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
暂无分享,去创建一个
M. Schumacher | N. Graves | J. Beyersmann | F. Pezzoli | H. Seifert | A. Allignol | S. Hagel | E. Tacconelli | J. Edgeworth | A. Pan | X. Bertrand | R. Meyer | A. Zoncada | H. Gbaguidi-Haore | A. Stewardson | Farina | D. Nathwani | M. Pletz | N. Hos | O. Tosas | C. Marwick | G. Angelis | JA Martínez | M. Ayala-Blanco
[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 .