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Association between delta anion gap and hospital mortality for patients in cardiothoracic surgery recovery unit: a retrospective cohort study

BACKGROUNDS: High level of anion gap (AG) was associated with organic acidosis. This study aimed to explore the relationship between delta AG (ΔAG = AG(max) − AG(min)) during first 3 days after intensive care unit (ICU) admission and hospital mortality for patients admitted in the cardiothoracic sur...

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Autores principales: Xie, Kai, Zheng, Chao, Wang, Gao-Ming, Diao, Yi-Fei, Luo, Chao, Wang, Ellen, Hu, Li-Wen, Ren, Zhi-Jian, Luo, Jing, Ren, Bin-Hui, Shen, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9107697/
https://www.ncbi.nlm.nih.gov/pubmed/35568886
http://dx.doi.org/10.1186/s12893-022-01625-9
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author Xie, Kai
Zheng, Chao
Wang, Gao-Ming
Diao, Yi-Fei
Luo, Chao
Wang, Ellen
Hu, Li-Wen
Ren, Zhi-Jian
Luo, Jing
Ren, Bin-Hui
Shen, Yi
author_facet Xie, Kai
Zheng, Chao
Wang, Gao-Ming
Diao, Yi-Fei
Luo, Chao
Wang, Ellen
Hu, Li-Wen
Ren, Zhi-Jian
Luo, Jing
Ren, Bin-Hui
Shen, Yi
author_sort Xie, Kai
collection PubMed
description BACKGROUNDS: High level of anion gap (AG) was associated with organic acidosis. This study aimed to explore the relationship between delta AG (ΔAG = AG(max) − AG(min)) during first 3 days after intensive care unit (ICU) admission and hospital mortality for patients admitted in the cardiothoracic surgery recovery unit (CSRU). METHODS: In this retrospective cohort study, we identified patients from the open access database called Multiparameter Intelligent Monitoring in Intensive Care III (MIMIC III). A logistic regression model was established to predict hospital mortality by adjusting confounding factors using a stepwise backward elimination method. We conducted receiver operating characteristic (ROC) curves to compare the diagnostic performance of acid–base variables. Cox regression model and Kaplan Meier curve were applied to predict patients’ 90-day overall survival (OS). RESULTS: A total of 2,860 patients were identified. ΔAG was an independent predictive factor of hospital mortality (OR = 1.24 per 1 mEq/L increase, 95% CI: 1.11–1.39, p < 0.001). The area under curve (AUC) values of ΔAG suggested a good diagnostic accuracy (AUC = 0.769). We established the following formula to estimate patients’ hospital mortality: Logit(P) = − 15.69 + 0.21ΔAG + 0.13age-0.21BE + 2.69AKF. After calculating Youden index, patients with ΔAG ≥ 7 was considered at high risk (OR = 4.23, 95% CI: 1.22–14.63, p = 0.023). Kaplan Meier curve demonstrated that patients with ΔAG ≥ 7 had a poorer 90-day OS (Adjusted HR = 3.20, 95% CI: 1.81–5.65, p < 0.001). CONCLUSION: ΔAG is a prognostic factor of hospital mortality and 90-day OS. More prospective studies are needed to verify and update our findings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12893-022-01625-9.
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spelling pubmed-91076972022-05-16 Association between delta anion gap and hospital mortality for patients in cardiothoracic surgery recovery unit: a retrospective cohort study Xie, Kai Zheng, Chao Wang, Gao-Ming Diao, Yi-Fei Luo, Chao Wang, Ellen Hu, Li-Wen Ren, Zhi-Jian Luo, Jing Ren, Bin-Hui Shen, Yi BMC Surg Research BACKGROUNDS: High level of anion gap (AG) was associated with organic acidosis. This study aimed to explore the relationship between delta AG (ΔAG = AG(max) − AG(min)) during first 3 days after intensive care unit (ICU) admission and hospital mortality for patients admitted in the cardiothoracic surgery recovery unit (CSRU). METHODS: In this retrospective cohort study, we identified patients from the open access database called Multiparameter Intelligent Monitoring in Intensive Care III (MIMIC III). A logistic regression model was established to predict hospital mortality by adjusting confounding factors using a stepwise backward elimination method. We conducted receiver operating characteristic (ROC) curves to compare the diagnostic performance of acid–base variables. Cox regression model and Kaplan Meier curve were applied to predict patients’ 90-day overall survival (OS). RESULTS: A total of 2,860 patients were identified. ΔAG was an independent predictive factor of hospital mortality (OR = 1.24 per 1 mEq/L increase, 95% CI: 1.11–1.39, p < 0.001). The area under curve (AUC) values of ΔAG suggested a good diagnostic accuracy (AUC = 0.769). We established the following formula to estimate patients’ hospital mortality: Logit(P) = − 15.69 + 0.21ΔAG + 0.13age-0.21BE + 2.69AKF. After calculating Youden index, patients with ΔAG ≥ 7 was considered at high risk (OR = 4.23, 95% CI: 1.22–14.63, p = 0.023). Kaplan Meier curve demonstrated that patients with ΔAG ≥ 7 had a poorer 90-day OS (Adjusted HR = 3.20, 95% CI: 1.81–5.65, p < 0.001). CONCLUSION: ΔAG is a prognostic factor of hospital mortality and 90-day OS. More prospective studies are needed to verify and update our findings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12893-022-01625-9. BioMed Central 2022-05-14 /pmc/articles/PMC9107697/ /pubmed/35568886 http://dx.doi.org/10.1186/s12893-022-01625-9 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
Xie, Kai
Zheng, Chao
Wang, Gao-Ming
Diao, Yi-Fei
Luo, Chao
Wang, Ellen
Hu, Li-Wen
Ren, Zhi-Jian
Luo, Jing
Ren, Bin-Hui
Shen, Yi
Association between delta anion gap and hospital mortality for patients in cardiothoracic surgery recovery unit: a retrospective cohort study
title Association between delta anion gap and hospital mortality for patients in cardiothoracic surgery recovery unit: a retrospective cohort study
title_full Association between delta anion gap and hospital mortality for patients in cardiothoracic surgery recovery unit: a retrospective cohort study
title_fullStr Association between delta anion gap and hospital mortality for patients in cardiothoracic surgery recovery unit: a retrospective cohort study
title_full_unstemmed Association between delta anion gap and hospital mortality for patients in cardiothoracic surgery recovery unit: a retrospective cohort study
title_short Association between delta anion gap and hospital mortality for patients in cardiothoracic surgery recovery unit: a retrospective cohort study
title_sort association between delta anion gap and hospital mortality for patients in cardiothoracic surgery recovery unit: a retrospective cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9107697/
https://www.ncbi.nlm.nih.gov/pubmed/35568886
http://dx.doi.org/10.1186/s12893-022-01625-9
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