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Risk factors for the prognosis of patients with sepsis in intensive care units
BACKGROUND AND PURPOSE: To date, sepsis remains the main cause of mortality in intensive care units (ICU). This study aimed analyze the risk factors of the prognosis in sepsis patients. METHODS: In this case-control study, patients with sepsis admitted to the intensive care unit of a Chinese hospita...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9447880/ https://www.ncbi.nlm.nih.gov/pubmed/36067189 http://dx.doi.org/10.1371/journal.pone.0273377 |
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author | Gai, Xiaowei Wang, Yanan Gao, Dan Ma, Jia Zhang, Caijuan Wang, Qiuyan |
author_facet | Gai, Xiaowei Wang, Yanan Gao, Dan Ma, Jia Zhang, Caijuan Wang, Qiuyan |
author_sort | Gai, Xiaowei |
collection | PubMed |
description | BACKGROUND AND PURPOSE: To date, sepsis remains the main cause of mortality in intensive care units (ICU). This study aimed analyze the risk factors of the prognosis in sepsis patients. METHODS: In this case-control study, patients with sepsis admitted to the intensive care unit of a Chinese hospital between January and November 2020 were analyzed. Ultrasound and clinical data were analyzed and compared between non-survivors and survivors. The ROC curve analysis was also performed to determine the best indicator for predicting mortality. RESULTS: A total of 72 patients with sepsis in ICU were included for analysis. The basic characteristics between the survivals and non-survivals were similar, except for acute physiology and chronic health evaluation (APACHE) Ⅱ score, sepsis-related organ failure assessment (SOFA) score, lactate level, ultrasound parameters from superior mesenteric artery (SMA) such as peak systolic velocity (PSV), end-diastolic velocity (EDV) and resistive index (RI). Univariate analysis revealed that the APACHE Ⅱ score, SOFA score, lactate, low PSV, EDV, and RI were potential risk factors for mortality in sepsis, while multivariate analysis suggested that low PSV was an independent risk factor for mortality, and the adjusted odds ratio was 0.295 (95% CI: 0.094–0.925). The ROC analysis showed that the PSV (AUC = 0.99; sensitivity and specificity were 0.99 and 0.96, respectively) had good predictive value for mortality in sepsis. CONCLUSION: Low PSV as found to be an independent risk factor and good predictor for mortality in patients with sepsis. This study shows the promise of ultrasound in predicting mortality in patients with sepsis; however, further studies are needed to validate these results. |
format | Online Article Text |
id | pubmed-9447880 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-94478802022-09-07 Risk factors for the prognosis of patients with sepsis in intensive care units Gai, Xiaowei Wang, Yanan Gao, Dan Ma, Jia Zhang, Caijuan Wang, Qiuyan PLoS One Research Article BACKGROUND AND PURPOSE: To date, sepsis remains the main cause of mortality in intensive care units (ICU). This study aimed analyze the risk factors of the prognosis in sepsis patients. METHODS: In this case-control study, patients with sepsis admitted to the intensive care unit of a Chinese hospital between January and November 2020 were analyzed. Ultrasound and clinical data were analyzed and compared between non-survivors and survivors. The ROC curve analysis was also performed to determine the best indicator for predicting mortality. RESULTS: A total of 72 patients with sepsis in ICU were included for analysis. The basic characteristics between the survivals and non-survivals were similar, except for acute physiology and chronic health evaluation (APACHE) Ⅱ score, sepsis-related organ failure assessment (SOFA) score, lactate level, ultrasound parameters from superior mesenteric artery (SMA) such as peak systolic velocity (PSV), end-diastolic velocity (EDV) and resistive index (RI). Univariate analysis revealed that the APACHE Ⅱ score, SOFA score, lactate, low PSV, EDV, and RI were potential risk factors for mortality in sepsis, while multivariate analysis suggested that low PSV was an independent risk factor for mortality, and the adjusted odds ratio was 0.295 (95% CI: 0.094–0.925). The ROC analysis showed that the PSV (AUC = 0.99; sensitivity and specificity were 0.99 and 0.96, respectively) had good predictive value for mortality in sepsis. CONCLUSION: Low PSV as found to be an independent risk factor and good predictor for mortality in patients with sepsis. This study shows the promise of ultrasound in predicting mortality in patients with sepsis; however, further studies are needed to validate these results. Public Library of Science 2022-09-06 /pmc/articles/PMC9447880/ /pubmed/36067189 http://dx.doi.org/10.1371/journal.pone.0273377 Text en © 2022 Gai et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Gai, Xiaowei Wang, Yanan Gao, Dan Ma, Jia Zhang, Caijuan Wang, Qiuyan Risk factors for the prognosis of patients with sepsis in intensive care units |
title | Risk factors for the prognosis of patients with sepsis in intensive care units |
title_full | Risk factors for the prognosis of patients with sepsis in intensive care units |
title_fullStr | Risk factors for the prognosis of patients with sepsis in intensive care units |
title_full_unstemmed | Risk factors for the prognosis of patients with sepsis in intensive care units |
title_short | Risk factors for the prognosis of patients with sepsis in intensive care units |
title_sort | risk factors for the prognosis of patients with sepsis in intensive care units |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9447880/ https://www.ncbi.nlm.nih.gov/pubmed/36067189 http://dx.doi.org/10.1371/journal.pone.0273377 |
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