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Systematic review of factors influencing length of stay in ICU after adult cardiac surgery

BACKGROUND: Intensive care unit (ICU) care is associated with costly and often scarce resources. In many parts of the world, ICUs are being perceived as major bottlenecks limiting downstream services such as operating theatres. There are many clinical, surgical and contextual factors that influence...

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Autores principales: Almashrafi, Ahmed, Elmontsri, Mustafa, Aylin, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4966741/
https://www.ncbi.nlm.nih.gov/pubmed/27473872
http://dx.doi.org/10.1186/s12913-016-1591-3
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author Almashrafi, Ahmed
Elmontsri, Mustafa
Aylin, Paul
author_facet Almashrafi, Ahmed
Elmontsri, Mustafa
Aylin, Paul
author_sort Almashrafi, Ahmed
collection PubMed
description BACKGROUND: Intensive care unit (ICU) care is associated with costly and often scarce resources. In many parts of the world, ICUs are being perceived as major bottlenecks limiting downstream services such as operating theatres. There are many clinical, surgical and contextual factors that influence length of stay. Knowing these factors can facilitate resource planning. However, the extent at which this knowledge is put into practice remains unclear. The aim of this systematic review was to identify factors that impact the duration of ICU stay after cardiac surgery and to explore evidence on the link between understanding these factors and patient and resource management. METHODS: We conducted electronic searches of Embase, PubMed, ISI Web of Knowledge, Medline and Google Scholar, and reference lists for eligible studies. RESULTS: Twenty-nine papers fulfilled inclusion criteria. We recognised two types of objectives for identifying influential factors of ICU length of stay (LOS) among the reviewed studies. These were general descriptions of predictors and prediction of prolonged ICU stay through statistical models. Among studies with prediction models, only two studies have reported their implementation. Factors most commonly associated with increased ICU LOS included increased age, atrial fibrillation/ arrhythmia, chronic obstructive pulmonary disease (COPD), low ejection fraction, renal failure/ dysfunction and non-elective surgery status. CONCLUSION: Cardiac ICUs are major bottlenecks in many hospitals around the world. Efforts to optimise resources should be linked to patient and surgical characteristics. More research is needed to integrate patient and surgical factors into ICU resource planning.
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spelling pubmed-49667412016-07-30 Systematic review of factors influencing length of stay in ICU after adult cardiac surgery Almashrafi, Ahmed Elmontsri, Mustafa Aylin, Paul BMC Health Serv Res Research Article BACKGROUND: Intensive care unit (ICU) care is associated with costly and often scarce resources. In many parts of the world, ICUs are being perceived as major bottlenecks limiting downstream services such as operating theatres. There are many clinical, surgical and contextual factors that influence length of stay. Knowing these factors can facilitate resource planning. However, the extent at which this knowledge is put into practice remains unclear. The aim of this systematic review was to identify factors that impact the duration of ICU stay after cardiac surgery and to explore evidence on the link between understanding these factors and patient and resource management. METHODS: We conducted electronic searches of Embase, PubMed, ISI Web of Knowledge, Medline and Google Scholar, and reference lists for eligible studies. RESULTS: Twenty-nine papers fulfilled inclusion criteria. We recognised two types of objectives for identifying influential factors of ICU length of stay (LOS) among the reviewed studies. These were general descriptions of predictors and prediction of prolonged ICU stay through statistical models. Among studies with prediction models, only two studies have reported their implementation. Factors most commonly associated with increased ICU LOS included increased age, atrial fibrillation/ arrhythmia, chronic obstructive pulmonary disease (COPD), low ejection fraction, renal failure/ dysfunction and non-elective surgery status. CONCLUSION: Cardiac ICUs are major bottlenecks in many hospitals around the world. Efforts to optimise resources should be linked to patient and surgical characteristics. More research is needed to integrate patient and surgical factors into ICU resource planning. BioMed Central 2016-07-29 /pmc/articles/PMC4966741/ /pubmed/27473872 http://dx.doi.org/10.1186/s12913-016-1591-3 Text en © The Author(s). 2016 Open AccessThis 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
Almashrafi, Ahmed
Elmontsri, Mustafa
Aylin, Paul
Systematic review of factors influencing length of stay in ICU after adult cardiac surgery
title Systematic review of factors influencing length of stay in ICU after adult cardiac surgery
title_full Systematic review of factors influencing length of stay in ICU after adult cardiac surgery
title_fullStr Systematic review of factors influencing length of stay in ICU after adult cardiac surgery
title_full_unstemmed Systematic review of factors influencing length of stay in ICU after adult cardiac surgery
title_short Systematic review of factors influencing length of stay in ICU after adult cardiac surgery
title_sort systematic review of factors influencing length of stay in icu after adult cardiac surgery
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4966741/
https://www.ncbi.nlm.nih.gov/pubmed/27473872
http://dx.doi.org/10.1186/s12913-016-1591-3
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