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Thrombo-inflammatory biomarkers to predict sepsis outcome
Background: Sepsis has been redefined recently as life-threatening organ dysfunction caused by dysregulated host responses to infection and septic shock. Soluble urokinase plasminogen activator receptor (SuPAR) and plasminogen activator inhibitor-1(PAI-1) concentration positively correlate to the ac...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521754/ https://www.ncbi.nlm.nih.gov/pubmed/34647483 http://dx.doi.org/10.1177/20587384211048561 |
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author | Efat, Alaa Shoeib, Sabry Abdallah Arafa, Ayman F Dawod, Ashraf Abdelraof Abd ElHafez, Mohamad A Abd ElMohsen, Essam A Eladly, Hany F Ibrahim, Reda A Elkholy, Aly |
author_facet | Efat, Alaa Shoeib, Sabry Abdallah Arafa, Ayman F Dawod, Ashraf Abdelraof Abd ElHafez, Mohamad A Abd ElMohsen, Essam A Eladly, Hany F Ibrahim, Reda A Elkholy, Aly |
author_sort | Efat, Alaa |
collection | PubMed |
description | Background: Sepsis has been redefined recently as life-threatening organ dysfunction caused by dysregulated host responses to infection and septic shock. Soluble urokinase plasminogen activator receptor (SuPAR) and plasminogen activator inhibitor-1(PAI-1) concentration positively correlate to the activation level of the immune system, and are markers of disease severity and aggressiveness. Objective: The study aimed to identify the blood level of plasminogen activator inhibitor-1 (PAI-1) and soluble urokinase plasminogen activator receptor (SuPAR) in sepsis and its association with mortality. Patient and methods: This is an observational prospective study that enrolled 60 adult patients with sepsis (according to SOFA), admitted to Menoufia and Zagazig university hospitals during the period from December 2019 till October 2020. Plasminogen activator inhibitor-1 (PAI-1) and soluble urokinase plasminogen activator receptor (SuPAR) were checked in all participants. Results: SuPAR and PAI.1 were significant independent predictors of hospital mortality. SuPAR showed sensitivity 100%, specificity 95.9%, and accuracy 94% for prediction of early mortality at a cutoff value of 13.4(pg/ml). While, PAI-1 demonstrated sensitivity 100%, specificity 93.9%, and accuracy of 95% at a cutoff value of 122.5 for predicting mortality. Conclusion: PAI-1 and suPAR were significant predictors of hospital mortality among sepsis patients. The sample size was relatively small, which may have decreased the statistical power of the results of the present study. Hence, additional studies with large sample sizes are required for further validation of the present results. |
format | Online Article Text |
id | pubmed-8521754 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-85217542021-10-19 Thrombo-inflammatory biomarkers to predict sepsis outcome Efat, Alaa Shoeib, Sabry Abdallah Arafa, Ayman F Dawod, Ashraf Abdelraof Abd ElHafez, Mohamad A Abd ElMohsen, Essam A Eladly, Hany F Ibrahim, Reda A Elkholy, Aly Int J Immunopathol Pharmacol Original Research Article Background: Sepsis has been redefined recently as life-threatening organ dysfunction caused by dysregulated host responses to infection and septic shock. Soluble urokinase plasminogen activator receptor (SuPAR) and plasminogen activator inhibitor-1(PAI-1) concentration positively correlate to the activation level of the immune system, and are markers of disease severity and aggressiveness. Objective: The study aimed to identify the blood level of plasminogen activator inhibitor-1 (PAI-1) and soluble urokinase plasminogen activator receptor (SuPAR) in sepsis and its association with mortality. Patient and methods: This is an observational prospective study that enrolled 60 adult patients with sepsis (according to SOFA), admitted to Menoufia and Zagazig university hospitals during the period from December 2019 till October 2020. Plasminogen activator inhibitor-1 (PAI-1) and soluble urokinase plasminogen activator receptor (SuPAR) were checked in all participants. Results: SuPAR and PAI.1 were significant independent predictors of hospital mortality. SuPAR showed sensitivity 100%, specificity 95.9%, and accuracy 94% for prediction of early mortality at a cutoff value of 13.4(pg/ml). While, PAI-1 demonstrated sensitivity 100%, specificity 93.9%, and accuracy of 95% at a cutoff value of 122.5 for predicting mortality. Conclusion: PAI-1 and suPAR were significant predictors of hospital mortality among sepsis patients. The sample size was relatively small, which may have decreased the statistical power of the results of the present study. Hence, additional studies with large sample sizes are required for further validation of the present results. SAGE Publications 2021-10-14 /pmc/articles/PMC8521754/ /pubmed/34647483 http://dx.doi.org/10.1177/20587384211048561 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Article Efat, Alaa Shoeib, Sabry Abdallah Arafa, Ayman F Dawod, Ashraf Abdelraof Abd ElHafez, Mohamad A Abd ElMohsen, Essam A Eladly, Hany F Ibrahim, Reda A Elkholy, Aly Thrombo-inflammatory biomarkers to predict sepsis outcome |
title | Thrombo-inflammatory biomarkers to predict sepsis outcome |
title_full | Thrombo-inflammatory biomarkers to predict sepsis outcome |
title_fullStr | Thrombo-inflammatory biomarkers to predict sepsis outcome |
title_full_unstemmed | Thrombo-inflammatory biomarkers to predict sepsis outcome |
title_short | Thrombo-inflammatory biomarkers to predict sepsis outcome |
title_sort | thrombo-inflammatory biomarkers to predict sepsis outcome |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521754/ https://www.ncbi.nlm.nih.gov/pubmed/34647483 http://dx.doi.org/10.1177/20587384211048561 |
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