Thiamylal serum concentration for refractory convulsive status epilepticus while associated decreased concentrations of concomitant antiepileptics: a case report.

BACKGROUND: Treating refractory status epilepticus (RSE) remains a challenge. Thiamylal can be used as a second- or third-line treatment; however, its potential to induce cytochrome P450 (CYP) activity may reduce the concentration of antiepileptic drugs (AEDs) administered prior to thiamylal. This report details a case of RSE patient treated with thiamylal, with monitored concentrations of thiamylal and other AEDs. CASE PRESENTATION: A 72-year-old healthy man developed RSE. Despite the administration of various AEDs, his seizures were not resolved. Thiamylal was then administered at an initial bolus dose of 2.1 mg/kg, followed by a continuous infusion of 4.2-5.2 mg/kg/h. The initial thiamylal concentration was observed at 7.8 µg/mL, increasing to 35.2 µg/mL before decreasing after dose reduction and cessation. Concurrently, the concentration of concomitant carbamazepine decreased from 5.59 µg/mL to 2.1 µg/mL and recovered as thiamylal concentration decreased. Lesser impacts were noted for other AEDs. CONCLUSIONS: This case report underscored the efficacy of thiamylal in treating RSE. However, it also highlighted the need for clinicians to closely monitor the concentrations of concurrent AEDs, especially carbamazepine, during thiamylal therapy.

Validation and development of population pharmacokinetic model of vancomycin using a real-world database from a nationwide free web application.

INTRODUCTION: Vancomycin requires a population pharmacokinetic (popPK) model to estimate the area under the concentration-time curve (AUC), and an AUC-guided dosing strategy is necessary. This study aimed to develop a popPK model for vancomycin using a real-world database pooled from a nationwide web application (PAT). METHODS: In this retrospective study, the PAT database between December 14, 2022 and April 6, 2023 was used to develop a popPK model. The model was validated and compared with six existing models based on the predictive performance of datasets from another PAT database and the Kumamoto University Hospital. The developed model determined the dosing strategy for achieving the target AUC. RESULTS: The modeling populations consisted of 7146 (13,372 concentrations from the PAT database), 3805 (7540 concentrations from the PAT database), and 783 (1775 concentrations from Kumamoto University Hospital) individuals. A two-compartment popPK model was developed that incorporated creatinine clearance as a covariate for clearance and body weight for central and peripheral volumes of distribution. The validation demonstrated that the popPK model exhibited the smallest mean absolute prediction error of 5.07, outperforming others (ranging from 5.10 to 5.83). The dosing strategies suggested a first dose of 30 mg/kg and maintenance doses adjusted for kidney function and age. CONCLUSIONS: This study demonstrated the updating of PAT through the validation and development of a popPK model using a vast amount of data collected from anonymous PAT users.

Clinical evaluation of an authorized medical equipment based on high performance liquid chromatography for measurement of serum voriconazole concentration.

BACKGROUND: Therapeutic drug monitoring for voriconazole is recommended for its optimum pharmacotherapy. Although the feedback of the measurement result of serum voriconazole concentration by outsourcing needs a certain time (days within a 1 week), there was no medical equipment for the measurement available in clinical practice. Recently, a medical equipment based on high performance liquid chromatography, named LM1010, has been developed and authorized for clinical use. In this study, to validate the clinical performance of LM1010, we compared the measured serum voriconazole concentrations by LM1010 with those by outsourcing measurement using liquid chromatography-tandem mass spectrometry. METHODS: We conducted the observational study approved by the institutional review board of Kumamoto University Hospital (No. 1786). Residual serum samples harvested for therapeutic drug monitoring were separated. Measured concentrations by LM1010 by the standard filter method (needs serum volume of > 400 µL) or the dilute method (needs serum volume of 150 µL) were compared with those by outsourcing, respectively. Acceptable measurement error range of 0.72-1.33 was considered. There were 69 serum samples, where the 35 or 34 samples were employed for evaluation of the standard filter method or the dilute method, respectively. RESULTS: The measured concentration using the standard filter method/outsourcing was 2.22/2.10 µg/mL as the median, 1.57-3.40/1.53-3.62 as the interquartile range, < 0.2-10.76/< 0.2-11.46 µg/mL as the range, while those using the dilute method/outsourcing was 2.36/2.29 µg/mL as the median, 1.08-2.94/1.03-3.06 as the interquartile range, 0.24-10.00/< 0.2-10.85 µg/mL as the range. The regression line for the standard filter method or the dilute method were y = 0.935x + 0.154 or y = 0.933x + 0.162, respectively. The standard filter method or the dilute method showed 11.4% samples (4/35, 95%CI 3.2-26.7%) or 8.8% samples (3/34, 95%CI 1.9-23.7%) out of the acceptable measurement error range, respectively. CONCLUSION: Measurement of serum voriconazole concentration by LM1010 can be acceptable in clinical TDM practice.

