Evaluating omadacycline dosing regimens against drug-resistant pathogens including Staphylococcus aureus , Streptococcus pneumoniae and Haemophilus influenzae in adults: a pharmacokinetic/pharmacodynamic analysis using Monte Carlo simulation.
Xiao-Chen WeiMing-Feng ZhaoXia XiaoPublished in: Journal of chemotherapy (Florence, Italy) (2024)
The objective of this study was to evaluate the efficacy of various dosing regimens of omadacycline against main drug-resistant pathogens in the treatment of acute bacterial skin and skin structure infections (ABSSSI) and community-acquired bacterial pneumonia (CABP). Monte Carlo simulations were conducted using pharmacokinetic parameters and pharmacodynamic data to calculate cumulative fractions of response (CFRs) in terms of drug area under the concentration curve/minimum inhibition concentration targets.CFR ≥ 90% was considered optimal for a dosage regimen. CFR of any approved oral/intravenous regimen with loading-dose was ≥ 90% against methicillin-resistant Staphylococcus aureus (MRSA) for ABSSSI and penicillin-resistant Streptococcus pneumonia , tetracycline-resistant Streptococcus pneumonia , MRSA and β -lactamase positive Haemophilus influenzae for CABP. In conclusion, approved oral/intravenous loading and maintenance doses of omadacycline showed enough efficacy in the treatment of ABSSI and CABP caused by the main drug-resistant pathogens.
Keyphrases
- drug resistant
- methicillin resistant staphylococcus aureus
- monte carlo
- multidrug resistant
- staphylococcus aureus
- gram negative
- acinetobacter baumannii
- biofilm formation
- respiratory failure
- klebsiella pneumoniae
- healthcare
- escherichia coli
- high dose
- antimicrobial resistance
- mental health
- candida albicans
- soft tissue
- machine learning
- molecular dynamics
- liver failure
- intensive care unit
- wound healing
- low dose
- emergency department
- acute respiratory distress syndrome
- community acquired pneumonia
- replacement therapy
- hepatitis b virus
- big data
- drug administration
- artificial intelligence