Antibiotic Strategy for the Treatment of Infections in Specific Populations
A special issue of Antibiotics (ISSN 2079-6382).
Deadline for manuscript submissions: 30 June 2024 | Viewed by 2379
Special Issue Editor
2. Department of Clinical Pharmaceutics, Mie University Graduate School of Medicine, Mie 5148507, Japan
3. Department of Clinical Infectious Diseases, Aichi Medical University, Aichi 4801195, Japan
Interests: infections and antibiotic use; efficacy and safety of antibiotics; antibiotic resistance; PK/PD study; animal infectious model; meta-analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recently, international and domestic guidelines for appropriate selection and dosage of antimicrobial agents have undergone revision. A central component of its appropriate use is involved in pharmacokinetics/pharmacodynamics (PK/PD) theory. This theory considers the appropriate dosage and administration methods on the basis of the pharmacokinetics of drugs and the characteristics of each drug based on blood concentration of drugs; this information is used to determine the method of administration of antimicrobial agents. However, the PK/PD parameters such as area under the curve (AUC)/minimum inhibitory concentration (MIC), Cmax/MIC, and time above MIC need to be investigated since there is limited number of studies targeting patients with specific backgrounds. The absence of work is particularly marked with regard to patients receiving renal replacement therapy, children, elderly, and so on. In addition, despite huge difference in PK among infections, antibiotics are constant in dosage. Therefore, the ideal antibiotic strategy for use in these specific populations is controversial.
We welcome papers reporting original data from epidemiologic studies, as well as systematic reviews and meta analyses, especially those providing novel antibiotic strategies designed to overcome resistant pathogens in patients receiving renal replacement therapy.
Dr. Hideo Kato
Guest Editor
Manuscript Submission Information
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