Literature DB >> 24038717

Hospital-acquired infections--appropriate statistical treatment is urgently needed!

Martin Schumacher1, Arthur Allignol, Jan Beyersmann, Nadine Binder, Martin Wolkewitz.   

Abstract

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.

Entities:  

Keywords:  Hospital-acquired infections; cohort studies; competing risks; length bias; time-dependent bias

Mesh:

Year:  2013        PMID: 24038717     DOI: 10.1093/ije/dyt111

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  31 in total

1.  Commentary: Back to the future with Sir Bradford Hill: statistical analysis with hospital-acquired infections.

Authors:  Michelle Shardell; Nicholas G Reich; Eli N Perencevich
Journal:  Int J Epidemiol       Date:  2013-09-14       Impact factor: 7.196

2.  Incidence in ICU populations: how to measure and report it?

Authors:  Jan Beyersmann; Petra Gastmeier; Martin Schumacher
Journal:  Intensive Care Med       Date:  2014-05-10       Impact factor: 17.440

Review 3.  Methods and issues in studies of CRE.

Authors:  Scott R Evans; Anthony D Harris
Journal:  Virulence       Date:  2016-07-28       Impact factor: 5.882

4.  The impact of hospital-acquired infections on the patient-level reimbursement-cost relationship in a DRG-based hospital payment system.

Authors:  Klaus Kaier; Martin Wolkewitz; Philip Hehn; Nico T Mutters; Thomas Heister
Journal:  Int J Health Econ Manag       Date:  2019-06-05

5.  Assessing Noninferiority in Treatment Trials for Severe Infectious Diseases: an Extension to the Entire Follow-Up Period Using a Cure-Death Multistate Model.

Authors:  Harriet Sommer; Tobias Bluhmki; Jan Beyersmann; Martin Schumacher
Journal:  Antimicrob Agents Chemother       Date:  2017-12-21       Impact factor: 5.191

Review 6.  Expanding the statistical toolbox: analytic approaches for cohort studies with healthcare-associated infectious outcomes.

Authors:  Rebecca A Pierce; Justin Lessler; Aaron M Milstone
Journal:  Curr Opin Infect Dis       Date:  2015-08       Impact factor: 4.915

7.  Disease burden, associated mortality and economic impact of antimicrobial resistant infections in Australia.

Authors:  Teresa M Wozniak; Amalie Dyda; Greg Merlo; Lisa Hall
Journal:  Lancet Reg Health West Pac       Date:  2022-07-07

8.  Avoidable statistical pitfalls in analyzing length of stay in intensive care units or hospitals.

Authors:  Martin Wolkewitz
Journal:  Crit Care       Date:  2014-02-19       Impact factor: 9.097

9.  The magnitude and duration of Clostridium difficile infection risk associated with antibiotic therapy: a hospital cohort study.

Authors:  Kevin A Brown; David N Fisman; Rahim Moineddin; Nick Daneman
Journal:  PLoS One       Date:  2014-08-26       Impact factor: 3.240

10.  Mortality review as a tool to assess the contribution of healthcare-associated infections to death: results of a multicentre validity and reproducibility study, 11 European Union countries, 2017 to 2018.

Authors:  Tjallie van der Kooi; Alain Lepape; Pascal Astagneau; Carl Suetens; Mioara Alina Nicolaie; Sabine de Greeff; Ilma Lozoraitiene; Jacek Czepiel; Márta Patyi; Diamantis Plachouras
Journal:  Euro Surveill       Date:  2021-06
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.