mortality and hospital stay associated with resistant staphylococcus aureus and escherichia coli bacteremia estimating the burden of antibiotic resistance in europe死亡率和住院与耐药金黄色葡萄球菌和大肠杆菌菌血症估计在欧洲抗生素耐药性的负担.pdfVIP
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mortality and hospital stay associated with resistant staphylococcus aureus and escherichia coli bacteremia estimating the burden of antibiotic resistance in europe死亡率和住院与耐药金黄色葡萄球菌和大肠杆菌菌血症估计在欧洲抗生素耐药性的负担
Mortality and Hospital Stay Associated with Resistant Staphylococcus aureus and Escherichia coli Bacteremia: Estimating the Burden of Antibiotic Resistance in Europe 1,2 3 1,2 Marlieke E. A. de Kraker *, Peter G. Davey , Hajo Grundmann , on behalf of the BURDEN study group 1 Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands, 2 Department of Medical Microbiology, Academic Medical Centre Groningen, Groningen, The Netherlands, 3 Quality, Safety and Informatics Research Group, Dundee, United Kingdom Abstract Background: The relative importance of human diseases is conventionally assessed by cause-specific mortality, morbidity, and economic impact. Current estimates for infections caused by antibiotic-resistant bacteria are not sufficiently supported by quantitative empirical data. This study determined the excess number of deaths, bed-days, and hospital costs associated with blood stream infections (BSIs) caused by methicillin-resistant Staphylococcus aureus (MRSA) and third-generation cephalosporin-resistant Escherichia coli (G3CREC) in 31 countries that participated in the European Antimicrobial Resistance Surveillance System (EARSS). Methods and Findings: The number of BSIs caused by MRSA and G3CREC was extrapolated from EARSS prevalence data and national health care statistics. Prospective cohort studies, carried out in hospitals participating in EARSS in 2007, provided the parameters for estimating the excess 30-d mortality and hospital stay associated with BSIs caused by either MRSA or G3CREC. Hospital expenditure was derived from a publicly available cost model. Trends established by EARSS were used
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