg enalapril daily. Thus, CHF readmission rates are lower when daily ACE inhibitor doses exceed 5 mg enalapril or the equivalent daily, but are unaffected by digoxin or diuretic. Modeled maximum ACE inhibitor benefits require doses 8- to 10-fold higher than current usage patterns.

Aged↗

PubMed1998

Vasoreactivity in pre- and postmenopausal women: evaluation by pharmacodynamic modeling.

Postmenopausal women experience an increase in cardiovascular mortality and morbidity compared with their premenopausal counterparts. This study was undertaken to develop a pharmacodynamic model to determine whether vascular reactivity in postmenopausal women differed from that in premenopausal women. Eleven subjects in each group were recruited. Graded doses of norepinephrine and insulin were infused via the dorsal hand vein. Venous diameter was measured by ultrasound. Dosage and venous diameter were fit to a Hill-type pharmacodynamic model in which norepinephrine acts as a vasoconstrictor and insulin counteracts varying fractions of norepinephrine constriction. Fitted pharmacodynamic parameters for norepinephrine did not differ uniformly between groups, but at norepinephrine infusion rates between 14 and 46 ng/mL, postmenopausal women demonstrated increased norepinephrine-induced vasoconstriction. Also, the modeled maximal response to insulin (Emaxi) was greater in premenopausal women. By stepwise linear regression, maximal response to insulin was found to be related to menopausal status and diastolic blood pressure. Postmenopausal women showed differences in vasoreactivity that may have important implications in the pathogenesis of hypertension.

Aged↗

PubMed1998

Eprosartan does not affect the pharmacodynamics of warfarin.

Eprosartan is an angiotensin II receptor antagonist being developed for the treatment of hypertension and heart failure. The effect of eprosartan on the steady-state anticoagulant activity of warfarin was evaluated in 18 healthy male volunteers. Each subject's daily warfarin dose was titrated over 9 days to achieve a stable international normalized ratio (INR) of 1.3 to 1.6 by day 14. After the 14-day warfarin titration phase, subjects were randomized to receive either eprosartan 300 mg or matching placebo twice a day for 7 days. All subjects continued to take the warfarin dose established during the 14-day titration phase. The anticoagulant activity of warfarin was statistically equivalent when coadministered with eprosartan or with placebo. No serious or unexpected adverse events suggestive of abnormal bleeding occurred during coadministration of eprosartan and warfarin. As measured by the INR, there is no apparent effect of eprosartan on the anticoagulant effect of warfarin.

Acrylates↗

PubMed1998

Pharmacokinetic modeling of recombinant interleukin-2 in patients with human immunodeficiency virus infection.

A novel model was developed to characterize the time-varying clearance of recombinant interleukin-2 (IL-2). Sixty-eight patients with human immunodeficiency virus infection received 83 cycles of IL-2 either by continuous infusion or by subcutaneous injection for 5 days. IL-2 concentrations after intravenous infusions peaked at 24 hours and then declined by 55% to 78% during the remainder of the infusion. Soluble IL-2 receptors increased greater than 10-fold before gradually returning to baseline. Subcutaneous administration showed a dose-dependent decrease in area under the concentration-time curve (AUC) between days 1 and 5. A model was developed in 9 patients who had IL-2 concentrations and soluble IL-2 receptors determined by ELISA. Concentrations were fitted by an indirect stimulatory pharmacodynamic model. An additional 59 patients with only IL-2 concentrations were fitted to a simplified empiric model. Both models provided an overall r2 of 0.99 for the plot of observed versus fitted concentrations. The time-dependent increase in IL-2 clearance, likely receptor-mediated, was well described with use of an indirect-effects pharmacokinetic-pharmacodynamic model.

Adult↗

PubMed1998

Pharmacodynamic interactions of antibiotics alone and in combination.

Clinical trials show that the area under the inhibitory curve (AUIC) is predictive of antibacterial killing rates in patients with nosocomial pneumonia and is useful for predicting clinical or microbiological outcomes and making dosage adjustments with beta-lactams, quinolones, aminoglycosides, and vancomycin. The AUIC values of two antibiotics are additive, and since antibiotics are often given in combination, determining the AUIC for antibiotic combinations could potentially predict the microbiological outcomes for patients given these combinations. To further address this question, mathematical modeling was used to study in vitro pharmacokinetic and pharmacodynamic interactions of the antimicrobials piperacillin and ciprofloxacin. These agents were also studied in vivo in healthy volunteers. Blood samples were obtained for analysis of serum drug concentrations, and serum inhibitory titers were determined against eight common bacterial pathogens, chosen to reflect the range of MIC values to ciprofloxacin and piperacillin. Additive AUIC relationships predictive of bacterial killing rates were typical in patients given these antibiotics in combination.

