Research Article | Therapeutics and Prevention

A Translational Pharmacokinetic Rat Model of Cerebral Spinal Fluid and Plasma Concentrations of Cefepime

Sean N. Avedissian, Gwendolyn Pais, Medha D. Joshi, Nathaniel J. Rhodes, Marc H. Scheetz
Patricia A. Bradford, Editor
DOI: 10.1128/mSphere.00595-18

ABSTRACT

This study sought to define the transit of cefepime between plasma and cerebral spinal fluid (CSF) in a rat model. Male Sprague-Dawley rats received cefepime intravenously. A total daily dose of 150 mg/kg of body weight/day was administered as a single injection every 24 h for 4 days. Plasma samples were obtained via a second dedicated intravenous catheter. CSF sampling occurred via an intracisternal catheter. Cefepime levels in plasma and CSF were quantified via liquid chromatography-tandem mass spectrometry (LC-MS/MS). Pharmacokinetic (PK) analyses were conducted using Pmetrics for R. PK parameters and exposures during the first 24 h (i.e., area under the concentration-time curve from 0 to 24 h [AUC0–24] and maximum concentration of drug in serum from 0 to 24 h [Cmax 0–24]) were calculated from Bayesian posteriors. CSF penetration was estimated by comparing the exposure profiles between plasma and the CSF. Eleven rats contributed PK data. A four-compartmental model with a lag compartment for CSF fit the data well for both plasma (Bayesian [R2 = 0.956]) and CSF (Bayesian [R2 = 0.565]). Median parameter values (with the coefficient of variation percentage [CV%] in parentheses) for the rate constants to CSF from the lag compartment (K34), to the central compartment from the CSF compartment (K41), and to the lag compartment from the central compartment (K13) were 2.96 h−1 (116.27%), 0.47 h−1 (54.86%), and 0.13 h−1 (23.42%), respectively. The elimination rate constant (kel) was 3.15 h−1 (7.5%). Exposure estimation revealed a plasma median (with interquartile range [IQR] in parentheses) half-life, AUC0–24, and Cmax 0–24, of 1.7 (1.5 to 1.9) h, 111.3 (95.7 to 136.5) mg · 24 h/liter, and 177.8 (169.7 to 236.4) μg/ml, from the first dose, respectively. Exposure estimation of CSF demonstrated a median (with IQR in parentheses) AUC0–24 and Cmax 0–24 of 26.3 (16.6 to 43.1) mg · 24 h/liter and 6.8 (5.2 to 9.4) μg/ml, respectively. The median CSF/blood percentage of penetration was 19%. Cefepime transit to the CSF is rapid and predictable in the rat model. This model will be highly useful for understanding the therapeutic window for cefepime and neurotoxicity.

IMPORTANCE This study defines the transit of cefepime between plasma and cerebral spinal fluid (CSF) in a rat model. Male Sprague-Dawley rats received cefepime intravenously. Plasma samples were obtained via a second dedicated intravenous catheter. CSF sampling occurred via an intracisternal catheter. Drug exposures and transfer from the plasma to the CSF during the first 24 h were calculated. The median CSF/blood percentage of penetration was 19%. Cefepime transit to the CSF is rapid and predictable in the rat model. This model will be highly useful for understanding the therapeutic window for cefepime and neurotoxicity.

INTRODUCTION

Antibiotic-resistant Gram-negative bacillus (GNB) infections are characterized by high morbidity and mortality. These infections have reached epidemic proportions—infecting at least 2 million Americans annually and resulting in 23,000 attributable deaths (1). These infections represent an “urgent and serious” threat (1) and have led to a Presidential Executive Order and National Action Plan to combat the threat (2, 3). One methodology to mitigate poor GNB outcomes is to use maximal antimicrobial exposures; however, this leaves toxicity unconsidered. β-Lactams are highly effective against GNB; optimal exposure is mediated when concentrations remain above the MIC of GNB for prolonged periods of time. Elevated MICs for GNB now mean that standard FDA-approved doses of β-lactams may no longer be effective. Our previous studies have examined exposure thresholds and defined several clinical failure thresholds for β-lactam agents according to increasing MIC (4–6).

Similar to other β-lactams, the pharmacokinetic/pharmacodynamic (PK/PD) index most predictive of clinical outcomes for cefepime is the time fraction of unbound drug above the MIC of the pathogen (∫T>MIC [∼60 to 70% ∫T>MIC]) (6, 7). Current guideline recommendations for management of bacterial meningitis list cefepime as a guideline-approved therapy (8). Faced with rising MICs, many clinicians use maximal cefepime exposures to cure these infections and prevent resistance. However, using higher doses in an unguided manner has led to excess neurotoxicity (9–11), as also documented by an FDA safety announcement in 2012 (12). Despite the knowledge that higher doses seem to cause neurotoxicity, the exact exposure index mediating cefepime-associated neurotoxicity remains unclear (5).

