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defined daily dose

Antimicrobial drug consumption in the Russian Federation (2008–2022): pharmacoepidemiological study

Objective. To assess the dynamics of antimicrobial drug consumption in the Russian Federation. Materials and Methods. Data on antimicrobials for systemic use (ATC class J01) sales for the period 2008–2022 in the hospital and outpatient segment were downloaded from the IQVIA database. The absolute quantities of purchased antimicrobials were transferred to the defined daily doses (DDD) separately for the outpatient and hospital segments for each year of observation. Results. Over the period 2008-2022 there was an increase in antimicrobials consumption from 9.

Integrated analysis of antibiotic consumption in the hospital segment of Saint-Petersburg in 2014–2018

Objective. To estimate composite indicators of systemic antibiotic consumption in the hospital segment of Saint-Petersburg in 2014–2018. Materials and Methods. Information on the volume and structure of AMP consumption in the hospital segment of St. Petersburg in 2014–2018 was obtained from AlfaRm Databases. The amount of purchased AMP was recalculated in the number of average daily maintenance doses (Defined Daily Dose, DDDs), as well as DDDs per 100 bed-days (DDDh) for each international nonproprietary name of AMP.

Simulation of bacterial resistance for different antibiotic consumption strategies based on the Escherichia coli resistance to cephalosporins

Objective. Objectives. To research the qualitative relationships between the level of antimicrobial resistance and the level of consumption of different antimicrobial agents, and to further apply this knowledge to minimize the level of resistance. Materials and Methods. An extensive simulation was performed based on the previously implemented model describing the relationship between a resistance and levels of antibiotic consumption. It makes possible to estimate the resistance growth rates in different antibiotic consumption strategies.

Prognostic Model of Microbial Resistance Based on the Relationship between Antibiotic Resistance and Consumption

Acquired bacterial resistance is one of the leading causes of morbidity and mortality attributed to infectious diseases. Simulations may provide opportunity to predict further spread of resistance and, to some extent, manage it. The objective of this …