Cargando…
Thromboelastography Parameters as Predictors for Long-Term Survival in Critically Ill Patients
Thromboelastography (TEG) is used for monitoring abnormal blood coagulation in critically ill patients. However, the correlation between TEG parameters and long-term survival in these patients is unknown. We aimed to quantify the effect of TEG on long-term survival of critically ill patients. Critic...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6829951/ https://www.ncbi.nlm.nih.gov/pubmed/31549520 http://dx.doi.org/10.1177/1076029619876028 |
_version_ | 1783465677928005632 |
---|---|
author | Luo, Cuizhu Zhuang, Bingjie Chen, Zhongqing |
author_facet | Luo, Cuizhu Zhuang, Bingjie Chen, Zhongqing |
author_sort | Luo, Cuizhu |
collection | PubMed |
description | Thromboelastography (TEG) is used for monitoring abnormal blood coagulation in critically ill patients. However, the correlation between TEG parameters and long-term survival in these patients is unknown. We aimed to quantify the effect of TEG on long-term survival of critically ill patients. Critically ill patients undergoing TEG were retrospectively examined. Baseline patient characteristics and coagulation function indexes were compared. Cox regression, receiver–operating characteristic curve analysis, and Kaplan-Meier survival estimate curve were performed. We included 167 critically ill patients. Clot formation speed (K) and reaction time (R) were higher, whereas maximum amplitude (MA) and angle were lower in the mortality group than in the survival group (P < .01). All TEG parameters were risk factors for 2-year survival in critically ill patients (P < .01). The area under the curve of MA for predicting 2-year survival was 0.756 (95% confidence interval: 0.670-0.841). The Kaplan-Meier survival estimate curve analysis showed that MA predicted 2-year survival of critically ill patients(P < .01). Maximum amplitude can effectively predict 2-year survival of critically ill patients, indicating the influence of the coagulation system on these patients. |
format | Online Article Text |
id | pubmed-6829951 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-68299512019-11-13 Thromboelastography Parameters as Predictors for Long-Term Survival in Critically Ill Patients Luo, Cuizhu Zhuang, Bingjie Chen, Zhongqing Clin Appl Thromb Hemost Original Article Thromboelastography (TEG) is used for monitoring abnormal blood coagulation in critically ill patients. However, the correlation between TEG parameters and long-term survival in these patients is unknown. We aimed to quantify the effect of TEG on long-term survival of critically ill patients. Critically ill patients undergoing TEG were retrospectively examined. Baseline patient characteristics and coagulation function indexes were compared. Cox regression, receiver–operating characteristic curve analysis, and Kaplan-Meier survival estimate curve were performed. We included 167 critically ill patients. Clot formation speed (K) and reaction time (R) were higher, whereas maximum amplitude (MA) and angle were lower in the mortality group than in the survival group (P < .01). All TEG parameters were risk factors for 2-year survival in critically ill patients (P < .01). The area under the curve of MA for predicting 2-year survival was 0.756 (95% confidence interval: 0.670-0.841). The Kaplan-Meier survival estimate curve analysis showed that MA predicted 2-year survival of critically ill patients(P < .01). Maximum amplitude can effectively predict 2-year survival of critically ill patients, indicating the influence of the coagulation system on these patients. SAGE Publications 2019-09-24 /pmc/articles/PMC6829951/ /pubmed/31549520 http://dx.doi.org/10.1177/1076029619876028 Text en © The Author(s) 2019 http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.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 Article Luo, Cuizhu Zhuang, Bingjie Chen, Zhongqing Thromboelastography Parameters as Predictors for Long-Term Survival in Critically Ill Patients |
title | Thromboelastography Parameters as Predictors for Long-Term Survival in
Critically Ill Patients |
title_full | Thromboelastography Parameters as Predictors for Long-Term Survival in
Critically Ill Patients |
title_fullStr | Thromboelastography Parameters as Predictors for Long-Term Survival in
Critically Ill Patients |
title_full_unstemmed | Thromboelastography Parameters as Predictors for Long-Term Survival in
Critically Ill Patients |
title_short | Thromboelastography Parameters as Predictors for Long-Term Survival in
Critically Ill Patients |
title_sort | thromboelastography parameters as predictors for long-term survival in
critically ill patients |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6829951/ https://www.ncbi.nlm.nih.gov/pubmed/31549520 http://dx.doi.org/10.1177/1076029619876028 |
work_keys_str_mv | AT luocuizhu thromboelastographyparametersaspredictorsforlongtermsurvivalincriticallyillpatients AT zhuangbingjie thromboelastographyparametersaspredictorsforlongtermsurvivalincriticallyillpatients AT chenzhongqing thromboelastographyparametersaspredictorsforlongtermsurvivalincriticallyillpatients |