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Association between fluid balance and mortality for heart failure and sepsis: a propensity score-matching analysis

BACKGROUND: Fluid resuscitation is necessary to correct the sepsis-induced hypoperfusion, which is contradictory to the treatment of heart failure. This study explored the association between fluid balance (FB) of the first 24 h after ICU admission and mortality in critically ill patients with heart...

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Autores principales: Zhang, Bufan, Guo, Shaohua, Fu, Zean, Wu, Naishi, Liu, Zhigang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9587660/
https://www.ncbi.nlm.nih.gov/pubmed/36273128
http://dx.doi.org/10.1186/s12871-022-01865-5
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author Zhang, Bufan
Guo, Shaohua
Fu, Zean
Wu, Naishi
Liu, Zhigang
author_facet Zhang, Bufan
Guo, Shaohua
Fu, Zean
Wu, Naishi
Liu, Zhigang
author_sort Zhang, Bufan
collection PubMed
description BACKGROUND: Fluid resuscitation is necessary to correct the sepsis-induced hypoperfusion, which is contradictory to the treatment of heart failure. This study explored the association between fluid balance (FB) of the first 24 h after ICU admission and mortality in critically ill patients with heart failure and sepsis. METHODS: Data were extracted from the Medical Information Mart for Intensive Care database. The locally weighted scatterplot smoothing (Lowess) method was used to demonstrate the relationship between FB and in-hospital mortality. Groups were divided into high FB (≥ 55.85 ml/kg) and low FB (< 55.85 ml/kg) according to the cut-off value of FB using Receiver operating characteristic analysis and Youden index method. The primary outcome was in-hospital mortality. Subgroup analyses, multivariable logistic regression analyses, and Kaplan-Meier curves were used to detect the association and survival difference between groups. Inverse probability treatment weighting (IPTW) and propensity score matching (PSM) were performed to minimize the bias of confounding factors and facilitate the comparability between groups. RESULTS: A total of 936 patients were included. The Lowess curve showed an approximate positive linear relationship for FB and in-hospital mortality. In the multivariable logistic regression adjusted model, high FB showed strong associations with in-hospital mortality (OR 2.53, 95% CI 1.60–3.99, p < 0.001) as compared to the low FB group. In IPTW and PSM models, high FB consistently showed higher in-hospital mortality (IPTW model: OR 1.94, 95% CI 1.52–2.49, p < 0.001; PSM model: OR 2.93, 95% CI 1.75–4.90, p < 0.001) and 30-day mortality (IPTW model: OR 1.65, 95% CI 1.29–2.10, p < 0.001; PSM model: OR 2.50, 95% CI 1.51–4.15, p < 0.001), compared with the low FB group. CONCLUSION: For critically ill patients with heart failure and sepsis, high FB within the first 24 h after ICU admission could serve as an independent risk factor for in-hospital mortality and 30-day mortality. The avoidance of fluid overload exerts important effects on reducing mortality in such patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12871-022-01865-5.
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spelling pubmed-95876602022-10-23 Association between fluid balance and mortality for heart failure and sepsis: a propensity score-matching analysis Zhang, Bufan Guo, Shaohua Fu, Zean Wu, Naishi Liu, Zhigang BMC Anesthesiol Research BACKGROUND: Fluid resuscitation is necessary to correct the sepsis-induced hypoperfusion, which is contradictory to the treatment of heart failure. This study explored the association between fluid balance (FB) of the first 24 h after ICU admission and mortality in critically ill patients with heart failure and sepsis. METHODS: Data were extracted from the Medical Information Mart for Intensive Care database. The locally weighted scatterplot smoothing (Lowess) method was used to demonstrate the relationship between FB and in-hospital mortality. Groups were divided into high FB (≥ 55.85 ml/kg) and low FB (< 55.85 ml/kg) according to the cut-off value of FB using Receiver operating characteristic analysis and Youden index method. The primary outcome was in-hospital mortality. Subgroup analyses, multivariable logistic regression analyses, and Kaplan-Meier curves were used to detect the association and survival difference between groups. Inverse probability treatment weighting (IPTW) and propensity score matching (PSM) were performed to minimize the bias of confounding factors and facilitate the comparability between groups. RESULTS: A total of 936 patients were included. The Lowess curve showed an approximate positive linear relationship for FB and in-hospital mortality. In the multivariable logistic regression adjusted model, high FB showed strong associations with in-hospital mortality (OR 2.53, 95% CI 1.60–3.99, p < 0.001) as compared to the low FB group. In IPTW and PSM models, high FB consistently showed higher in-hospital mortality (IPTW model: OR 1.94, 95% CI 1.52–2.49, p < 0.001; PSM model: OR 2.93, 95% CI 1.75–4.90, p < 0.001) and 30-day mortality (IPTW model: OR 1.65, 95% CI 1.29–2.10, p < 0.001; PSM model: OR 2.50, 95% CI 1.51–4.15, p < 0.001), compared with the low FB group. CONCLUSION: For critically ill patients with heart failure and sepsis, high FB within the first 24 h after ICU admission could serve as an independent risk factor for in-hospital mortality and 30-day mortality. The avoidance of fluid overload exerts important effects on reducing mortality in such patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12871-022-01865-5. BioMed Central 2022-10-22 /pmc/articles/PMC9587660/ /pubmed/36273128 http://dx.doi.org/10.1186/s12871-022-01865-5 Text en © The Author(s) 2022 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhang, Bufan
Guo, Shaohua
Fu, Zean
Wu, Naishi
Liu, Zhigang
Association between fluid balance and mortality for heart failure and sepsis: a propensity score-matching analysis
title Association between fluid balance and mortality for heart failure and sepsis: a propensity score-matching analysis
title_full Association between fluid balance and mortality for heart failure and sepsis: a propensity score-matching analysis
title_fullStr Association between fluid balance and mortality for heart failure and sepsis: a propensity score-matching analysis
title_full_unstemmed Association between fluid balance and mortality for heart failure and sepsis: a propensity score-matching analysis
title_short Association between fluid balance and mortality for heart failure and sepsis: a propensity score-matching analysis
title_sort association between fluid balance and mortality for heart failure and sepsis: a propensity score-matching analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9587660/
https://www.ncbi.nlm.nih.gov/pubmed/36273128
http://dx.doi.org/10.1186/s12871-022-01865-5
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