Using Microbiological Data Analysis to Tackle Antibiotic Resistance of Klebsiella Pneumoniae.

Optimal antibiotic use for the treatment of nosocomial infections plays a central role in the effort to control the rapidly increasing prevalence of multidrugresistant bacteria. Antibiotic selection should be based on accurate knowledge of local susceptibility rates. Traditional methods of resistanc...

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Detalles Bibliográficos
Publicado en:Studies in Health Technology & Informatics Vol. 262; pp. 180 - 184
Autores principales: FERETZAKIS, Georgios, LOUPELIS, Evangelos, PETROPOULOU, Stavroula, CHRISTOPOULOS, Constantinos, LADA, Malvina, MARTSOUKOU, Maria, SKARMOUTSOU, Nikoleta, SAKAGIANNI, Katerina, MICHELIDOU, Sophia, VELENTZA, Katerina, VALAKIS, Konstantinos, KOUTALAS, Emmanouil
Formato: research tables/charts Journal Article
Publicado: Sage Publications Inc. 2019
Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:Optimal antibiotic use for the treatment of nosocomial infections plays a central role in the effort to control the rapidly increasing prevalence of multidrugresistant bacteria. Antibiotic selection should be based on accurate knowledge of local susceptibility rates. Traditional methods of resistance reporting, which are in routine use by microbiology laboratories could be enhanced by using statistically significant results. We present a method of reporting based on antibiotic susceptibility data analysis which offers an accurate tool that reduces clinician uncertainty and enables optimization of the antibiotic selection process.