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The role of clinical phenotypes in decisions to limit life-sustaining treatment for very old patients in the ICU
BACKGROUND: Limiting life-sustaining treatment (LST) in the intensive care unit (ICU) by withholding or withdrawing interventional therapies is considered appropriate if there is no expectation of beneficial outcome. Prognostication for very old patients is challenging due to the substantial biologi...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10170430/ https://www.ncbi.nlm.nih.gov/pubmed/37162595 http://dx.doi.org/10.1186/s13613-023-01136-7 |
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author | Mousai, Oded Tafoureau, Lola Yovell, Tamar Flaatten, Hans Guidet, Bertrand Beil, Michael de Lange, Dylan Leaver, Susannah Szczeklik, Wojciech Fjolner, Jesper Nachshon, Akiva van Heerden, Peter Vernon Joskowicz, Leo Jung, Christian Hyams, Gal Sviri, Sigal |
author_facet | Mousai, Oded Tafoureau, Lola Yovell, Tamar Flaatten, Hans Guidet, Bertrand Beil, Michael de Lange, Dylan Leaver, Susannah Szczeklik, Wojciech Fjolner, Jesper Nachshon, Akiva van Heerden, Peter Vernon Joskowicz, Leo Jung, Christian Hyams, Gal Sviri, Sigal |
author_sort | Mousai, Oded |
collection | PubMed |
description | BACKGROUND: Limiting life-sustaining treatment (LST) in the intensive care unit (ICU) by withholding or withdrawing interventional therapies is considered appropriate if there is no expectation of beneficial outcome. Prognostication for very old patients is challenging due to the substantial biological and functional heterogeneity in that group. We have previously identified seven phenotypes in that cohort with distinct patterns of acute and geriatric characteristics. This study investigates the relationship between these phenotypes and decisions to limit LST in the ICU. METHODS: This study is a post hoc analysis of the prospective observational VIP2 study in patients aged 80 years or older admitted to ICUs in 22 countries. The VIP2 study documented demographic, acute and geriatric characteristics as well as organ support and decisions to limit LST in the ICU. Phenotypes were identified by clustering analysis of admission characteristics. Patients who were assigned to one of seven phenotypes (n = 1268) were analysed with regard to limitations of LST. RESULTS: The incidence of decisions to withhold or withdraw LST was 26.5% and 8.1%, respectively. The two phenotypes describing patients with prominent geriatric features and a phenotype representing the oldest old patients with low severity of the critical condition had the largest odds for withholding decisions. The discriminatory performance of logistic regression models in predicting limitations of LST after admission to the ICU was the best after combining phenotype, ventilatory support and country as independent variables. CONCLUSIONS: Clinical phenotypes on ICU admission predict limitations of LST in the context of cultural norms (country). These findings can guide further research into biases and preferences involved in the decision-making about LST. Trial registration Clinical Trials NCT03370692 registered on 12 December 2017. |
format | Online Article Text |
id | pubmed-10170430 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-101704302023-05-11 The role of clinical phenotypes in decisions to limit life-sustaining treatment for very old patients in the ICU Mousai, Oded Tafoureau, Lola Yovell, Tamar Flaatten, Hans Guidet, Bertrand Beil, Michael de Lange, Dylan Leaver, Susannah Szczeklik, Wojciech Fjolner, Jesper Nachshon, Akiva van Heerden, Peter Vernon Joskowicz, Leo Jung, Christian Hyams, Gal Sviri, Sigal Ann Intensive Care Research BACKGROUND: Limiting life-sustaining treatment (LST) in the intensive care unit (ICU) by withholding or withdrawing interventional therapies is considered appropriate if there is no expectation of beneficial outcome. Prognostication for very old patients is challenging due to the substantial biological and functional heterogeneity in that group. We have previously identified seven phenotypes in that cohort with distinct patterns of acute and geriatric characteristics. This study investigates the relationship between these phenotypes and decisions to limit LST in the ICU. METHODS: This study is a post hoc analysis of the prospective observational VIP2 study in patients aged 80 years or older admitted to ICUs in 22 countries. The VIP2 study documented demographic, acute and geriatric characteristics as well as organ support and decisions to limit LST in the ICU. Phenotypes were identified by clustering analysis of admission characteristics. Patients who were assigned to one of seven phenotypes (n = 1268) were analysed with regard to limitations of LST. RESULTS: The incidence of decisions to withhold or withdraw LST was 26.5% and 8.1%, respectively. The two phenotypes describing patients with prominent geriatric features and a phenotype representing the oldest old patients with low severity of the critical condition had the largest odds for withholding decisions. The discriminatory performance of logistic regression models in predicting limitations of LST after admission to the ICU was the best after combining phenotype, ventilatory support and country as independent variables. CONCLUSIONS: Clinical phenotypes on ICU admission predict limitations of LST in the context of cultural norms (country). These findings can guide further research into biases and preferences involved in the decision-making about LST. Trial registration Clinical Trials NCT03370692 registered on 12 December 2017. Springer International Publishing 2023-05-10 /pmc/articles/PMC10170430/ /pubmed/37162595 http://dx.doi.org/10.1186/s13613-023-01136-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Mousai, Oded Tafoureau, Lola Yovell, Tamar Flaatten, Hans Guidet, Bertrand Beil, Michael de Lange, Dylan Leaver, Susannah Szczeklik, Wojciech Fjolner, Jesper Nachshon, Akiva van Heerden, Peter Vernon Joskowicz, Leo Jung, Christian Hyams, Gal Sviri, Sigal The role of clinical phenotypes in decisions to limit life-sustaining treatment for very old patients in the ICU |
title | The role of clinical phenotypes in decisions to limit life-sustaining treatment for very old patients in the ICU |
title_full | The role of clinical phenotypes in decisions to limit life-sustaining treatment for very old patients in the ICU |
title_fullStr | The role of clinical phenotypes in decisions to limit life-sustaining treatment for very old patients in the ICU |
title_full_unstemmed | The role of clinical phenotypes in decisions to limit life-sustaining treatment for very old patients in the ICU |
title_short | The role of clinical phenotypes in decisions to limit life-sustaining treatment for very old patients in the ICU |
title_sort | role of clinical phenotypes in decisions to limit life-sustaining treatment for very old patients in the icu |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10170430/ https://www.ncbi.nlm.nih.gov/pubmed/37162595 http://dx.doi.org/10.1186/s13613-023-01136-7 |
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