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...
| Publicado en: | Studies in Health Technology & Informatics Vol. 262; pp. 180 - 184 |
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| Autores principales: | , , , , , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=137369818&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 137369818 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09269630 U1V jtl: Studies in Health Technology & Informatics issn: 09269630 maglogo: N pubinfo: dt: 2019 vid: 262 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 137369818 137369818 137369818 10.3233/SHTI190047 137369818 ppf: 180 ppct: 4 formats: tig: atl: Using Microbiological Data Analysis to Tackle Antibiotic Resistance of Klebsiella Pneumoniae. aug: au: FERETZAKIS, Georgios LOUPELIS, Evangelos PETROPOULOU, Stavroula CHRISTOPOULOS, Constantinos LADA, Malvina MARTSOUKOU, Maria SKARMOUTSOU, Nikoleta SAKAGIANNI, Katerina MICHELIDOU, Sophia VELENTZA, Katerina VALAKIS, Konstantinos KOUTALAS, Emmanouil affil: School of Science and Technology, Hellenic Open University, Patras, Greece sug: subj: Klebsiella Immunology Cross Infection Microbiology Drug Resistance, Microbial Human Greece Prospective Studies Data Analysis Software Univariate Statistics Analysis of Variance Post Hoc Analysis Klebsiella Infections Drug Therapy Cross Infection Drug Therapy Antibiotics Therapeutic Use Drug Resistance, Multiple Antimicrobial Stewardship Microbial Culture and Sensitivity Tests Database Management Software Utilization ab: 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. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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