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Plasma anion gap and risk of in-hospital mortality in patients with spontaneous subarachnoid hemorrhage

BACKGROUND: The association between the serum anion gap (AG) and prognosis of patients with spontaneous subarachnoid hemorrhage (SAH) remains unknown. Thus, this study aimed to explore the association between AG levels and mortality in patients with SAH in the intensive care unit (ICU). METHODS: Thi...

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Autores principales: Ji, LinJin, Tong, Xin, Wang, KaiChun, Jiang, ZhiQun, Liu, Aihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9582756/
https://www.ncbi.nlm.nih.gov/pubmed/36277928
http://dx.doi.org/10.3389/fneur.2022.1008030
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author Ji, LinJin
Tong, Xin
Wang, KaiChun
Jiang, ZhiQun
Liu, Aihua
author_facet Ji, LinJin
Tong, Xin
Wang, KaiChun
Jiang, ZhiQun
Liu, Aihua
author_sort Ji, LinJin
collection PubMed
description BACKGROUND: The association between the serum anion gap (AG) and prognosis of patients with spontaneous subarachnoid hemorrhage (SAH) remains unknown. Thus, this study aimed to explore the association between AG levels and mortality in patients with SAH in the intensive care unit (ICU). METHODS: This was a retrospective analysis of data stored in the Medical Information Mart for Intensive Care–IV and eICU Collaborative Research databases. Critically ill patients diagnosed with spontaneous SAH were included. The primary outcome measure was in-hospital all-cause mortality. A multivariate Cox proportional hazards regression model and a restricted cubic spline were used to evaluate the relationship between AG concentration and outcomes. Kaplan–Meier curves were used to compare cumulative survival among patients with AG levels. RESULTS: A total of 1,114 patients were enrolled. AG concentration was significantly associated with in-hospital all-cause mortality [hazard ratio ([HR], 1.076 (95% confidence interval (CI), 1.021–1.292; p = 0.006)]. The risk of mortality was higher in the Category 2 group (AG ≥10 mmol/L and <13 mmol/L; HR, 1.961; 95% CI, 1.157–3.324; p = 0.0) and the Category 3 group (AG ≥13 mmol/L; HR, 2.151; 95% CI, 1.198–3.864; p = 0.010) than in the Category 1 group (AG < 10 mmol/L). Cumulative survival rates were significantly lower in patients with higher AG levels (log-rank p < 0.001). CONCLUSIONS: In-hospital and ICU mortalities increase with increasing AG concentration in patients with SAH. An increased serum AG level is an independent, significant, and robust predictor of all-cause mortality. Thus, serum AG levels may be used in the risk stratification of SAH.
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spelling pubmed-95827562022-10-21 Plasma anion gap and risk of in-hospital mortality in patients with spontaneous subarachnoid hemorrhage Ji, LinJin Tong, Xin Wang, KaiChun Jiang, ZhiQun Liu, Aihua Front Neurol Neurology BACKGROUND: The association between the serum anion gap (AG) and prognosis of patients with spontaneous subarachnoid hemorrhage (SAH) remains unknown. Thus, this study aimed to explore the association between AG levels and mortality in patients with SAH in the intensive care unit (ICU). METHODS: This was a retrospective analysis of data stored in the Medical Information Mart for Intensive Care–IV and eICU Collaborative Research databases. Critically ill patients diagnosed with spontaneous SAH were included. The primary outcome measure was in-hospital all-cause mortality. A multivariate Cox proportional hazards regression model and a restricted cubic spline were used to evaluate the relationship between AG concentration and outcomes. Kaplan–Meier curves were used to compare cumulative survival among patients with AG levels. RESULTS: A total of 1,114 patients were enrolled. AG concentration was significantly associated with in-hospital all-cause mortality [hazard ratio ([HR], 1.076 (95% confidence interval (CI), 1.021–1.292; p = 0.006)]. The risk of mortality was higher in the Category 2 group (AG ≥10 mmol/L and <13 mmol/L; HR, 1.961; 95% CI, 1.157–3.324; p = 0.0) and the Category 3 group (AG ≥13 mmol/L; HR, 2.151; 95% CI, 1.198–3.864; p = 0.010) than in the Category 1 group (AG < 10 mmol/L). Cumulative survival rates were significantly lower in patients with higher AG levels (log-rank p < 0.001). CONCLUSIONS: In-hospital and ICU mortalities increase with increasing AG concentration in patients with SAH. An increased serum AG level is an independent, significant, and robust predictor of all-cause mortality. Thus, serum AG levels may be used in the risk stratification of SAH. Frontiers Media S.A. 2022-10-06 /pmc/articles/PMC9582756/ /pubmed/36277928 http://dx.doi.org/10.3389/fneur.2022.1008030 Text en Copyright © 2022 Ji, Tong, Wang, Jiang and Liu. 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 Neurology
Ji, LinJin
Tong, Xin
Wang, KaiChun
Jiang, ZhiQun
Liu, Aihua
Plasma anion gap and risk of in-hospital mortality in patients with spontaneous subarachnoid hemorrhage
title Plasma anion gap and risk of in-hospital mortality in patients with spontaneous subarachnoid hemorrhage
title_full Plasma anion gap and risk of in-hospital mortality in patients with spontaneous subarachnoid hemorrhage
title_fullStr Plasma anion gap and risk of in-hospital mortality in patients with spontaneous subarachnoid hemorrhage
title_full_unstemmed Plasma anion gap and risk of in-hospital mortality in patients with spontaneous subarachnoid hemorrhage
title_short Plasma anion gap and risk of in-hospital mortality in patients with spontaneous subarachnoid hemorrhage
title_sort plasma anion gap and risk of in-hospital mortality in patients with spontaneous subarachnoid hemorrhage
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9582756/
https://www.ncbi.nlm.nih.gov/pubmed/36277928
http://dx.doi.org/10.3389/fneur.2022.1008030
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