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Risk prediction of ICU readmission in a mixed surgical and medical population
BACKGROUND: Readmission to intensive care units (ICU) is accompanied with longer ICU stay as well as higher ICU, in-hospital and 30-day mortality. Different scoring systems have been used in order to predict and reduce readmission rates. METHODS: The purpose of this study was to evaluate the Stabili...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4495798/ https://www.ncbi.nlm.nih.gov/pubmed/26157581 http://dx.doi.org/10.1186/s40560-015-0096-1 |
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author | Kareliusson, Frida De Geer, Lina Tibblin, Anna Oscarsson |
author_facet | Kareliusson, Frida De Geer, Lina Tibblin, Anna Oscarsson |
author_sort | Kareliusson, Frida |
collection | PubMed |
description | BACKGROUND: Readmission to intensive care units (ICU) is accompanied with longer ICU stay as well as higher ICU, in-hospital and 30-day mortality. Different scoring systems have been used in order to predict and reduce readmission rates. METHODS: The purpose of this study was to evaluate the Stability and Workload Index for Transfer (SWIFT) score as a predictor of readmission. Further, we wanted to study steps and measures taken at the ward prior to readmission. RESULTS: This was a retrospective study conducted at the mixed surgical and medical ICU at Linköping University Hospital. One thousand sixty-seven patients >18 years were admitted to the ICU during 2 years and were included in the study. During the study period, 27 patients were readmitted to the ICU. Readmitted patients had a higher SWIFT score than the non-readmitted (16.1 ± 6.8 vs. 13.0 ± 7.5, p = 0.03) at discharge. The total ICU length of stay was longer (7.5 ± 7.5 vs. 2.9 ± 5.1, p = 0.004), and the 30-day mortality was higher (26 vs. 7 %, p < 0.001) for readmitted patients. Fifty-six percent of readmitted patients were assessed by the critical care outreach service (CCOS) at the ward prior to ICU readmission. A SWIFT score of 15 or more was associated with a significantly higher readmission rate (p = 0.03) as well as 30-day mortality (p < 0.001) compared to a score of ≤14. CONCLUSIONS: A SWIFT score of 15 or more is associated with higher readmission rate and 30-day mortality. The SWIFT score could therefore be used for risk prediction for readmission and mortality at ICU discharge. |
format | Online Article Text |
id | pubmed-4495798 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44957982015-07-09 Risk prediction of ICU readmission in a mixed surgical and medical population Kareliusson, Frida De Geer, Lina Tibblin, Anna Oscarsson J Intensive Care Research Article BACKGROUND: Readmission to intensive care units (ICU) is accompanied with longer ICU stay as well as higher ICU, in-hospital and 30-day mortality. Different scoring systems have been used in order to predict and reduce readmission rates. METHODS: The purpose of this study was to evaluate the Stability and Workload Index for Transfer (SWIFT) score as a predictor of readmission. Further, we wanted to study steps and measures taken at the ward prior to readmission. RESULTS: This was a retrospective study conducted at the mixed surgical and medical ICU at Linköping University Hospital. One thousand sixty-seven patients >18 years were admitted to the ICU during 2 years and were included in the study. During the study period, 27 patients were readmitted to the ICU. Readmitted patients had a higher SWIFT score than the non-readmitted (16.1 ± 6.8 vs. 13.0 ± 7.5, p = 0.03) at discharge. The total ICU length of stay was longer (7.5 ± 7.5 vs. 2.9 ± 5.1, p = 0.004), and the 30-day mortality was higher (26 vs. 7 %, p < 0.001) for readmitted patients. Fifty-six percent of readmitted patients were assessed by the critical care outreach service (CCOS) at the ward prior to ICU readmission. A SWIFT score of 15 or more was associated with a significantly higher readmission rate (p = 0.03) as well as 30-day mortality (p < 0.001) compared to a score of ≤14. CONCLUSIONS: A SWIFT score of 15 or more is associated with higher readmission rate and 30-day mortality. The SWIFT score could therefore be used for risk prediction for readmission and mortality at ICU discharge. BioMed Central 2015-06-26 /pmc/articles/PMC4495798/ /pubmed/26157581 http://dx.doi.org/10.1186/s40560-015-0096-1 Text en © Kareliusson et al. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 Kareliusson, Frida De Geer, Lina Tibblin, Anna Oscarsson Risk prediction of ICU readmission in a mixed surgical and medical population |
title | Risk prediction of ICU readmission in a mixed surgical and medical population |
title_full | Risk prediction of ICU readmission in a mixed surgical and medical population |
title_fullStr | Risk prediction of ICU readmission in a mixed surgical and medical population |
title_full_unstemmed | Risk prediction of ICU readmission in a mixed surgical and medical population |
title_short | Risk prediction of ICU readmission in a mixed surgical and medical population |
title_sort | risk prediction of icu readmission in a mixed surgical and medical population |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4495798/ https://www.ncbi.nlm.nih.gov/pubmed/26157581 http://dx.doi.org/10.1186/s40560-015-0096-1 |
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