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ABSTRACT: We sought to characterize the pharmacodynamic profile of the more intensive vancomycin dosing regimens currently used in response to the recent vancomycin guidelines.
A series of Monte Carlo simulations was performed for vancomycin regimens ranging from .5 g intravenous (IV) Q12H to 2 g IV Q12H. The probability of achieving an AUC/MIC ratio ≥ 400 for each dosing regimen was calculated for minimum inhibitory concentrations (MICs) from .5 to 2 mg/L. The risk of nephrotoxicity for each regimen was derived from a previously published vancomycin trough-nephrotoxicity logistic regression function. Restricted analyses were performed that only included subjects with troughs between 15 and 20 mg/L.
At a MIC of 2 mg/L, even the most aggressive dosing regimen considered (2 g every 12 h) only yielded a probability of target attainment (PTA) of 57% while generating a nephrotoxicity probability upward of 35%(.) At a MIC of 1 mg/L, ≥3 g per day provided PTA in excess of 80% but were associated with unacceptable risks of nephrotoxicity. In the restricted analyses of subjects with troughs between 15 and 20 mg/L, all regimens produced a PTA of 100% at MICs ≤1 mg/L. The PTA was variable among the regimens at a MIC of 2 mg/L and was highly dependent on the total daily dose administered.
This study indicates that vancomycin may not be useful for treating serious methicillin-resistant Staphylococcus aureus (MRSA) infections with MIC values > 1 mg/L where PTA is questionable. Since an AUC/MIC ratio ≥ 400 is target associated with efficacy, one should consider incorporating computation of AUC when monitoring vancomycin.
Clinical Infectious Diseases 04/2011; 52(8):969-74. · 9.15 Impact Factor
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Clinical Infectious Diseases 12/2009; 49(12):1965-1966. · 9.15 Impact Factor
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American journal of health-system pharmacy: AJHP: official journal of the American Society of Health-System Pharmacists 02/2009; 66(1):82-98. · 2.10 Impact Factor
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ABSTRACT: Recent guidelines recommend vancomycin trough concentrations between 15 and 20 mg/liter. In response, some clinicians increased vancomycin dosing to >or=4 g/day. Scant data are available regarding toxicities associated with higher vancomycin doses. The purpose of this study was to examine vancomycin-associated nephrotoxicity at >or=4 g/day. To accomplish the study objective, a cohort study among a random selection of patients receiving vancomycin or linezolid between 2005 and 2006 was performed. Patients were included if they (i) were >or=18 years of age, (ii) were nonneutropenic, (iii) were on therapy for >48 h, (iv) had baseline serum creatinine levels of <2.0 mg/dl, (v) did not suffer from cystic fibrosis, and (vi) had no intravenous contrast dye within the previous 7 days. For drug exposure, three treatment strata were created: standard vancomycin dose (<4 g/day), high vancomycin dose (>or=4 g/day), and linezolid. Nephrotoxicity was defined as a serum creatinine increase of 0.5 mg/dl or 50%, whichever was greater, after therapy initiation. Stratified Kaplan-Meier analysis and Cox modeling were used to compare times to nephrotoxicity across groups. During the study, 246 patients on vancomycin (26 patients taking >or=4 g/day and 220 patients taking <4 g/day) and 45 patients on linezolid met the criteria. A significant difference in nephrotoxicity between patients receiving >or=4 g vancomycin/day, those receiving <4 g vancomycin/day, and those receiving linezolid was noted (34.6%, 10.9%, and 6.7%, respectively; P = 0.001), and Kaplan-Meier analysis identified significant differences in time to nephrotoxicity for the high-vancomycin-dose cohort compared to those for groups taking the standard dose and linezolid. In the Cox model, patients taking >or=4 g vancomycin/day, a total body weight of >or=101.4 kg, estimated creatinine clearance of </=86.6 ml/min, and intensive care unit residence were independently associated with time to nephrotoxicity. The data suggest that higher-dose vancomycin regimens are associated with a higher likelihood of vancomycin-related nephrotoxicity.
Antimicrobial Agents and Chemotherapy 05/2008; 52(4):1330-6. · 4.84 Impact Factor
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ABSTRACT: To compare rates of hypoglycemia and hyperglycemia among elderly hospitalized patients with normal blood glucose concentrations at baseline who were receiving either gatifloxacin or levofloxacin, and to determine if appropriateness of their doses, according to their package inserts, was associated with hypoglycemia or hyperglycemia.
Retrospective cohort study.
Integrated Veterans Administration (VA) health care system.
