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      Is Open Access

      Will 10 Million People Die a Year due to Antimicrobial Resistance by 2050?

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          Abstract

          Marlieke de Kraker and colleagues reflect on the need for better global estimates for the burden of antimicrobial resistance.

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          Benchmarking the incidence and mortality of severe sepsis in the United States.

          In 1992, the first consensus definition of severe sepsis was published. Subsequent epidemiologic estimates were collected using administrative data, but ongoing discrepancies in the definition of severe sepsis produced large differences in estimates. We seek to describe the variations in incidence and mortality of severe sepsis in the United States using four methods of database abstraction. We hypothesized that different methodologies of capturing cases of severe sepsis would result in disparate estimates of incidence and mortality. Using a nationally representative sample, four previously published methods (Angus et al, Martin et al, Dombrovskiy et al, and Wang et al) were used to gather cases of severe sepsis over a 6-year period (2004-2009). In addition, the use of new International Statistical Classification of Diseases, 9th Edition (ICD-9), sepsis codes was compared with previous methods. Annual national incidence and in-hospital mortality of severe sepsis. The average annual incidence varied by as much as 3.5-fold depending on method used and ranged from 894,013 (300/100,000 population) to 3,110,630 (1,031/100,000) using the methods of Dombrovskiy et al and Wang et al, respectively. Average annual increase in the incidence of severe sepsis was similar (13.0% to 13.3%) across all methods. In-hospital mortality ranged from 14.7% to 29.9% using abstraction methods of Wang et al and Dombrovskiy et al. Using all methods, there was a decrease in in-hospital mortality across the 6-year period (35.2% to 25.6% [Dombrovskiy et al] and 17.8% to 12.1% [Wang et al]). Use of ICD-9 sepsis codes more than doubled over the 6-year period (158,722 - 489,632 [995.92 severe sepsis], 131,719 - 303,615 [785.52 septic shock]). There is substantial variability in incidence and mortality of severe sepsis depending on the method of database abstraction used. A uniform, consistent method is needed for use in national registries to facilitate accurate assessment of clinical interventions and outcome comparisons between hospitals and regions.
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            Hospital-acquired infections--appropriate statistical treatment is urgently needed!

            Research on hospital-acquired infections (HAIs) requires the highest methodological standards to minimize the risk of bias and to avoid misleading interpretation. There are two major issues related specifically to studies in this area, namely the timing of infection and the occurrence of so-called competing risks, which deserve special attention. Just as a patient who acquires a serious infection during hospital admission needs appropriate antibiotic treatment, data being collected in studies on hospital-acquired infections need appropriate statistical analysis. We illustrate the urgent need for appropriate statistical treatment of hospital-acquired infections with some examples from recently conducted studies.The considerations presented are relevant for investigations on risk factors for HAIs as well as for outcome studies.
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              Comparative cost of selective screening to prevent transmission of methicillin-resistant Staphylococcus aureus (MRSA), compared with the attributable costs of MRSA infection.

              The annual cost of a screening program to detect methicillin-resistant Staphylococcus aureus (MRSA) in a teaching hospital in Spain was 10,261 Euro. The average cost per MRSA infection was 2,730 Euro; therefore, the cost of the program would be covered if it only prevented 4 infections per year (11% of the total number of MRSA infections at our hospital).
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                Author and article information

                Journal
                PLoS Med
                PLoS Med
                plos
                plosmed
                PLoS Medicine
                Public Library of Science (San Francisco, CA USA )
                1549-1277
                1549-1676
                29 November 2016
                November 2016
                : 13
                : 11
                : e1002184
                Affiliations
                [1 ]Infection Control Program, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland
                [2 ]Infectious Diseases Department, Austin Health, Heidelberg, Australia
                Author notes

                I have read the journal's policy and have the following conflicts to report: SH and AJS participated in an investigator-initiated study on the burden of antimicrobial resistance (TIMBER) supported by an unrestricted research grant provided by Pfizer Europe and bioMérieux. SH is also a member of the Editorial Board of PLOS Medicine. AJS is an employee of Hand Hygiene Australia, a national quality improvement program, and is a member of the Healthcare Associated Infection Advisory Committee of the Australian Commission for Safety and Quality in Healthcare.

                Author information
                http://orcid.org/0000-0003-0903-8614
                http://orcid.org/0000-0001-6805-1224
                Article
                PMEDICINE-D-16-02737
                10.1371/journal.pmed.1002184
                5127510
                27898664
                6e059a44-a140-492b-ba8a-264aeb6f81a6
                © 2016 de Kraker et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                Page count
                Figures: 1, Tables: 1, Pages: 6
                Funding
                For MdK and SH, the research leading to this viewpoint has received support from the Innovative Medicines Initiative Joint Undertaking under grant agreements nos. 115523, 115620, and 115737 (Combatting Bacterial Resistance in Europe projects [COMBACTE]), resources of which are composed of financial contribution from the European Union's 7th Framework Programme (FP7/2007–2013) and the European Federation of Pharmaceutical Industries and Associations (EFPIA) companies’ in kind contribution. The funders had no role in data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Essay
                Biology and Life Sciences
                Microbiology
                Microbial Control
                Antimicrobial Resistance
                Medicine and Health Sciences
                Pharmacology
                Antimicrobial Resistance
                People and Places
                Demography
                Death Rates
                Biology and Life Sciences
                Population Biology
                Population Metrics
                Death Rates
                Medicine and Health Sciences
                Hematology
                Bloodstream Infections
                Medicine and Health Sciences
                Health Care
                Health Care Facilities
                Hospitals
                Medicine and Health Sciences
                Pulmonology
                Respiratory Infections
                Lower Respiratory Tract Infections
                Medicine and Health Sciences
                Public and Occupational Health
                Biology and life sciences
                Organisms
                Bacteria
                Staphylococcus
                Staphylococcus aureus
                Methicillin-resistant Staphylococcus aureus
                Biology and life sciences
                Microbiology
                Medical microbiology
                Microbial pathogens
                Bacterial pathogens
                Staphylococcus
                Staphylococcus aureus
                Methicillin-resistant Staphylococcus aureus
                Medicine and health sciences
                Pathology and laboratory medicine
                Pathogens
                Microbial pathogens
                Bacterial pathogens
                Staphylococcus
                Staphylococcus aureus
                Methicillin-resistant Staphylococcus aureus
                Physical Sciences
                Mathematics
                Statistics (Mathematics)
                Confidence Intervals

                Medicine
                Medicine

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