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Plasminogen Activator Inhibitor 1 for Predicting Sepsis Severity and Mortality Outcomes: A Systematic Review and Meta-Analysis

OBJECTIVES: Plasminogen activator inhibitor-1 (PAI-1), a crucial regulator of fibrinolysis, is increased in sepsis, but its values in predicting disease severity or mortality outcomes have been controversial. Therefore, we conducted a systematic review and meta-analysis of its predictive values in s...

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Autores principales: Tipoe, Timothy L., Wu, William K. K., Chung, Lilianna, Gong, Mengqi, Dong, Mei, Liu, Tong, Roever, Leonardo, Ho, Jeffery, Wong, Martin C. S., Chan, Matthew T. V., Tse, Gary, Wu, Justin C. Y., Wong, Sunny H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6015919/
https://www.ncbi.nlm.nih.gov/pubmed/29967603
http://dx.doi.org/10.3389/fimmu.2018.01218
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author Tipoe, Timothy L.
Wu, William K. K.
Chung, Lilianna
Gong, Mengqi
Dong, Mei
Liu, Tong
Roever, Leonardo
Ho, Jeffery
Wong, Martin C. S.
Chan, Matthew T. V.
Tse, Gary
Wu, Justin C. Y.
Wong, Sunny H.
author_facet Tipoe, Timothy L.
Wu, William K. K.
Chung, Lilianna
Gong, Mengqi
Dong, Mei
Liu, Tong
Roever, Leonardo
Ho, Jeffery
Wong, Martin C. S.
Chan, Matthew T. V.
Tse, Gary
Wu, Justin C. Y.
Wong, Sunny H.
author_sort Tipoe, Timothy L.
collection PubMed
description OBJECTIVES: Plasminogen activator inhibitor-1 (PAI-1), a crucial regulator of fibrinolysis, is increased in sepsis, but its values in predicting disease severity or mortality outcomes have been controversial. Therefore, we conducted a systematic review and meta-analysis of its predictive values in sepsis. METHODS: PubMed and Embase were searched until August 18, 2017 for studies that evaluated the relationships between PAI-1 levels and disease severity or mortality in sepsis. RESULTS: A total of 112 and 251 entries were retrieved from the databases, of which 18 studies were included in the final meta-analysis. A total of 4,467 patients (36% male, mean age: 62 years, mean follow-up duration: 36 days) were analyzed. PAI-1 levels were significantly higher in non-survivors than survivors [odds ratios (OR): 3.93, 95% confidence interval (CI): 2.31–6.67, P < 0.0001] and in patients with severe sepsis than in those less severe sepsis (OR: 3.26, 95% CI: 1.37–7.75, P = 0.008). CONCLUSION: PAI-1 is a significant predictor of disease severity and all-cause mortality in sepsis. Although the predictive values of PAI-1 reached statistical significance, the clinical utility of PAI-1 in predicting outcomes will require carefully designed prospective trials.
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spelling pubmed-60159192018-07-02 Plasminogen Activator Inhibitor 1 for Predicting Sepsis Severity and Mortality Outcomes: A Systematic Review and Meta-Analysis Tipoe, Timothy L. Wu, William K. K. Chung, Lilianna Gong, Mengqi Dong, Mei Liu, Tong Roever, Leonardo Ho, Jeffery Wong, Martin C. S. Chan, Matthew T. V. Tse, Gary Wu, Justin C. Y. Wong, Sunny H. Front Immunol Immunology OBJECTIVES: Plasminogen activator inhibitor-1 (PAI-1), a crucial regulator of fibrinolysis, is increased in sepsis, but its values in predicting disease severity or mortality outcomes have been controversial. Therefore, we conducted a systematic review and meta-analysis of its predictive values in sepsis. METHODS: PubMed and Embase were searched until August 18, 2017 for studies that evaluated the relationships between PAI-1 levels and disease severity or mortality in sepsis. RESULTS: A total of 112 and 251 entries were retrieved from the databases, of which 18 studies were included in the final meta-analysis. A total of 4,467 patients (36% male, mean age: 62 years, mean follow-up duration: 36 days) were analyzed. PAI-1 levels were significantly higher in non-survivors than survivors [odds ratios (OR): 3.93, 95% confidence interval (CI): 2.31–6.67, P < 0.0001] and in patients with severe sepsis than in those less severe sepsis (OR: 3.26, 95% CI: 1.37–7.75, P = 0.008). CONCLUSION: PAI-1 is a significant predictor of disease severity and all-cause mortality in sepsis. Although the predictive values of PAI-1 reached statistical significance, the clinical utility of PAI-1 in predicting outcomes will require carefully designed prospective trials. Frontiers Media S.A. 2018-06-18 /pmc/articles/PMC6015919/ /pubmed/29967603 http://dx.doi.org/10.3389/fimmu.2018.01218 Text en Copyright © 2018 Tipoe, Wu, Chung, Gong, Dong, Liu, Roever, Ho, Wong, Chan, Tse, Wu and Wong. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Tipoe, Timothy L.
Wu, William K. K.
Chung, Lilianna
Gong, Mengqi
Dong, Mei
Liu, Tong
Roever, Leonardo
Ho, Jeffery
Wong, Martin C. S.
Chan, Matthew T. V.
Tse, Gary
Wu, Justin C. Y.
Wong, Sunny H.
Plasminogen Activator Inhibitor 1 for Predicting Sepsis Severity and Mortality Outcomes: A Systematic Review and Meta-Analysis
title Plasminogen Activator Inhibitor 1 for Predicting Sepsis Severity and Mortality Outcomes: A Systematic Review and Meta-Analysis
title_full Plasminogen Activator Inhibitor 1 for Predicting Sepsis Severity and Mortality Outcomes: A Systematic Review and Meta-Analysis
title_fullStr Plasminogen Activator Inhibitor 1 for Predicting Sepsis Severity and Mortality Outcomes: A Systematic Review and Meta-Analysis
title_full_unstemmed Plasminogen Activator Inhibitor 1 for Predicting Sepsis Severity and Mortality Outcomes: A Systematic Review and Meta-Analysis
title_short Plasminogen Activator Inhibitor 1 for Predicting Sepsis Severity and Mortality Outcomes: A Systematic Review and Meta-Analysis
title_sort plasminogen activator inhibitor 1 for predicting sepsis severity and mortality outcomes: a systematic review and meta-analysis
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6015919/
https://www.ncbi.nlm.nih.gov/pubmed/29967603
http://dx.doi.org/10.3389/fimmu.2018.01218
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