Nine hundred thirty-seven elderly (>or= 65 yrs) patients with documented blood glucose levels of 65-140 mg/dl before receiving a fluoroquinolone.
Between January 2003 and April 2004, 405 patients receiving levofloxacin met study criteria. In April 2004, gatifloxacin was substituted for levofloxacin on the formulary of this VA system. Thus, between April 2004 and December 2004, 532 patients received gatifloxacin. All blood glucose concentrations during hospitalization that were measured during fluoroquinolone therapy or within 72 hours of completion of therapy were reviewed. Demographic characteristics, comorbidities, insulin and oral hypoglycemic therapies, disease severity, blood glucose levels, and outcomes were recorded and compared between groups. The two groups were similar at baseline for all characteristics examined except previous hospitalization. In the logistic regression, gatifloxacin was independently associated with both hypoglycemia (adjusted odds ratio [AOR] 2.5, 95% confidence interval [CI] 1.2-5.7, p=0.04) and hyperglycemia (AOR 2.4, 95% CI 1.5-3.6, p<0.001). Improper dosage adjustment based on renal function was not associated with higher rates of hypoglycemia and hyperglycemia for either drug. Of the 532 patients receiving gatifloxacin, 465 (87.4%) received appropriate doses, yet gatifloxacin was associated with higher rates of hypoglycemia and hyperglycemia compared with patients receiving levofloxacin.
Higher rates of both hypoglycemia and hyperglycemia were noted among elderly hospitalized patients who received gatifloxacin compared with those receiving levofloxacin, irrespective of dosing.
Pharmacotherapy 11/2007; 27(11):1498-505. · 2.90 Impact Factor
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ABSTRACT: Although a growing number of studies have found a relationship between delayed appropriate antibiotic therapy and mortality, few have attempted to quantify the temporal association between delayed appropriate antibiotic therapy and mortality. This study was designed to measure the elapsed time associated with an increased risk of 30-day mortality among patients with Pseudomonas aeruginosa bacteremia. The retrospective cohort study was conducted among immunocompetent, adult patients with P. aeruginosa bacteremia onset at least 2 days after hospital admission between 1 January 2001 and 30 September 2006. Classification and regression tree analysis (CART) was used to identify the delay in appropriate antibiotic therapy that was associated with an increased risk of 30-day mortality. During the study period, 100 patients met the inclusion criteria. The CART-derived breakpoint between early and delayed treatment was 52 h. The delayed treatment group experienced a >2-fold significant increase in 30-day mortality compared to the early treatment group (44 and 19%, respectively, P = 0.008). Delayed appropriate therapy of >52 h (odds ratio [OR] = 4.1; 95% confidence interval [CI] 1.2 to 13.9, P = 0.03) was independently associated with 30-day mortality in the multivariate analysis. Antibiotic resistance > or =3 classes (adjusted OR [AOR] = 4.6; 95% CI = 1.9 to 11.2, P = 0.001) and chronic obstructive pulmonary disease (AOR = 5.4; 95% CI = 1.5 to 19.7, P = 0.01) were independently associated with delayed appropriate therapy of >52 h. The data strongly suggest that delaying appropriate therapy for approximately 2 days significantly increases the risk of 30-day mortality in patients with P. aeruginosa bloodstream infections.
Antimicrobial Agents and Chemotherapy 11/2007; 51(10):3510-5. · 4.84 Impact Factor
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ABSTRACT: Piperacillin-tazobactam is frequently used to treat Pseudomonas aeruginosa infections in critically ill patients. In an effort to improve clinical outcomes, an extended-infusion dosing scheme for piperacillin-tazobactam therapy was devised using a Monte Carlo simulation and was adopted into clinical practice at Albany Medical Center (Albany, New York). This study evaluates the clinical implications of extended infusion of piperacillin-tazobactam therapy for critically ill patients with P. aeruginosa infection.
We performed a cohort study of patients who received piperacillin-tazobactam therapy for a P. aeruginosa infection that was susceptible to piperacillin-tazobactam during the period January 2000-June 2004. Prior to February 2002, all patients received intermittent infusions of piperacillin-tazobactam (3.375 g intravenously for 30 min every 4 or 6 h); after this time, all patients received extended infusions of piperacillin-tazobactam (3.375 g intravenously for 4 h every 8 h). Data on demographic characteristics, disease severity, and microbiology were collected, and outcomes were compared between groups.