Several animal and human studies have evaluated and described the transit of cefepime from the central distribution (i.e., plasma) to the target areas (i.e., brain and cerebral spinal fluid [CSF]) (13–15). Human studies put cefepime penetration between a median of 8% and mean of 23% (13), and animal models have demonstrated cefepime CSF concentrations between 16.2 and 36% (14, 15). However, there is very little information about the real-time transfer of cefepime from the blood to the CSF from studies with robust samples. Quantitatively defining this relationship will ultimately be required to fully understand the exposure drivers of neurotoxicity. Thus, the objective of the proposed research was 2-fold: (i) to explain cefepime transit from the plasma to the CSF and (ii) to estimate the percentage of cefepime crossing from plasma to CSF in a rat model.

RESULTS

Characteristics of animal cohort.A total of 11 rats received cefepime and had plasma and CSF concentrations sampled. All rats had nine plasma concentrations (complete sampling) and a median of six CSF concentrations sampled over the 4-day protocol. Four animals had intracisternal catheter failures before the collection of a single CSF sample. All plasma samples collected were utilized for model building, with the exception that one rat had a single plasma concentration 100-fold higher than anticipated (i.e., 5,082 μg/ml); this concentration was excluded from analysis.

Cefepime PK models.Models successfully converged for all two-, three-, and four-compartment models. The final model was a four-compartment model with a lag compartment for CSF (Fig. 1) with an Akaike information criterion (AIC) score of 509 (Table 1). The final model’s median parameter values for elimination rate constant (kel), volume of central compartment (Vc), volume of CSF compartment (VCSF), the rate constant to the peripheral from the central compartment (K12), the rate constant to the central from the peripheral compartment (K21), the rate constant to the CSF compartment from the lag compartment (K34), the rate constant to the central compartment from the CSF compartment (K41), and the rate constant to the lag compartment from the central compartment (K13) were as follows (with the coefficient of variation percentage [CV%] in parentheses): kel, 3.15 h−1 (7.52%); Vc, 0.11 liter (22.9%); VCSF, 0.14 liter (64.4%); K12, 18.20 h−1 (40.17%); K21, 41.98 h−1 (10%); K34, 2.96 h−1 (116.27%); K41, 0.47 h−1 (54.86%); and K13, 0.13 h−1 (23.42%) (Table 2). In the model for predictive performance of observed versus Bayesian predicted concentrations, bias, imprecision, and the coefficient of determination (R2) were, respectively, −0.239 μg/ml, 0.425 (μg/ml)2, and 0.956 for plasma and −0.409 μg/ml, 1.94 (μg/ml)2, and 0.565 for CSF (Fig. 2).

FIG 1
FIG 1

Schematic and differential equations of base four-compartmental PK model with a lag compartment for CSF. Abbreviations: PK, pharmacokinetic; Kel, elimination rate constant; Vc, volume of central compartment; VCSF, volume of CSF compartment; K12, rate constant to peripheral from central compartment; K21, rate constant to central from peripheral compartment; K13, rate constant to lag compartment from central compartment; K34, rate constant to CSF from lag compartment; K41, rate constant to central from CSF compartment; X1, amount in the central compartment; X2, amount in the peripheral compartment; X3, amount in the lag compartment; X4, amount in the CSF compartment.

FIG 2
FIG 2

Observed versus predicted Bayesian plots from the final model for plasma (left) and CSF (right). CI, confidence interval.

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TABLE 1

PK model build comparisona

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TABLE 2

Median parameter values from final modela

Cefepime PK exposures and percentage of CSF penetration.The overall pharmacokinetic exposures for all rats are summarized in Table 3. PK median parameters for plasma were as follows (with the interquartile range [IQR] in parentheses): half-life of 1.7 (1.5 to 1.9) h, AUC0–24 of 111.3 (95.7 to 136.5) mg · h/liter, and Cmax 0–24 of 177.8 (169.7 to 236.4) μg/ml, from the first dose. PK exposures revealed a CSF median (IQR) AUC0–24 of 26.3 (16.6 to 43.1) mg · h/liter and Cmax 0–24 of 6.8 (5.2 to 9.4) μg/ml. The median percentages of cefepime penetration into the CSF were 19% as calculated from AUC0–24 and 3% as calculated from Cmax 0–24. The complete list of percentages of cefepime penetration into CSF for each animal can be found in Table 3.