Lowered Risk of Nephrotoxicity through Intervention against the Combined Use of Vancomycin and Tazobactam/Piperacillin: A Retrospective Cohort Study.

The combined use of vancomycin (VCM) and tazobactam/piperacillin (TAZ/PIPC) is a major risk factor for nephrotoxicity. We sought to evaluate interventions against the combined use of VCM and TAZ/PIPC. This retrospective cohort study involved patients who considered the combined use of VCM and TAZ/PIPC as a treatment. Patients that had either or both antimicrobials replaced were assigned to the intervention group, whereas those who were continued on combination therapy were assigned to the comparison group. The primary endpoint was the incidence of acute kidney injury (AKI). The survival rate of patients on day 30 was evaluated as the secondary endpoint. The comparison and intervention groups were composed of 65 and 68 patients, respectively, and the incidence rates of AKI were 44.6% and 17.6%, respectively. Cox proportional hazard analysis identified the intervention as the only independent factor against AKI development, with a hazard ratio of 0.282 (95% confidence interval [CI], 0.141 to 0.565). For the incidence of AKI of grade greater than 1, the hazard ratio was 0.114 (95% CI, 0.025 to 0.497). The survival rates on day 30 in the comparison and intervention groups were 92.3% and 91.2%, respectively, with a relative risk of 0.988 (95% CI, 0.892 to 1.094). The trough VCM concentration was not associated with the incidence of AKI in patients receiving the combination therapy. This study demonstrated that intervention against the combined use of VCM and TAZ/PIPC can lower the risk of nephrotoxicity. IMPORTANCE The combined use of vancomycin (VCM) and tazobactam/piperacillin (TAZ/PIPC) is a major risk factor for nephrotoxicity. We retrospectively evaluated interventions against the combined use of VCM and TAZ/PIPC. Patients for whom either or both antimicrobials were replaced were assigned to the intervention group (65 patients), whereas those who were continued on combination therapy were assigned to the comparison group (68 patients). The primary endpoint was the incidence of acute kidney injury (AKI). The incidence rates of AKI in the intervention and comparison groups were 44.6% and 17.6%, respectively. Cox proportional hazard analysis identified intervention as the only independent factor against AKI development, with a hazard ratio of 0.282 (95% confidence interval [CI], 0.141 to 0.565). In conclusion, this study demonstrated that intervention against the combined use of VCM and TAZ/PIPC can lower the risk of nephrotoxicity.

Clinical evaluation of cefotiam in the treatment of bacteremia caused by Escherichia coli, Klebsiella species, and Proteus mirabilis: A retrospective study.

Bacteremia is often caused by gram-negative bacteria (represented by EKP; Escherichia coli, Klebsiella species, and Proteus mirabilis), and the excessive use of cefazolin, as the first-line antimicrobial in its treatment, has been a source of concern in the emergence of resistant strains. As an antimicrobial, cefotiam may be an alternative to cefazolin; however, little evidence is available for its use in the treatment of bacteremia. The purpose of this non-inferiority study was to retrospectively compare the therapeutic efficacy of cefotiam with some antimicrobials of narrow spectrum (cefazolin, cefmetazole, and flomoxef) in the treatment of EKP-induced bacteremia. The number of patients recruited was 32 in the cefotiam group and 29 in the control group. In the primary endpoint, the survival rate on day 28 for the cefotiam group and the control group was 93.5% and 89.3%, respectively (relative risk at day 28, 1.048; 95% confidence interval, 0.894-1.227). In the secondary end point, treatment success rate in the two groups was 71.9% and 69.0%, respectively (relative risk, 1.042; 95% confidence interval, 0.752-1.445). Intensive care unit admission, low body weight, hypoalbuminemia, and infections unassociated with the urinary tract were identified to be the risk factors responsible for treatment failure. We demonstrated cefotiam may be non-inferior to other antimicrobials of similar spectrum, in terms of survival rate, in EKP-induced bacteremia.

