Literature DB >> 24817028

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

Jan Beyersmann1, Petra Gastmeier, Martin Schumacher.   

Abstract

Incidence of ICU events is mostly measured in one of two ways which differ by the denominator only. Either the number of incident events divided by the number of ICU patients is reported or the number of incident events per 1,000 ICU days is calculated. The difference is relevant, but a connection is rarely made. We give an example where pneumonia diagnosis on admission has no effect on one measure of mortality incidence, but increases the other. We demonstrate how to connect the two measures of incidence. The conclusion is that so-called 'competing incidences' should also be reported.

Entities:  

Mesh:

Year:  2014        PMID: 24817028     DOI: 10.1007/s00134-014-3279-7

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN: 0342-4642            Impact factor:   17.440


  16 in total

Review 1.  Logistic or Cox model to identify risk factors of nosocomial infection: still a controversial issue.

Authors:  S Chevret
Journal:  Intensive Care Med       Date:  2001-10       Impact factor: 17.440

2.  Comparison of different methodological approaches to identify risk factors of nosocomial infection in intensive care units.

Authors:  J de Irala-Estévez; D Martínez-Concha; C Díaz-Molina; J Masa-Calles; A Serrano del Castillo; R Fernández-Crehuet Navajas
Journal:  Intensive Care Med       Date:  2001-08       Impact factor: 17.440

3.  Attributable mortality of ventilator-associated pneumonia: respective impact of main characteristics at ICU admission and VAP onset using conditional logistic regression and multi-state models.

Authors:  Molière Nguile-Makao; Jean-Ralph Zahar; Adrien Français; Alexis Tabah; Maité Garrouste-Orgeas; Bernard Allaouchiche; Dany Goldgran-Toledano; Elie Azoulay; Christophe Adrie; Samir Jamali; Christophe Clec'h; Bertrand Souweine; Jean-Francois Timsit
Journal:  Intensive Care Med       Date:  2010-03-16       Impact factor: 17.440

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

Authors:  Martin Schumacher; Arthur Allignol; Jan Beyersmann; Nadine Binder; Martin Wolkewitz
Journal:  Int J Epidemiol       Date:  2013-09-14       Impact factor: 7.196

5.  Time-dependent covariates in the proportional subdistribution hazards model for competing risks.

Authors:  Jan Beyersmann; Martin Schumacher
Journal:  Biostatistics       Date:  2008-04-22       Impact factor: 5.899

Review 6.  Application of multistate models in hospital epidemiology: advances and challenges.

Authors:  Jan Beyersmann; Martin Wolkewitz; Arthur Allignol; Nadine Grambauer; Martin Schumacher
Journal:  Biom J       Date:  2011-01-14       Impact factor: 2.207

7.  Incidence densities in a competing events analysis.

Authors:  Nadine Grambauer; Martin Schumacher; Markus Dettenkofer; Jan Beyersmann
Journal:  Am J Epidemiol       Date:  2010-09-03       Impact factor: 4.897

8.  Statistical evaluation of ventilator-free days as an efficacy measure in clinical trials of treatments for acute respiratory distress syndrome.

Authors:  David A Schoenfeld; Gordon R Bernard
Journal:  Crit Care Med       Date:  2002-08       Impact factor: 7.598

9.  Comparison of three methods for estimating rates of adverse events and rates of preventable adverse events in acute care hospitals.

Authors:  Philippe Michel; Jean Luc Quenon; Anne Marie de Sarasqueta; Olivier Scemama
Journal:  BMJ       Date:  2004-01-24

10.  Ventilator-associated pneumonia: caveats for benchmarking.

Authors:  Philippe Eggimann; Stéphane Hugonnet; Hugo Sax; Sylvie Touveneau; Jean-Claude Chevrolet; Didier Pittet
Journal:  Intensive Care Med       Date:  2003-09-03       Impact factor: 17.440

View more
  3 in total

1.  Citrate versus heparin anticoagulation for continuous renal replacement therapy: an updated meta-analysis of RCTs.

Authors:  Ming Bai; Meilan Zhou; Lijie He; Feng Ma; Yangping Li; Yan Yu; Pengbo Wang; Li Li; Rui Jing; Lijuan Zhao; Shiren Sun
Journal:  Intensive Care Med       Date:  2015-12       Impact factor: 17.440

2.  The ecological effects of selective decontamination of the digestive tract (SDD) on antimicrobial resistance: a 21-year longitudinal single-centre study.

Authors:  Sophie Buitinck; Rogier Jansen; Saskia Rijkenberg; Jos P J Wester; Rob J Bosman; Nardo J M van der Meer; Peter H J van der Voort
Journal:  Crit Care       Date:  2019-06-07       Impact factor: 9.097

3.  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.

Authors:  Andrew J Stewardson; Arthur Allignol; Jan Beyersmann; Nicholas Graves; Martin Schumacher; Rodolphe Meyer; Evelina Tacconelli; Giulia De Angelis; Claudio Farina; Fabio Pezzoli; Xavier Bertrand; Houssein Gbaguidi-Haore; Jonathan Edgeworth; Olga Tosas; Jose A Martinez; M Pilar Ayala-Blanco; Angelo Pan; Alessia Zoncada; Charis A Marwick; Dilip Nathwani; Harald Seifert; Nina Hos; Stefan Hagel; Mathias Pletz; Stephan Harbarth
Journal:  Euro Surveill       Date:  2016-08-18
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.