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TABLE 3

Cefepime plasma and CSF PK exposures estimated using Bayesian posteriors for AUC0–24 and Cmax 0–24 and percentage of cefepime in CSF or blooda

DISCUSSION

To our knowledge, this is the first study that quantitatively describes the transit of cefepime from plasma to the CSF at the individual animal level and over a period of several days. These data are necessary to develop physiologically based pharmacokinetic models and further enhance translation. Obtaining individual-level pharmacokinetics required multiple samplings of both blood and CSF over the course of study. Previous studies analyzed population-level (i.e., single samples of blood and CSF pooled over a population of animals) PK in neonatal rats (15) or meningitis rabbit models (14, 16). Gerber et al. and Tauber et al. obtained serial concentrations of plasma and CSF from rabbits over 7 to 8 h, but continual anesthesia was required for the entire experimental period (14, 16). Collectively, these studies found that cefepime CSF penetration varied from 16.2% to 36%, depending on the animal model utilized (rats versus rabbits) and if inflammation/infection was present (14, 15). We found that the median percentage of penetration of cefepime calculated by the ratio of AUC0–24 in CSF to plasma was 19%, and collectively the results from animal studies agree with results from human studies (range of 8 to 23%) (13–15, 17). The agreement between the human and animal models provides high translational capacity, and our model further limits the number of animals required in the study (as noninvasive repeat samples are readily possible, and population averaging per time point is not required). These findings are highly important to the movement to reduce and refine humane animal research (18).

Rodent models have been utilized for neurodegenerative diseases for many years given they possess similar brain structure connectivity and release similar neurotransmitters. Furthermore, the rat has been used in many phenotypic seizure models (19). Additionally, enhancement of cellular glutamate uptake via glutamate transporter subtype 1 (GLT-1) in the rat, which is named EAAT2 (excitatory amino acid transporter-2) in humans, has been studied for other β-lactams (i.e., ceftriaxone) (20). Less is known about cefepime. Further study is warranted.

For translational purposes, it is important to note that our study utilized total drug concentrations of cefepime. As free concentrations were not measured, we did not employ a population value to correct for protein binding as this could be potentially misleading. Notably, human plasma protein binding for cefepime is low (∼10 to 20% [21–24]), and binding in rats is lower than that in humans for other β-lactams (24); thus, most drug is expected to be free in both models. Additionally, since CSF volume in the rat is very low, it is technically difficult to quantify the free concentration in the CSF (which theoretically would be higher than the plasma). These results would be expected to increase penetrance values; however, confirmatory work would be needed to classify free drug penetrance.

We identified that peak concentrations in the CSF are blunted and produce different estimates of penetration compared to AUC-based evaluations. The latter is more relevant in our opinion as β-lactams are time-dependent drugs pharmacodynamically, and this has been the standard for defining cefepime penetration in the literature (25). Our analysis also demonstrates that the mass transit of cefepime to the CSF occurs rapidly (i.e., K13 + K34 = 3.09 h−1), indicating that steady state is approached within an hour (0.693/3.09 × 3 = 0.67 h). This finding is similar to results from a previous study by Lodise and colleagues that described the mass transit of cefepime in 7 patients with external ventricular drains (13). Their estimation of the intercompartmental rate constant (K13) in their study was nearly identical (i.e., 3.4 h−1). Thus, the rat model highly replicates the human condition. It should be noted that the predicted median t1/2 of 1.7 h was calculated from the terminal elimination phase as described in Materials and Methods. When t1/2 is calculated from kel in our model, a substantially different result is obtained [i.e., ln(2)/median kel = 0.22 h]. The compartmental based t1/2 calculated is more relevant to acute elimination phase, and those wishing to utilize calculations from our study should understand the differences in calculations for their own application.

We identified two potential CSF concentration outliers in one animal during the evaluation of each animal’s pharmacokinetic profile (Fig. 3a and b). This particular profile suggested that the animal may have experienced higher than normal exposure to cefepime in CSF due to potential inflammation or a blood-contaminated tap, although we conservatively opted to keep this animal in the overall analysis. Model fits were substantially better without the inclusion of this animal (Fig. 3c and d); however, as we were unable to verify the cause of the discrepancy, these values were used in our final model.

FIG 3

Plasma (black) and CSF (red) Bayesian observed versus predicted plots for all animals (a) and one animal (b) with two observed CSF concentrations higher than predicted (circled) and overall improvement in CSF observed versus predicted Bayesian plots before (c) and after (d) an animal is excluded.

We acknowledge several limitations in our study exist. First, this study protocol utilized a single daily dose of cefepime. It is unknown if concentration-mediated changes to CSF transit occur. Unfortunately, assessment of dose response was beyond the scope of this pilot study. It remains possible that transit rate and extent are driven by concentration: thus, magnitude of dose may influence central nervous system (CNS) penetration. This would require further study to explore; however, this has not been the case for the majority of β-lactams studied clinically. Second, animals displayed a CV% of <50% (values not shown) across exposure measurements (i.e., AUC and Cmax), demonstrating moderate interanimal variability. These results substantiate the need to study PK at the individual animal level and that variability is similar to that of human studies. Third, four animals had occluded intracisternal catheters before the experimental portion of the study began, and CSF could not be sampled; however, seven animals had more complete data, with ≥4 CSF samples each. Fourth, our model did not utilize infected animals where inflamed meninges can increase the amount of cefepime that reaches the CSF (14, 15). However, the results of our model estimates for mass transit from plasma to CSF are numerically similar to the estimation by Lodise et al. (13). Finally, one animal displayed a plasma concentration of 5,082 μg/ml, which was over 100-fold higher than expected. This concentration was omitted. A potential explanation for this occurrence was that the sample might have been taken from a syringe that was used to administer the cefepime dose given the proximity of the sample to dose administration to the animal.