A case of recovery from aphasia following dose reduction of cefepime by bayesian prediction-based therapeutic drug monitoring.

Cefepime is known to exert bactericidal activity against Pseudomonas aeruginosa. Cefepime-induced neurotoxicity, most likely caused by increased exposure, has recently become a major concern in clinical practice; therefore, appropriate dose reduction of cefepime should be applied with respect to patients with low cefepime clearance (mostly eliminated by the kidneys). Here, we report a case in which Bayesian prediction-based therapeutic drug monitoring (Bayes-TDM) was effectively used to reduce the dose of cefepime in a patient with pneumonia to prevent neurotoxic complications. A woman (age: 59 years, body weight: 32.5 kg, serum creatinine concentration: 1.02 mg/dL) developed pneumonia caused by P. aeruginosa while receiving treatment for scleroderma and systemic lupus erythematosus. She started treatment with a dosing regimen of 1.0 g of cefepime every 8 h (day X). On day X+5, aphasia developed, and the serum cefepime concentration was 71.3 mg/L at trough. This concentration was twice or thrice higher than the reported safe concentration of cefepime (22 or 35 mg/L at trough). Therefore, we reduced the dose of cefepime to 0.5 g every 12 h using Bayes-TDM from day X+7. As a result, the severity of aphasia decreased by day X+10, and this dose was successfully continued up to day X+13 without further adjustment. In conclusion, individualizing doses by Bayes-TDM may be useful in preventing adverse effects associated with cefepime treatment.

Development and evaluation of a vancomycin dosing nomogram to achieve the target area under the concentration-time curve. A retrospective study.

Although the superiority of vancomycin dosing based on area under the concentration-time curve (AUC0-24) over that based on trough concentration has been reported, a dosing strategy to achieve the target AUC0-24 has yet to be developed. The objective of this study was to develop a convenient useable nomogram for vancomycin dosing to obtain the target AUC0-24 (400 µg h/mL). The nomogram was pharmacokinetically developed in a retrospective manner. The number of enrolled patients and concentrations was 166 and 309 for development of the nomogram, 99 and 181 for evaluation of the nomogram, respectively. The nomogram was developed as doses per personal body weight corresponding to each range of estimated glomerular filtration rate (eGFR), which was identified to be the covariate for vancomycin clearance by non-linear mixed effect modeling. The nomogram described the surrogate trough concentration for the target AUC0-24 was calculatedly different for each eGFR range (9.3-15.0 µg/mL). The rate of attainment of therapeutic range using surrogate trough concentration to obtain the target AUC0-24 was 63.8% in the evaluation period. We have developed and evaluated the first convenient useable nomogram of vancomycin dosing to obtain the target AUC0-24.

Continuous high-dose infusion of doripenem in a pneumonia patient infected by carbapenem-resistant Pseudomonas aeruginosa: a case report.

BACKGROUND: Despite the high mortality of patients with sepsis and carbapenem-resistant bacteria infection, appropriate antimicrobial therapies are yet to be established. Here, we have reported the case of a patient with pneumonia that subsequently developed by carbapenem-resistant Pseudomonas aeruginosa infection and was treated with a continuous high-dose infusion of doripenem. CASE PRESENTATION: We started a continuous intravenous infusion of doripenem 3 g/day although the 59-year-old woman (body weight, 45 kg) had developed septic acute kidney injury, followed by continuous renal replacement therapy (the effluent flow rate was 650 mL/h). The minimum inhibitory concentration (MIC) of doripenem was 8 mg/L. The concentration of unbound doripenem in the serum was measured by using high-performance liquid chromatography. Twenty hours after the initial dose, the patient's serum level of doripenem was 47.8 µg/mL; the level decreased to 33.6 µg/mL at 111 h after initial dosing. The unbound doripenem concentration in the serum was maintained four times above the MIC throughout the treatment. After the completion of 11 days of dosing, the patient was discharged from the intensive care unit. During the treatment period, the MIC remained at 8 mg/L. CONCLUSIONS: A continuous high-dose infusion of doripenem is a potentially efficient strategy for the treatment of antimicrobial-resistant bacteria. Moreover, therapeutic drug monitoring may be useful for patients displaying variable pharmacokinetics, because the MIC is generally high in resistant bacteria.