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Admission oxygen saturation and all-cause in-hospital mortality in acute myocardial infarction patients: data from the MIMIC-III database

BACKGROUND: Acute myocardial infarction (AMI) is mainly caused by a mismatch of blood oxygen supply and demand in the myocardium. However, several studies have suggested that excessively high or low arterial oxygen tension could have deleterious effects on the prognosis of AMI patients. Therefore, t...

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Autores principales: Yu, Yue, Wang, Jun, Wang, Qing, Wang, Junnan, Min, Jie, Wang, Suyu, Wang, Pei, Huang, Renhong, Xiao, Jian, Zhang, Yufeng, Wang, Zhinong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7723567/
https://www.ncbi.nlm.nih.gov/pubmed/33313116
http://dx.doi.org/10.21037/atm-20-2614
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author Yu, Yue
Wang, Jun
Wang, Qing
Wang, Junnan
Min, Jie
Wang, Suyu
Wang, Pei
Huang, Renhong
Xiao, Jian
Zhang, Yufeng
Wang, Zhinong
author_facet Yu, Yue
Wang, Jun
Wang, Qing
Wang, Junnan
Min, Jie
Wang, Suyu
Wang, Pei
Huang, Renhong
Xiao, Jian
Zhang, Yufeng
Wang, Zhinong
author_sort Yu, Yue
collection PubMed
description BACKGROUND: Acute myocardial infarction (AMI) is mainly caused by a mismatch of blood oxygen supply and demand in the myocardium. However, several studies have suggested that excessively high or low arterial oxygen tension could have deleterious effects on the prognosis of AMI patients. Therefore, the relationship between blood oxygenation and clinical outcomes among AMI patients is unclear, and could be nonlinear. In the critical care setting, blood oxygen level is commonly measured continuously using pulse oximetry-derived oxygen saturation (SpO(2)). The present study aimed to determine the association between admission SpO(2) levels and all-cause in-hospital mortality, and to elucidate the optimal SpO(2) range with real-world data. METHODS: Patients diagnosed with AMI on admission in the Medical Information Mart for Intensive Care III (MIMIC-III) database were included. A generalized additive model (GAM) with loess smoothing functions was used to determine and visualize the nonlinear relationship between admission SpO(2) levels within the first 24 hours after ICU admission and mortality. Moreover, the Cox regression model was constructed to confirm the association between SpO(2) and mortality. RESULTS: We included 1,846 patients who fulfilled our inclusion criteria, among whom 587 (31.80%) died during hospitalization. The GAM showed that the relationship between admission SpO(2) levels and all-cause in-hospital mortality among AMI patients was nonlinear, as a U-shaped curve was observed. In addition, the lowest mortality was observed for an SpO(2) range of 94–96%. Adjusted multivariable Cox regression analysis confirmed that the admission SpO(2) level of 94–96% was independently associated with decreased mortality compared to SpO(2) levels <94% [hazard ratio (HR) 1.352; 95% confidence interval (CI): 1.048–1.715; P=0.028] and >96% (HR 1.315; 95% CI: 1.018–1.658; P=0.030). CONCLUSIONS: The relationship between admission SpO(2) levels and all-cause in-hospital mortality followed a U-shaped curve among patients with AMI. The optimal oxygen saturation range was identified as an SpO(2) range of 94–96%, which was independently associated with increased survival in a large and heterogeneous cohort of AMI patients.
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spelling pubmed-77235672020-12-10 Admission oxygen saturation and all-cause in-hospital mortality in acute myocardial infarction patients: data from the MIMIC-III database Yu, Yue Wang, Jun Wang, Qing Wang, Junnan Min, Jie Wang, Suyu Wang, Pei Huang, Renhong Xiao, Jian Zhang, Yufeng Wang, Zhinong Ann Transl Med Original Article BACKGROUND: Acute myocardial infarction (AMI) is mainly caused by a mismatch of blood oxygen supply and demand in the myocardium. However, several studies have suggested that excessively high or low arterial oxygen tension could have deleterious effects on the prognosis of AMI patients. Therefore, the relationship between blood oxygenation and clinical outcomes among AMI patients is unclear, and could be nonlinear. In the critical care setting, blood oxygen level is commonly measured continuously using pulse oximetry-derived oxygen saturation (SpO(2)). The present study aimed to determine the association between admission SpO(2) levels and all-cause in-hospital mortality, and to elucidate the optimal SpO(2) range with real-world data. METHODS: Patients diagnosed with AMI on admission in the Medical Information Mart for Intensive Care III (MIMIC-III) database were included. A generalized additive model (GAM) with loess smoothing functions was used to determine and visualize the nonlinear relationship between admission SpO(2) levels within the first 24 hours after ICU admission and mortality. Moreover, the Cox regression model was constructed to confirm the association between SpO(2) and mortality. RESULTS: We included 1,846 patients who fulfilled our inclusion criteria, among whom 587 (31.80%) died during hospitalization. The GAM showed that the relationship between admission SpO(2) levels and all-cause in-hospital mortality among AMI patients was nonlinear, as a U-shaped curve was observed. In addition, the lowest mortality was observed for an SpO(2) range of 94–96%. Adjusted multivariable Cox regression analysis confirmed that the admission SpO(2) level of 94–96% was independently associated with decreased mortality compared to SpO(2) levels <94% [hazard ratio (HR) 1.352; 95% confidence interval (CI): 1.048–1.715; P=0.028] and >96% (HR 1.315; 95% CI: 1.018–1.658; P=0.030). CONCLUSIONS: The relationship between admission SpO(2) levels and all-cause in-hospital mortality followed a U-shaped curve among patients with AMI. The optimal oxygen saturation range was identified as an SpO(2) range of 94–96%, which was independently associated with increased survival in a large and heterogeneous cohort of AMI patients. AME Publishing Company 2020-11 /pmc/articles/PMC7723567/ /pubmed/33313116 http://dx.doi.org/10.21037/atm-20-2614 Text en 2020 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Yu, Yue
Wang, Jun
Wang, Qing
Wang, Junnan
Min, Jie
Wang, Suyu
Wang, Pei
Huang, Renhong
Xiao, Jian
Zhang, Yufeng
Wang, Zhinong
Admission oxygen saturation and all-cause in-hospital mortality in acute myocardial infarction patients: data from the MIMIC-III database
title Admission oxygen saturation and all-cause in-hospital mortality in acute myocardial infarction patients: data from the MIMIC-III database
title_full Admission oxygen saturation and all-cause in-hospital mortality in acute myocardial infarction patients: data from the MIMIC-III database
title_fullStr Admission oxygen saturation and all-cause in-hospital mortality in acute myocardial infarction patients: data from the MIMIC-III database
title_full_unstemmed Admission oxygen saturation and all-cause in-hospital mortality in acute myocardial infarction patients: data from the MIMIC-III database
title_short Admission oxygen saturation and all-cause in-hospital mortality in acute myocardial infarction patients: data from the MIMIC-III database
title_sort admission oxygen saturation and all-cause in-hospital mortality in acute myocardial infarction patients: data from the mimic-iii database
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7723567/
https://www.ncbi.nlm.nih.gov/pubmed/33313116
http://dx.doi.org/10.21037/atm-20-2614
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