In summary, these data demonstrate that cefepime transit to the CSF is rapid and highly predictable in the rat model. The outcomes from the rat model agree highly with those from human studies. This rat model will be highly useful for future applications, including understanding neurotoxicity outcomes for cefepime. Further studies are warranted.

MATERIALS AND METHODS

This pharmacokinetic/toxicodynamic (PK/TD) study was conducted at Midwestern University in Downers Grove, IL. All study methods were approved by the Institutional Animal Care and Use Committee (IACUC; protocol no. 2793) and conducted in an AAALAC-accredited animal facility.

Experimental design and animals.Male Sprague-Dawley rats (n = 11, mean weight, 306 g) were obtained from Charles River (Raleigh, NC). All catheters (cisternal and vein cannulation) for the animals were surgically implanted (26, 27) at Charles River prior to shipping. On arrival at the housing facility, animals were acclimated prior to starting the study protocol. Animals were administered 150 mg/kg cefepime daily for 4 days as a single daily dose (as described below). All cefepime doses were administered through intravenous (i.v.) injection over 2 min via a dedicated internal jugular vein catheter. The dose chosen for this study allometrically scales to a humanized infusion of 24 mg/kg (28). Rats were housed in a light- and temperature-controlled room for the duration of the study and allowed free access to water and food, except during sampling. Data were analyzed for all animals that entered a protocol. When animals contributed incomplete data (i.e., early protocol termination), all available cefepime levels were analyzed for PK model build.

Chemicals and reagents.Animals were administered cefepime hydrochloride (Hospira, Lake Forest, IL [lot no. 144G005]) for injection. Artificial CSF (Tocris Bioscience, Bristol, UK) and normal saline (Abbott [lot no. C950212]) were used as in the sampling methods described below. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) standard curves were generated using commercially obtained cefepime hydrochloride (USP) (Chem-Impex International, Inc., Wood Dale, IL) with a purity of greater than 99.5%. Ceftazidime pentahydrate (Acros Organics, NJ) was used as an internal standard for the cefepime quantification. Formic acid was obtained from Thermo Fisher Scientific (Waltham, MA). Acetonitrile (BDH [lot no. 16I011254]) and methanol (BDH [lot no. 16L204024]) were obtained from VWR Analytical (Chicago, IL). Milli-Q water was obtained from Midwestern University via an Aqua Solutions water purification dispensatory. Frozen, nonmedicated, nonimmunized, pooled Sprague-Dawley rat plasma (anticoagulated with disodium EDTA) and CSF were used for calibration of standard curves (BioreclamationIVT, Westbury, NY).

Blood and CSF sampling.Blood samples were drawn from a single right-sided internal jugular vein catheter in a sedation-free manner when possible. CSF was collected via an intracisternal catheter. Isoflurane gas was used for temporary sedation when needed (5% initially, followed by 1 to 3% maintenance). Within the first 24 h, the target samplings were n = 5 blood and n = 2 CSF samples per animal. The full sampling strategy over the 4-day study can be found in Table 4.

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TABLE 4

Example of the staggered sampling schematic utilized for the study protocola

Each sample (0.25 ml blood and 0.05- to 0.1-ml CSF aliquots) was replaced with an equivalent volume of either normal saline or artificial CSF (as appropriate) to maintain euvolemia. Blood and CSF samples from cefepime-treated animals were processed similarly to previous reports (29, 30).