Anti-Bacterial Agents↗

PubMed1998

Pharmacodynamic evaluation of factors associated with the development of bacterial resistance in acutely ill patients during therapy.

The selection of bacterial resistance was examined in relationship to antibiotic pharmacokinetics (PK) and organism MICs in the patients from four nosocomial lower respiratory tract infection clinical trials. The evaluable database included 107 acutely ill patients, 128 pathogens, and five antimicrobial regimens. Antimicrobial pharmacokinetics were characterized by using serum concentrations, and culture and sensitivity tests were performed daily on tracheal aspirates to examine resistance. Pharmacodynamic (PD) models were developed to identify factors associated with the probability of developing bacterial resistance. Overall, in 32 of 128 (25%) initially susceptible cases resistance developed during therapy. An initial univariate screen and a classification and regression tree analysis identified the ratio of the area under the concentration-time curve from 0 to 24 h to the MIC (AUC[0-24]/MIC) as a significant predictor of the development of resistance (P < 0.001). The final PK/PD model, a variant of the Hill equation, demonstrated that the probability of developing resistance during therapy increased significantly when antimicrobial exposure was at an AUC[0-24]/MIC ratio of less than 100. This relationship was observed across all treatments and within all organism groupings, with the exception of beta-lactamase-producing gram-negative organisms (consistent with type I beta-lactamase producers) treated with beta-lactam monotherapy. Combination therapy resulted in much lower rates of resistance than monotherapy, probably because all of the combination regimens examined had an AUC[0-24]/MIC ratio in excess of 100. In summary, the selection of antimicrobial resistance appears to be strongly associated with suboptimal antimicrobial exposure, defined as an AUC[0-24]MIC ratio of less than 100.

Acute Disease↗

PubMed1998

Pharmacodynamic interactions of ciprofloxacin, piperacillin, and piperacillin/tazobactam in healthy volunteers.

Mathematical modeling methods were used to study pharmacokinetic and pharmacodynamic interactions of the antimicrobial combinations piperacillin plus ciprofloxacin and piperacillin plus tazobactam. Twelve healthy volunteers received the following treatments: piperacillin (4 g), ciprofloxacin (400 mg), piperacillin (4 g) plus ciprofloxacin (400 mg), and piperacillin (4 g) plus tazobactam (0.5 g), via intravenous infusion in a four-period crossover design. Serum drug concentrations were analyzed by means of high-performance liquid chromatography (HPLC), and inhibitory titers were performed against eight organisms. The pharmacodynamic response (growth or no growth) was modeled for each of the monotherapy courses using a Hill-type model where Emax was 1 (100% probability of no growth [P(NG)]), and EC50 was the concentration associated with a 50% P(NG). For piperacillin plus ciprofloxacin, P(NG) was a function of 1) plasma concentrations for both drugs; 2) EC50 values from the monotherapy courses; and 3) theta, an interaction term that accommodates synergy, additivity, or antagonism. For piperacillin/tazobactam, the serum ultrafiltrate area under the inhibitory curve was compared with that of piperacillin alone to determine the benefit of tazobactam. The interaction between piperacillin and ciprofloxacin was additive. The addition of tazobactam to piperacillin was beneficial against certain organisms. The model developed can be used to evaluate the activity of combination regimens against representative pathogens.

Adolescent↗

PubMed1997

Pharmacokinetics and pharmacodynamics of midazolam after intranasal administration.