A total of 194 patients comprised the 2 study groups: 102 patients received extended infusions of piperacillin-tazobactam, and 92 patients received intermittent infusions of piperacillin-tazobactam. No differences in baseline clinical characteristics were noted between the 2 groups. Among patients with Acute Physiological and Chronic Health Evaluation-II scores > or =17, 14-day mortality rate was significantly lower among patients who received extended-infusion therapy than among patients who received intermittent-infusion therapy (12.2% vs. 31.6%, respectively; P=.04), and median duration of hospital stay after collection of samples for culture was significantly shorter for patients who received extended-infusion therapy than for patients who received intermittent-infusion therapy (21 days vs. 38 days; P=.02).Conclusions. These results indicate that extended-infusion piperacillin-tazobactam therapy is a suitable alternative to intermittent-infusion piperacillin-tazobactam therapy, and they strongly suggest that improved outcomes may be realized by administering extended-infusion piperacillin-tazobactam therapy to critically ill patients with P. aeruginosa infection.
Clinical Infectious Diseases 03/2007; 44(3):357-63. · 9.15 Impact Factor
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ABSTRACT: Despite the increasing prevalence of multiple-drug-resistant (MDR) Pseudomonas aeruginosa, the factors predictive of MDR have not been extensively explored. We sought to examine factors predictive of MDR among patients with P. aeruginosa respiratory tract infections and to develop a tool to estimate the probability of MDR among such high-risk patients. This was a single-site, case-control study of patients with P. aeruginosa respiratory tract infections. Multiple-drug resistance was defined as resistance to four or more antipseudomonal antimicrobial classes. Clinical data on demographics, antibiotic history, and microbiology were collected. Classification and regression tree analysis (CART) was used to identify the duration of antibiotic exposure associated with MDR P. aeruginosa. Log-binomial regression was used to model the probability of MDR P. aeruginosa. Among 351 P. aeruginosa-infected patients, the proportion of MDR P. aeruginosa was 35%. A significant relationship between prior antibiotic exposure and MDR P. aeruginosa was found for all of the antipseudomonal antibiotics studied, but the duration of prior exposure associated with MDR varied between antibiotic classes; the shortest prior exposure duration was observed for carbapenems and fluoroquinolones, and the longest duration was noted for cefepime and piperacillin-tazobactam. Within the final model, the predicted MDR P. aeruginosa likelihood was most dependent upon length of hospital stay, prior culture sample collection, and number of CART-derived prior antibiotic exposures. A history of a prolonged hospital stay and exposure to antipseudomonal antibiotics predicts multidrug resistance among patients with P. aeruginosa respiratory tract infections at our institution. Identifying these risk factors enabled us to develop a prediction tool to assess the risk of resistance and thus guide empirical antibiotic therapy.
Antimicrobial Agents and Chemotherapy 03/2007; 51(2):417-22. · 4.84 Impact Factor
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ABSTRACT: The primary objectives of this analysis were to determine which pharmacokinetic model most accurately describes the elimination pathways for piperacillin in the presence of tazobactam through population pharmacokinetic modeling and to characterize its pharmacodynamic profile. Once the optimal pharmacokinetic model was identified, Monte Carlo simulation of 10,000 subjects with ADAPT II was performed to estimate the probability of attaining a target free-piperacillin concentration greater than the MIC for 50% of the dosing interval for 3.375 g every 6 h or every 4 h given as a 0.5-h infusion at each MIC between 0.25 and 32 microg/ml. In the population pharmacokinetic analysis, measurements of bias and precision, observed-predicted plots, and r2 values were highly acceptable for all three models and all three models were appropriate candidates for the Monte Carlo simulation evaluation. Visual comparison of the distribution of the piperacillin concentrations at the pharmacodynamic endpoint--h 3 concentrations of a 6-h dosing interval--between the simulated populations and raw data revealed that the linear model was most reflective of the raw data at the pharmacodynamic endpoint, and the linear model was therefore selected for the target attainment analysis. In the target attainment analysis, administration of 3 g of piperacillin every 6 h resulted in a robust target attainment rate that exceeded 95% for MICs of < or =8 mg/liter. The 4-h piperacillin administration interval had a superior pharmacodynamic profile and provided target attainment rates exceeding 95% for MICs of < or =16 mg/liter. This study indicates that piperacillin-tazobactam should have utility for empirical therapy of hospital-onset infections.
Antimicrobial Agents and Chemotherapy 12/2004; 48(12):4718-24. · 4.84 Impact Factor
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Pharmacotherapy 07/2002; 22(6):800-1. · 2.90 Impact Factor