Determination of cefepime concentrations in plasma and CSF.Plasma and CSF concentrations of cefepime were quantified by LC-MS/MS using individual standard curves for each matrix. Milli-Q water containing 0.1% formic acid and acetonitrile (flow rate of 0.5 ml/min) were used as aqueous (A) and organic (B) solvents, respectively, at the following ramping transitions: 0.00 min A (90%) → B (10%), 1.50 min A (90%) → B (10%), 2.50 min A (10%) → B (90%), 5.40 min, A (10%) → B (90%), 5.50 min A (90%) → B (10%), and 10 min A (90%) → B (10%). Plasma and CSF sample volumes of 40 μl were combined with 4 μl of internal standard (10 μg/ml ceftazidime) and subjected to protein precipitation using 455 μl methanol plus 1% formic acid. Following centrifugation for 10 min at 16,000 × g (Eppendorf model 5424; Eppendorf AG, Barkhausenweg, Germany), 75 μl of the supernatant was collected and reserved for analysis. A Poroshell (3.0 × 100 mm, 2.7 μm) 120 EC-C18 column (Agilent Technologies, Inc., Santa Clara, CA) was utilized, with the column temperature held at 25°C for both analyses. Two microliters was injected into an Agilent 1260 LC attached to Agilent 6420 triple quadrupole mass spectrometer. Mass spectrometry analysis was conducted with electrospray ionization in positive mode (ESI+). The MS source conditions were as follows: gas temperature set to 350°C, gas flow set to 13 liters/min, nebulizer set at 40 lb/in2, fragmentor set at 68 and 78 V (for ceftazidime and cefepime, respectively), and cell accelerator voltage set at 4 V. Collision energies for the cefepime quantifier and qualifier were set at 30 and 10 eV. Ceftazidime collision energy was set at 10 eV. The following transitions (m/z) for cefepime and ceftazidime were identified and utilized: 241.1 → 84.1 for cefepime quantifier, 241.1→86.1 for cefepime qualifier, and 274.1 → 80.2 for cefepime quantifier. A weight of 1/x was applied to the regression analysis (31, 32). The assay was linear between plasma concentrations of 0.5 and 60 μg/ml (R2 = 0.998) and CSF concentrations of 0.125 and 40 μg/ml (R2 = 0.99). Precision was <7.6% for all measurements, including intra- and interassay measurements. Greater than 92% of the analyte was recovered in all samples tested, with overall mean assay accuracies of 100% for plasma and 98% for CSF. Any samples measuring above the upper limit were diluted with corresponding matrix so that the analyzed concentration was within range of the standard curve.

Cefepime PK model.The simplest base model considered was a 2-compartment model with a plasma compartment and a CSF compartment. Three- and four-compartment models with/without a lag constant were similarly fit (as described below) using the nonparametric adaptive grid (NPAG) algorithm within the Pmetrics package version 1.5.0 (Los Angeles, CA) for R version 3.2.1 (R Foundation for Statistical Computing, Vienna, Austria) (33, 34). The initial estimate of parameter weighting was accomplished using the inverse of the assay variance. The observation variance was proportional with a multiplicative (γ) model (error = standard deviation [SD] × γ) where SD = C0 + C1Y (with inputs for plasma at C0 = 0.25 and C1 = 0.15 and CSF at C0 = 0.0625 and C1 = 0.15 ng/ml and where Y = observed concentration). Model performance was quantitatively described using observed versus predicted concentrations to calculate bias, imprecision, and coefficients of determination (35). The final model was selected according to the lowest Akaike information criterion (AIC) score and the rule of parsimony.

Estimation of PK exposure and percentage of CSF penetration.The best-fit model was utilized to obtain median maximum a posteriori probability (MAP) Bayesian cefepime plasma and CSF concentration estimates at 12-min intervals over the 24-h study period using each animal’s measured cefepime concentrations, exact dose, and dosing schedule. Bayesian posteriors for each animal were used to determine plasma and CSF exposures over the first 24-h period (i.e., area under the curve from 0 to 24 h [AUC0–24]) using the “makeAUC” function within Pmetrics (Los Angeles, CA) (33, 36). The highest predicted concentration [Cmax 0–24] from the 12-min interval Bayesian estimates was determined to be each animal’s Cmax 0–24. The estimated cefepime PK exposures (AUC0–24 and Cmax 0–24) for plasma and CSF were used to calculate the percentage of penetration into the CSF for each animal (13–15). Tmax and t1/2 were obtained from the “makeNCA” function in Pmetrics as applied to the first 8-h period of Bayesian predicted concentrations. t1/2 was calculated as ln(2)/k for the last 3 predicted concentrations. Summary statistics were calculated using GraphPad Prism version 7.02 (GraphPad Software, Inc., La Jolla, CA). PK exposure measure variability was calculated as the coefficient of variation percentage (CV%).

The estimated cefepime PK exposures (AUC0–24 and Cmax 0–24) for plasma and CSF were used to calculate the percentage of penetration into the CSF for each animal. This method was used similar to previous studies (13–15, 25). Ratios of the estimated AUCCSF/AUCplasma and Cmax CSF/Cmax plasma were used for percentage of CSF penetration. Only animals with CSF concentrations sampled were used for estimation of CSF penetration.

ACKNOWLEDGMENTS

We thank the Midwestern University Core Facility for access to the LC-MS/MS utilized for this study.

Research reported in this article was supported by internal funding through a Midwestern University Chicago College of Pharmacy Research Stimulation Grant and access to equipment in the Midwestern University Core Facility.