This study aimed to characterize the pharmacokinetics and pharmacodynamics of midazolam after intranasal administration to healthy volunteers. Eight participants were given 0.25 mg/kg intranasally and 2 mg intravenously in a randomized, crossover fashion. Blood samples for determination of plasma concentrations of midazolam and measures of cognitive function (using the digit symbol substitution test) were obtained at baseline and 5, 10, 20, 30, 45, 60, 90, 120, 180, 240, and 360 minutes after administration of study medications. Plasma samples were analyzed by gas chromatography (% coefficient of variation < 10%). Pharmacokinetic data were fitted using iterative two-stage analysis to a two-compartment model. Pharmacodynamic data were fitted by a baseline subtraction Hill-type model. The mean (SD) for total clearance, distributional clearance, volume of distribution in the central compartment, volume of distribution in the peripheral compartment, absorption rate constant, bioavailability, and half-life were 0.57 (0.26) L/hr/kg, 0.31 (0.29) L/hr/kg, 0.27 (0.14) L/kg, 0.67 (0.11) L/kg, 2.46 (1.72) hr-1, 50% (13%), and 3.1 (0.84) hours, respectively. The mean (SD) for the concentration at which the effect is half maximal (EC50) and the maximal effect or the maximal change in effect measure from baseline (Emax) were 63.1 (21.2) ng/mL and 52.8 (21.1) correct substitutions, respectively. After intranasal administration, midazolam concentrations rapidly achieve values considered sufficient to induce conscious sedation and produce predictable changes in digit symbol substitution score.

Administration, Intranasal↗

PubMed1997

Population pharmacokinetics and pharmacodynamics of pegylated-liposomal doxorubicin in patients with AIDS-related Kaposi's sarcoma.

OBJECTIVE: To characterize the population pharmacokinetics of pegylated-liposomal doxorubicin in patients with acquired immunodeficiency disease (AIDS)-related Kaposi's sarcoma and to explore the relationship between response of the cutaneous Kaposi's sarcoma lesions to treatment and measures of drug exposure. METHODS: Forty-three male patients (median age, 40 years; age range, 28 to 50 years), body surface area, 1.89 m2; range, 1.5 to 2.3 m2) with AIDS and at least five biopsy-proven cutaneous Kaposi's sarcoma lesions were randomized to receive either a 10 or 20 mg/m2 dose of study drug for their first cycle and the alternate dose 3 weeks later. Patients continued to receive the study drug at a dose of 20 mg/m2 every 3 weeks. Serial blood samples were obtained after the first two doses and analyzed by HPLC for determination of total plasma doxorubicin concentration. Kaposi's sarcoma lesion response was categorized as either progressive disease, stable disease, partial response, or complete response. Classification and regression tree (CART) analysis was used to determine the relationship between drug exposure and categorical lesion response. Iterative two-stage analysis was used to characterize both the pharmacokinetics of pegylated-liposomal doxorubicin and to model the probabilities of achieving a specific lesion response. RESULTS: The pharmacokinetics of pegylated-liposomal doxorubicin were best described by a two-compartment linear structural model. Lesion response was significantly related to both the average daily maximum doxorubicin concentration (Cmax,avg) and dose intensity. CONCLUSIONS: The pharmacokinetics of pegylated-liposomal doxorubicin are strikingly different from conventional doxorubicin. Identification of both Cmax,avg and dose intensity as predictors of lesion response will provide guidelines for future dosing regimen designs.

Acquired Immunodeficiency Syndrome↗

PubMed1997

Pharmacokinetics and pharmacodynamics of oral grepafloxacin in patients with acute bacterial exacerbations of chronic bronchitis.

This analysis was designed to characterize the population pharmacokinetics and pharmacodynamics of oral grepafloxacin (OPC-17,116) in patients with acute bacterial exacerbations of chronic bronchitis (ABECB). The study group included 76 patients (43 male, 33 female) between 23 and 81 years of age, who were part of a multicentre, randomized, double-blind, dose-response study. Patients were randomly assigned to receive oral regimens of grepafloxacin, 200, 400 or 600 mg, each administered once daily for 14 days. Plasma samples for drug assay (typically eight per subject; four samples on either day 3, 4 or 5, plus troughs on other clinic visit days), were obtained during treatment. Population pharmacokinetic analysis was accomplished using iterative two-stage analysis. Cultures and quantitative Gram stains from serial 24 h collections of sputum were used to determine the time (in days) taken to eradicate each bacterial strain. Population pharmacodynamic analysis was performed for three measures of antibacterial response: probability of bacteriological cure, probability of clinical cure, and time to eradication. Grepafloxacin plasma concentration profiles were best fitted by a pharmacokinetic model with first-order absorption following a lag time between administration of the dose and onset of systemic absorption. All three measures of response were strongly related to the 24 h AUIC (AUC/MIC). At an AUIC of <75, the percent probability of clinical cure was 71%; at an AUIC of 75-175, it was 80% (P < 0.05) and at an AUIC of >175, it was 98% (P < 0.01). In conclusion, antibacterial response for grepafloxacin in ABECB patients was highly related to AUIC; values of <75 appear inadequate and values of >175 were optimal.

