A case of recovery from aphasia following dose reduction of cefepime by bayesian prediction-based therapeutic drug monitoring
A case of recovery from aphasia following dose reduction of cefepime by bayesian prediction-based therapeutic drug monitoring
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DOI:
10.1016/j.jiac.2019.10.006
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发表时间:
2020-05-01
影响因子:
2.2
通讯作者:
Saito, Hideyuki
中科院分区:
文献类型:
--
作者:
Oda, Kazutaka;Miyakawa, Toshikazu;Saito, Hideyuki
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. (c) 2019 Japanese Society of Chemotherapy and The Japanese Association for Infectious Diseases. Published by Elsevier Ltd. All rights reserved.