FOOTNOTES

    • Received November 5, 2018.
    • Accepted January 3, 2019.

This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

REFERENCES

  1. 1.↵
    Centers for Disease Control and Prevention. 2013. Antibiotic resistance threats in the United States, 2013. https://www.cdc.gov/drugresistance/pdf/ar-threats-2013-508.pdf.
  2. 2.↵
    The White House. 2015. National Action Plan for combating antibiotic-resistant bacteria. https://obamawhitehouse.archives.gov/sites/default/files/docs/national_action_plan_for_combating_antibotic-resistant_bacteria.pdf.
  3. 3.↵
    The White House. 2014. Executive Order 13676: combating antibiotic-resistant bacteria. https://obamawhitehouse.archives.gov/the-press-office/2014/09/18/executive-order-combating-antibiotic-resistant-bacteria.
  4. 4.↵
    1. Esterly JS,
    2. Wagner J,
    3. McLaughlin MM,
    4. Postelnick MJ,
    5. Qi C,
    6. Scheetz MH
    . 2012. Evaluation of clinical outcomes in patients with bloodstream infections due to Gram-negative bacteria according to carbapenem MIC stratification. Antimicrob Agents Chemother 56:4885–4890. doi:10.1128/AAC.06365-11.
    OpenUrlAbstract/FREE Full Text
  5. 5.↵
    1. Rhodes NJ,
    2. Kuti JL,
    3. Nicolau DP,
    4. Neely MN,
    5. Nicasio AM,
    6. Scheetz MH
    . 2016. An exploratory analysis of the ability of a cefepime trough concentration greater than 22 mg/L to predict neurotoxicity. J Infect Chemother 22:78–83. doi:10.1016/j.jiac.2015.10.009.
    OpenUrlCrossRefPubMed
  6. 6.↵
    1. Rhodes NJ,
    2. Liu J,
    3. McLaughlin MM,
    4. Qi C,
    5. Scheetz MH
    . 2015. Evaluation of clinical outcomes in patients with Gram-negative bloodstream infections according to cefepime MIC. Diagn Microbiol Infect Dis 82:165–171. doi:10.1016/j.diagmicrobio.2015.03.005.
    OpenUrlCrossRefPubMed
  7. 7.↵
    1. Masich AM,
    2. Heavner MS,
    3. Gonzales JP,
    4. Claeys KC
    . 2018. Pharmacokinetic/pharmacodynamic considerations of beta-lactam antibiotics in adult critically ill patients. Curr Infect Dis Rep 20:9. doi:10.1007/s11908-018-0613-1.
    OpenUrlCrossRef
  8. 8.↵
    1. Tunkel AR,
    2. Hartman BJ,
    3. Kaplan SL,
    4. Kaufman BA,
    5. Roos KL,
    6. Scheld WM,
    7. Whitley RJ
    . 2004. Practice guidelines for the management of bacterial meningitis. Clin Infect Dis 39:1267–1284. doi:10.1086/425368.
    OpenUrlCrossRefPubMedWeb of Science
  9. 9.↵
    1. Lamoth F,
    2. Buclin T,
    3. Pascual A,
    4. Vora S,
    5. Bolay S,
    6. Decosterd LA,
    7. Calandra T,
    8. Marchetti O
    . 2010. High cefepime plasma concentrations and neurological toxicity in febrile neutropenic patients with mild impairment of renal function. Antimicrob Agents Chemother 54:4360–4367. doi:10.1128/AAC.01595-08.
    OpenUrlAbstract/FREE Full Text
  10. 10.↵
    1. Fugate JE,
    2. Kalimullah EA,
    3. Hocker SE,
    4. Clark SL,
    5. Wijdicks EF,
    6. Rabinstein AA
    . 2013. Cefepime neurotoxicity in the intensive care unit: a cause of severe, underappreciated encephalopathy. Crit Care 17:R264. doi:10.1186/cc13094.
    OpenUrlCrossRefPubMed
  11. 11.↵
    1. Zhang J,
    2. Huang C,
    3. Li H,
    4. Yao Q,
    5. Xu J,
    6. Yuan J,
    7. Qian J,
    8. Bao B
    . 2013. Antibiotic-induced neurotoxicity in dialysis patients: a retrospective study. Ren Fail 35:901–905. doi:10.3109/0886022X.2013.794684.
    OpenUrlCrossRefPubMed
  12. 12.↵
    FDA. 2012. FDA Drug Safety Communication: cefepime and risk of seizure in patients not receiving dosage adjustments for kidney impairment. https://www.fda.gov/Drugs/DrugSafety/ucm309661.htm#data. Accessed 16 August 2018.
  13. 13.↵
    1. Lodise TP, Jr,
    2. Rhoney DH,
    3. Tam VH,
    4. McKinnon PS,
    5. Drusano GL
