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Association Between Oxygen Partial Pressure Trajectories and Short-Term Outcomes in Patients With Hemorrhagic Brain Injury

Objectives: Arterial hyperoxia is reportedly a risk factor for poor outcomes in patients with hemorrhagic brain injury (HBI). However, most previous studies have only evaluated the effects of hyperoxia using static oxygen partial pressure (PaO(2)) values. This study aimed to investigate the associat...

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Autores principales: Cai, Guolong, Ru, Weizhe, Xu, Qianghong, Wu, Jiong, Gong, Shijin, Yan, Jing, Shen, Yanfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8458649/
https://www.ncbi.nlm.nih.gov/pubmed/34568355
http://dx.doi.org/10.3389/fmed.2021.681200
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author Cai, Guolong
Ru, Weizhe
Xu, Qianghong
Wu, Jiong
Gong, Shijin
Yan, Jing
Shen, Yanfei
author_facet Cai, Guolong
Ru, Weizhe
Xu, Qianghong
Wu, Jiong
Gong, Shijin
Yan, Jing
Shen, Yanfei
author_sort Cai, Guolong
collection PubMed
description Objectives: Arterial hyperoxia is reportedly a risk factor for poor outcomes in patients with hemorrhagic brain injury (HBI). However, most previous studies have only evaluated the effects of hyperoxia using static oxygen partial pressure (PaO(2)) values. This study aimed to investigate the association between overall dynamic oxygenation status and HBI outcomes, using longitudinal PaO(2) data. Methods: Data were extracted from the Medical Information Mart for Intensive Care III database. Longitudinal PaO(2) data obtained within 72 h of admission to an intensive care unit were analyzed, using a group-based trajectory approach. In-hospital mortality was used as the primary outcomes. Multivariable logistic models were used to explore the association between PaO(2) trajectory and outcomes. Results: Data of 2,028 patients with HBI were analyzed. Three PaO(2) trajectory types were identified: Traj-1 (mild hyperoxia), Traj-2 (transient severe hyperoxia), and Traj-3 (persistent severe hyperoxia). The initial and maximum PaO(2) of patients with Traj-2 and Traj-3 were similar and significantly higher than those of patients with Traj-1. However, PaO(2) in patients with Traj-2 decreased more rapidly than in patients with Traj-3. The crude in-hospital mortality was the lowest for patients with Traj-1 and highest for patients with Traj-3 (365/1,303, 209/640, and 43/85 for Traj-1, Traj-2, and Traj-3, respectively; p < 0.001), and the mean Glasgow Coma Scale score at discharge (GCS(dis)) was highest for patients with Traj-1 and lowest in patients with Traj-3 (13 [7–15], 11 [6–15], and 7 [3–14] for Traj-1, Traj-2, and Traj-3, respectively; p < 0.001). The multivariable model revealed that the risk of death was higher in patients with Traj-3 than in patients with Traj-1 (odds ratio [OR]: 3.3, 95% confidence interval [CI]: 1.9–5.8) but similar for patients with Traj-1 and Traj-2. Similarly, the logistic analysis indicated the worst neurological outcomes in patients with Traj-3 (OR: 3.6, 95% CI: 2.0–6.4, relative to Traj-1), but similar neurological outcomes for patients in Traj-1 and Traj-2. Conclusion: Persistent, but not transient severe arterial hyperoxia, was associated with poor outcome in patients with HBI.
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spelling pubmed-84586492021-09-24 Association Between Oxygen Partial Pressure Trajectories and Short-Term Outcomes in Patients With Hemorrhagic Brain Injury Cai, Guolong Ru, Weizhe Xu, Qianghong Wu, Jiong Gong, Shijin Yan, Jing Shen, Yanfei Front Med (Lausanne) Medicine Objectives: Arterial hyperoxia is reportedly a risk factor for poor outcomes in patients with hemorrhagic brain injury (HBI). However, most previous studies have only evaluated the effects of hyperoxia using static oxygen partial pressure (PaO(2)) values. This study aimed to investigate the association between overall dynamic oxygenation status and HBI outcomes, using longitudinal PaO(2) data. Methods: Data were extracted from the Medical Information Mart for Intensive Care III database. Longitudinal PaO(2) data obtained within 72 h of admission to an intensive care unit were analyzed, using a group-based trajectory approach. In-hospital mortality was used as the primary outcomes. Multivariable logistic models were used to explore the association between PaO(2) trajectory and outcomes. Results: Data of 2,028 patients with HBI were analyzed. Three PaO(2) trajectory types were identified: Traj-1 (mild hyperoxia), Traj-2 (transient severe hyperoxia), and Traj-3 (persistent severe hyperoxia). The initial and maximum PaO(2) of patients with Traj-2 and Traj-3 were similar and significantly higher than those of patients with Traj-1. However, PaO(2) in patients with Traj-2 decreased more rapidly than in patients with Traj-3. The crude in-hospital mortality was the lowest for patients with Traj-1 and highest for patients with Traj-3 (365/1,303, 209/640, and 43/85 for Traj-1, Traj-2, and Traj-3, respectively; p < 0.001), and the mean Glasgow Coma Scale score at discharge (GCS(dis)) was highest for patients with Traj-1 and lowest in patients with Traj-3 (13 [7–15], 11 [6–15], and 7 [3–14] for Traj-1, Traj-2, and Traj-3, respectively; p < 0.001). The multivariable model revealed that the risk of death was higher in patients with Traj-3 than in patients with Traj-1 (odds ratio [OR]: 3.3, 95% confidence interval [CI]: 1.9–5.8) but similar for patients with Traj-1 and Traj-2. Similarly, the logistic analysis indicated the worst neurological outcomes in patients with Traj-3 (OR: 3.6, 95% CI: 2.0–6.4, relative to Traj-1), but similar neurological outcomes for patients in Traj-1 and Traj-2. Conclusion: Persistent, but not transient severe arterial hyperoxia, was associated with poor outcome in patients with HBI. Frontiers Media S.A. 2021-09-09 /pmc/articles/PMC8458649/ /pubmed/34568355 http://dx.doi.org/10.3389/fmed.2021.681200 Text en Copyright © 2021 Cai, Ru, Xu, Wu, Gong, Yan and Shen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Cai, Guolong
Ru, Weizhe
Xu, Qianghong
Wu, Jiong
Gong, Shijin
Yan, Jing
Shen, Yanfei
Association Between Oxygen Partial Pressure Trajectories and Short-Term Outcomes in Patients With Hemorrhagic Brain Injury
title Association Between Oxygen Partial Pressure Trajectories and Short-Term Outcomes in Patients With Hemorrhagic Brain Injury
title_full Association Between Oxygen Partial Pressure Trajectories and Short-Term Outcomes in Patients With Hemorrhagic Brain Injury
title_fullStr Association Between Oxygen Partial Pressure Trajectories and Short-Term Outcomes in Patients With Hemorrhagic Brain Injury
title_full_unstemmed Association Between Oxygen Partial Pressure Trajectories and Short-Term Outcomes in Patients With Hemorrhagic Brain Injury
title_short Association Between Oxygen Partial Pressure Trajectories and Short-Term Outcomes in Patients With Hemorrhagic Brain Injury
title_sort association between oxygen partial pressure trajectories and short-term outcomes in patients with hemorrhagic brain injury
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8458649/
https://www.ncbi.nlm.nih.gov/pubmed/34568355
http://dx.doi.org/10.3389/fmed.2021.681200
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