Administration, Oral↗

PubMed1997

Pharmacodynamic modeling of the in vivo interaction between cefotaxime and ofloxacin by using serum ultrafiltrate inhibitory titers.

The pharmacokinetics (PK) and pharmacodynamics (PD) of cefotaxime and ofloxacin and of their combination were examined in a three-period randomized crossover study involving 12 healthy adults. The PK of cefotaxime and ofloxacin were modeled. PD was assessed from the predicted concentrations in serum and serum untrafiltrate inhibitory titers for 10 test organisms. An inhibitory sigmoid Emax model based on the probability of bacterial growth was used, where Emax = 1 and EC50 is the concentration resulting in a 50% probability of growth. The total body clearance (CL(T)) and volume of distribution at steady state (V(SS)) for cefotaxime were 0.236 liters/kg/h and 0.207 liters/kg, respectively, for the monotherapy and 0.231 liters/kg/h and 0.208 liters/kg for the combination therapy. Ofloxacin exhibited PK parameters of 0.143 liters/kg/h for CL(T) and 1.20 liters/kg for V(SS) following the monotherapy and of 0.141 liters/kg/h for CL(T) and 1.16 liters/kg for V(SS) following combination therapy. For the combination therapy, an interaction term, theta, defined the type and relative extent of interaction. The range of observed theta values (-0.033 to 0.067) is consistent with an additive PD interaction according to standards similar to those used for the in vitro fractional inhibitory concentration index.

Adult↗

PubMed1997

Modeling the response of pneumonia to antimicrobial therapy.

The response to antimicrobial therapy in patients with pneumonia was assessed by using a previously developed pneumonia scoring system. Patients from two different clinical trials were evaluated. The first group (n = 22) was treated with cefmenoxime. For these patients, doses were adjusted to achieve an area under the plasma concentration-versus-time curve (AUC) above the MIC of 140 microg x h/ml and pneumonia response scores were evaluated retrospectively. The second group (n = 21) were treated with either ciprofloxacin (CIP) or ceftazidime (TAZ) in a randomized clinical trial. Here, doses were adjusted to achieve AUC from 0 to 24 h/MIC values that were > 250 SIT(-1) x h (estimate of the area under the curve of inverse serum inhibitory titer versus time) and pneumonia response scoring was concurrent. In both studies eradication of the pathogen was determined by serial endotracheal cultures and clinical parameters were scored daily. A decrease in total score was indicative of an improving clinical condition. The percent change in clinical daily score was determined for each day of treatment. The rate of clinical response was determined by linear regression of the percent change in daily clinical score versus time during the course of antimicrobial therapy. Factors predictive of time to eradication were explored by interval analysis. Logistic regression was used to determine the earliest time point in therapy at which treatment scores predicted outcome. Kruskal-Wallis analysis of variance was used for statistical analysis, and significance was accepted at P < 0.05. There were no differences in baseline scores at day one for the patients treated with different antibiotics (P = 0.58). For patients with pathogen eradication, a significant difference between the two studies in time to eradication was found: 4.8 days for cefmenoxime-treated patients and 1.4 days for CIP- or TAZ-treated patients (P < 0.001). For patients experiencing bacterial eradication, the rates of clinical change for cefmenoxime and CIP or TAZ treatment were similar (P = 0.77). For patients with organisms that were not eradicated, the rates of change were similar (P = 0.14). There was a significant difference in the rate of change for patients experiencing eradication compared with that for patients in which the organism persisted (P << 0.01). Both treatment group and rate were found to be predictive of days to eradication. There was a significant difference in the percent change in clinical score on day 3 of therapy for patients with bacteria that were eradicated versus those with persistent organisms (P < 0.01). The percent change was more predictive of outcome with each subsequent day. Patients who demonstrated a > or = 10% reduction in clinical score after 72 h of treatment had an 88% probability of bacterial eradication. The clinical scoring system is a useful tool for modeling the response of pneumonia to antimicrobial therapy. The ability to predict outcome relatively early in therapy, by using a scoring system of clinical parameters which can be routinely monitored, will aid in assessing the response to antimicrobial therapy in clinical as well as in research settings.

