Cargando…

Estimands to quantify prolonged hospital stay associated with nosocomial infections

BACKGROUND: Length of stay evaluations are very common to determine the burden of nosocomial infections. However, there exist fundamentally different methods to quantify the prolonged length of stay associated with nosocomial infections. Previous methodological studies emphasized the need to account...

Descripción completa

Detalles Bibliográficos
Autores principales: Wolkewitz, Martin, Schumacher, Martin, Rücker, Gerta, Harbarth, Stephan, Beyersmann, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6544970/
https://www.ncbi.nlm.nih.gov/pubmed/31151418
http://dx.doi.org/10.1186/s12874-019-0752-6
_version_ 1783423324211118080
author Wolkewitz, Martin
Schumacher, Martin
Rücker, Gerta
Harbarth, Stephan
Beyersmann, Jan
author_facet Wolkewitz, Martin
Schumacher, Martin
Rücker, Gerta
Harbarth, Stephan
Beyersmann, Jan
author_sort Wolkewitz, Martin
collection PubMed
description BACKGROUND: Length of stay evaluations are very common to determine the burden of nosocomial infections. However, there exist fundamentally different methods to quantify the prolonged length of stay associated with nosocomial infections. Previous methodological studies emphasized the need to account for the timing of infection in order to differentiate the length of stay before and after the infection. METHODS: We derive four different approaches in a simple multi-state framework, display their mathematical relationships in a multiplicative as well as additive way and apply them to a real cohort study (n=756 German intensive-care unit patients of whom 124 patients acquired a nosocomial infection). RESULTS: The first approach ignores the timing of infection and quantifies the difference of eventually infected and eventually uninfected; it is 12.31 days in the real data. The second approach compares the average sojourn time with infection with the average sojourn time of being hypothetically uninfected; it is 2.12 days. The third one compares the average length of stay of a population in a world with nosocomial infections with a population in a hypothetical world without nosocomial infections; it is 0.35 days. Finally, approach four compares the mean residual length of stay between currently infected and uninfected patients on a daily basis; the difference is 1.77 days per infected patient. CONCLUSIONS: The first approach should be avoided because it compares the eventually infected with the eventually uninfected, but has no prospective interpretation. The other approaches differ in their interpretation but are suitable because they explicitly distinguish between the pre- and post-time of the nosocomial infection.
format Online
Article
Text
id pubmed-6544970
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-65449702019-06-04 Estimands to quantify prolonged hospital stay associated with nosocomial infections Wolkewitz, Martin Schumacher, Martin Rücker, Gerta Harbarth, Stephan Beyersmann, Jan BMC Med Res Methodol Research Article BACKGROUND: Length of stay evaluations are very common to determine the burden of nosocomial infections. However, there exist fundamentally different methods to quantify the prolonged length of stay associated with nosocomial infections. Previous methodological studies emphasized the need to account for the timing of infection in order to differentiate the length of stay before and after the infection. METHODS: We derive four different approaches in a simple multi-state framework, display their mathematical relationships in a multiplicative as well as additive way and apply them to a real cohort study (n=756 German intensive-care unit patients of whom 124 patients acquired a nosocomial infection). RESULTS: The first approach ignores the timing of infection and quantifies the difference of eventually infected and eventually uninfected; it is 12.31 days in the real data. The second approach compares the average sojourn time with infection with the average sojourn time of being hypothetically uninfected; it is 2.12 days. The third one compares the average length of stay of a population in a world with nosocomial infections with a population in a hypothetical world without nosocomial infections; it is 0.35 days. Finally, approach four compares the mean residual length of stay between currently infected and uninfected patients on a daily basis; the difference is 1.77 days per infected patient. CONCLUSIONS: The first approach should be avoided because it compares the eventually infected with the eventually uninfected, but has no prospective interpretation. The other approaches differ in their interpretation but are suitable because they explicitly distinguish between the pre- and post-time of the nosocomial infection. BioMed Central 2019-05-31 /pmc/articles/PMC6544970/ /pubmed/31151418 http://dx.doi.org/10.1186/s12874-019-0752-6 Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Wolkewitz, Martin
Schumacher, Martin
Rücker, Gerta
Harbarth, Stephan
Beyersmann, Jan
Estimands to quantify prolonged hospital stay associated with nosocomial infections
title Estimands to quantify prolonged hospital stay associated with nosocomial infections
title_full Estimands to quantify prolonged hospital stay associated with nosocomial infections
title_fullStr Estimands to quantify prolonged hospital stay associated with nosocomial infections
title_full_unstemmed Estimands to quantify prolonged hospital stay associated with nosocomial infections
title_short Estimands to quantify prolonged hospital stay associated with nosocomial infections
title_sort estimands to quantify prolonged hospital stay associated with nosocomial infections
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6544970/
https://www.ncbi.nlm.nih.gov/pubmed/31151418
http://dx.doi.org/10.1186/s12874-019-0752-6
work_keys_str_mv AT wolkewitzmartin estimandstoquantifyprolongedhospitalstayassociatedwithnosocomialinfections
AT schumachermartin estimandstoquantifyprolongedhospitalstayassociatedwithnosocomialinfections
AT ruckergerta estimandstoquantifyprolongedhospitalstayassociatedwithnosocomialinfections
AT harbarthstephan estimandstoquantifyprolongedhospitalstayassociatedwithnosocomialinfections
AT beyersmannjan estimandstoquantifyprolongedhospitalstayassociatedwithnosocomialinfections