The health and economic burden of bloodstream infections caused by antimicrobial-susceptible and non-susceptible Enterobacteriaceae and Staphylococcus aureus in European hospitals , 2010 and 2011

Citation for published version (APA): Stewardson, A. J., Allignol, A., Beyersmann, J., Graves, N., Schumacher, M., Meyer, R., ... TIMBER Study Group (2016). The health and economic burden of bloodstream infections caused by antimicrobial-susceptible and non-susceptible Enterobacteriaceae and Staphylococcus aureus in European hospitals, 2010 and 2011: a multicentre retrospective cohort study. Eurosurveillance, 21(33), 1-12. [Article 2]. https://doi.org/10.2807/15607917.ES.2016.21.33.30319

[1]  S. Gandra,et al.  Economic burden of antibiotic resistance: how much do we really know? , 2014, Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases.

[2]  N. Graves,et al.  Valuation of Hospital Bed-Days Released by Infection Control Programs: A Comparison of Methods , 2014, Infection Control & Hospital Epidemiology.

[3]  Martin Schumacher,et al.  Incidence in ICU populations: how to measure and report it? , 2014, Intensive Care Medicine.

[4]  H. Goossens,et al.  Antibiotic resistance—the need for global solutions , 2013, BDJ.

[5]  Han Lin Shang,et al.  The BUGS book: a practical introduction to Bayesian analysis , 2013 .

[6]  P. Woerther,et al.  Trends in Human Fecal Carriage of Extended-Spectrum β-Lactamases in the Community: Toward the Globalization of CTX-M , 2013, Clinical Microbiology Reviews.

[7]  M. D. Kraker,et al.  The changing epidemiology of bacteraemias in Europe: trends from the European Antimicrobial Resistance Surveillance System. , 2013, Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases.

[8]  L. Leibovici,et al.  Long-term consequences of severe infections. , 2013, Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases.

[9]  E. Lingaas,et al.  Secular trends in nosocomial bloodstream infections: antibiotic-resistant bacteria increase the total burden of infection. , 2013, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[10]  Richard Smith,et al.  The true cost of antimicrobial resistance , 2013, BMJ.

[11]  J. Schrenzel,et al.  Burden of Bloodstream Infection Caused by Extended-Spectrum β-Lactamase–Producing Enterobacteriaceae Determined Using Multistate Modeling at a Swiss University Hospital and a Nationwide Predictive Model , 2013, Infection Control & Hospital Epidemiology.

[12]  M. Bonten,et al.  Effects of confounders and intermediates on the association of bacteraemia caused by extended-spectrum β-lactamase-producing Enterobacteriaceae and patient outcome: a meta-analysis. , 2012, The Journal of antimicrobial chemotherapy.

[13]  Martin Schumacher,et al.  Competing Risks and Multistate Models with R , 2011 .

[14]  P. Davey,et al.  Clinical Impact of Antimicrobial Resistance in European Hospitals: Excess Mortality and Length of Hospital Stay Related to Methicillin-Resistant Staphylococcus aureus Bloodstream Infections , 2011, Antimicrobial Agents and Chemotherapy.

[15]  Martin Schumacher,et al.  Application of multistate models in hospital epidemiology: Advances and challenges , 2011, Biometrical journal. Biometrische Zeitschrift.

[16]  P. Davey,et al.  Burden of antimicrobial resistance in European hospitals: excess mortality and length of hospital stay associated with bloodstream infections due to Escherichia coli resistant to third-generation cephalosporins. , 2011, The Journal of antimicrobial chemotherapy.

[17]  P. Davey,et al.  Clinical Impact of Antimicrobial Resistance in European Hospitals: Excess Mortality and Length of Hospital Stay Related to Methicillin-Resistant Staphylococcus aureus Bloodstream Infections , 2011, Antimicrobial Agents and Chemotherapy.

[18]  K. Mertens,et al.  Clinical outcomes of health-care-associated infections and antimicrobial resistance in patients admitted to European intensive-care units: a cohort study. , 2011, The Lancet. Infectious diseases.

[19]  Stephan Harbarth,et al.  Estimating the cost of health care-associated infections: mind your p's and q's. , 2010, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[20]  Maja Pohar Perme,et al.  Pseudo-observations in survival analysis , 2010, Statistical methods in medical research.

[21]  R. Weinstein,et al.  Recommendations For Metrics For Multidrug-Resistant Organisms In Healthcare Settings: SHEA/HICPAC Position Paper , 2008, Infection Control & Hospital Epidemiology.

[22]  Martin Schumacher,et al.  Transmission-associated nosocomial infections: prolongation of intensive care unit stay and risk factor analysis using multistate models. , 2008, American journal of infection control.

[23]  S. Pocock,et al.  Strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies , 2007, BMJ : British Medical Journal.

[24]  Hugo Sax,et al.  Administrative data outperformed single-day chart review for comorbidity measure. , 2007, International journal for quality in health care : journal of the International Society for Quality in Health Care.

[25]  H. Quan,et al.  Coding Algorithms for Defining Comorbidities in ICD-9-CM and ICD-10 Administrative Data , 2005, Medical care.

[26]  Nicholas Graves,et al.  Economics and Preventing Hospital-acquired Infection , 2004, Emerging infectious diseases.

[27]  A S Kosinski,et al.  A comparison of the Charlson comorbidity index derived from medical record data and administrative billing data. , 1999, Journal of clinical epidemiology.

[28]  C. Mackenzie,et al.  A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. , 1987, Journal of chronic diseases.

[29]  S. Zeger,et al.  Longitudinal data analysis using generalized linear models , 1986 .

[30]  Ren Johansen An Empirical Transition Matrix for Non-homogeneous Markov Chains Based on Censored Observations , 1978 .