Teicoplanin

BACKGROUND: Teicoplanin is a glycopeptide antibiotic that has been used to treat serious, invasive infections caused by Gram-positive bacteria. The area under the drug concentration-time curve (AUC)/minimum inhibitory concentration (MIC) was identified as a pharmacokinetic-pharmacodynamic (PK-PD) parameter of glycopeptide antibiotics that correlated with bacteriological responses and clinical outcomes. Although optimized dosing regimens based on PK-PD are needed, a PK-PD analysis of teicoplanin against methicillin-resistant Staphylococcus aureus (MRSA) infections has not yet been performed. Thus, this study examined patients with MRSA infections, who were administered with teicoplanin in order to determine the target AUC/MIC ratio.

Background Target trough concentrations are recommended for teicoplanin (TEIC) to minimize its adverse effects and to maximize efficacy in sepsis caused by grampositive cocci, including methicillin-resistant Staphylococcus aureus infection. However, optimal doses to attain proper trough values in patients with sepsis have not yet been well established for TEIC. Objective This study investigated whether the systemic inflammatory response syndrome (SIRS) score could predict the pharmacokinetics of TEIC in patients with sepsis. Setting This study was conducted at Fukuoka University Hospital in Japan. Methods We retrospectively reviewed the records of patients using TEIC between April 2012 and March 2015. SIRS positive was defined as infection with a SIRS score ≥2. Estimates of pharmacokinetic parameters were calculated using a Bayesian method. Creatinine clearance rates were estimated by the Cockcroft-Gault formula (eCcr). Main outcome measure Change of TEIC loading dose requirement for incremental increases of SIRS score.