    . 2006. Pharmacodynamic profiling of cefepime in plasma and cerebrospinal fluid of hospitalized patients with external ventriculostomies. Diagn Microbiol Infect Dis 54:223–230. doi:10.1016/j.diagmicrobio.2005.09.007.
    OpenUrlCrossRefPubMed
  14. 14.↵
    1. Tauber MG,
    2. Hackbarth CJ,
    3. Scott KG,
    4. Rusnak MG,
    5. Sande MA
    . 1985. New cephalosporins cefotaxime, cefpimizole, BMY 28142, and HR 810 in experimental pneumococcal meningitis in rabbits. Antimicrob Agents Chemother 27:340–342.
    OpenUrlAbstract/FREE Full Text
  15. 15.↵
    1. Tsai YH,
    2. Bies M,
    3. Leitner F,
    4. Kessler RE
    . 1990. Therapeutic studies of cefepime (BMY 28142) in murine meningitis and pharmacokinetics in neonatal rats. Antimicrob Agents Chemother 34:733–738.
    OpenUrlAbstract/FREE Full Text
  16. 16.↵
    1. Gerber CM,
    2. Cottagnoud M,
    3. Neftel K,
    4. Tauber MG,
    5. Cottagnoud P
    . 2000. Evaluation of cefepime alone and in combination with vancomycin against penicillin-resistant pneumococci in the rabbit meningitis model and in vitro. J Antimicrob Chemother 45:63–68.
    OpenUrlCrossRefPubMedWeb of Science
  17. 17.↵
    1. Rhoney DH,
    2. Tam VH,
    3. Parker D, Jr,
    4. McKinnon PS,
    5. Coplin WM
    . 2003. Disposition of cefepime in the central nervous system of patients with external ventricular drains. Pharmacotherapy 23:310–314. doi:10.1592/phco.23.3.310.32108.
    OpenUrlCrossRefPubMedWeb of Science
  18. 18.↵
    National Centre for the Replacement Refinement & Reduction of Animals in Research. 2018. The 3Rs. https://www.nc3rs.org.uk/the-3rs. Accessed 17 August 2018.
  19. 19.↵
    1. Loscher W
    . 2011. Critical review of current animal models of seizures and epilepsy used in the discovery and development of new antiepileptic drugs. Seizure 20:359–368. doi:10.1016/j.seizure.2011.01.003.
    OpenUrlCrossRefPubMedWeb of Science
  20. 20.↵
    1. Rasmussen BA,
    2. Baron DA,
    3. Kim JK,
    4. Unterwald EM,
    5. Rawls SM
    . 2011. β-Lactam antibiotic produces a sustained reduction in extracellular glutamate in the nucleus accumbens of rats. Amino Acids 40:761–764. doi:10.1007/s00726-010-0589-0.
    OpenUrlCrossRefPubMedWeb of Science
  21. 21.↵
    1. Okamoto MP,
    2. Nakahiro RK,
    3. Chin A,
    4. Bedikian A
    . 1993. Cefepime clinical pharmacokinetics. Clin Pharmacokinet 25:88–102. doi:10.2165/00003088-199325020-00002.
    OpenUrlCrossRefPubMedWeb of Science
  22. 22.↵
    1. Barbhaiya RH,
    2. Forgue ST,
    3. Shyu WC,
    4. Papp EA,
    5. Pittman KA
    . 1987. High-pressure liquid chromatographic analysis of BMY-28142 in plasma and urine. Antimicrob Agents Chemother 31:55–59.
    OpenUrlAbstract/FREE Full Text
  23. 23.↵
    1. Rhodes NJ,
    2. Kuti JL,
    3. Nicolau DP,
    4. Van Wart S,
    5. Nicasio AM,
    6. Liu J,
    7. Lee BJ,
    8. Neely MN,
    9. Scheetz MH
    . 2015. Defining clinical exposures of cefepime for Gram-negative bloodstream infections that are associated with improved survival. Antimicrob Agents Chemother 60:1401–1410. doi:10.1128/AAC.01956-15.
    OpenUrlCrossRefPubMed
  24. 24.↵
    1. Colclough N,
    2. Ruston L,
    3. Wood JM,
    4. MacFaul PA
    . 2014. Species differences in drug plasma protein binding. MedChemComm 5:963–967. doi:10.1039/C4MD00148F.
    OpenUrlCrossRef
  25. 25.↵
    1. Lutsar I,
    2. McCracken GH, Jr,
    3. Friedland IR
    . 1998. Antibiotic pharmacodynamics in cerebrospinal fluid. Clin Infect Dis 27:1117–1127, quiz 1128-1119.
    OpenUrlCrossRefPubMedWeb of Science
  26. 26.↵
    Charles River Laboratories International, Inc. 2018. Intracisternal cannulation. https://www.criver.com/sites/default/files/resource-files/intracisternal-cannulation.pdf.
  27. 27.↵
    Charles River Laboratories International, Inc. 2017. Jugular vein catheter surgery code: JUGVEIN. https://www.criver.com/sites/default/files/resource-files/jugular-vein-catheter.pdf.
