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Defining persistent critical illness based on growth trajectories in patients with sepsis

BACKGROUND: Persistent critical illness is common in critically ill patients and is associated with vast medical resource use and poor clinical outcomes. This study aimed to define when patients with sepsis would be stabilized and transitioned to persistent critical illness, and whether such transit...

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Autores principales: Zhang, Zhongheng, Ho, Kwok M., Gu, Hongqiu, Hong, Yucai, Yu, Yunsong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7029548/
https://www.ncbi.nlm.nih.gov/pubmed/32070393
http://dx.doi.org/10.1186/s13054-020-2768-z
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author Zhang, Zhongheng
Ho, Kwok M.
Gu, Hongqiu
Hong, Yucai
Yu, Yunsong
author_facet Zhang, Zhongheng
Ho, Kwok M.
Gu, Hongqiu
Hong, Yucai
Yu, Yunsong
author_sort Zhang, Zhongheng
collection PubMed
description BACKGROUND: Persistent critical illness is common in critically ill patients and is associated with vast medical resource use and poor clinical outcomes. This study aimed to define when patients with sepsis would be stabilized and transitioned to persistent critical illness, and whether such transition time varies between latent classes of patients. METHODS: This was a retrospective cohort study involving sepsis patients in the eICU Collaborative Research Database. Persistent critical illness was defined at the time when acute physiological characteristics were no longer more predictive of in-hospital mortality (i.e., vital status at hospital discharge) than antecedent characteristics. Latent growth mixture modeling was used to identify distinct trajectory classes by using Sequential Organ Failure Assessment score measured during intensive care unit stay as the outcome, and persistent critical illness transition time was explored in each latent class. RESULTS: The mortality was 16.7% (3828/22,868) in the study cohort. Acute physiological model was no longer more predictive of in-hospital mortality than antecedent characteristics at 15 days after intensive care unit admission in the overall population. Only a minority of the study subjects (n = 643, 2.8%) developed persistent critical illness, but they accounted for 19% (15,834/83,125) and 10% (19,975/198,833) of the total intensive care unit and hospital bed-days, respectively. Five latent classes were identified. Classes 1 and 2 showed increasing Sequential Organ Failure Assessment score over time and transition to persistent critical illness occurred at 16 and 27 days, respectively. The remaining classes showed a steady decline in Sequential Organ Failure Assessment scores and the transition to persistent critical illness occurred between 6 and 8 days. Elevated urea-to-creatinine ratio was a good biochemical signature of persistent critical illness. CONCLUSIONS: While persistent critical illness occurred in a minority of patients with sepsis, it consumed vast medical resources. The transition time differs substantially across latent classes, indicating that the allocation of medical resources should be tailored to different classes of patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13054-020-2768-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-70295482020-02-25 Defining persistent critical illness based on growth trajectories in patients with sepsis Zhang, Zhongheng Ho, Kwok M. Gu, Hongqiu Hong, Yucai Yu, Yunsong Crit Care Research BACKGROUND: Persistent critical illness is common in critically ill patients and is associated with vast medical resource use and poor clinical outcomes. This study aimed to define when patients with sepsis would be stabilized and transitioned to persistent critical illness, and whether such transition time varies between latent classes of patients. METHODS: This was a retrospective cohort study involving sepsis patients in the eICU Collaborative Research Database. Persistent critical illness was defined at the time when acute physiological characteristics were no longer more predictive of in-hospital mortality (i.e., vital status at hospital discharge) than antecedent characteristics. Latent growth mixture modeling was used to identify distinct trajectory classes by using Sequential Organ Failure Assessment score measured during intensive care unit stay as the outcome, and persistent critical illness transition time was explored in each latent class. RESULTS: The mortality was 16.7% (3828/22,868) in the study cohort. Acute physiological model was no longer more predictive of in-hospital mortality than antecedent characteristics at 15 days after intensive care unit admission in the overall population. Only a minority of the study subjects (n = 643, 2.8%) developed persistent critical illness, but they accounted for 19% (15,834/83,125) and 10% (19,975/198,833) of the total intensive care unit and hospital bed-days, respectively. Five latent classes were identified. Classes 1 and 2 showed increasing Sequential Organ Failure Assessment score over time and transition to persistent critical illness occurred at 16 and 27 days, respectively. The remaining classes showed a steady decline in Sequential Organ Failure Assessment scores and the transition to persistent critical illness occurred between 6 and 8 days. Elevated urea-to-creatinine ratio was a good biochemical signature of persistent critical illness. CONCLUSIONS: While persistent critical illness occurred in a minority of patients with sepsis, it consumed vast medical resources. The transition time differs substantially across latent classes, indicating that the allocation of medical resources should be tailored to different classes of patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13054-020-2768-z) contains supplementary material, which is available to authorized users. BioMed Central 2020-02-18 /pmc/articles/PMC7029548/ /pubmed/32070393 http://dx.doi.org/10.1186/s13054-020-2768-z Text en © The Author(s). 2020 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
Zhang, Zhongheng
Ho, Kwok M.
Gu, Hongqiu
Hong, Yucai
Yu, Yunsong
Defining persistent critical illness based on growth trajectories in patients with sepsis
title Defining persistent critical illness based on growth trajectories in patients with sepsis
title_full Defining persistent critical illness based on growth trajectories in patients with sepsis
title_fullStr Defining persistent critical illness based on growth trajectories in patients with sepsis
title_full_unstemmed Defining persistent critical illness based on growth trajectories in patients with sepsis
title_short Defining persistent critical illness based on growth trajectories in patients with sepsis
title_sort defining persistent critical illness based on growth trajectories in patients with sepsis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7029548/
https://www.ncbi.nlm.nih.gov/pubmed/32070393
http://dx.doi.org/10.1186/s13054-020-2768-z
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