Anti-Infective Agents↗

PubMed1997

Evaluation of a sparse sampling strategy for determining vancomycin pharmacokinetics in preterm neonates: application of optimal sampling theory.

OBJECTIVE: To use optimal sampling theory to determine the fewest vancomycin concentrations required and the appropriate sampling times to calculate vancomycin pharmacokinetic parameters in neonates. DESIGN: Unblinded evaluation in neonates with presumed sepsis. SETTING: Level 3 community-based neonatal intensive care unit. PATIENTS: Eleven neonates with presumed sepsis. INTERVENTIONS: Twelve courses of intravenous vancomycin 20 mg/kg were administered. Blood samples were collected 3 and 9 hours after initiation of a 1-hour infusion of the first dose. MEASUREMENTS AND MAIN RESULTS: A two-compartment model was fit to vancomycin concentrations using iterative two-stage analysis. Pharmacokinetic parameter estimates were used for determination of optimal sampling times for two-, three-, and four-sample strategies with subsequent generation of two-, three-, and four-sample concentration data for 100 cases. Relative performance of strategies was compared through calculation and comparison of D efficiency for the determined strategies. Bias (median percent error) and precision (median percent absolute error) of pharmacokinetic parameter estimates for each strategy in the 100 simulated cases were determined. CONCLUSIONS: For estimation of total clearance and volume in the central and peripheral compartments, all strategies performed similarly with no difference in efficiency or bias and precision of estimates. Our results suggest that for clinical evaluations two appropriately timed samples (0.5 h after a 1-h infusion, trough concentration) are adequate for estimation of vancomycin clearance in neonates.

Aminoglycosides↗

PubMed1997

In nosocomial pneumonia, optimizing antibiotics other than aminoglycosides is a more important determinant of successful clinical outcome, and a better means of avoiding resistance.

In in vitro and animal models, antibiotics show good relationships between concentration and response, when response is quantified as the rate of bacterial eradication. The strength of these in vitro relationships promises their utility for dosage regimen design and predictable cure of infections such as nosocomial pneumonia. In spite of their intuitive logic, close relationships between dosage and bacterial eradication have not been easy to show in clinical studies of nosocomial pneumonia. Presumably, a variety of patient, disease, bacterial, and pharmacokinetic variables cloud these relationships in patients, and delay their elucidation in patient trials. Patients with serious infections like nosocomial pneumonia require bactericidal antimicrobial activity. Studies in our laboratory show that the minimum effective antimicrobial action is an area under the inhibitory titer (AUIC) of 125, in which AUIC is calculated as the 24 hour serum area under the curve (AUC) divided by the minimum inhibitory concentration (MIC) of the pathogen. This target AUIC may be achieved with either a single antibiotic or it can be the sum of AUIC values of two or more antibiotics. There is considerable variability in the actual AUIC value for patients when antibiotics are administered in their usual recommended dosages. Examples of this variance will be provided using aminoglycosides, fluoroquinolones, and beta-lactams. The achievement of minimally effective antibiotic action, consisting of an AUIC of at least 125, is associated with bacterial eradication in about 7 days for beta-lactams and quinolones. Adding an aminoglycoside to beta-lactams may produce a slight increase in their rate of bacterial killing in vivo, but because of their narrow therapeutic window, and the associated low doses in relation to MIC, there are situations in which the aminoglycosides may be unable to add sufficient additional AUIC. Antibiotic activity indices allow clinicians to evaluate individualized patient regimens. Furthermore, antibiotic activity is a predictable clinical endpoint with predictable clinical outcome. This value also is highly predictive of the development of bacterial resistance. Antimicrobial regimens that do not achieve an AUIC of at least 125 cannot prevent the selective pressure that leads to overgrowth of resistant bacterial subpopulations. The methods based on the determination of AUIC have clinical applicability in routine practice, through software developed for this purpose. These indices can assist with patient management strategies in a prospective manner because they can identify patients at high risk of therapeutic failure or acquired resistance early in therapy before therapy fails. Our studies show that calculations of AUIC can be used to prospectively target regimens to improve the chances of cure with nosocomial pneumonia and other serious infections. A clinical intervention team has been organized to optimize antimicrobial regimens as early in therapy as possible, to lower the high cost events such as failure and acquired bacterial resistance.

Aminoglycosides↗