  28. 28.↵
    US Department of Health and Human Services, Food and Drug Administration, Center for Drug Evaluation and Research (CDER). 2005. Guidance for industry: estimating the maximum safe starting dose in initial clinical trials for therapeutics in adult healthy volunteers. US Department of Health and Human Services, Food and Drug Administration, Center for Drug Evaluation and Research (CDER), Rockville, MD.
  29. 29.↵
    1. Tam VH,
    2. McKinnon PS,
    3. Akins RL,
    4. Drusano GL,
    5. Rybak MJ
    . 2003. Pharmacokinetics and pharmacodynamics of cefepime in patients with various degrees of renal function. Antimicrob Agents Chemother 47:1853–1861. doi:10.1128/AAC.47.6.1853-1861.2003.
    OpenUrlAbstract/FREE Full Text
  30. 30.↵
    1. Teunissen CE,
    2. Petzold A,
    3. Bennett JL,
    4. Berven FS,
    5. Brundin L,
    6. Comabella M,
    7. Franciotta D,
    8. Frederiksen JL,
    9. Fleming JO,
    10. Furlan R,
    11. Hintzen RQ,
    12. Hughes SG,
    13. Johnson MH,
    14. Krasulova E,
    15. Kuhle J,
    16. Magnone MC,
    17. Rajda C,
    18. Rejdak K,
    19. Schmidt HK,
    20. van Pesch V,
    21. Waubant E,
    22. Wolf C,
    23. Giovannoni G,
    24. Hemmer B,
    25. Tumani H,
    26. Deisenhammer F
    . 2009. A consensus protocol for the standardization of cerebrospinal fluid collection and biobanking. Neurology 73:1914–1922. doi:10.1212/WNL.0b013e3181c47cc2.
    OpenUrlCrossRefPubMed
  31. 31.↵
    1. Almeida AM,
    2. Castel-Branco MM,
    3. Falcão AC
    . 2002. Linear regression for calibration lines revisited: weighting schemes for bioanalytical methods. J Chromatogr B Analyt Technol Biomed Life Sci 774:215–222.
    OpenUrlCrossRefPubMedWeb of Science
  32. 32.↵
    US Department of Health and Human Services, Food and Drug Administration, Center for Drug Evaluation and Research (CDER), Center for Veterinary Medicine (CVM). 2018. Guidance for industry: bioanalytical method validation. https://www.fda.gov/downloads/drugs/guidances/ucm070107.pdf.
  33. 33.↵
    1. Neely MN,
    2. van Guilder MG,
    3. Yamada WM,
    4. Schumitzky A,
    5. Jelliffe RW
    . 2012. Accurate detection of outliers and subpopulations with Pmetrics, a nonparametric and parametric pharmacometric modeling and simulation package for R. Ther Drug Monit 34:467–476. doi:10.1097/FTD.0b013e31825c4ba6.
    OpenUrlCrossRefPubMedWeb of Science
  34. 34.↵
    1. Tatarinova T,
    2. Neely M,
    3. Bartroff J,
    4. van Guilder M,
    5. Yamada W,
    6. Bayard D,
    7. Jelliffe R,
    8. Leary R,
    9. Chubatiuk A,
    10. Schumitzky A
    . 2013. Two general methods for population pharmacokinetic modeling: non-parametric adaptive grid and non-parametric Bayesian. J Pharmacokinet Pharmacodyn 40:189–199. doi:10.1007/s10928-013-9302-8.
    OpenUrlCrossRefPubMed
  35. 35.↵
    1. Neely MN
    . 2015. Pmetrics user manual. Laboratory of Applied Pharmacokinetics and Bioinformatics, Children’s Hospital of Los Angeles, University of Southern California, Los Angeles, CA. http://www.lapk.org/software/Pmetrics/PM_User_manual.pdf. Accessed 17 August 2018.
  36. 36.↵
    1. Rhodes NJ,
    2. Prozialeck WC,
    3. Lodise TP,
    4. Venkatesan N,
    5. O'Donnell JN,
    6. Pais G,
    7. Cluff C,
    8. Lamar PC,
    9. Neely MN,
    10. Gulati A,
    11. Scheetz MH
    . 2016. Evaluation of vancomycin exposures associated with elevations in novel urinary biomarkers of acute kidney injury in vancomycin-treated rats. Antimicrob Agents Chemother 60:5742–5751. doi:10.1128/AAC.00591-16.
    OpenUrlAbstract/FREE Full Text
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KEYWORDS

cefepime
cerebral spinal fluid
pharmacokinetics

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