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Healthcare trajectories before and after critical illness: population-based insight on diverse patients clusters

BACKGROUND: The post intensive care syndrome (PICS) gathers various disabilities, associated with a substantial healthcare use. However, patients’ comorbidities and active medical conditions prior to intensive care unit (ICU) admission may partly drive healthcare use after ICU discharge. To better u...

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Autores principales: Jouan, Youenn, Grammatico-Guillon, Leslie, Teixera, Noémie, Hassen-Khodja, Claire, Gaborit, Christophe, Salmon-Gandonnière, Charlotte, Guillon, Antoine, Ehrmann, Stephan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6842359/
https://www.ncbi.nlm.nih.gov/pubmed/31707487
http://dx.doi.org/10.1186/s13613-019-0599-3
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author Jouan, Youenn
Grammatico-Guillon, Leslie
Teixera, Noémie
Hassen-Khodja, Claire
Gaborit, Christophe
Salmon-Gandonnière, Charlotte
Guillon, Antoine
Ehrmann, Stephan
author_facet Jouan, Youenn
Grammatico-Guillon, Leslie
Teixera, Noémie
Hassen-Khodja, Claire
Gaborit, Christophe
Salmon-Gandonnière, Charlotte
Guillon, Antoine
Ehrmann, Stephan
author_sort Jouan, Youenn
collection PubMed
description BACKGROUND: The post intensive care syndrome (PICS) gathers various disabilities, associated with a substantial healthcare use. However, patients’ comorbidities and active medical conditions prior to intensive care unit (ICU) admission may partly drive healthcare use after ICU discharge. To better understand retative contribution of critical illness and PICS—compared to pre-existing comorbidities—as potential determinant of post-critical illness healthcare use, we conducted a population-based evaluation of patients’ healthcare use trajectories. RESULTS: Using discharge databases in a 2.5-million-people region in France, we retrieved, over 3 years, all adult patients admitted in ICU for septic shock or acute respiratory distress syndrome (ARDS), intubated at least 5 days and discharged alive from hospital: 882 patients were included. Median duration of mechanical ventilation was 11 days (interquartile ranges [IQR] 8;20), mean SAPS2 was 49, and median hospital length of stay was 42 days (IQR 29;64). Healthcare use (days spent in healthcare facilities) was analyzed 2 years before and 2 years after ICU admission. Prior to ICU admission, we observed, at the scale of the whole study population, a progressive increase in healthcare use. Healthcare trajectories were then explored at individual level, and patients were assembled according to their individual pre-ICU healthcare use trajectory by clusterization with the K-Means method. Interestingly, this revealed diverse trajectories, identifying patients with elevated and increasing healthcare use (n = 126), and two main groups with low (n = 476) or no (n = 251) pre-ICU healthcare use. In ICU, however, SAPS2, duration of mechanical ventilation and length of stay were not different across the groups. Analysis of post-ICU healthcare trajectories for each group revealed that patients with low or no pre-ICU healthcare (which represented 83% of the population) switched to a persistent and elevated healthcare use during the 2 years post-ICU. CONCLUSION: For 83% of ARDS/septic shock survivors, critical illness appears to have a pivotal role in healthcare trajectories, with a switch from a low and stable healthcare use prior to ICU to a sustained higher healthcare recourse 2 years after ICU discharge. This underpins the hypothesis of long-term critical illness and PICS-related quantifiable consequences in healthcare use, measurable at a population level.
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spelling pubmed-68423592019-11-22 Healthcare trajectories before and after critical illness: population-based insight on diverse patients clusters Jouan, Youenn Grammatico-Guillon, Leslie Teixera, Noémie Hassen-Khodja, Claire Gaborit, Christophe Salmon-Gandonnière, Charlotte Guillon, Antoine Ehrmann, Stephan Ann Intensive Care Research BACKGROUND: The post intensive care syndrome (PICS) gathers various disabilities, associated with a substantial healthcare use. However, patients’ comorbidities and active medical conditions prior to intensive care unit (ICU) admission may partly drive healthcare use after ICU discharge. To better understand retative contribution of critical illness and PICS—compared to pre-existing comorbidities—as potential determinant of post-critical illness healthcare use, we conducted a population-based evaluation of patients’ healthcare use trajectories. RESULTS: Using discharge databases in a 2.5-million-people region in France, we retrieved, over 3 years, all adult patients admitted in ICU for septic shock or acute respiratory distress syndrome (ARDS), intubated at least 5 days and discharged alive from hospital: 882 patients were included. Median duration of mechanical ventilation was 11 days (interquartile ranges [IQR] 8;20), mean SAPS2 was 49, and median hospital length of stay was 42 days (IQR 29;64). Healthcare use (days spent in healthcare facilities) was analyzed 2 years before and 2 years after ICU admission. Prior to ICU admission, we observed, at the scale of the whole study population, a progressive increase in healthcare use. Healthcare trajectories were then explored at individual level, and patients were assembled according to their individual pre-ICU healthcare use trajectory by clusterization with the K-Means method. Interestingly, this revealed diverse trajectories, identifying patients with elevated and increasing healthcare use (n = 126), and two main groups with low (n = 476) or no (n = 251) pre-ICU healthcare use. In ICU, however, SAPS2, duration of mechanical ventilation and length of stay were not different across the groups. Analysis of post-ICU healthcare trajectories for each group revealed that patients with low or no pre-ICU healthcare (which represented 83% of the population) switched to a persistent and elevated healthcare use during the 2 years post-ICU. CONCLUSION: For 83% of ARDS/septic shock survivors, critical illness appears to have a pivotal role in healthcare trajectories, with a switch from a low and stable healthcare use prior to ICU to a sustained higher healthcare recourse 2 years after ICU discharge. This underpins the hypothesis of long-term critical illness and PICS-related quantifiable consequences in healthcare use, measurable at a population level. Springer International Publishing 2019-11-09 /pmc/articles/PMC6842359/ /pubmed/31707487 http://dx.doi.org/10.1186/s13613-019-0599-3 Text en © The Author(s) 2019 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.
spellingShingle Research
Jouan, Youenn
Grammatico-Guillon, Leslie
Teixera, Noémie
Hassen-Khodja, Claire
Gaborit, Christophe
Salmon-Gandonnière, Charlotte
Guillon, Antoine
Ehrmann, Stephan
Healthcare trajectories before and after critical illness: population-based insight on diverse patients clusters
title Healthcare trajectories before and after critical illness: population-based insight on diverse patients clusters
title_full Healthcare trajectories before and after critical illness: population-based insight on diverse patients clusters
title_fullStr Healthcare trajectories before and after critical illness: population-based insight on diverse patients clusters
title_full_unstemmed Healthcare trajectories before and after critical illness: population-based insight on diverse patients clusters
title_short Healthcare trajectories before and after critical illness: population-based insight on diverse patients clusters
title_sort healthcare trajectories before and after critical illness: population-based insight on diverse patients clusters
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6842359/
https://www.ncbi.nlm.nih.gov/pubmed/31707487
http://dx.doi.org/10.1186/s13613-019-0599-3
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