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Validation of END-of-life ScorING-system to identify the dying patient: a prospective analysis
BACKGROUND: The “END-of-Life ScorING-System” (ENDING-S) was previously developed to identify patients at high-risk of dying in the ICU and to facilitate a practical integration between palliative and intensive care. The aim of this study is to prospectively validate ENDING-S in a cohort of long-term...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7068991/ https://www.ncbi.nlm.nih.gov/pubmed/32164567 http://dx.doi.org/10.1186/s12871-020-00979-y |
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author | Villa, Gianluca Amass, Timothy Giua, Rosa Lanini, Iacopo Chelazzi, Cosimo Tofani, Lorenzo McFadden, Rory De Gaudio, A. Raffaele OMahony, Sean Levy, Mitchell M. Romagnoli, Stefano |
author_facet | Villa, Gianluca Amass, Timothy Giua, Rosa Lanini, Iacopo Chelazzi, Cosimo Tofani, Lorenzo McFadden, Rory De Gaudio, A. Raffaele OMahony, Sean Levy, Mitchell M. Romagnoli, Stefano |
author_sort | Villa, Gianluca |
collection | PubMed |
description | BACKGROUND: The “END-of-Life ScorING-System” (ENDING-S) was previously developed to identify patients at high-risk of dying in the ICU and to facilitate a practical integration between palliative and intensive care. The aim of this study is to prospectively validate ENDING-S in a cohort of long-term critical care patients. MATERIALS AND METHODS: Adult long-term ICU patients (with a length-of-stay> 4 days) were considered for this prospective multicenter observational study. ENDING-S and SOFA score were calculated daily and evaluated against the patient’s ICU outcome. The predictive properties were evaluated through a receiver operating characteristic (ROC) analysis. RESULTS: Two hundred twenty patients were enrolled for this study. Among these, 21.46% died during the ICU stay. ENDING-S correctly predicted the ICU outcome in 71.4% of patients. Sensitivity, specificity, positive and negative predictive values associated with the previously identified ENDING-S cut-off of 11.5 were 68.1, 72.3, 60 and 89.3%, respectively. ROC-AUC for outcome prediction was 0.79 for ENDING-S and 0.88 for SOFA in this cohort. CONCLUSIONS: ENDING-S, while not as accurately as in the pilot study, demonstrated acceptable discrimination properties in identifying long-term ICU patients at very high-risk of dying. ENDING-S may be a useful tool aimed at facilitating a practical integration between palliative, end-of-life and intensive care. TRIAL REGISTRATION: Clinicaltrials.gov Identifier: NCT02875912; First registration August 4, 2016. |
format | Online Article Text |
id | pubmed-7068991 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70689912020-03-18 Validation of END-of-life ScorING-system to identify the dying patient: a prospective analysis Villa, Gianluca Amass, Timothy Giua, Rosa Lanini, Iacopo Chelazzi, Cosimo Tofani, Lorenzo McFadden, Rory De Gaudio, A. Raffaele OMahony, Sean Levy, Mitchell M. Romagnoli, Stefano BMC Anesthesiol Research Article BACKGROUND: The “END-of-Life ScorING-System” (ENDING-S) was previously developed to identify patients at high-risk of dying in the ICU and to facilitate a practical integration between palliative and intensive care. The aim of this study is to prospectively validate ENDING-S in a cohort of long-term critical care patients. MATERIALS AND METHODS: Adult long-term ICU patients (with a length-of-stay> 4 days) were considered for this prospective multicenter observational study. ENDING-S and SOFA score were calculated daily and evaluated against the patient’s ICU outcome. The predictive properties were evaluated through a receiver operating characteristic (ROC) analysis. RESULTS: Two hundred twenty patients were enrolled for this study. Among these, 21.46% died during the ICU stay. ENDING-S correctly predicted the ICU outcome in 71.4% of patients. Sensitivity, specificity, positive and negative predictive values associated with the previously identified ENDING-S cut-off of 11.5 were 68.1, 72.3, 60 and 89.3%, respectively. ROC-AUC for outcome prediction was 0.79 for ENDING-S and 0.88 for SOFA in this cohort. CONCLUSIONS: ENDING-S, while not as accurately as in the pilot study, demonstrated acceptable discrimination properties in identifying long-term ICU patients at very high-risk of dying. ENDING-S may be a useful tool aimed at facilitating a practical integration between palliative, end-of-life and intensive care. TRIAL REGISTRATION: Clinicaltrials.gov Identifier: NCT02875912; First registration August 4, 2016. BioMed Central 2020-03-09 /pmc/articles/PMC7068991/ /pubmed/32164567 http://dx.doi.org/10.1186/s12871-020-00979-y Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
spellingShingle | Research Article Villa, Gianluca Amass, Timothy Giua, Rosa Lanini, Iacopo Chelazzi, Cosimo Tofani, Lorenzo McFadden, Rory De Gaudio, A. Raffaele OMahony, Sean Levy, Mitchell M. Romagnoli, Stefano Validation of END-of-life ScorING-system to identify the dying patient: a prospective analysis |
title | Validation of END-of-life ScorING-system to identify the dying patient: a prospective analysis |
title_full | Validation of END-of-life ScorING-system to identify the dying patient: a prospective analysis |
title_fullStr | Validation of END-of-life ScorING-system to identify the dying patient: a prospective analysis |
title_full_unstemmed | Validation of END-of-life ScorING-system to identify the dying patient: a prospective analysis |
title_short | Validation of END-of-life ScorING-system to identify the dying patient: a prospective analysis |
title_sort | validation of end-of-life scoring-system to identify the dying patient: a prospective analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7068991/ https://www.ncbi.nlm.nih.gov/pubmed/32164567 http://dx.doi.org/10.1186/s12871-020-00979-y |
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